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\n  \n 2025\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n On the Identification of Temporal Causal Representation with Instantaneous Dependence.\n \n \n \n \n\n\n \n Li, Z.; Shen, Y.; Zheng, K.; Cai, R.; Song, X.; Gong, M.; Chen, G.; and Zhang, K.\n\n\n \n\n\n\n In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025. OpenReview.net\n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/iclr/0001SZCSG0025,\n  author       = {Zijian Li and\n                  Yifan Shen and\n                  Kaitao Zheng and\n                  Ruichu Cai and\n                  Xiangchen Song and\n                  Mingming Gong and\n                  Guangyi Chen and\n                  Kun Zhang},\n  title        = {On the Identification of Temporal Causal Representation with Instantaneous\n                  Dependence},\n  booktitle    = {The Thirteenth International Conference on Learning Representations,\n                  {ICLR} 2025, Singapore, April 24-28, 2025},\n  publisher    = {OpenReview.net},\n  year         = {2025},\n  url          = {https://openreview.net/forum?id=2efNHgYRvM},\n  timestamp    = {Thu, 15 May 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/iclr/0001SZCSG0025.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Reflection-Window Decoding: Text Generation with Selective Refinement.\n \n \n \n \n\n\n \n Tang, Z.; Chen, Z.; Li, L.; Song, X.; Deng, Y.; Shen, Y.; Chen, G.; Spirtes, P.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2502.03678. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"Reflection-WindowPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2502-03678,\n  author       = {Zeyu Tang and\n                  Zhenhao Chen and\n                  Loka Li and\n                  Xiangchen Song and\n                  Yunlong Deng and\n                  Yifan Shen and\n                  Guangyi Chen and\n                  Peter Spirtes and\n                  Kun Zhang},\n  title        = {Reflection-Window Decoding: Text Generation with Selective Refinement},\n  journal      = {CoRR},\n  volume       = {abs/2502.03678},\n  year         = {2025},\n  url          = {https://doi.org/10.48550/arXiv.2502.03678},\n  doi          = {10.48550/ARXIV.2502.03678},\n  eprinttype    = {arXiv},\n  eprint       = {2502.03678},\n  timestamp    = {Sat, 31 May 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2502-03678.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs.\n \n \n \n \n\n\n \n Song, X.; Muhamed, A.; Zheng, Y.; Kong, L.; Tang, Z.; Diab, M. T.; Smith, V.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2505.20254. 2025.\n \n\n\n\n
\n\n\n\n \n \n \"Position:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2505-20254,\n  author       = {Xiangchen Song and\n                  Aashiq Muhamed and\n                  Yujia Zheng and\n                  Lingjing Kong and\n                  Zeyu Tang and\n                  Mona T. Diab and\n                  Virginia Smith and\n                  Kun Zhang},\n  title        = {Position: Mechanistic Interpretability Should Prioritize Feature Consistency\n                  in SAEs},\n  journal      = {CoRR},\n  volume       = {abs/2505.20254},\n  year         = {2025},\n  url          = {https://doi.org/10.48550/arXiv.2505.20254},\n  doi          = {10.48550/ARXIV.2505.20254},\n  eprinttype    = {arXiv},\n  eprint       = {2505.20254},\n  timestamp    = {Fri, 27 Jun 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2505-20254.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2024\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables.\n \n \n \n \n\n\n \n Dong, X.; Huang, B.; Ng, I.; Song, X.; Zheng, Y.; Jin, S.; Legaspi, R.; Spirtes, P.; and Zhang, K.\n\n\n \n\n\n\n In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024. OpenReview.net\n \n\n\n\n
\n\n\n\n \n \n Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/iclr/DongHNSZJLS024,\n  author       = {Xinshuai Dong and\n                  Biwei Huang and\n                  Ignavier Ng and\n                  Xiangchen Song and\n                  Yujia Zheng and\n                  Songyao Jin and\n                  Roberto Legaspi and\n                  Peter Spirtes and\n                  Kun Zhang},\n  title        = {A Versatile Causal Discovery Framework to Allow Causally-Related Hidden\n                  Variables},\n  booktitle    = {The Twelfth International Conference on Learning Representations,\n                  {ICLR} 2024, Vienna, Austria, May 7-11, 2024},\n  publisher    = {OpenReview.net},\n  year         = {2024},\n  url          = {https://openreview.net/forum?id=FhQSGhBlqv},\n  timestamp    = {Fri, 07 Feb 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/iclr/DongHNSZJLS024.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process.\n \n \n \n \n\n\n \n Chen, G.; Shen, Y.; Chen, Z.; Song, X.; Sun, Y.; Yao, W.; Liu, X.; and Zhang, K.\n\n\n \n\n\n\n In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024. OpenReview.net\n \n\n\n\n
\n\n\n\n \n \n \"CaRiNG:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/icml/0002SCSSYL024,\n  author       = {Guangyi Chen and\n                  Yifan Shen and\n                  Zhenhao Chen and\n                  Xiangchen Song and\n                  Yuewen Sun and\n                  Weiran Yao and\n                  Xiao Liu and\n                  Kun Zhang},\n  title        = {CaRiNG: Learning Temporal Causal Representation under Non-Invertible\n                  Generation Process},\n  booktitle    = {Forty-first International Conference on Machine Learning, {ICML} 2024,\n                  Vienna, Austria, July 21-27, 2024},\n  publisher    = {OpenReview.net},\n  year         = {2024},\n  url          = {https://openreview.net/forum?id=sLZzFTMWSt},\n  timestamp    = {Tue, 13 May 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/icml/0002SCSSYL024.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Causal Temporal Representation Learning with Nonstationary Sparse Transition.\n \n \n \n \n\n\n \n Song, X.; Li, Z.; Chen, G.; Zheng, Y.; Fan, Y.; Dong, X.; and Zhang, K.\n\n\n \n\n\n\n In Globersons, A.; Mackey, L.; Belgrave, D.; Fan, A.; Paquet, U.; Tomczak, J. M.; and Zhang, C., editor(s), Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024. \n \n\n\n\n
\n\n\n\n \n \n \"CausalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/Song000FDZ24,\n  author       = {Xiangchen Song and\n                  Zijian Li and\n                  Guangyi Chen and\n                  Yujia Zheng and\n                  Yewen Fan and\n                  Xinshuai Dong and\n                  Kun Zhang},\n  editor       = {Amir Globersons and\n                  Lester Mackey and\n                  Danielle Belgrave and\n                  Angela Fan and\n                  Ulrich Paquet and\n                  Jakub M. Tomczak and\n                  Cheng Zhang},\n  title        = {Causal Temporal Representation Learning with Nonstationary Sparse\n                  Transition},\n  booktitle    = {Advances in Neural Information Processing Systems 38: Annual Conference\n                  on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver,\n                  BC, Canada, December 10 - 15, 2024},\n  year         = {2024},\n  url          = {http://papers.nips.cc/paper\\_files/paper/2024/hash/8cef4e4bcb85f7d4a1005a9db018d6b6-Abstract-Conference.html},\n  timestamp    = {Thu, 13 Feb 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/nips/Song000FDZ24.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process.\n \n \n \n \n\n\n \n Chen, G.; Shen, Y.; Chen, Z.; Song, X.; Sun, Y.; Yao, W.; Liu, X.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2401.14535. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"CaRiNG:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2401-14535,\n  author       = {Guangyi Chen and\n                  Yifan Shen and\n                  Zhenhao Chen and\n                  Xiangchen Song and\n                  Yuewen Sun and\n                  Weiran Yao and\n                  Xiao Liu and\n                  Kun Zhang},\n  title        = {CaRiNG: Learning Temporal Causal Representation under Non-Invertible\n                  Generation Process},\n  journal      = {CoRR},\n  volume       = {abs/2401.14535},\n  year         = {2024},\n  url          = {https://doi.org/10.48550/arXiv.2401.14535},\n  doi          = {10.48550/ARXIV.2401.14535},\n  eprinttype    = {arXiv},\n  eprint       = {2401.14535},\n  timestamp    = {Sat, 31 May 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2401-14535.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models.\n \n \n \n \n\n\n \n Fan, Y.; Si, N.; Song, X.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2401.16692. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"Calibration-then-Calculation:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2401-16692,\n  author       = {Yewen Fan and\n                  Nian Si and\n                  Xiangchen Song and\n                  Kun Zhang},\n  title        = {Calibration-then-Calculation: {A} Variance Reduced Metric Framework\n                  in Deep Click-Through Rate Prediction Models},\n  journal      = {CoRR},\n  volume       = {abs/2401.16692},\n  year         = {2024},\n  url          = {https://doi.org/10.48550/arXiv.2401.16692},\n  doi          = {10.48550/ARXIV.2401.16692},\n  eprinttype    = {arXiv},\n  eprint       = {2401.16692},\n  timestamp    = {Tue, 06 Feb 2024 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2401-16692.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting.\n \n \n \n \n\n\n \n Li, Z.; Cai, R.; Yang, Z.; Huang, H.; Chen, G.; Shen, Y.; Chen, Z.; Song, X.; Hao, Z.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2402.12767. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"WhenPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2402-12767,\n  author       = {Zijian Li and\n                  Ruichu Cai and\n                  Zhenhui Yang and\n                  Haiqin Huang and\n                  Guangyi Chen and\n                  Yifan Shen and\n                  Zhengming Chen and\n                  Xiangchen Song and\n                  Zhifeng Hao and\n                  Kun Zhang},\n  title        = {When and How: Learning Identifiable Latent States for Nonstationary\n                  Time Series Forecasting},\n  journal      = {CoRR},\n  volume       = {abs/2402.12767},\n  year         = {2024},\n  url          = {https://doi.org/10.48550/arXiv.2402.12767},\n  doi          = {10.48550/ARXIV.2402.12767},\n  eprinttype    = {arXiv},\n  eprint       = {2402.12767},\n  timestamp    = {Sat, 31 May 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2402-12767.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions.\n \n \n \n \n\n\n \n Rastogi, C.; Song, X.; Jin, Z.; Stelmakh, I.; III, H. D.; Zhang, K.; and Shah, N. B.\n\n\n \n\n\n\n CoRR, abs/2403.01015. 2024.\n \n\n\n\n
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@article{DBLP:journals/corr/abs-2403-01015,\n  author       = {Charvi Rastogi and\n                  Xiangchen Song and\n                  Zhijing Jin and\n                  Ivan Stelmakh and\n                  Hal Daum{\\'{e}} III and\n                  Kun Zhang and\n                  Nihar B. Shah},\n  title        = {A Randomized Controlled Trial on Anonymizing Reviewers to Each Other\n                  in Peer Review Discussions},\n  journal      = {CoRR},\n  volume       = {abs/2403.01015},\n  year         = {2024},\n  url          = {https://doi.org/10.48550/arXiv.2403.01015},\n  doi          = {10.48550/ARXIV.2403.01015},\n  eprinttype    = {arXiv},\n  eprint       = {2403.01015},\n  timestamp    = {Wed, 13 Nov 2024 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2403-01015.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n On the Identification of Temporally Causal Representation with Instantaneous Dependence.\n \n \n \n \n\n\n \n Li, Z.; Shen, Y.; Zheng, K.; Cai, R.; Song, X.; Gong, M.; Hao, Z.; Zhu, Z.; Chen, G.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2405.15325. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2405-15325,\n  author       = {Zijian Li and\n                  Yifan Shen and\n                  Kaitao Zheng and\n                  Ruichu Cai and\n                  Xiangchen Song and\n                  Mingming Gong and\n                  Zhifeng Hao and\n                  Zhengmao Zhu and\n                  Guangyi Chen and\n                  Kun Zhang},\n  title        = {On the Identification of Temporally Causal Representation with Instantaneous\n                  Dependence},\n  journal      = {CoRR},\n  volume       = {abs/2405.15325},\n  year         = {2024},\n  url          = {https://doi.org/10.48550/arXiv.2405.15325},\n  doi          = {10.48550/ARXIV.2405.15325},\n  eprinttype    = {arXiv},\n  eprint       = {2405.15325},\n  timestamp    = {Sat, 31 May 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2405-15325.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Causal Temporal Representation Learning with Nonstationary Sparse Transition.\n \n \n \n \n\n\n \n Song, X.; Li, Z.; Chen, G.; Zheng, Y.; Fan, Y.; Dong, X.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2409.03142. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"CausalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2409-03142,\n  author       = {Xiangchen Song and\n                  Zijian Li and\n                  Guangyi Chen and\n                  Yujia Zheng and\n                  Yewen Fan and\n                  Xinshuai Dong and\n                  Kun Zhang},\n  title        = {Causal Temporal Representation Learning with Nonstationary Sparse\n                  Transition},\n  journal      = {CoRR},\n  volume       = {abs/2409.03142},\n  year         = {2024},\n  url          = {https://doi.org/10.48550/arXiv.2409.03142},\n  doi          = {10.48550/ARXIV.2409.03142},\n  eprinttype    = {arXiv},\n  eprint       = {2409.03142},\n  timestamp    = {Fri, 07 Feb 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2409-03142.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders.\n \n \n \n \n\n\n \n Cao, D.; Enouen, J.; Wang, Y.; Song, X.; Meng, C.; Niu, H.; and Liu, Y.\n\n\n \n\n\n\n In Williams, B.; Chen, Y.; and Neville, J., editor(s), Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, pages 6897–6905, 2023. AAAI Press\n \n\n\n\n
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@inproceedings{DBLP:conf/aaai/CaoEWSMNL23,\n  author       = {Defu Cao and\n                  James Enouen and\n                  Yujing Wang and\n                  Xiangchen Song and\n                  Chuizheng Meng and\n                  Hao Niu and\n                  Yan Liu},\n  editor       = {Brian Williams and\n                  Yiling Chen and\n                  Jennifer Neville},\n  title        = {Estimating Treatment Effects from Irregular Time Series Observations\n                  with Hidden Confounders},\n  booktitle    = {Thirty-Seventh {AAAI} Conference on Artificial Intelligence, {AAAI}\n                  2023, Thirty-Fifth Conference on Innovative Applications of Artificial\n                  Intelligence, {IAAI} 2023, Thirteenth Symposium on Educational Advances\n                  in Artificial Intelligence, {EAAI} 2023, Washington, DC, USA, February\n                  7-14, 2023},\n  pages        = {6897--6905},\n  publisher    = {{AAAI} Press},\n  year         = {2023},\n  url          = {https://doi.org/10.1609/aaai.v37i6.25844},\n  doi          = {10.1609/AAAI.V37I6.25844},\n  timestamp    = {Tue, 11 Feb 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/aaai/CaoEWSMNL23.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n PLOT: Prompt Learning with Optimal Transport for Vision-Language Models.\n \n \n \n \n\n\n \n Chen, G.; Yao, W.; Song, X.; Li, X.; Rao, Y.; and Zhang, K.\n\n\n \n\n\n\n In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023. OpenReview.net\n \n\n\n\n
\n\n\n\n \n \n \"PLOT:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/iclr/0002YSLR023,\n  author       = {Guangyi Chen and\n                  Weiran Yao and\n                  Xiangchen Song and\n                  Xinyue Li and\n                  Yongming Rao and\n                  Kun Zhang},\n  title        = {{PLOT:} Prompt Learning with Optimal Transport for Vision-Language\n                  Models},\n  booktitle    = {The Eleventh International Conference on Learning Representations,\n                  {ICLR} 2023, Kigali, Rwanda, May 1-5, 2023},\n  publisher    = {OpenReview.net},\n  year         = {2023},\n  url          = {https://openreview.net/forum?id=zqwryBoXYnh},\n  timestamp    = {Wed, 24 Jul 2024 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/iclr/0002YSLR023.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.\n \n \n \n \n\n\n \n Yu, Y.; Kan, X.; Cui, H.; Xu, R.; Zheng, Y.; Song, X.; Zhu, Y.; Zhang, K.; Nabi, R.; Guo, Y.; Zhang, C.; and Yang, C.\n\n\n \n\n\n\n In 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, pages 1–5, 2023. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"DeepPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/isbi/YuKCXZSZZNGZY23,\n  author       = {Yue Yu and\n                  Xuan Kan and\n                  Hejie Cui and\n                  Ran Xu and\n                  Yujia Zheng and\n                  Xiangchen Song and\n                  Yanqiao Zhu and\n                  Kun Zhang and\n                  Razieh Nabi and\n                  Ying Guo and\n                  Chao Zhang and\n                  Carl Yang},\n  title        = {Deep Dag Learning of Effective Brain Connectivity for {FMRI} Analysis},\n  booktitle    = {20th {IEEE} International Symposium on Biomedical Imaging, {ISBI}\n                  2023, Cartagena, Colombia, April 18-21, 2023},\n  pages        = {1--5},\n  publisher    = {{IEEE}},\n  year         = {2023},\n  url          = {https://doi.org/10.1109/ISBI53787.2023.10230429},\n  doi          = {10.1109/ISBI53787.2023.10230429},\n  timestamp    = {Thu, 24 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/isbi/YuKCXZSZZNGZY23.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Temporally Disentangled Representation Learning under Unknown Nonstationarity.\n \n \n \n \n\n\n \n Song, X.; Yao, W.; Fan, Y.; Dong, X.; Chen, G.; Niebles, J. C.; Xing, E. P.; and Zhang, K.\n\n\n \n\n\n\n In Oh, A.; Naumann, T.; Globerson, A.; Saenko, K.; Hardt, M.; and Levine, S., editor(s), Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"TemporallyPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/nips/SongYFD0NX023,\n  author       = {Xiangchen Song and\n                  Weiran Yao and\n                  Yewen Fan and\n                  Xinshuai Dong and\n                  Guangyi Chen and\n                  Juan Carlos Niebles and\n                  Eric P. Xing and\n                  Kun Zhang},\n  editor       = {Alice Oh and\n                  Tristan Naumann and\n                  Amir Globerson and\n                  Kate Saenko and\n                  Moritz Hardt and\n                  Sergey Levine},\n  title        = {Temporally Disentangled Representation Learning under Unknown Nonstationarity},\n  booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference\n                  on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,\n                  LA, USA, December 10 - 16, 2023},\n  year         = {2023},\n  url          = {http://papers.nips.cc/paper\\_files/paper/2023/hash/19a567abaec3990cb40d7a013556fecd-Abstract-Conference.html},\n  timestamp    = {Wed, 19 Jun 2024 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/nips/SongYFD0NX023.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders.\n \n \n \n \n\n\n \n Cao, D.; Enouen, J.; Wang, Y.; Song, X.; Meng, C.; Niu, H.; and Liu, Y.\n\n\n \n\n\n\n CoRR, abs/2303.02320. 2023.\n \n\n\n\n
\n\n\n\n \n \n Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2303-02320,\n  author       = {Defu Cao and\n                  James Enouen and\n                  Yujing Wang and\n                  Xiangchen Song and\n                  Chuizheng Meng and\n                  Hao Niu and\n                  Yan Liu},\n  title        = {Estimating Treatment Effects from Irregular Time Series Observations\n                  with Hidden Confounders},\n  journal      = {CoRR},\n  volume       = {abs/2303.02320},\n  year         = {2023},\n  url          = {https://doi.org/10.48550/arXiv.2303.02320},\n  doi          = {10.48550/ARXIV.2303.02320},\n  eprinttype    = {arXiv},\n  eprint       = {2303.02320},\n  timestamp    = {Tue, 11 Feb 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2303-02320.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Temporally Disentangled Representation Learning under Unknown Nonstationarity.\n \n \n \n \n\n\n \n Song, X.; Yao, W.; Fan, Y.; Dong, X.; Chen, G.; Niebles, J. C.; Xing, E. P.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2310.18615. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"TemporallyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2310-18615,\n  author       = {Xiangchen Song and\n                  Weiran Yao and\n                  Yewen Fan and\n                  Xinshuai Dong and\n                  Guangyi Chen and\n                  Juan Carlos Niebles and\n                  Eric P. Xing and\n                  Kun Zhang},\n  title        = {Temporally Disentangled Representation Learning under Unknown Nonstationarity},\n  journal      = {CoRR},\n  volume       = {abs/2310.18615},\n  year         = {2023},\n  url          = {https://doi.org/10.48550/arXiv.2310.18615},\n  doi          = {10.48550/ARXIV.2310.18615},\n  eprinttype    = {arXiv},\n  eprint       = {2310.18615},\n  timestamp    = {Sun, 04 Aug 2024 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2310-18615.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables.\n \n \n \n \n\n\n \n Dong, X.; Huang, B.; Ng, I.; Song, X.; Zheng, Y.; Jin, S.; Legaspi, R.; Spirtes, P.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2312.11001. 2023.\n \n\n\n\n
\n\n\n\n \n \n Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2312-11001,\n  author       = {Xinshuai Dong and\n                  Biwei Huang and\n                  Ignavier Ng and\n                  Xiangchen Song and\n                  Yujia Zheng and\n                  Songyao Jin and\n                  Roberto Legaspi and\n                  Peter Spirtes and\n                  Kun Zhang},\n  title        = {A Versatile Causal Discovery Framework to Allow Causally-Related Hidden\n                  Variables},\n  journal      = {CoRR},\n  volume       = {abs/2312.11001},\n  year         = {2023},\n  url          = {https://doi.org/10.48550/arXiv.2312.11001},\n  doi          = {10.48550/ARXIV.2312.11001},\n  eprinttype    = {arXiv},\n  eprint       = {2312.11001},\n  timestamp    = {Fri, 07 Feb 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2312-11001.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2022\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n When Aloha and CSMA Coexist: Modeling, Fairness, and Throughput Optimization.\n \n \n \n \n\n\n \n Gao, Y.; Fang, S.; Song, X.; and Dai, L.\n\n\n \n\n\n\n IEEE Trans. Wirel. Commun., 21(10): 8163–8178. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"WhenPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/twc/GaoFSD22,\n  author       = {Yayu Gao and\n                  Shuangfeng Fang and\n                  Xiangchen Song and\n                  Lin Dai},\n  title        = {When Aloha and {CSMA} Coexist: Modeling, Fairness, and Throughput\n                  Optimization},\n  journal      = {{IEEE} Trans. Wirel. Commun.},\n  volume       = {21},\n  number       = {10},\n  pages        = {8163--8178},\n  year         = {2022},\n  url          = {https://doi.org/10.1109/TWC.2022.3164463},\n  doi          = {10.1109/TWC.2022.3164463},\n  timestamp    = {Sun, 13 Nov 2022 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/twc/GaoFSD22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).\n \n \n \n \n\n\n \n Yu, Y.; Kan, X.; Cui, H.; Xu, R.; Zheng, Y.; Song, X.; Zhu, Y.; Zhang, K.; Nabi, R.; Guo, Y.; Zhang, C.; and Yang, C.\n\n\n \n\n\n\n In Tsumoto, S.; Ohsawa, Y.; Chen, L.; den Poel, D. V.; Hu, X.; Motomura, Y.; Takagi, T.; Wu, L.; Xie, Y.; Abe, A.; and Raghavan, V., editor(s), IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pages 4995–4996, 2022. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/bigdataconf/YuKCXZSZZNGZY22,\n  author       = {Yue Yu and\n                  Xuan Kan and\n                  Hejie Cui and\n                  Ran Xu and\n                  Yujia Zheng and\n                  Xiangchen Song and\n                  Yanqiao Zhu and\n                  Kun Zhang and\n                  Razieh Nabi and\n                  Ying Guo and\n                  Chao Zhang and\n                  Carl Yang},\n  editor       = {Shusaku Tsumoto and\n                  Yukio Ohsawa and\n                  Lei Chen and\n                  Dirk Van den Poel and\n                  Xiaohua Hu and\n                  Yoichi Motomura and\n                  Takuya Takagi and\n                  Lingfei Wu and\n                  Ying Xie and\n                  Akihiro Abe and\n                  Vijay Raghavan},\n  title        = {Learning Task-Aware Effective Brain Connectivity for fMRI Analysis\n                  with Graph Neural Networks (Extended Abstract)},\n  booktitle    = {{IEEE} International Conference on Big Data, Big Data 2022, Osaka,\n                  Japan, December 17-20, 2022},\n  pages        = {4995--4996},\n  publisher    = {{IEEE}},\n  year         = {2022},\n  url          = {https://doi.org/10.1109/BigData55660.2022.10020955},\n  doi          = {10.1109/BIGDATA55660.2022.10020955},\n  timestamp    = {Thu, 24 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/bigdataconf/YuKCXZSZZNGZY22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation.\n \n \n \n \n\n\n \n Chen, Y.; Yang, Y.; Wang, Y.; Bai, J.; Song, X.; and King, I.\n\n\n \n\n\n\n In 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022, pages 299–311, 2022. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"AttentivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/icde/ChenYWBSK22,\n  author       = {Yankai Chen and\n                  Yaming Yang and\n                  Yujing Wang and\n                  Jing Bai and\n                  Xiangchen Song and\n                  Irwin King},\n  title        = {Attentive Knowledge-aware Graph Convolutional Networks with Collaborative\n                  Guidance for Personalized Recommendation},\n  booktitle    = {38th {IEEE} International Conference on Data Engineering, {ICDE} 2022,\n                  Kuala Lumpur, Malaysia, May 9-12, 2022},\n  pages        = {299--311},\n  publisher    = {{IEEE}},\n  year         = {2022},\n  url          = {https://doi.org/10.1109/ICDE53745.2022.00027},\n  doi          = {10.1109/ICDE53745.2022.00027},\n  timestamp    = {Mon, 26 Jun 2023 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/icde/ChenYWBSK22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Creating Training Sets via Weak Indirect Supervision.\n \n \n \n \n\n\n \n Zhang, J.; Wang, B.; Song, X.; Wang, Y.; Yang, Y.; Bai, J.; and Ratner, A.\n\n\n \n\n\n\n In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022. OpenReview.net\n \n\n\n\n
\n\n\n\n \n \n \"CreatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/iclr/ZhangWSW00R22,\n  author       = {Jieyu Zhang and\n                  Bohan Wang and\n                  Xiangchen Song and\n                  Yujing Wang and\n                  Yaming Yang and\n                  Jing Bai and\n                  Alexander Ratner},\n  title        = {Creating Training Sets via Weak Indirect Supervision},\n  booktitle    = {The Tenth International Conference on Learning Representations, {ICLR}\n                  2022, Virtual Event, April 25-29, 2022},\n  publisher    = {OpenReview.net},\n  year         = {2022},\n  url          = {https://openreview.net/forum?id=m8uJvVgwRci},\n  timestamp    = {Tue, 01 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/iclr/ZhangWSW00R22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation.\n \n \n \n \n\n\n \n Guo, J.; Yang, Y.; Song, X.; Zhang, Y.; Wang, Y.; Bai, J.; and Zhang, Y.\n\n\n \n\n\n\n In Candan, K. S.; Liu, H.; Akoglu, L.; Dong, X. L.; and Tang, J., editor(s), WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, pages 343–352, 2022. ACM\n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/wsdm/Guo0SZWBZ22,\n  author       = {Jiayan Guo and\n                  Yaming Yang and\n                  Xiangchen Song and\n                  Yuan Zhang and\n                  Yujing Wang and\n                  Jing Bai and\n                  Yan Zhang},\n  editor       = {K. Selcuk Candan and\n                  Huan Liu and\n                  Leman Akoglu and\n                  Xin Luna Dong and\n                  Jiliang Tang},\n  title        = {Learning Multi-granularity Consecutive User Intent Unit for Session-based\n                  Recommendation},\n  booktitle    = {{WSDM} '22: The Fifteenth {ACM} International Conference on Web Search\n                  and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25,\n                  2022},\n  pages        = {343--352},\n  publisher    = {{ACM}},\n  year         = {2022},\n  url          = {https://doi.org/10.1145/3488560.3498524},\n  doi          = {10.1145/3488560.3498524},\n  timestamp    = {Fri, 07 Mar 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/wsdm/Guo0SZWBZ22.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations.\n \n \n \n \n\n\n \n Jiang, M.; Song, X.; Zhang, J.; and Han, J.\n\n\n \n\n\n\n In Laforest, F.; Troncy, R.; Simperl, E.; Agarwal, D.; Gionis, A.; Herman, I.; and Médini, L., editor(s), WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, pages 925–934, 2022. ACM\n \n\n\n\n
\n\n\n\n \n \n \"TaxoEnrich:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/www/JiangSZ022,\n  author       = {Minhao Jiang and\n                  Xiangchen Song and\n                  Jieyu Zhang and\n                  Jiawei Han},\n  editor       = {Fr{\\'{e}}d{\\'{e}}rique Laforest and\n                  Rapha{\\"{e}}l Troncy and\n                  Elena Simperl and\n                  Deepak Agarwal and\n                  Aristides Gionis and\n                  Ivan Herman and\n                  Lionel M{\\'{e}}dini},\n  title        = {TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic\n                  Representations},\n  booktitle    = {{WWW} '22: The {ACM} Web Conference 2022, Virtual Event, Lyon, France,\n                  April 25 - 29, 2022},\n  pages        = {925--934},\n  publisher    = {{ACM}},\n  year         = {2022},\n  url          = {https://doi.org/10.1145/3485447.3511935},\n  doi          = {10.1145/3485447.3511935},\n  timestamp    = {Tue, 01 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/www/JiangSZ022.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations.\n \n \n \n \n\n\n \n Jiang, M.; Song, X.; Zhang, J.; and Han, J.\n\n\n \n\n\n\n CoRR, abs/2202.04887. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"TaxoEnrich:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2202-04887,\n  author       = {Minhao Jiang and\n                  Xiangchen Song and\n                  Jieyu Zhang and\n                  Jiawei Han},\n  title        = {TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic\n                  Representations},\n  journal      = {CoRR},\n  volume       = {abs/2202.04887},\n  year         = {2022},\n  url          = {https://arxiv.org/abs/2202.04887},\n  eprinttype    = {arXiv},\n  eprint       = {2202.04887},\n  timestamp    = {Tue, 01 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2202-04887.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Prompt Learning with Optimal Transport for Vision-Language Models.\n \n \n \n \n\n\n \n Chen, G.; Yao, W.; Song, X.; Li, X.; Rao, Y.; and Zhang, K.\n\n\n \n\n\n\n CoRR, abs/2210.01253. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PromptPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{DBLP:journals/corr/abs-2210-01253,\n  author       = {Guangyi Chen and\n                  Weiran Yao and\n                  Xiangchen Song and\n                  Xinyue Li and\n                  Yongming Rao and\n                  Kun Zhang},\n  title        = {Prompt Learning with Optimal Transport for Vision-Language Models},\n  journal      = {CoRR},\n  volume       = {abs/2210.01253},\n  year         = {2022},\n  url          = {https://doi.org/10.48550/arXiv.2210.01253},\n  doi          = {10.48550/ARXIV.2210.01253},\n  eprinttype    = {arXiv},\n  eprint       = {2210.01253},\n  timestamp    = {Sun, 04 Aug 2024 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2210-01253.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.\n \n \n \n \n\n\n \n Yu, Y.; Kan, X.; Cui, H.; Xu, R.; Zheng, Y.; Song, X.; Zhu, Y.; Zhang, K.; Nabi, R.; Guo, Y.; Zhang, C.; and Yang, C.\n\n\n \n\n\n\n CoRR, abs/2211.00261. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{DBLP:journals/corr/abs-2211-00261,\n  author       = {Yue Yu and\n                  Xuan Kan and\n                  Hejie Cui and\n                  Ran Xu and\n                  Yujia Zheng and\n                  Xiangchen Song and\n                  Yanqiao Zhu and\n                  Kun Zhang and\n                  Razieh Nabi and\n                  Ying Guo and\n                  Chao Zhang and\n                  Carl Yang},\n  title        = {Learning Task-Aware Effective Brain Connectivity for fMRI Analysis\n                  with Graph Neural Networks},\n  journal      = {CoRR},\n  volume       = {abs/2211.00261},\n  year         = {2022},\n  url          = {https://doi.org/10.48550/arXiv.2211.00261},\n  doi          = {10.48550/ARXIV.2211.00261},\n  eprinttype    = {arXiv},\n  eprint       = {2211.00261},\n  timestamp    = {Thu, 24 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2211-00261.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2021\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Taxonomy Completion via Triplet Matching Network.\n \n \n \n \n\n\n \n Zhang, J.; Song, X.; Zeng, Y.; Chen, J.; Shen, J.; Mao, Y.; and Li, L.\n\n\n \n\n\n\n In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pages 4662–4670, 2021. AAAI Press\n \n\n\n\n
\n\n\n\n \n \n \"TaxonomyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{DBLP:conf/aaai/ZhangSZCSM021,\n  author       = {Jieyu Zhang and\n                  Xiangchen Song and\n                  Ying Zeng and\n                  Jiaze Chen and\n                  Jiaming Shen and\n                  Yuning Mao and\n                  Lei Li},\n  title        = {Taxonomy Completion via Triplet Matching Network},\n  booktitle    = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence, {AAAI}\n                  2021, Thirty-Third Conference on Innovative Applications of Artificial\n                  Intelligence, {IAAI} 2021, The Eleventh Symposium on Educational Advances\n                  in Artificial Intelligence, {EAAI} 2021, Virtual Event, February 2-9,\n                  2021},\n  pages        = {4662--4670},\n  publisher    = {{AAAI} Press},\n  year         = {2021},\n  url          = {https://doi.org/10.1609/aaai.v35i5.16596},\n  doi          = {10.1609/AAAI.V35I5.16596},\n  timestamp    = {Tue, 01 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/aaai/ZhangSZCSM021.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision.\n \n \n \n \n\n\n \n Wang, X.; Hu, V.; Song, X.; Garg, S.; Xiao, J.; and Han, J.\n\n\n \n\n\n\n In Moens, M.; Huang, X.; Specia, L.; and Yih, S. W., editor(s), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pages 5227–5240, 2021. Association for Computational Linguistics\n \n\n\n\n
\n\n\n\n \n \n \"ChemNER:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{DBLP:conf/emnlp/WangHSGX021,\n  author       = {Xuan Wang and\n                  Vivian Hu and\n                  Xiangchen Song and\n                  Shweta Garg and\n                  Jinfeng Xiao and\n                  Jiawei Han},\n  editor       = {Marie{-}Francine Moens and\n                  Xuanjing Huang and\n                  Lucia Specia and\n                  Scott Wen{-}tau Yih},\n  title        = {ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided\n                  Distant Supervision},\n  booktitle    = {Proceedings of the 2021 Conference on Empirical Methods in Natural\n                  Language Processing, {EMNLP} 2021, Virtual Event / Punta Cana, Dominican\n                  Republic, 7-11 November, 2021},\n  pages        = {5227--5240},\n  publisher    = {Association for Computational Linguistics},\n  year         = {2021},\n  url          = {https://doi.org/10.18653/v1/2021.emnlp-main.424},\n  doi          = {10.18653/V1/2021.EMNLP-MAIN.424},\n  timestamp    = {Fri, 16 Feb 2024 08:27:36 +0100},\n  biburl       = {https://dblp.org/rec/conf/emnlp/WangHSGX021.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.\n \n \n \n \n\n\n \n Wang, Q.; Li, M.; Wang, X.; Parulian, N. N.; Han, G.; Ma, J.; Tu, J.; Lin, Y.; Zhang, H.; Liu, W.; Chauhan, A.; Guan, Y.; Li, B.; Li, R.; Song, X.; Fung, Y. R.; Ji, H.; Han, J.; Chang, S.; Pustejovsky, J.; Rah, J.; Liem, D.; Elsayed, A.; Palmer, M.; Voss, C. R.; Schneider, C.; and Onyshkevych, B. A.\n\n\n \n\n\n\n In Sil, A.; and Lin, X. V., editor(s), Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, NAACL-HLT 2021, Online, June 6-11, 2021, pages 66–77, 2021. Association for Computational Linguistics\n \n\n\n\n
\n\n\n\n \n \n \"COVID-19Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{DBLP:conf/naacl/WangLWPHMTLZLCG21,\n  author       = {Qingyun Wang and\n                  Manling Li and\n                  Xuan Wang and\n                  Nikolaus Nova Parulian and\n                  Guangxing Han and\n                  Jiawei Ma and\n                  Jingxuan Tu and\n                  Ying Lin and\n                  Haoran Zhang and\n                  Weili Liu and\n                  Aabhas Chauhan and\n                  Yingjun Guan and\n                  Bangzheng Li and\n                  Ruisong Li and\n                  Xiangchen Song and\n                  Yi R. Fung and\n                  Heng Ji and\n                  Jiawei Han and\n                  Shih{-}Fu Chang and\n                  James Pustejovsky and\n                  Jasmine Rah and\n                  David Liem and\n                  Ahmed Elsayed and\n                  Martha Palmer and\n                  Clare R. Voss and\n                  Cynthia Schneider and\n                  Boyan A. Onyshkevych},\n  editor       = {Avi Sil and\n                  Xi Victoria Lin},\n  title        = {{COVID-19} Literature Knowledge Graph Construction and Drug Repurposing\n                  Report Generation},\n  booktitle    = {Proceedings of the 2021 Conference of the North American Chapter of\n                  the Association for Computational Linguistics: Human Language Technologies:\n                  Demonstrations, {NAACL-HLT} 2021, Online, June 6-11, 2021},\n  pages        = {66--77},\n  publisher    = {Association for Computational Linguistics},\n  year         = {2021},\n  url          = {https://doi.org/10.18653/v1/2021.naacl-demos.8},\n  doi          = {10.18653/V1/2021.NAACL-DEMOS.8},\n  timestamp    = {Sun, 25 May 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/naacl/WangLWPHMTLZLCG21.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks.\n \n \n \n \n\n\n \n Jin, D.; Song, X.; Yu, Z.; Liu, Z.; Zhang, H.; Cheng, Z.; and Han, J.\n\n\n \n\n\n\n In Lewin-Eytan, L.; Carmel, D.; Yom-Tov, E.; Agichtein, E.; and Gabrilovich, E., editor(s), WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021, pages 157–165, 2021. ACM\n \n\n\n\n
\n\n\n\n \n \n \"BiTe-GCN:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{DBLP:conf/wsdm/JinSYLZC021,\n  author       = {Di Jin and\n                  Xiangchen Song and\n                  Zhizhi Yu and\n                  Ziyang Liu and\n                  Heling Zhang and\n                  Zhaomeng Cheng and\n                  Jiawei Han},\n  editor       = {Liane Lewin{-}Eytan and\n                  David Carmel and\n                  Elad Yom{-}Tov and\n                  Eugene Agichtein and\n                  Evgeniy Gabrilovich},\n  title        = {BiTe-GCN: {A} New {GCN} Architecture via Bidirectional Convolution\n                  of Topology and Features on Text-Rich Networks},\n  booktitle    = {{WSDM} '21, The Fourteenth {ACM} International Conference on Web Search\n                  and Data Mining, Virtual Event, Israel, March 8-12, 2021},\n  pages        = {157--165},\n  publisher    = {{ACM}},\n  year         = {2021},\n  url          = {https://doi.org/10.1145/3437963.3441774},\n  doi          = {10.1145/3437963.3441774},\n  timestamp    = {Wed, 29 Jan 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/conf/wsdm/JinSYLZC021.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Taxonomy Completion via Triplet Matching Network.\n \n \n \n \n\n\n \n Zhang, J.; Song, X.; Zeng, Y.; Chen, J.; Shen, J.; Mao, Y.; and Li, L.\n\n\n \n\n\n\n CoRR, abs/2101.01896. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"TaxonomyPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{DBLP:journals/corr/abs-2101-01896,\n  author       = {Jieyu Zhang and\n                  Xiangchen Song and\n                  Ying Zeng and\n                  Jiaze Chen and\n                  Jiaming Shen and\n                  Yuning Mao and\n                  Lei Li},\n  title        = {Taxonomy Completion via Triplet Matching Network},\n  journal      = {CoRR},\n  volume       = {abs/2101.01896},\n  year         = {2021},\n  url          = {https://arxiv.org/abs/2101.01896},\n  eprinttype    = {arXiv},\n  eprint       = {2101.01896},\n  timestamp    = {Tue, 01 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2101-01896.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion.\n \n \n \n \n\n\n \n Song, X.; Shen, J.; Zhang, J.; and Han, J.\n\n\n \n\n\n\n CoRR, abs/2104.03682. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"WhoPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{DBLP:journals/corr/abs-2104-03682,\n  author       = {Xiangchen Song and\n                  Jiaming Shen and\n                  Jieyu Zhang and\n                  Jiawei Han},\n  title        = {Who Should Go First? {A} Self-Supervised Concept Sorting Model for\n                  Improving Taxonomy Expansion},\n  journal      = {CoRR},\n  volume       = {abs/2104.03682},\n  year         = {2021},\n  url          = {https://arxiv.org/abs/2104.03682},\n  eprinttype    = {arXiv},\n  eprint       = {2104.03682},\n  timestamp    = {Wed, 02 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2104-03682.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation.\n \n \n \n \n\n\n \n Chen, Y.; Yang, Y.; Wang, Y.; Bai, J.; Song, X.; and King, I.\n\n\n \n\n\n\n CoRR, abs/2109.02046. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"AttentivePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2109-02046,\n  author       = {Yankai Chen and\n                  Yaming Yang and\n                  Yujing Wang and\n                  Jing Bai and\n                  Xiangchen Song and\n                  Irwin King},\n  title        = {Attentive Knowledge-aware Graph Convolutional Networks with Collaborative\n                  Guidance for Recommendation},\n  journal      = {CoRR},\n  volume       = {abs/2109.02046},\n  year         = {2021},\n  url          = {https://arxiv.org/abs/2109.02046},\n  eprinttype    = {arXiv},\n  eprint       = {2109.02046},\n  timestamp    = {Thu, 17 Mar 2022 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2109-02046.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Creating Training Sets via Weak Indirect Supervision.\n \n \n \n \n\n\n \n Zhang, J.; Wang, B.; Song, X.; Wang, Y.; Yang, Y.; Bai, J.; and Ratner, A.\n\n\n \n\n\n\n CoRR, abs/2110.03484. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"CreatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2110-03484,\n  author       = {Jieyu Zhang and\n                  Bohan Wang and\n                  Xiangchen Song and\n                  Yujing Wang and\n                  Yaming Yang and\n                  Jing Bai and\n                  Alexander Ratner},\n  title        = {Creating Training Sets via Weak Indirect Supervision},\n  journal      = {CoRR},\n  volume       = {abs/2110.03484},\n  year         = {2021},\n  url          = {https://arxiv.org/abs/2110.03484},\n  eprinttype    = {arXiv},\n  eprint       = {2110.03484},\n  timestamp    = {Tue, 01 Jul 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2110-03484.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation.\n \n \n \n \n\n\n \n Guo, J.; Yang, Y.; Song, X.; Zhang, Y.; Wang, Y.; Bai, J.; and Zhang, Y.\n\n\n \n\n\n\n CoRR, abs/2112.13197. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ModelingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2112-13197,\n  author       = {Jiayan Guo and\n                  Yaming Yang and\n                  Xiangchen Song and\n                  Yuan Zhang and\n                  Yujing Wang and\n                  Jing Bai and\n                  Yan Zhang},\n  title        = {Modeling Multi-granularity User Intent Evolving via Heterogeneous\n                  Graph Neural Networks for Session-based Recommendation},\n  journal      = {CoRR},\n  volume       = {abs/2112.13197},\n  year         = {2021},\n  url          = {https://arxiv.org/abs/2112.13197},\n  eprinttype    = {arXiv},\n  eprint       = {2112.13197},\n  timestamp    = {Fri, 07 Mar 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2112-13197.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n  \n 2020\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature.\n \n \n \n \n\n\n \n Wang, X.; Song, X.; Li, B.; Zhou, K.; Li, Q.; and Han, J.\n\n\n \n\n\n\n In Park, T.; Cho, Y.; Hu, X.; Yoo, I.; Woo, H. G.; Wang, J.; Facelli, J. C.; Nam, S.; and Kang, M., editor(s), IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020, pages 491–494, 2020. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Fine-GrainedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{DBLP:conf/bibm/WangSLZL020,\n  author       = {Xuan Wang and\n                  Xiangchen Song and\n                  Bangzheng Li and\n                  Kang Zhou and\n                  Qi Li and\n                  Jiawei Han},\n  editor       = {Taesung Park and\n                  Young{-}Rae Cho and\n                  Xiaohua Hu and\n                  Illhoi Yoo and\n                  Hyun Goo Woo and\n                  Jianxin Wang and\n                  Julio C. Facelli and\n                  Seungyoon Nam and\n                  Mingon Kang},\n  title        = {Fine-Grained Named Entity Recognition with Distant Supervision in\n                  {COVID-19} Literature},\n  booktitle    = {{IEEE} International Conference on Bioinformatics and Biomedicine,\n                  {BIBM} 2020, Virtual Event, South Korea, December 16-19, 2020},\n  pages        = {491--494},\n  publisher    = {{IEEE}},\n  year         = {2020},\n  url          = {https://doi.org/10.1109/BIBM49941.2020.9313126},\n  doi          = {10.1109/BIBM49941.2020.9313126},\n  timestamp    = {Tue, 22 Oct 2024 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/conf/bibm/WangSLZL020.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision.\n \n \n \n \n\n\n \n Wang, X.; Song, X.; Guan, Y.; Li, B.; and Han, J.\n\n\n \n\n\n\n CoRR, abs/2003.12218. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ComprehensivePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2003-12218,\n  author       = {Xuan Wang and\n                  Xiangchen Song and\n                  Yingjun Guan and\n                  Bangzheng Li and\n                  Jiawei Han},\n  title        = {Comprehensive Named Entity Recognition on {CORD-19} with Distant or\n                  Weak Supervision},\n  journal      = {CoRR},\n  volume       = {abs/2003.12218},\n  year         = {2020},\n  url          = {https://arxiv.org/abs/2003.12218},\n  eprinttype    = {arXiv},\n  eprint       = {2003.12218},\n  timestamp    = {Tue, 24 May 2022 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2003-12218.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.\n \n \n \n \n\n\n \n Wang, Q.; Li, M.; Wang, X.; Parulian, N. N.; Han, G.; Ma, J.; Tu, J.; Lin, Y.; Zhang, H.; Liu, W.; Chauhan, A.; Guan, Y.; Li, B.; Li, R.; Song, X.; Ji, H.; Han, J.; Chang, S.; Pustejovsky, J.; Rah, J.; Liem, D.; Elsayed, A.; Palmer, M.; Voss, C. R.; Schneider, C.; and Onyshkevych, B. A.\n\n\n \n\n\n\n CoRR, abs/2007.00576. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"COVID-19Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-2007-00576,\n  author       = {Qingyun Wang and\n                  Manling Li and\n                  Xuan Wang and\n                  Nikolaus Nova Parulian and\n                  Guangxing Han and\n                  Jiawei Ma and\n                  Jingxuan Tu and\n                  Ying Lin and\n                  Haoran Zhang and\n                  Weili Liu and\n                  Aabhas Chauhan and\n                  Yingjun Guan and\n                  Bangzheng Li and\n                  Ruisong Li and\n                  Xiangchen Song and\n                  Heng Ji and\n                  Jiawei Han and\n                  Shih{-}Fu Chang and\n                  James Pustejovsky and\n                  Jasmine Rah and\n                  David Liem and\n                  Ahmed Elsayed and\n                  Martha Palmer and\n                  Clare R. Voss and\n                  Cynthia Schneider and\n                  Boyan A. Onyshkevych},\n  title        = {{COVID-19} Literature Knowledge Graph Construction and Drug Repurposing\n                  Report Generation},\n  journal      = {CoRR},\n  volume       = {abs/2007.00576},\n  year         = {2020},\n  url          = {https://arxiv.org/abs/2007.00576},\n  eprinttype    = {arXiv},\n  eprint       = {2007.00576},\n  timestamp    = {Sun, 25 May 2025 01:00:00 +0200},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2007-00576.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n \n\n \n \n \n \n \n \n BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks.\n \n \n \n \n\n\n \n Jin, D.; Song, X.; Yu, Z.; Liu, Z.; Zhang, H.; Cheng, Z.; and Han, J.\n\n\n \n\n\n\n CoRR, abs/2010.12157. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"BiTe-GCN:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{DBLP:journals/corr/abs-2010-12157,\n  author       = {Di Jin and\n                  Xiangchen Song and\n                  Zhizhi Yu and\n                  Ziyang Liu and\n                  Heling Zhang and\n                  Zhaomeng Cheng and\n                  Jiawei Han},\n  title        = {BiTe-GCN: {A} New {GCN} Architecture via BidirectionalConvolution\n                  of Topology and Features on Text-Rich Networks},\n  journal      = {CoRR},\n  volume       = {abs/2010.12157},\n  year         = {2020},\n  url          = {https://arxiv.org/abs/2010.12157},\n  eprinttype    = {arXiv},\n  eprint       = {2010.12157},\n  timestamp    = {Wed, 29 Jan 2025 00:00:00 +0100},\n  biburl       = {https://dblp.org/rec/journals/corr/abs-2010-12157.bib},\n  bibsource    = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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