Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. - Xuan Wang 008; Xiangchen Song; Bangzheng Li; Kang Zhou 002; Qi Li 012; Jiawei Han 001 (BIBM, 2020)

Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. - Xuan Wang 008; Xiangchen Song; Yingjun Guan; Bangzheng Li; Jiawei Han 001 (CoRR, 2020)

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. - Qingyun Wang 005; Manling Li; Xuan Wang 008; Nikolaus Nova Parulian; Guangxing Han; Jiawei Ma; Jingxuan Tu; Ying Lin; Haoran Zhang 004; Weili Liu; Aabhas Chauhan; Yingjun Guan; et al. (CoRR, 2020)

BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. - Di Jin 001; Xiangchen Song; Zhizhi Yu; Ziyang Liu 004; Heling Zhang; Zhaomeng Cheng; Jiawei Han 001 (CoRR, 2020)

Taxonomy Completion via Triplet Matching Network. - Jieyu Zhang 001; Xiangchen Song; Ying Zeng; Jiaze Chen; Jiaming Shen; Yuning Mao; Lei Li 005 (AAAI, 2021)

ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. - Xuan Wang 008; Vivian Hu; Xiangchen Song; Shweta Garg 004; Jinfeng Xiao; Jiawei Han 001 (EMNLP (1), 2021)

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. - Qingyun Wang 005; Manling Li; Xuan Wang 008; Nikolaus Nova Parulian; Guangxing Han; Jiawei Ma; Jingxuan Tu; Ying Lin; Haoran Zhang 004; Weili Liu; Aabhas Chauhan; Yingjun Guan; et al. (NAACL-HLT (Demonstrations), 2021)

BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. - Di Jin 001; Xiangchen Song; Zhizhi Yu; Ziyang Liu 004; Heling Zhang; Zhaomeng Cheng; Jiawei Han 001 (WSDM, 2021)

Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. - Xiangchen Song; Jiaming Shen; Jieyu Zhang 001; Jiawei Han 001 (CoRR, 2021)

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. - Yankai Chen 001; Yaming Yang 001; Yujing Wang; Jing Bai 010; Xiangchen Song; Irwin King (CoRR, 2021)

Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. - Jiayan Guo; Yaming Yang 001; Xiangchen Song; Yuan Zhang 024; Yujing Wang; Jing Bai 010; Yan Zhang 004 (CoRR, 2021)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (IEEE Big Data, 2022)

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. - Yankai Chen 001; Yaming Yang 001; Yujing Wang; Jing Bai 010; Xiangchen Song; Irwin King (ICDE, 2022)

Creating Training Sets via Weak Indirect Supervision. - Jieyu Zhang 001; Bohan Wang; Xiangchen Song; Yujing Wang; Yaming Yang 001; Jing Bai 010; Alexander Ratner (ICLR, 2022)

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. - Jiayan Guo; Yaming Yang 001; Xiangchen Song; Yuan Zhang 024; Yujing Wang; Jing Bai 010; Yan Zhang 004 (WSDM, 2022)

TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. - Minhao Jiang; Xiangchen Song; Jieyu Zhang 001; Jiawei Han 001 (WWW, 2022)

Prompt Learning with Optimal Transport for Vision-Language Models. - Guangyi Chen 002; Weiran Yao; Xiangchen Song; Xinyue Li; Yongming Rao; Kun Zhang 001 (CoRR, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (CoRR, 2022)

When Aloha and CSMA Coexist: Modeling, Fairness, and Throughput Optimization. - Yayu Gao; Shuangfeng Fang; Xiangchen Song; Lin Dai 001 (IEEE Trans. Wirel. Commun., 2022)

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. - Defu Cao; James Enouen; Yujing Wang; Xiangchen Song; Chuizheng Meng; Hao Niu 001; Yan Liu 002 (AAAI, 2023)

PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. - Guangyi Chen 002; Weiran Yao; Xiangchen Song; Xinyue Li; Yongming Rao; Kun Zhang 001 (ICLR, 2023)

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (ISBI, 2023)

Temporally Disentangled Representation Learning under Unknown Nonstationarity. - Xiangchen Song; Weiran Yao; Yewen Fan; Xinshuai Dong; Guangyi Chen 002; Juan Carlos Niebles; Eric P. Xing; Kun Zhang 001 (NeurIPS, 2023)

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. - Xinshuai Dong; Biwei Huang; Ignavier Ng; Xiangchen Song; Yujia Zheng 001; Songyao Jin; Roberto Legaspi; Peter Spirtes; Kun Zhang 001 (ICLR, 2024)

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. - Guangyi Chen 002; Yifan Shen 004; Zhenhao Chen; Xiangchen Song; Yuewen Sun; Weiran Yao; Xiao Liu; Kun Zhang 001 (ICML, 2024)

Causal Temporal Representation Learning with Nonstationary Sparse Transition. - Xiangchen Song; Zijian Li 001; Guangyi Chen 002; Yujia Zheng 001; Yewen Fan; Xinshuai Dong; Kun Zhang 001 (NeurIPS, 2024)

Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models. - Yewen Fan; Nian Si; Xiangchen Song; Kun Zhang 001 (CoRR, 2024)

When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. - Zijian Li 001; Ruichu Cai; Zhenhui Yang; Haiqin Huang; Guangyi Chen 002; Yifan Shen 004; Zhengming Chen; Xiangchen Song; Zhifeng Hao; Kun Zhang 001 (CoRR, 2024)

A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. - Charvi Rastogi; Xiangchen Song; Zhijing Jin 001; Ivan Stelmakh; Hal Daumé III; Kun Zhang 001; Nihar B. Shah (CoRR, 2024)

On the Identification of Temporally Causal Representation with Instantaneous Dependence. - Zijian Li 001; Yifan Shen 004; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; Zhifeng Hao; Zhengmao Zhu; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2024)

On the Identification of Temporal Causal Representation with Instantaneous Dependence. - Zijian Li 001; Yifan Shen 004; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; Guangyi Chen 002; Kun Zhang 001 (ICLR, 2025)

Reflection-Window Decoding: Text Generation with Selective Refinement. - Zeyu Tang 002; Zhenhao Chen; Loka Li; Xiangchen Song; Yunlong Deng; Yifan Shen 004; Guangyi Chen 002; Peter Spirtes; Kun Zhang 001 (CoRR, 2025)

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs. - Xiangchen Song; Aashiq Muhamed; Yujia Zheng 001; Lingjing Kong; Zeyu Tang 002; Mona T. Diab; Virginia Smith; Kun Zhang 001 (CoRR, 2025)