Xiangchen Song

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 35

Top Topics

Semantic Representations

Named Entity Recognition

Brain Connectivity

Top Venues

Publications

Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang
On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR (2024)
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. ICLR (2024)
Yewen Fan, Nian Si, Xiangchen Song, Kun Zhang
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models. CoRR (2024)
Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. CoRR (2024)
Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. CoRR (2024)
Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR (2024)
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. CoRR (2023)
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang
Temporally Disentangled Representation Learning under Unknown Nonstationarity. CoRR (2023)
Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. CoRR (2023)
Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. AAAI (2023)
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang
Temporally Disentangled Representation Learning under Unknown Nonstationarity. NeurIPS (2023)
Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. ICLR (2023)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI (2023)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). Big Data (2022)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR (2022)
Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR (2022)
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
Creating Training Sets via Weak Indirect Supervision. ICLR (2022)
Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE (2022)
Yayu Gao, Shuangfeng Fang, Xiangchen Song, Lin Dai
When Aloha and CSMA Coexist: Modeling, Fairness, and Throughput Optimization. IEEE Trans. Wirel. Commun. 21 (10) (2022)
Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
Prompt Learning with Optimal Transport for Vision-Language Models. CoRR (2022)
Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW (2022)
Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. WSDM (2022)
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
Taxonomy Completion via Triplet Matching Network. AAAI (2021)
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
Taxonomy Completion via Triplet Matching Network. CoRR (2021)
Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. CoRR (2021)
Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) (2021)
Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. EMNLP (1) (2021)
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
Creating Training Sets via Weak Indirect Supervision. CoRR (2021)
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM (2021)
Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR (2021)
Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR (2021)
Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. BIBM (2020)
Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. CoRR (2020)
Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR (2020)
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. CoRR (2020)