Xiangchen Song

50 papers A* 12A 2B 1Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality. CoRR Lingjing Kong, Shaoan Xie, Guangyi Chen, Yuewen Sun, Xiangchen Song, Eric P. Xing, Kun Zhang
2025	J	`jnl`	Controllable Abstraction in Summary Generation for Large Language Models via Prompt Engineering. CoRR Xiangchen Song, Yuchen Liu, Yaxuan Luan, Jinxu Guo, Xiaofan Guo
2025	J	`jnl`	LLM Interpretability with Identifiable Temporal-Instantaneous Representation. CoRR Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang
2025	J	`jnl`	LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints. CoRR Xiaofan Guo, Yaxuan Luan, Yue Kang, Xiangchen Song, Jinxu Guo
2025	J	`jnl`	Multi-Scale Feature Fusion and Graph Neural Network Integration for Text Classification with Large Language Models. CoRR Xiangchen Song, Yulin Huang, Jinxu Guo, Yuchen Liu, Yaxuan Luan
2025	A*	`conf`	On the Identification of Temporal Causal Representation with Instantaneous Dependence. ICLR Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Parameter-Efficient Fine-Tuning with Differential Privacy for Robust Instruction Adaptation in Large Language Models. CoRR Yulin Huang, Yaxuan Luan, Jinxu Guo, Xiangchen Song, Yuchen Liu
2025	J	`jnl`	Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs. CoRR Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang
2025	A*	`conf`	Reflection-Window Decoding: Text Generation with Selective Refinement. ICML Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Reflection-Window Decoding: Text Generation with Selective Refinement. CoRR Zeyu Tang, Zhenhao Chen, Loka Li, Xiangchen Song, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models. CoRR Xinshuai Dong, Ignavier Ng, Haoyue Dai, Jiaqi Sun, Xiangchen Song, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models. CoRR Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang
2024	J	`jnl`	A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. CoRR Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah
2024	A*	`conf`	A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. ICLR Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024	A*	`conf`	CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. ICML Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
2024	J	`jnl`	CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. CoRR Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
2024	J	`jnl`	Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models. CoRR Yewen Fan, Nian Si, Xiangchen Song, Kun Zhang
2024	A*	`conf`	Causal Temporal Representation Learning with Nonstationary Sparse Transition. NeurIPS Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024	J	`jnl`	Causal Temporal Representation Learning with Nonstationary Sparse Transition. CoRR Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024	J	`jnl`	On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang
2024	J	`jnl`	When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. CoRR Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2023	—	`conf`	Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2023	A*	`conf`	Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. AAAI Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
2023	J	`jnl`	Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. CoRR Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
2023	A*	`conf`	PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. ICLR Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
2023	A*	`conf`	Temporally Disentangled Representation Learning under Unknown Nonstationarity. NeurIPS Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang
2023	J	`jnl`	Temporally Disentangled Representation Learning under Unknown Nonstationarity. CoRR Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang
2022	A*	`conf`	Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
2022	A*	`conf`	Creating Training Sets via Weak Indirect Supervision. ICLR Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
2022	A	`conf`	Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. WSDM Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
2022	B	`conf`	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022	J	`jnl`	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022	J	`jnl`	Prompt Learning with Optimal Transport for Vision-Language Models. CoRR Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
2022	A*	`conf`	TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han
2022	J	`jnl`	TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han
2022	J	`jnl`	When Aloha and CSMA Coexist: Modeling, Fairness, and Throughput Optimization. IEEE Trans. Wirel. Commun. Yayu Gao, Shuangfeng Fang, Xiangchen Song, Lin Dai
2021	J	`jnl`	Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
2021	A	`conf`	BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2021	—	`conf`	COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 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 R. 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
2021	—	`conf`	ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. EMNLP (1) Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han
2021	J	`jnl`	Creating Training Sets via Weak Indirect Supervision. CoRR Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
2021	J	`jnl`	Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. CoRR Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
2021	A*	`conf`	Taxonomy Completion via Triplet Matching Network. AAAI Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
2021	J	`jnl`	Taxonomy Completion via Triplet Matching Network. CoRR Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
2021	J	`jnl`	Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han
2020	J	`jnl`	BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. CoRR Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2020	J	`jnl`	COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR 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
2020	J	`jnl`	Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. CoRR Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han
2020	—	`conf`	Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. BIBM Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han