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Xiangchen Song
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2020 – today
- 2025
[c19]Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang:
On the Identification of Temporal Causal Representation with Instantaneous Dependence. ICLR 2025
[c18]Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang:
Reflection-Window Decoding: Text Generation with Selective Refinement. ICML 2025
[i30]Zeyu Tang, Zhenhao Chen, Loka Li, Xiangchen Song, Yunlong Deng, Yifan Shen
, Guangyi Chen
, Peter Spirtes, Kun Zhang:
Reflection-Window Decoding: Text Generation with Selective Refinement. CoRR abs/2502.03678 (2025)
[i29]Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang:
Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs. CoRR abs/2505.20254 (2025)
[i28]Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang:
LLM Interpretability with Identifiable Temporal-Instantaneous Representation. CoRR abs/2509.23323 (2025)
[i27]Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang:
Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models. CoRR abs/2510.01544 (2025)
[i26]Xinshuai Dong, Ignavier Ng, Haoyue Dai, Jiaqi Sun, Xiangchen Song, Peter Spirtes, Kun Zhang:
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models. CoRR abs/2510.04378 (2025)
[i25]Xiangchen Song, Yuchen Liu, Yaxuan Luan, Jinxu Guo, Xiaofan Guo:
Controllable Abstraction in Summary Generation for Large Language Models via Prompt Engineering. CoRR abs/2510.15436 (2025)
[i24]Xiaofan Guo, Yaxuan Luan, Yue Kang, Xiangchen Song, Jinxu Guo:
LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints. CoRR abs/2510.27054 (2025)
[i23]Xiangchen Song, Yulin Huang, Jinxu Guo, Yuchen Liu, Yaxuan Luan:
Multi-Scale Feature Fusion and Graph Neural Network Integration for Text Classification with Large Language Models. CoRR abs/2511.05752 (2025)
[i22]Yulin Huang, Yaxuan Luan, Jinxu Guo, Xiangchen Song, Yuchen Liu:
Parameter-Efficient Fine-Tuning with Differential Privacy for Robust Instruction Adaptation in Large Language Models. CoRR abs/2512.06711 (2025)
[i21]Lingjing Kong, Shaoan Xie, Guangyi Chen, Yuewen Sun, Xiangchen Song, Eric P. Xing, Kun Zhang:
Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality. CoRR abs/2512.10720 (2025)- 2024
[c17]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
[c16]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. ICML 2024
[c15]Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang:
Causal Temporal Representation Learning with Nonstationary Sparse Transition. NeurIPS 2024
[i20]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 abs/2401.14535 (2024)
[i19]Yewen Fan, Nian Si, Xiangchen Song, Kun Zhang:
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models. CoRR abs/2401.16692 (2024)
[i18]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 abs/2402.12767 (2024)
[i17]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 abs/2403.01015 (2024)
[i16]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 abs/2405.15325 (2024)
[i15]Xiangchen Song, Zijian Li, Guangyi Chen
, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang:
Causal Temporal Representation Learning with Nonstationary Sparse Transition. CoRR abs/2409.03142 (2024)- 2023
[c14]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: 6897-6905
[c13]Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang:
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. ICLR 2023
[c12]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: 1-5
[c11]Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang:
Temporally Disentangled Representation Learning under Unknown Nonstationarity. NeurIPS 2023
[i14]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 abs/2303.02320 (2023)
[i13]Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen
, Juan Carlos Niebles, Eric P. Xing, Kun Zhang:
Temporally Disentangled Representation Learning under Unknown Nonstationarity. CoRR abs/2310.18615 (2023)
[i12]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 abs/2312.11001 (2023)- 2022
[j1]Yayu Gao
, Shuangfeng Fang, Xiangchen Song, Lin Dai
:
When Aloha and CSMA Coexist: Modeling, Fairness, and Throughput Optimization. IEEE Trans. Wirel. Commun. 21(10): 8163-8178 (2022)
[c10]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). IEEE Big Data 2022: 4995-4996
[c9]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: 299-311
[c8]Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner:
Creating Training Sets via Weak Indirect Supervision. ICLR 2022
[c7]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: 343-352
[c6]Minhao Jiang
, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW 2022: 925-934
[i11]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR abs/2202.04887 (2022)
[i10]Guangyi Chen
, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang:
Prompt Learning with Optimal Transport for Vision-Language Models. CoRR abs/2210.01253 (2022)
[i9]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 abs/2211.00261 (2022)- 2021
[c5]Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. AAAI 2021: 4662-4670
[c4]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: 5227-5240
[c3]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:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 2021: 66-77
[c2]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: 157-165
[i8]Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. CoRR abs/2101.01896 (2021)
[i7]Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han:
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR abs/2104.03682 (2021)
[i6]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR abs/2109.02046 (2021)
[i5]Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner:
Creating Training Sets via Weak Indirect Supervision. CoRR abs/2110.03484 (2021)
[i4]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 abs/2112.13197 (2021)- 2020
[c1]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: 491-494
[i3]Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han:
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. CoRR abs/2003.12218 (2020)
[i2]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 abs/2007.00576 (2020)
[i1]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 abs/2010.12157 (2020)
Coauthor Index

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last updated on 2026-02-05 23:34 CET by the dblp team
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