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Author

Xiangchen Song

Observed name: Song, Xiangchen
OpenAlex ID: A5088884102
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
2021 · Qingyun Wang, Manling Li, et al. · 121
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Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation
2022 · Yankai Chen, Yaming Yang, et al. · IEEE International Conference on Data Engineering (ICDE) · 91
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Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
2022 · Jiayan Guo, Yaming Yang, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 88
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PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
2022 · Chen, Guangyi, Yao, Weiran, et al. · arXiv (Cornell University) · 42
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Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision
2020 · Wang, Xuan, Song, Xiangchen, et al. · arXiv (Cornell University) · 36
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Taxonomy Completion via Triplet Matching Network
2021 · Jieyu Zhang, Xiangchen Song, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 35
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TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations
2022 · Minhao Jiang, Xiangchen Song, et al. · International World Wide Web Conference (WWW) · 31
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ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision
2021 · Xuan Wang, Vivian Hu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 31
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BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks
2021 · Di Jin, Xiangchen Song, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 18
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Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
2023 · Defu Cao, James Enouen, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 12
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Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract)
2022 · Yue Yu, Xuan Kan, et al. · IEEE International Conference on Big Data (BigData) · 11
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature
2020 · Xuan Wang, Xiangchen Song, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 10
When Aloha and CSMA Coexist: Modeling, Fairness, and Throughput Optimization
2022 · Yayu Gao, Shuangfeng Fang, et al. · IEEE Transactions on Wireless Communications · 9
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Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks
2022 · Yu, Yue, Kan, Xuan, et al. · arXiv (Cornell University) · 7
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Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis
2023 · Yue Yu, Xuan Kan, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 6
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Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
2021 · Song, Xiangchen, Shen, Jiaming, et al. · arXiv (Cornell University) · 5
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Creating Training Sets via Weak Indirect Supervision
2021 · Zhang, Jieyu, Wang, Bohan, et al. · arXiv (Cornell University) · 3
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A randomized controlled trial on anonymizing reviewers to each other in peer review discussions
2024 · Charvi Rastogi, Xiangchen Song, et al. · PLoS ONE · 2
Comprehensive named entity recognition on CORD-19 with distant or weak supervision
2020 · Xuan Wang, Xiangchen Song, et al. · 2
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
2024 · Li, Zijian, Cai, Ruichu, et al. · arXiv (Cornell University) · 1
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A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
2023 · Dong, Xinshuai, Huang, Biwei, et al. · arXiv (Cornell University) · 1
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Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
2026 · Shaoan Xie, Lingjing Kong, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality
2026 · Lingjing Kong, Shaoan Xie, et al. · Lecture notes in computer science
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Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models
2025 · Dong, Xinshuai, Ng, Ignavier, et al. · arXiv (Cornell University)
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Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs
2025 · Song, Xiangchen, Muhamed, Aashiq, et al. · arXiv (Cornell University)
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Works count: 34
Citation count: 562
H-index: 11
I10-index: 12
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