Shichang (Ray) Zhang

Publications

1. How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence
   Hongzhe Du*, Weikai Li*, Min Cai, Karim Saraipour, Zimin Zhang, Himabindu Lakkaraju, Yizhou Sun, Shichang Zhang (*equal contribution)
   COLM 2025 (NENLP Outstanding Paper) [PDF] [Code]
   

2. Automated Molecular Concept Generation and Labeling with Large Language Models
   Zimin Zhang*, Qianli Wu*, Botao Xia*, Fang Sun, Ziniu Hu, Yizhou Sun, Shichang Zhang (*equal contribution)
   COLING 2025 [PDF] [Code]
   

3. Weak Models Can be Good Teachers: A Case Study on Link Prediction with MLPs
   Zongyue Qin, Shichang Zhang, Mingxuan Ju, Tong Zhao, Neil Shah, Yizhou Sun
   LOG 2025
   

4. An Explainable AI Approach using Graph Learning to Predict ICU Length of Stay
   Tianjian Guo, Indranil Bardhan, Ying Ding, Shichang Zhang
   ISR Oct. 2024 [PDF]
   

5. FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion
   Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun
   ACL Findings 2024 [PDF] [Code]
   

6. Motif-driven Contrastive Learning of Graph Representations
   Shichang Zhang*, Ziniu Hu*, Arjun Subramonian, Yizhou Sun (*equal contribution)
   TKDE Feb. 2024 [PDF]
   

7. Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
   Haoyu Li*, Shichang Zhang*, Longwen Tang, Mathieu Bauchy, Yizhou Sun (*equal contribution)
   ICML 2024 [PDF] [Code]
   

8. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
   Xiaoxuan Wang*, Ziniu Hu*, Pan Lu*, Yanqiao Zhu*, Jieyu Zhang, Satyen Subramaniam, Arjun R Loomba, Shichang Zhang, Yizhou Sun, Wei Wang (*equal contribution)
   ICML 2024 [PDF] [Code]
   

9. Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks
   Yewen Wang, Shichang Zhang, Junghoo Cho, Yizhou Sun
   SDM 2024 [PDF]
   

10. Linkless Link Prediction via Relational Distillation
    Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh Chawla, Neil Shah, Tong Zhao
    ICML 2023 [PDF] [Code]
    

11. PaGE-Link: Graph Neural Network Explanation for Heterogeneous Link Prediction
    Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun
    WWW 2023 [PDF] [Code]
    

12. GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
    Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun
    NeurIPS 2022 [PDF] [Code]
    

13. Graph-less Neural Networks, Teach Old MLPs New Tricks via Distillation
    Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
    ICLR 2022 [PDF] [Code]
    

14. Graph Condensation for Graph Neural Networks
    Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
    ICLR 2022 [PDF] [Code]
    

Workshop Papers and Preprints

1. Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems
   Shichang Zhang, Hongzhe Du, Jiaqi W. Ma, Himabindu Lakkaraju
   Pre-print [PDF]
   

2. Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability
   Shichang Zhang, Tessa Han, Usha Bhalla, Himabindu Lakkaraju
   Pre-print [PDF]
   

3. Generalized Group Data Attribution
   Dan Ley, Shichang Zhang, Suraj Srinivas, Gili Rusak, Himabindu Lakkaraju
   Pre-print [PDF]
   

4. Computational Copyright: Towards A Royalty Model for Music Generative AI
   Junwei Deng, Xirui Jiang, Shiyuan Zhang, Shichang Zhang, Himabindu Lakkaraju, Ruijiang Gao, Chris Donahue, Jiaqi W. Ma
   Pre-print [PDF]
   

5. Hierarchical Compression of Text-Rich Graphs via Large Language Models
   Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
   Pre-print [PDF]
   

6. Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller
   Min Cai, Yuchen Zhang, Shichang Zhang, Fan Yin, Difan Zou, Yisong Yue, Ziniu Hu
   MI@ICML 2024 [PDF] [Code] [Website]
   

7. Efficient Ensembles Improve Training Data Attribution
   Junwei Deng*, Ting-Wei Li*, Shichang Zhang, Jiaqi Ma (*equal contribution)
   ATTRIB@NeurIPS 2024 [PDF] [Code]
   

8. Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
   Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
   Pre-print [PDF]
   

9. A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
   Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan (Celine) Lin, Jason Cong, Yizhou Sun
   Pre-print [PDF]