Shichang Zhang

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Yizhou SunProfessor, Computer Science, UCLAVerified email at cs.ucla.edu
Yozen LiuSnap Inc.Verified email at snapchat.com
Neil ShahResearch Scientist at SnapVerified email at snap.com
Ziniu HuxAIVerified email at caltech.edu
Arjun SubramonianUniversity of California, Los AngelesVerified email at cs.ucla.edu
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
Wei JinAssistant Professor, Emory UniversityVerified email at emory.edu
Lingxiao ZhaoCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Da ZhengAmazonVerified email at amazon.com
Yanqiao ZHUUniversity of California, Los AngelesVerified email at cs.ucla.edu
Christos FaloutsosCMUVerified email at cs.cmu.edu
Xiang SongSenior Applied Scientist at Amazon AWSVerified email at amazon.com
Jiani ZhangAmazon Web ServicesVerified email at amazon.com
Yewen WangAmazonVerified email at cs.ucla.edu
Zhichun GuoUniversity of WashingtonVerified email at uw.edu
Tong ZhaoResearch Scientist at SnapVerified email at snap.com
Zijie HuangComputer Science, UCLAVerified email at cs.ucla.edu
Atefeh SohrabizadehResearch Scientist @ NVIDIA | UCLA Ph.D.Verified email at cs.ucla.edu
Cheng WanGeorgia Institute of TechnologyVerified email at gatech.edu
Jingsheng Jason CongVolgenau Chair for Engineering Excellence, Computer Science and Electrical Engineering, UniversityVerified email at cs.ucla.edu

Shichang Zhang

Harvard University

Verified email at hbs.edu - Homepage

Explainable AI Data Attribution Machine Learning Data Mining


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Graph-less neural networks: Teaching old mlps new tricks via distillation S Zhang, Y Liu, Y Sun, N Shah International Conference on Learning Representations (ICLR 2022), 2021	178	2021
Graph condensation for graph neural networks W Jin, L Zhao, S Zhang, Y Liu, J Tang, N Shah International Conference on Learning Representations (ICLR 2022）, 2021	134	2021
Motif-driven contrastive learning of graph representations S Zhang, Z Hu, A Subramonian, Y Sun arXiv preprint arXiv:2012.12533, 2020	131*	2020
Scibench: Evaluating college-level scientific problem-solving abilities of large language models X Wang, Z Hu, P Lu, Y Zhu, J Zhang, S Subramaniam, AR Loomba, ... International Conference on Machine Learning (ICML 2024), 2023	63	2023
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games S Zhang, Y Liu, N Shah, Y Sun Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022	40	2022
Linkless link prediction via relational distillation Z Guo, W Shiao, S Zhang, Y Liu, NV Chawla, N Shah, T Zhao International Conference on Machine Learning, 12012-12033, 2023	36	2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction S Zhang, J Zhang, X Song, S Adeshina, D Zheng, C Faloutsos, Y Sun Proceedings of the ACM Web Conference 2023, 2023	24	2023
A survey on graph neural network acceleration: Algorithms, systems, and customized hardware S Zhang, A Sohrabizadeh, C Wan, Z Huang, Z Hu, Y Wang, J Cong, ... arXiv preprint arXiv:2306.14052, 2023	21	2023
Hierarchical Compression of Text-Rich Graphs via Large Language Models S Zhang, D Zheng, J Zhang, Q Zhu, S Adeshina, C Faloutsos, G Karypis, ... arXiv preprint arXiv:2406.11884, 2024		2024
Automated Molecular Concept Generation and Labeling with Large Language Models S Zhang, B Xia, Z Zhang, Q Wu, F Sun, Z Hu, Y Sun arXiv preprint arXiv:2406.09612, 2024		2024
Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller M Cai, Y Zhang, S Zhang, F Yin, D Zou, Y Yue, Z Hu arXiv preprint arXiv:2406.02721, 2024		2024
Efficient Ensembles Improve Training Data Attribution J Deng, TW Li, S Zhang, J Ma arXiv preprint arXiv:2405.17293, 2024		2024
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning Q Zhu, D Zheng, X Song, S Zhang, B Jin, Y Sun, G Karypis arXiv preprint arXiv:2404.18271, 2024		2024
Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks Y Wang, S Zhang, J Cho, Y Sun Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024		2024
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks H Li, S Zhang, L Tang, M Bauchy, Y Sun International Conference on Machine Learning (ICML 2024), 2023		2023

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