Shichang Zhang

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	总计	2019 年至今
引用	421	421
h 指数	7	7
i10 指数	7	7

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Yizhou SunAssociate Professor, Computer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
Yozen LiuSnap Inc.在 snapchat.com 的电子邮件经过验证
Neil ShahResearch Scientist at Snap在 snap.com 的电子邮件经过验证
Ziniu HuPostdoc at California Institute of Technology & Researcher at Google在 caltech.edu 的电子邮件经过验证
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State University在 msu.edu 的电子邮件经过验证
Wei JinAssistant Professor, Emory University在 emory.edu 的电子邮件经过验证
Lingxiao ZhaoCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Arjun SubramonianUniversity of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
Yanqiao ZHUUniversity of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
Christos FaloutsosCMU在 cs.cmu.edu 的电子邮件经过验证
Xiang SongSenior Applied Scientist at Amazon AWS在 amazon.com 的电子邮件经过验证
Da ZhengAmazon在 amazon.com 的电子邮件经过验证
Jiani ZhangAmazon Web Services在 amazon.com 的电子邮件经过验证
Yewen WangUniversity of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
Zijie HuangComputer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
Atefeh SohrabizadehPh.D. of Computer Science, University of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
Cheng WanGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Jingsheng Jason CongVolgenau Chair for Engineering Excellence, Computer Science and Electrical Engineering, University在 cs.ucla.edu 的电子邮件经过验证

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Shichang Zhang

Computer Science, UCLA

在 cs.ucla.edu 的电子邮件经过验证 - 首页

Machine Learning Data Mining Explainable AI Graph Neural Networks


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	139	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	97	2021
Motif-driven contrastive learning of graph representations S Zhang, Z Hu, A Subramonian, Y Sun arXiv preprint arXiv:2012.12533, 2020	75	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, ... arXiv preprint arXiv:2307.10635, 2023	38	2023
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	29	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	21	2022
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	16	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	6	2023
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 arXiv preprint arXiv:2401.08627, 2023		2023

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