עקוב אחר
Shichang Zhang
Shichang Zhang
Harvard University
כתובת אימייל מאומתת בדומיין hbs.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
2292021
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
1782021
Motif-driven contrastive learning of graph representations‏
S Zhang, Z Hu, A Subramonian, Y Sun‏
arXiv preprint arXiv:2012.12533, 2020‏
150*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
1062023
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
632023
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
562022
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
352023
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
312023
Efficient ensembles improve training data attribution‏
J Deng, TW Li, S Zhang, J Ma‏
arXiv preprint arXiv:2405.17293, 2024‏
42024
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
22024
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion‏
F Xu, S Jiang, Z Huang, X Luo, S Zhang, Y Chen, Y Sun‏
Findings of the Association for Computational Linguistics ACL 2024, 2707-2720, 2024‏
12024
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
12024
Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller‏
M Cai, Y Zhang, S Zhang, F Yin, D Zhang, D Zou, Y Yue, Z Hu‏
arXiv preprint arXiv:2406.02721, 2024‏
12024
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
12023
Building Bridges, Not Walls--Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution‏
S Zhang, T Han, U Bhalla, H Lakkaraju‏
arXiv preprint arXiv:2501.18887, 2025‏
2025
Automated Molecular Concept Generation and Labeling with Large Language Models‏
Z Zhang, Q Wu, B Xia, F Sun, Z Hu, Y Sun, S Zhang‏
International Conference on Computational Linguistics (COLING 2025), 2025‏
2025
An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay‏
T Guo, IR Bardhan, Y Ding, S Zhang‏
Information Systems Research, 2024‏
2024
Generalized Group Data Attribution‏
D Ley, S Srinivas, S Zhang, G Rusak, H Lakkaraju‏
arXiv preprint arXiv:2410.09940, 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
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מאמרים 1–19