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2020 – today
- 2024
[c14]Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun:
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. ACL (Findings) 2024: 2707-2720- [c13]Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun:
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. ICML 2024 - [c12]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML 2024 - [c11]Yewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun:
Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks. SDM 2024: 19-27 - [i14]Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun:
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. CoRR abs/2401.08627 (2024) - [i13]Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis:
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR abs/2404.18271 (2024) - [i12]Junwei Deng, Ting-Wei Li, Shichang Zhang, Jiaqi Ma:
Efficient Ensembles Improve Training Data Attribution. CoRR abs/2405.17293 (2024) - [i11]Min Cai, Yuchen Zhang, Shichang Zhang, Fan Yin, Difan Zou, Yisong Yue, Ziniu Hu:
Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller. CoRR abs/2406.02721 (2024) - [i10]Shichang Zhang, Botao Xia, Zimin Zhang, Qianli Wu, Fang Sun, Ziniu Hu, Yizhou Sun:
Automated Molecular Concept Generation and Labeling with Large Language Models. CoRR abs/2406.09612 (2024) - [i9]Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun:
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR abs/2406.11884 (2024) - 2023
- [c10]Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao:
Linkless Link Prediction via Relational Distillation. ICML 2023: 12012-12033 - [c9]Shichang Zhang
, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW 2023: 3784-3793 - [i8]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR abs/2302.12465 (2023) - [i7]Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun:
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR abs/2306.14052 (2023) - [i6]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR abs/2307.10635 (2023) - 2022
- [c8]Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah:
Graph Condensation for Graph Neural Networks. ICLR 2022 - [c7]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR 2022 - [c6]Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun:
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. NeurIPS 2022 - [i5]Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun:
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR abs/2201.12380 (2022) - [i4]Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao:
Linkless Link Prediction via Relational Distillation. CoRR abs/2210.05801 (2022) - 2021
- [c5]Shichang Zhang:
Research on Recommendation Algorithm Based on Collaborative Filtering. ICAIIS 2021: 192:1-192:4 - [i3]Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah:
Graph Condensation for Graph Neural Networks. CoRR abs/2110.07580 (2021) - [i2]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation. CoRR abs/2110.08727 (2021) - 2020
- [j4]Xin Gu, Yong Yang, Shichang Zhang:
Prediction of Chronic Diseases in Elderly Based on Boltzmann Machine. J. Medical Imaging Health Informatics 10(1): 71-75 (2020) - [j3]Yong Yang, Xin Gu, Shichang Zhang:
Multimedia based risk forecasting model for frequent natural disasters. Multim. Tools Appl. 79(47): 35463-35474 (2020) - [i1]Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun:
Motif-Driven Contrastive Learning of Graph Representations. CoRR abs/2012.12533 (2020)
2010 – 2019
- 2019
- [j2]Jie Jiang, Hui Xu, Shichang Zhang, Yujie Fang, Lai Kang:
FSNet: A Target Detection Algorithm Based on a Fusion Shared Network. IEEE Access 7: 169417-169425 (2019) - [j1]Shichang Zhang, Ying Wang, Xiaoming Chen, Yinhe Han, Yujie Wang, Xiaowei Li:
Thread: Towards fine-grained precision reconfiguration in variable-precision neural network accelerator. IEICE Electron. Express 16(14): 20190145 (2019) - 2018
- [c4]Zhendong Zhang, Zhihao Zhou, Enhao Zheng, Yalei Zhou, Shichang Zhang, Jingeng Mai, Qining Wang:
Concept and Prototype Design of an Underwater Soft Exoskeleton. CBS 2018: 139-143 - [c3]Jingeng Mai, Wanwen Chen, Shichang Zhang, Dongfang Xu, Qining Wang:
Performance analysis of hardware acceleration for locomotion mode recognition in robotic prosthetic control. CBS 2018: 607-611 - [c2]Jingeng Mai, Dongfang Xu, Haolin Li, Shichang Zhang, Jiaying Tan, Qining Wang:
Implementing a SoC-FPGA Based Acceleration System for On-Board SVM Training for Robotic Transtibial Prostheses. RCAR 2018: 150-155
2000 – 2009
- 2009
- [c1]Xueyong Ding, Shichang Zhang:
Characters of Frequency Response in a Coaxial Bragg Structure with Tapered Ripples. IITSI 2009: 153-157
Coauthor Index
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last updated on 2024-09-26 01:55 CEST by the dblp team
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