Characters of Frequency Response in a Coaxial Bragg Structure with Tapered Ripples. - Xueyong Ding; Shichang Zhang (IITSI, 2009)

Performance analysis of hardware acceleration for locomotion mode recognition in robotic prosthetic control. - Jingeng Mai; Wanwen Chen; Shichang Zhang; Dongfang Xu; Qining Wang (CBS, 2018)

Concept and Prototype Design of an Underwater Soft Exoskeleton. - Zhendong Zhang; Zhihao Zhou; Enhao Zheng; Yalei Zhou; Shichang Zhang; Jingeng Mai; Qining Wang (CBS, 2018)

Implementing a SoC-FPGA Based Acceleration System for On-Board SVM Training for Robotic Transtibial Prostheses. - Jingeng Mai; Dongfang Xu; Haolin Li; Shichang Zhang; Jiaying Tan; Qining Wang (RCAR, 2018)

FSNet: A Target Detection Algorithm Based on a Fusion Shared Network. - Jie Jiang 017; Hui Xu; Shichang Zhang; Yujie Fang; Lai Kang (IEEE Access, 2019)

Thread: Towards fine-grained precision reconfiguration in variable-precision neural network accelerator. - Shichang Zhang; Ying Wang 001; Xiaoming Chen 003; Yinhe Han 001; Yujie Wang; Xiaowei Li 001 (IEICE Electron. Express, 2019)

Prediction of Chronic Diseases in Elderly Based on Boltzmann Machine. - Xin Gu; Yong Yang; Shichang Zhang (J. Medical Imaging Health Informatics, 2020)

Multimedia based risk forecasting model for frequent natural disasters. - Yong Yang; Xin Gu; Shichang Zhang (Multim. Tools Appl., 2020)

Research on Recommendation Algorithm Based on Collaborative Filtering. - Shichang Zhang (ICAIIS, 2021)

Graph Condensation for Graph Neural Networks. - Wei Jin 009; Lingxiao Zhao; Shichang Zhang; Yozen Liu; Jiliang Tang; Neil Shah (ICLR, 2022)

Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. - Shichang Zhang; Yozen Liu; Yizhou Sun; Neil Shah (ICLR, 2022)

GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. - Shichang Zhang; Yozen Liu; Neil Shah; Yizhou Sun (NeurIPS, 2022)

Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. - Shichang Zhang; Neil Shah; Yozen Liu; Yizhou Sun (CoRR, 2022)

Linkless Link Prediction via Relational Distillation. - Zhichun Guo; William Shiao; Shichang Zhang; Yozen Liu; Nitesh V. Chawla; Neil Shah; Tong Zhao 003 (ICML, 2023)

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. - Shichang Zhang; Jiani Zhang 003; Xiang Song 003; Soji Adeshina; Da Zheng; Christos Faloutsos; Yizhou Sun (WWW, 2023)

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. - Shichang Zhang; Atefeh Sohrabizadeh; Cheng Wan 005; Zijie Huang 002; Ziniu Hu; Yewen Wang; Yingyan Lin; Jason Cong; Yizhou Sun (CoRR, 2023)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Yuanzhou Chen; Yizhou Sun (ACL (Findings), 2024)

Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. - Haoyu Li; Shichang Zhang; Longwen Tang; Mathieu Bauchy; Yizhou Sun (ICML, 2024)

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. - Xiaoxuan Wang; Ziniu Hu; Pan Lu; Yanqiao Zhu 001; Jieyu Zhang 001; Satyen Subramaniam; Arjun R. Loomba; Shichang Zhang; Yizhou Sun; Wei Wang 010 (ICML, 2024)

Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks. - Yewen Wang; Shichang Zhang; John (Junghoo) Cho; Yizhou Sun (SDM, 2024)

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. - Qi Zhu 008; Da Zheng; Xiang Song 003; Shichang Zhang; Bowen Jin; Yizhou Sun; George Karypis (CoRR, 2024)

Efficient Ensembles Improve Training Data Attribution. - Junwei Deng; Ting-Wei Li; Shichang Zhang; Jiaqi Ma 001 (CoRR, 2024)

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 (CoRR, 2024)

Hierarchical Compression of Text-Rich Graphs via Large Language Models. - Shichang Zhang; Da Zheng; Jiani Zhang 003; Qi Zhu 008; Xiang Song 003; Soji Adeshina; Christos Faloutsos; George Karypis; Yizhou Sun (CoRR, 2024)

Generalized Group Data Attribution. - Dan Ley; Suraj Srinivas; Shichang Zhang; Gili Rusak; Himabindu Lakkaraju (CoRR, 2024)

Motif-Driven Contrastive Learning of Graph Representations. - Shichang Zhang; Ziniu Hu; Arjun Subramonian; Yizhou Sun (IEEE Trans. Knowl. Data Eng., 2024)

Automated Molecular Concept Generation and Labeling with Large Language Models. - Zimin Zhang; Qianli Wu; Botao Xia; Fang Sun; Ziniu Hu; Yizhou Sun; Shichang Zhang (COLING, 2025)

Building Bridges, Not Walls - Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution. - Shichang Zhang; Tessa Han; Usha Bhalla; Hima Lakkaraju (CoRR, 2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges. - Junyu Luo 002; Weizhi Zhang; Ye Yuan; Yusheng Zhao; Junwei Yang; Yiyang Gu; Bohan Wu; Binqi Chen; Ziyue Qiao; Qingqing Long; Rongcheng Tu; Xiao Luo 001; et al. (CoRR, 2025)

How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence. - Hongzhe Du; Weikai Li 002; Min Cai; Karim Saraipour; Zimin Zhang; Himabindu Lakkaraju; Yizhou Sun; Shichang Zhang (CoRR, 2025)

Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction. - Zongyue Qin; Shichang Zhang; Mingxuan Ju; Tong Zhao 003; Neil Shah; Yizhou Sun (CoRR, 2025)

Accountability Attribution: Tracing Model Behavior to Training Processes. - Shichang Zhang; Hongzhe Du; Karim Saraipour; Jiaqi W. Ma; Himabindu Lakkaraju (CoRR, 2025)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Adrian Chen; Yizhou Sun (CoRR, 2025)

Retention analysis of edited knowledge after fine-tuning. - Fufang Wen; Shichang Zhang (CoRR, 2025)