Zhang, Zeyu

33 publications

TMLR 2026 ToMoE: Converting Dense Large Language Models to Mixture-of-Experts Through Dynamic Structural Pruning Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu

NeurIPS 2025 CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang

NeurIPS 2025 Distributional LLM-as-a-Judge Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Hao Yang, Zhenhua Dong, Xu Chen

ICCV 2025 Effective Training Data Synthesis for Improving MLLM Chart Understanding Yuwei Yang, Zeyu Zhang, Yunzhong Hou, Zhuowan Li, Gaowen Liu, Ali Payani, Yuan-Sen Ting, Liang Zheng

ICLR 2025 Efficient Learning with Sine-Activated Low-Rank Matrices Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey

NeurIPS 2025 FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion Akide Liu, Zeyu Zhang, Zhexin Li, Xuehai Bai, Yuanjie Xing, Yizeng Han, Jiasheng Tang, Jichao Wu, Mingyang Yang, Weihua Chen, Jiahao He, Yuanyu He, Fan Wang, Gholamreza Haffari, Bohan Zhuang

NeurIPS 2025 FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation Zeyu Zhang, Yiran Wang, Danning Li, Dong Gong, Ian Reid, Richard Hartley

NeurIPS 2025 MemSim: A Bayesian Simulator for Evaluating Memory of LLM-Based Personal Assistants Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen

CVPR 2025 OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Zeyu Zhang, Yue Huang, Kun Zhang

NeurIPS 2025 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation Mengkang Hu, Yuhang Zhou, Wendong Fan, Yuzhou Nie, Ziyu Ye, Bowei Xia, Tao Sun, Zhaoxuan Jin, Yingru Li, Zeyu Zhang, Yifeng Wang, Qianshuo Ye, Bernard Ghanem, Ping Luo, Guohao Li

AAAI 2025 Self-Explainable Graph Transformer for Link Sign Prediction Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang, Zeyu Zhang

NeurIPS 2025 TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning Hongyang He, Xinyuan Song, Yangfan He, Zeyu Zhang, Yanshu Li, Haochen You, Lifan Sun, Wenqiao Zhang

ICCV 2025 VehicleMAE: View-Asymmetry Mutual Learning for Vehicle Re-Identification Pre-Training via Masked AutoEncoders Qi Wang, Zeyu Zhang, Dong Wang, Di Gai, Xin Xiong, Jiyang Xu, Ruihua Zhou

NeurIPS 2025 ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS Weijie Wang, Donny Y. Chen, Zeyu Zhang, Duochao Shi, Akide Liu, Bohan Zhuang

CVPR 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang

CVPR 2024 Device-Wise Federated Network Pruning Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang

NeurIPS 2024 DropEdge Not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li

AAAI 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu

IJCAI 2024 Exploring the Role of Node Diversity in Directed Graph Representation Learning Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu

ICML 2024 Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen

ICMLW 2024 LLM3: Large Language Model-Based Task and Motion Planning with Motion Failure Reasoning Shu Wang, Muzhi Han, Ziyuan Jiao, Zeyu Zhang, Ying Nian Wu, Song-Chun Zhu, Hangxin Liu

ECCV 2024 Motion Mamba: Efficient and Long Sequence Motion Generation Zeyu Zhang, Akide Liu, Ian Reid, Richard Hartley, Bohan Zhuang, Hao Tang

IJCAI 2024 Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation Zeyu Zhang, Chun Shen, Shuai Lü, Shaojie Zhang

NeurIPS 2024 Reflective Multi-Agent Collaboration Based on Large Language Models Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen

AAAI 2024 Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors Shaojie Zhang, Chun Shen, Shuai Lü, Zeyu Zhang

ICMLW 2024 SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao

NeurIPS 2023 Bayesian Active Causal Discovery with Multi-Fidelity Experiments Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie

NeurIPS 2023 SG×P : A Sorghum Genotype × Phenotype Prediction Dataset and Benchmark Zeyu Zhang, Robert Pless, Nadia Shakoor, Austin Carnahan, Abby Stylianou

ICCV 2023 Structural Alignment for Network Pruning Through Partial Regularization Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang

AAAI 2023 USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu

NeurIPS 2023 Unified Off-Policy Learning to Rank: A Reinforcement Learning Perspective Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang

ICCV 2023 X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu

WACV 2020 2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets Xiaotong Liu, Zeyu Zhang, Hong Xuan, Roxana Leontie, Abby Stylianou, Robert Pless