| 2026 | AAAI | Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training. | Weilin Wan, Fan Yi, Weizhong Zhang, Quan Zhou, Cheng Jin |
| 2026 | AAAI | Investigating Data Pruning for Pretraining Biological Foundation Models at Scale. | Yifan Wu, Jiyue Jiang, Xichen Ye, Yiqi Wang, Chang Zhou, Yitao Xu, Jiayang Chen, He Hu, Weizhong Zhang, Cheng Jin, Jiao Yuan, Yu Li |
| 2026 | AAAI | Advanced Black-Box Tuning of Large Language Models with Limited API Calls. | Zhikang Xie, Weilin Wan, Peizhu Gong, Weizhong Zhang, Cheng Jin |
| 2026 | ACL | Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies. | Changhai Zhou, Shiyang Zhang, Yuhua Zhou, Jun Gao, Qian Qiao, Shichao Weng, Weizhong Zhang, Cheng Jin |
| 2026 | DEXA | Adaptive Structural Modality Enhancement in Score Calculation for Knowledge Graph Completion. | Junhui Deng, Yingshan Shen, Weizhong Zhang, Guanxin Hou, Shuqi Chen |
| 2025 | AAAI | Optimized Gradient Clipping for Noisy Label Learning. | Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin |
| 2025 | AAAI | Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching. | Zhao Zhou, Yiqun Wang, Weizhong Zhang, Yingbin Zheng, Xiangcheng Du, Cheng Jin |
| 2025 | AAAI | Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning. | Zhao Zhou, Weizhong Zhang, Xiangcheng Du, Yingbin Zheng, Cheng Jin |
| 2025 | ACL | Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient. | Yuan Gao, Zujing Liu, Weizhong Zhang, Bo Du, Gui-Song Xia |
| 2025 | ADMA | DocFEAt: A Lightweight Model with Hybrid Feature Engineering and Dynamic Attention for Document Dewarping. | Weizhong Zhang, Yingshan Shen, Sizhu Wang, Qi Chen, Junhui Deng, Jiahao Feng |
| 2025 | CVPR | Population Normalization for Federated Learning. | Zhuoyao Wang, Fan Yi, Peizhu Gong, Caitou He, Cheng Jin, Weizhong Zhang |
| 2025 | CVPR | DreamText: High Fidelity Scene Text Synthesis. | Yibin Wang, Weizhong Zhang, Honghui Xu, Cheng Jin |
| 2025 | ICML | Towards Robust Influence Functions with Flat Validation Minima. | Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen |
| 2025 | NAACL | TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data. | Jipeng Zhang, Yaxuan Qin, Renjie Pi, Weizhong Zhang, Rui Pan, Tong Zhang |
| 2024 | AAAI | Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection. | Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin |
| 2024 | AAAI | FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation. | Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin |
| 2024 | CVPR | PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization. | Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin |
| 2024 | CVPR | High-fidelity Person-centric Subject-to-Image Synthesis. | Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin |
| 2024 | ICLR | Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost. | Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma |
| 2024 | ICLR | Spurious Feature Diversification Improves Out-of-distribution Generalization. | Yong Lin, Lu Tan, Yifan Hao, Honam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang |
| 2024 | ICML | Efficient Denoising Diffusion via Probabilistic Masking. | Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen |
| 2023 | CVPR | DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. | Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen |
| 2023 | ICLR | Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. | Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong |
| 2023 | ICLR | A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond. | Yong Lin, Renjie Pi, Weizhong Zhang, Xiaobo Xia, Jiahui Gao, Xiao Zhou, Tongliang Liu, Bo Han |
| 2023 | ICLR | DynaMS: Dyanmic Margin Selection for Efficient Deep Learning. | Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan |
| 2023 | SODA | Approximation Algorithms for Steiner Tree Augmentation Problems. | R. Ravi, Weizhong Zhang, Michael Zlatin |
| 2022 | AISTATS | Finding Dynamics Preserving Adversarial Winning Tickets. | Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang |
| 2022 | ICML | Model Agnostic Sample Reweighting for Out-of-Distribution Learning. | Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang |
| 2022 | ICML | Sparse Invariant Risk Minimization. | Xiao Zhou, Yong Lin, Weizhong Zhang, Tong Zhang |
| 2022 | ICML | Probabilistic Bilevel Coreset Selection. | Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Zonghao Chen, Tong Zhang |
| 2021 | CVPR | Effective Sparsification of Neural Networks With Global Sparsity Constraint. | Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang |
| 2020 | AAAI | Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. | Wei Chen, Weizhong Zhang, Haoyu Zhao |
| 2019 | CVPR | A Sufficient Condition for Convergences of Adam and RMSProp. | Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu |
| 2018 | ICML | Safe Element Screening for Submodular Function Minimization. | Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang |
| 2017 | ICML | Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. | Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang |
| 2017 | KDD | Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. | Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang |
| 2016 | AAAI | Accelerated Sparse Linear Regression via Random Projection. | Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He |
| 2014 | AAAI | Sparse Learning for Stochastic Composite Optimization. | Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He |
| 2013 | ICNC | Optimal trajectory planning for a quadrotor via a Gauss Pseudo-spectrum Method. | Dan Wang, Weizhong Zhang, Jiayuan Shan |
| 2010 | ICARCV | Opportunistic 3D trajectory generation for the JPL Aerobot with Nonlinear Trajectory Generation methodology. | Weizhong Zhang, Tamer Inanc, Alberto Elfes |
| 2010 | IROS | Energy efficient trajectory generation for a state-space based JPL Aerobot. | Weizhong Zhang, Tamer Inanc, Alberto Elfes |
| 2010 | SMC | A tutorial for applying DMOC to solve optimization control problems. | Weizhong Zhang, Tamer Inanc |
| 2008 | ICARCV | DMOC approach of real-time trajectory generation for mechanical systems. | Weizhong Zhang, Tamer Inanc, Jerrold E. Marsden |
| 2008 | ICRA | Optimal trajectory generation for a glider in time-varying 2D ocean flows B-spline model. | Weizhong Zhang, Tamer Inanc, Sina Ober-Blbaum, Jerrold E. Marsden |