PPaperPicks

Weizhong Zhang

27 papers at tracked venues · 26 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Cheng Jin
×15
Zhiwei Li
×4
Weilin Wan
×3
Cheng Jin
×3
Xichen Ye
×3
Yuan Gao
×3
Yuesen Liao
×3
Binrui Wu
×3
Yibin Wang
×3
Yanlu Cai
×3
Peizhu Gong
×2
Fan Yi
×2

Papers

  1. Advanced Black-Box Tuning of Large Language Models with Limited API Calls
    AAAI 2026 ·
    Zhikang Xie
    ,
    Weilin Wan
    ,
    Peizhu Gong
    , Weizhong Zhang,
    Cheng Jin
  2. Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic Hierarchies
    ACL 2026 ·
    Changhai Zhou
    ,
    Shiyang Zhang
    ,
    Yuhua Zhou
    ,
    Jun Gao
    ,
    Qian Qiao
    ,
    Shichao Weng
    , Weizhong Zhang,
    Cheng Jin
  3. Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
    AAAI 2026 ·
    Weilin Wan
    ,
    Fan Yi
    , Weizhong Zhang,
    Quan Zhou
    ,
    Cheng Jin
  4. Investigating Data Pruning for Pretraining Biological Foundation Models at Scale
    AAAI 2026 ·
    Yifan Wu
    ,
    Jiyue Jiang
    ,
    Xichen Ye
    ,
    Yiqi Wang
    ,
    Chang Zhou
    ,
    Yitao Xu
    ,
    Jiayang Chen
    ,
    He Hu
    , Weizhong Zhang,
    Cheng Jin
    ,
    Jiao Yuan
    ,
    Yu Li
  5. Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching
    AAAI 2025 ·
    Zhao Zhou
    ,
    Yiqun Wang
    , Weizhong Zhang,
    Yingbin Zheng
    ,
    Xiangcheng Du
    ,
    Cheng Jin
  6. Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient
    ACL 2025 ·
    Yuan Gao
    ,
    Zujing Liu
    , Weizhong Zhang,
    Bo Du
    ,
    Gui-Song Xia
  7. Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
    NeurIPS 2025 ·
    Yang Chen
    ,
    Yirun Zhou
    , Weizhong Zhang,
    Cheng Jin
  8. Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
    NeurIPS 2025 ·
    Yuesen Liao
    ,
    Zhiwei Li
    ,
    Binrui Wu
    ,
    Zihao Cheng
    ,
    Su Zhao
    ,
    Shuai Chen
    , Weizhong Zhang
  9. Computation and Memory-Efficient Model Compression with Gradient Reweighting
    NeurIPS 2025 ·
    Zhiwei Li
    ,
    Yuesen Liao
    ,
    Binrui Wu
    ,
    Yuquan Zhou
    ,
    Xupeng Shi
    ,
    Dongsheng Jiang
    ,
    Yin Li
    , Weizhong Zhang
  10. Computational Budget Should Be Considered in Data Selection
    NeurIPS 2025 ·
    Weilin Wan
    , Weizhong Zhang,
    Cheng Jin
  11. DreamText: High Fidelity Scene Text Synthesis
    CVPR 2025 ·
    Yibin Wang
    , Weizhong Zhang,
    Honghui Xu
    ,
    Cheng Jin
  12. Efficient Representativeness-Aware Coreset Selection
    NeurIPS 2025 ·
    Zihao Cheng
    ,
    Binrui Wu
    ,
    Zhiwei Li
    ,
    Yuesen Liao
    ,
    Su Zhao
    ,
    Shuai Chen
    ,
    Yuan Gao
    , Weizhong Zhang
  13. Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning
    AAAI 2025 ·
    Zhao Zhou
    , Weizhong Zhang,
    Xiangcheng Du
    ,
    Yingbin Zheng
    ,
    Cheng Jin
  14. Optimized Gradient Clipping for Noisy Label Learning
    AAAI 2025 ·
    Xichen Ye
    ,
    Yifan Wu
    , Weizhong Zhang,
    Xiaoqiang Li
    ,
    Yifan Chen
    ,
    Cheng Jin
  15. Population Normalization for Federated Learning
    CVPR 2025 ·
    Zhuoyao Wang
    ,
    Fan Yi
    ,
    Peizhu Gong
    ,
    Caitou He
    ,
    Cheng Jin
    , Weizhong Zhang
  16. TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
    NAACL 2025 ·
    Jipeng Zhang
    ,
    Yaxuan Qin
    ,
    Renjie Pi
    , Weizhong Zhang,
    Rui Pan
    ,
    Tong Zhang
  17. Towards Robust Influence Functions with Flat Validation Minima
    ICML 2025 ·
    Xichen Ye
    ,
    Yifan Wu
    , Weizhong Zhang,
    Cheng Jin
    ,
    Yifan Chen
  18. Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
    ICLR 2024 ·
    Yuan Gao
    , Weizhong Zhang,
    Wenhan Luo
    ,
    Lin Ma
    ,
    Jin-Gang Yu
    ,
    Gui-Song Xia
    ,
    Jiayi Ma
  19. Efficient Denoising Diffusion via Probabilistic Masking
    ICML 2024 · Weizhong Zhang,
    Zhiwei Zhang
    ,
    Renjie Pi
    ,
    Zhongming Jin
    ,
    Yuan Gao
    ,
    Jieping Ye
    ,
    Kani Chen
  20. FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation
    AAAI 2024 ·
    Yanlu Cai
    , Weizhong Zhang,
    Yuan Wu
    ,
    Cheng Jin
  21. Future Motion Dynamic Modeling via Hybrid Supervision for Multi-Person Motion Prediction Uncertainty Reduction
    ACM MM 2024 ·
    Yan Zhuang
    ,
    Yanlu Cai
    , Weizhong Zhang,
    Cheng Jin
  22. High-fidelity Person-centric Subject-to-Image Synthesis
    CVPR 2024 ·
    Yibin Wang
    , Weizhong Zhang,
    Jianwei Zheng
    ,
    Cheng Jin
  23. Low Precision Local Training is Enough for Federated Learning
    NeurIPS 2024 ·
    Zhiwei Li
    ,
    Yiqiu LI
    ,
    Binbin Lin
    ,
    Zhongming Jin
    , Weizhong Zhang
  24. Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection
    AAAI 2024 ·
    Kaiyi Zhang
    ,
    Yang Chen
    ,
    Ximing Yang
    , Weizhong Zhang,
    Cheng Jin
  25. PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization
    CVPR 2024 ·
    Yanlu Cai
    , Weizhong Zhang,
    Yuan Wu
    ,
    Cheng Jin
  26. PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering
    ACM MM 2024 ·
    Yibin Wang
    , Weizhong Zhang,
    Jianwei Zheng
    ,
    Cheng Jin
  27. Spurious Feature Diversification Improves Out-of-distribution Generalization
    ICLR 2024 ·
    Yong Lin
    ,
    Lu Tan
    ,
    Yifan Hao
    ,
    Honam Wong
    ,
    Hanze Dong
    , Weizhong Zhang,
    Yujiu Yang
    ,
    Tong Zhang