PPaperPicks

Pu Zhao

Northeastern University, Boston, MA, USA

16 papers at tracked venues · 9 at CORE A* · active 2024–2025

Venues

Frequent coauthors

Yanzhi Wang
×16
Xuan Shen
×10
Xue Lin
×9
Zhenglun Kong
×9
Changdi Yang
×8
Zheng Zhan
×7
Yifan Gong
×7
Wei Niu
×6
Yushu Wu
×6
Zichong Meng
×5
Hao Tang
×4
Jun Liu
×3

Papers

  1. FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
    IJCAI 2025 ·
    Changdi Yang
    ,
    Zheng Zhan
    ,
    Ci Zhang
    ,
    Yifan Gong
    ,
    Yize Li
    ,
    Zichong Meng
    ,
    Jun Liu
    ,
    Xuan Shen
    ,
    Hao Tang
    ,
    Geng Yuan
    , Pu Zhao,
    Xue Lin
    ,
    Yanzhi Wang
  2. LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
    AAAI 2025 ·
    Xuan Shen
    ,
    Zhao Song
    ,
    Yufa Zhou
    ,
    Bo Chen
    ,
    Yanyu Li
    ,
    Yifan Gong
    ,
    Kai Zhang
    ,
    Hao Tan
    ,
    Jason Kuen
    ,
    Henghui Ding
    ,
    Zhihao Shu
    ,
    Wei Niu
    , Pu Zhao,
    Yanzhi Wang
    ,
    Jiuxiang Gu
  3. Numerical Pruning for Efficient Autoregressive Models
    AAAI 2025 ·
    Xuan Shen
    ,
    Zhao Song
    ,
    Yufa Zhou
    ,
    Bo Chen
    ,
    Jing Liu
    ,
    Ruiyi Zhang
    ,
    Ryan A. Rossi
    ,
    Hao Tan
    ,
    Tong Yu
    ,
    Xiang Chen
    ,
    Yufan Zhou
    ,
    Tong Sun
    , Pu Zhao,
    Yanzhi Wang
    ,
    Jiuxiang Gu
  4. Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation
    WACV 2025 ·
    Pinrui Yu
    ,
    Zhenglun Kong
    , Pu Zhao,
    Peiyan Dong
    ,
    Hao Tang
    ,
    Fei Sun
    ,
    Xue Lin
    ,
    Yanzhi Wang
  5. QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
    CVPR 2025 ·
    Xuan Shen
    ,
    Weize Ma
    ,
    Jing Liu
    ,
    Changdi Yang
    ,
    Rui Ding
    ,
    Quanyi Wang
    ,
    Henghui Ding
    ,
    Wei Niu
    ,
    Yanzhi Wang
    , Pu Zhao,
    Jun Lin
    ,
    Jiuxiang Gu
  6. Sparse Learning for State Space Models on Mobile
    ICLR 2025 ·
    Xuan Shen
    ,
    Hangyu Zheng
    ,
    Yifan Gong
    ,
    Zhenglun Kong
    ,
    Changdi Yang
    ,
    Zheng Zhan
    ,
    Yushu Wu
    ,
    Xue Lin
    ,
    Yanzhi Wang
    , Pu Zhao,
    Wei Niu
  7. Taming Diffusion for Dataset Distillation with High Representativeness
    ICML 2025 ·
    Lin Zhao
    ,
    Yushu Wu
    ,
    Xinru Jiang
    ,
    Jianyang Gu
    ,
    Yanzhi Wang
    ,
    Xiaolin Xu
    , Pu Zhao,
    Xue Lin
  8. Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
    AAAI 2025 ·
    Jun Liu
    ,
    Zhenglun Kong
    , Pu Zhao,
    Changdi Yang
    ,
    Xuan Shen
    ,
    Hao Tang
    ,
    Geng Yuan
    ,
    Wei Niu
    ,
    Wenbin Zhang
    ,
    Xue Lin
    ,
    Dong Huang
    ,
    Yanzhi Wang
  9. DiffClass: Diffusion-Based Class Incremental Learning
    ECCV 2024 ·
    Zichong Meng
    ,
    Jie Zhang
    ,
    Changdi Yang
    ,
    Zheng Zhan
    , Pu Zhao,
    Yanzhi Wang
  10. Exploring Token Pruning in Vision State Space Models
    NeurIPS 2024 ·
    Zheng Zhan
    ,
    Zhenglun Kong
    ,
    Yifan Gong
    ,
    Yushu Wu
    ,
    Zichong Meng
    ,
    Hangyu Zheng
    ,
    Xuan Shen
    ,
    Stratis Ioannidis
    ,
    Wei Niu
    , Pu Zhao,
    Yanzhi Wang
  11. Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
    NeurIPS 2024 ·
    Zheng Zhan
    ,
    Yushu Wu
    ,
    Yifan Gong
    ,
    Zichong Meng
    ,
    Zhenglun Kong
    ,
    Changdi Yang
    ,
    Geng Yuan
    , Pu Zhao,
    Wei Niu
    ,
    Yanzhi Wang
  12. FasterVD: On Acceleration of Video Diffusion Models
    IJCAI 2024 ·
    Pinrui Yu
    ,
    Dan Luo
    ,
    Timothy Rupprecht
    ,
    Lei Lu
    ,
    Zhenglun Kong
    , Pu Zhao,
    Yanyu Li
    ,
    Octavia I. Camps
    ,
    Xue Lin
    ,
    Yanzhi Wang
  13. InstructGIE: Towards Generalizable Image Editing
    ECCV 2024 ·
    Zichong Meng
    ,
    Changdi Yang
    ,
    Jun Liu
    ,
    Hao Tang
    , Pu Zhao,
    Yanzhi Wang
  14. Pruning Foundation Models for High Accuracy without Retraining
    EMNLP 2024 · Pu Zhao,
    Fei Sun
    ,
    Xuan Shen
    ,
    Pinrui Yu
    ,
    Zhenglun Kong
    ,
    Yanzhi Wang
    ,
    Xue Lin
  15. Rethinking Token Reduction for State Space Models
    EMNLP 2024 ·
    Zheng Zhan
    ,
    Yushu Wu
    ,
    Zhenglun Kong
    ,
    Changdi Yang
    ,
    Yifan Gong
    ,
    Xuan Shen
    ,
    Xue Lin
    , Pu Zhao,
    Yanzhi Wang
  16. Search for Efficient Large Language Models
    NeurIPS 2024 ·
    Xuan Shen
    , Pu Zhao,
    Yifan Gong
    ,
    Zhenglun Kong
    ,
    Zheng Zhan
    ,
    Yushu Wu
    ,
    Ming Lin
    ,
    Chao Wu
    ,
    Xue Lin
    ,
    Yanzhi Wang