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Xue Lin

13 papers at tracked venues · 5 at CORE A* · active 2024–2026

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Venues

WACV ×3EMNLP ×2IJCAI ×2AAAI ×1ACM MM ×1ECCV ×1ICLR ×1ICML ×1NeurIPS ×1

Frequent coauthors

Yanzhi Wang
×11
Pu Zhao
×9
Zhenglun Kong
×7
Xuan Shen
×6
Yifan Gong
×5
Pinrui Yu
×4
Changdi Yang
×4
Zheng Zhan
×4
Yushu Wu
×4
Geng Yuan
×3
Hao Tang
×3
Jun Liu
×2

Papers

  1. AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness
    WACV 2026 ·
    Pinrui Yu
    ,
    Yiming Xie
    ,
    Longtian Ye
    ,
    Geng Yuan
    ,
    Ningfang Mi
    , Xue Lin
  2. Can Adversarial Examples be Parsed to Reveal Victim Model Information?
    WACV 2025 ·
    Yuguang Yao
    ,
    Jiancheng Liu
    ,
    Yifan Gong
    ,
    Xiaoming Liu
    ,
    Yanzhi Wang
    , Xue Lin,
    Sijia Liu
  3. 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
  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. 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
  6. 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
  7. 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
  8. 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
  9. Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection
    ECCV 2024 ·
    Minzhou Pan
    ,
    Zhenting Wang
    ,
    Xin Dong
    ,
    Vikash Sehwag
    ,
    Lingjuan Lyu
    , Xue Lin
  10. HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression
    ACM MM 2024 ·
    Lei Lu
    ,
    Yanyue Xie
    ,
    Wei Jiang
    ,
    Wei Wang
    , Xue Lin,
    Yanzhi Wang
  11. Pruning Foundation Models for High Accuracy without Retraining
    EMNLP 2024 ·
    Pu Zhao
    ,
    Fei Sun
    ,
    Xuan Shen
    ,
    Pinrui Yu
    ,
    Zhenglun Kong
    ,
    Yanzhi Wang
    , Xue Lin
  12. 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
  13. 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