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Yun Zhou

12 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

AAAI ×4EACL ×2EMNLP ×2ICML ×2ICDE ×1NAACL ×1

Frequent coauthors

Lin Lee Cheong
×5
Zhichao Xu
×4
Kang Zhou
×4
Haibo Ding
×4
Kiran Ramnath
×3
Balasubramaniam Srinivasan
×3
Sangmin Woo
×3
Sheng Guan
×3
Aosong Feng
×2
Yuzhe Lu
×2
Panpan Xu
×2
Haozhu Wang
×2

Papers

  1. Accurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
    ICDE 2026 ·
    Lei Gao
    ,
    HengDa Bao
    ,
    Jingfei Fang
    ,
    Guangzheng Wu
    ,
    Weihua Zhou
    , Yun Zhou
  2. BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
    EACL 2026 ·
    Bo Yuan
    , Yun Zhou,
    Zhichao Xu
    ,
    Kiran Ramnath
    ,
    Aosong Feng
    ,
    Balasubramaniam Srinivasan
  3. Collaborative LLM Numerical Reasoning with Local Data Protection
    AAAI 2026 ·
    Min Zhang
    ,
    Yuzhe Lu
    , Yun Zhou,
    Panpan Xu
    ,
    Lin Lee Cheong
    ,
    Chang-Tien Lu
    ,
    Haozhu Wang
  4. Learning to Ideate for Machine Learning Engineering Agents
    EACL 2026 ·
    Yunxiang Zhang
    ,
    Kang Zhou
    ,
    Zhichao Xu
    ,
    Kiran Ramnath
    , Yun Zhou,
    Sangmin Woo
    ,
    Haibo Ding
    ,
    Lin Lee Cheong
  5. PQDA: Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL
    AAAI 2026 · Yun Zhou,
    Yuqiang Wu
    ,
    Chunyu Tan
  6. A Systematic Survey of Automatic Prompt Optimization Techniques
    EMNLP 2025 ·
    Kiran Ramnath
    ,
    Kang Zhou
    ,
    Sheng Guan
    ,
    Soumya Smruti Mishra
    ,
    Xuan Qi
    ,
    Zhengyuan Shen
    ,
    Shuai Wang
    ,
    Sangmin Woo
    ,
    Sullam Jeoung
    ,
    Yawei Wang
    ,
    Haozhu Wang
    ,
    Han Ding
    ,
    Yuzhe Lu
    ,
    Zhichao Xu
    , Yun Zhou,
    Balasubramaniam Srinivasan
    ,
    Qiaojing Yan
    ,
    Yueyan Chen
    ,
    Haibo Ding
    ,
    Panpan Xu
    ,
    Lin Lee Cheong
  7. Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
    NAACL 2025 ·
    Sangmin Woo
    ,
    Kang Zhou
    , Yun Zhou,
    Shuai Wang
    ,
    Sheng Guan
    ,
    Haibo Ding
    ,
    Lin Lee Cheong
  8. COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
    ICML 2025 ·
    Wenxu Wang
    ,
    Rui Zhou
    ,
    Jing Wang
    , Yun Zhou,
    Cheng Zhu
    ,
    Ruichun Tang
    ,
    Bo Han
    ,
    Nevin L. Zhang
  9. IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
    EMNLP 2025 ·
    Aosong Feng
    ,
    Balasubramaniam Srinivasan
    , Yun Zhou,
    Zhichao Xu
    ,
    Kang Zhou
    ,
    Sheng Guan
    ,
    Yueyan Chen
    ,
    Xian Wu
    ,
    Ninad Kulkarni
    ,
    Yi Zhang
    ,
    Zhengyuan Shen
    ,
    Dmitriy Bespalov
    ,
    Soumya Smruti Mishra
    ,
    Yifei Teng
    ,
    Darren Yow-Bang Wang
    ,
    Haibo Ding
    ,
    Lin Lee Cheong
  10. ReferSplat: Referring Segmentation in 3D Gaussian Splatting
    ICML 2025 ·
    Shuting He
    ,
    Guangquan Jie
    ,
    Changshuo Wang
    , Yun Zhou,
    Shuming Hu
    ,
    Guanbin Li
    ,
    Henghui Ding
  11. Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
    AAAI 2025 ·
    Xingzhi Zhou
    ,
    Zhiliang Tian
    ,
    Boyang Zhang
    ,
    Yibo Zhang
    ,
    Ka Chun Cheung
    ,
    Simon See
    ,
    Hao Yang
    , Yun Zhou,
    Nevin L. Zhang
  12. Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
    AAAI 2024 ·
    Qiaoyun Wu
    ,
    Quanxiao Zhang
    ,
    Chunyu Tan
    , Yun Zhou,
    Changyin Sun