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Tsung-Hui Chang

7 papers at tracked venues · 7 at CORE A* · active 2024–2025

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Venues

ICLR ×2ICML ×2NeurIPS ×2AAAI ×1

Frequent coauthors

Zhiwei Tang
×4
Jiasheng Tang
×2
Fan Wang
×2
Qian Chen
×2
Akang Wang
×2
Ruoyu Sun
×2
Xiaodong Luo
×2
Richard Cornelius Suwandi
×1
Feng Yin
×1
Juntao Wang
×1
Renjie Li
×1
Sergios Theodoridis
×1

Papers

  1. Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
    NeurIPS 2025 ·
    Richard Cornelius Suwandi
    ,
    Feng Yin
    ,
    Juntao Wang
    ,
    Renjie Li
    , Tsung-Hui Chang,
    Sergios Theodoridis
  2. Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
    ICML 2025 ·
    Zhiwei Tang
    ,
    Jiangweizhi Peng
    ,
    Jiasheng Tang
    ,
    Mingyi Hong
    ,
    Fan Wang
    , Tsung-Hui Chang
  3. When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach
    ICLR 2025 ·
    Qian Chen
    ,
    Lei Li
    ,
    Qian Li
    ,
    Jianghua Wu
    ,
    Akang Wang
    ,
    Ruoyu Sun
    ,
    Xiaodong Luo
    , Tsung-Hui Chang,
    Qingjiang Shi
  4. Accelerating Parallel Sampling of Diffusion Models
    ICML 2024 ·
    Zhiwei Tang
    ,
    Jiasheng Tang
    ,
    Hao Luo
    ,
    Fan Wang
    , Tsung-Hui Chang
  5. SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
    NeurIPS 2024 ·
    Qian Chen
    ,
    Tianjian Zhang
    ,
    Linxin Yang
    ,
    Qingyu Han
    ,
    Akang Wang
    ,
    Ruoyu Sun
    ,
    Xiaodong Luo
    , Tsung-Hui Chang
  6. Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
    ICLR 2024 ·
    Zhiwei Tang
    ,
    Dmitry Rybin
    , Tsung-Hui Chang
  7. z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning
    AAAI 2024 ·
    Zhiwei Tang
    ,
    Yanmeng Wang
    , Tsung-Hui Chang