Chang, Tsung-Hui

14 publications

NeurIPS 2025 Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs Richard Cornelius Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis

ICML 2025 Inference-Time Alignment of Diffusion Models with Direct Noise Optimization Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang

ICLR 2025 When GNNs Meet Symmetry in ILPs: An Orbit-Based Feature Augmentation Approach Qian Chen, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi

ICML 2024 Accelerating Parallel Sampling of Diffusion Models Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang

NeurIPS 2024 SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang

ICMLW 2024 Tuning-Free Alignment of Diffusion Models with Direct Noise Optimization Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang

AAAI 2024 Z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang

ICLR 2024 Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang

AAAI 2023 A Simple yet Effective Subsequence-Enhanced Approach for Cross-Domain NER Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang

AAAI 2023 Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun

AAAI 2023 EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang

UAI 2023 Low-Rank Matrix Recovery with Unknown Correspondence Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha

ICMLW 2023 Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang

NeurIPSW 2022 $z$-SignFedAvg: A Unified Sign-Based Stochastic Compression for Federated Learning Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang