Urban Green Space Accessibility Evaluation Using Age-Based 2-Step Floating Catchment Area Method. - Jingyuan Qiu; Yuqi Bai; Yichun Hu; Tianhao Wang 011; Pei Zhang; Chengzhong Xu 003 (IGARSS, 2019)

Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes. - Yichun Hu; Nathan Kallus; Xiaojie Mao (COLT, 2020)

DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret. - Yichun Hu; Nathan Kallus (CoRR, 2020)

Fast Rates for Contextual Linear Optimization. - Yichun Hu; Nathan Kallus; Xiaojie Mao (Manag. Sci., 2022)

Smooth Contextual Bandits: Bridging the Parametric and Nondifferentiable Regret Regimes. - Yichun Hu; Nathan Kallus; Xiaojie Mao (Oper. Res., 2022)

AutoDes: Few-Shot Named Entity Recognition with Class Descriptions. - Ting Lu 001; Yichun Hu; Guohua Liu; Qiubo Huang; Wenjing Guo; Shan Chang (IJCNN, 2023)

Practical Policy Optimization with Personalized Experimentation. - Mia Garrard; Hanson Wang; Ben Letham; Shaun Singh; Abbas Kazerouni; Sarah Tan; Zehui Wang; Yin Huang; Yichun Hu; Chad Zhou; Norm Zhou; Eytan Bakshy (CoRR, 2023)

LEAD: Exploring Logit Space Evolution for Model Selection. - Zixuan Hu; Xiaotong Li; Shixiang Tang; Jun Liu 036; Yichun Hu; Ling-Yu Duan (CVPR, 2024)

Contextual Linear Optimization with Bandit Feedback. - Yichun Hu; Nathan Kallus; Xiaojie Mao; Yanchen Wu (NeurIPS, 2024)

Learning Fair And Effective Points-Based Rewards Programs. - Chamsi Hssaine; Yichun Hu; Ciara Pike-Burke (EC, 2025)

Fast Rates for the Regret of Offline Reinforcement Learning. - Yichun Hu; Nathan Kallus; Masatoshi Uehara (Math. Oper. Res., 2025)

SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation. - Zixuan Hu; Yichun Hu; Ling-Yu Duan (CoRR, 2025)

Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation. - Zixuan Hu; Yichun Hu; Xiaotong Li; Shixiang Tang; Ling-Yu Duan (CoRR, 2025)