Yichun Hu

According to our database, Yichun Hu authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation.

Zixuan Hu, Xuantuo Huang, Yancheng Li, Yichun Hu, Shengyong Xu, Ling-Yu Duan

CoRR, May, 2026

Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control.

Yaqi Duan, Yichun Hu, Jiashuo Jiang

CoRR, January, 2026

2025

SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation.

Zixuan Hu, Yichun Hu, Ling-Yu Duan

CoRR, May, 2025

Learning Fair And Effective Points-Based Rewards Programs.

Chamsi Hssaine, Yichun Hu, Ciara Pike-Burke

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation.

Zixuan Hu, Yichun Hu, Xiaotong Li, Shixiang Tang, Lingyu Duan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Contextual Linear Optimization with Bandit Feedback.

Yichun Hu, Nathan Kallus, Xiaojie Mao, Yanchen Wu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LEAD: Exploring Logit Space Evolution for Model Selection.

Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Ling-Yu Duan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

AutoDes: Few-Shot Named Entity Recognition with Class Descriptions.

Ting Lu, Yichun Hu, Guohua Liu, Qiubo Huang, Wenjing Guo, Shan Chang

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Smooth Contextual Bandits: Bridging the Parametric and Nondifferentiable Regret Regimes.

Yichun Hu, Nathan Kallus, Xiaojie Mao

Oper. Res., November, 2022

Fast Rates for Contextual Linear Optimization.

Yichun Hu, Nathan Kallus, Xiaojie Mao

Manag. Sci., 2022

2021

Fast Rates for the Regret of Offline Reinforcement Learning.

Yichun Hu, Nathan Kallus, Masatoshi Uehara

Proceedings of the Conference on Learning Theory, 2021

2020

DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret.

Yichun Hu, Nathan Kallus

CoRR, 2020

Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes.

Yichun Hu, Nathan Kallus, Xiaojie Mao

Proceedings of the Conference on Learning Theory, 2020

2019

Urban Green Space Accessibility Evaluation Using Age-Based 2-Step Floating Catchment Area Method.

Jingyuan Qiu, Yuqi Bai, Yichun Hu, Tianhao Wang, Pei Zhang, Chengzhong Xu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019