Yihan Du - RankMe

45 papers A* 15A 1B 1Journal 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes. CoRR Yu Chen, Yuhao Liu, Jiatai Huang, Yihan Du, Longbo Huang
2026	J	`jnl`	Block Time-Varying Channel Estimation for OTFS Systems in LEO Satellite Communications. IEEE Trans. Aerosp. Electron. Syst. Xinjie Zhao, Ziwei Liu, Bin Lyu, Yihan Du, Gengxin Zhang
2026	J	`jnl`	Phase-Slope Pilot-Aided Channel Estimation for OTFS-Based Multiple Access Systems in LEO Satellite Communications. IEEE Commun. Lett. Xinjie Zhao, Ziwei Liu, Bin Lyu, Yihan Du, Gengxin Zhang
2025	J	`jnl`	A Method to Derive Long-Term Global Hourly Near-Surface Air Temperature by Combining Remote Sensing and Reanalysis Datasets. IEEE Geosci. Remote. Sens. Lett. Shuo Wang, Tianxing Wang, Yihan Du, Shiyao Wang, Shaodong Li
2025	J	`jnl`	Primal-Dual Direct Preference Optimization for Constrained LLM Alignment. CoRR Yihan Du, Seo Taek Kong, R. Srikant
2025	A*	`conf`	Reinforcement Learning with Segment Feedback. ICML Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2025	J	`jnl`	Reinforcement Learning with Segment Feedback. CoRR Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2024	A*	`conf`	Cascading Reinforcement Learning. ICLR Yihan Du, R. Srikant, Wei Chen
2024	J	`jnl`	Cascading Reinforcement Learning. CoRR Yihan Du, R. Srikant, Wei Chen
2024	J	`jnl`	EVIT-YOLOv8: Construction and research on African Swine Fever facial expression recognition. Comput. Electron. Agric. Lili Nie, Bugao Li, Fan Jiao, Wenjuan Lu, Xinlong Shi, Xinyue Song, Zeya Shi, Tingting Yang, Yihan Du, Zhenyu Liu
2024	A*	`conf`	Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. ICML Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2024	J	`jnl`	Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. CoRR Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2024	A*	`conf`	Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback. ICLR Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
2024	J	`jnl`	To Ignore or Not: Understanding the Influence of Hillshade. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yuyang Xian, Tianxing Wang, Pei Yu, Yihan Du
2023	J	`jnl`	A Uniform Model for Correcting Shortwave Downward Radiation Over Rugged Terrain at Various Scales. IEEE Trans. Geosci. Remote. Sens. Yuyang Xian, Tianxing Wang, Wenjie Cheng, Husi Letu, Yihan Du, Wanchun Leng
2023	A*	`conf`	Collaborative Pure Exploration in Kernel Bandit. ICLR Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
2023	J	`jnl`	Errata on "Improved Algorithm to Derive All-Sky Longwave Downward Radiation From Space: Application to Fengyun-4A Measurements". IEEE Trans. Geosci. Remote. Sens. Tianxing Wang, Gaofeng Wang, Chuanye Shi, Yihan Du, Husi Letu, Wanchun Zhang, Huazhu Xue
2023	J	`jnl`	Improved Algorithm to Derive All-Sky Longwave Downward Radiation From Space: Application to Fengyun-4A Measurements. IEEE Trans. Geosci. Remote. Sens. Tianxing Wang, Gaofeng Wang, Chuanye Shi, Yihan Du, Husi Letu, Wanchun Zhang, Huazhu Xue
2023	A*	`conf`	Multi-task Representation Learning for Pure Exploration in Linear Bandits. ICML Yihan Du, Longbo Huang, Wen Sun
2023	J	`jnl`	Multi-task Representation Learning for Pure Exploration in Linear Bandits. CoRR Yihan Du, Longbo Huang, Wen Sun
2023	A*	`conf`	Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path. ICLR Yihan Du, Siwei Wang, Longbo Huang
2023	A*	`conf`	Provably Safe Reinforcement Learning with Step-wise Violation Constraints. NeurIPS Nuoya Xiong, Yihan Du, Longbo Huang
2023	J	`jnl`	Provably Safe Reinforcement Learning with Step-wise Violation Constraints. CoRR Nuoya Xiong, Yihan Du, Longbo Huang
2023	J	`jnl`	Upscaling of longwave downward radiation from instantaneous to any temporal scale: Algorithms, validation, and comparison. Int. J. Appl. Earth Obs. Geoinformation Yihan Du, Tianxing Wang, Yu Zhou, Dahui Li, Shiyao Wang, Yuyang Xian
2022	A*	`conf`	Branching Reinforcement Learning. ICML Yihan Du, Wei Chen
2022	J	`jnl`	Branching Reinforcement Learning. CoRR Yihan Du, Wei Chen
2022	J	`jnl`	Dueling Bandits: From Two-dueling to Multi-dueling. CoRR Yihan Du, Siwei Wang, Longbo Huang
2022	J	`jnl`	Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path. CoRR Yihan Du, Siwei Wang, Longbo Huang
2021	A*	`conf`	A One-Size-Fits-All Solution to Conservative Bandit Problems. AAAI Yihan Du, Siwei Wang, Longbo Huang
2021	J	`jnl`	Collaborative Pure Exploration in Kernel Bandit. CoRR Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
2021	J	`jnl`	Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions. CoRR Yihan Du, Yuko Kuroki, Wei Chen
2021	A*	`conf`	Combinatorial Pure Exploration with Bottleneck Reward Function. NeurIPS Yihan Du, Yuko Kuroki, Wei Chen
2021	A*	`conf`	Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback. AAAI Yihan Du, Yuko Kuroki, Wei Chen
2021	A*	`conf`	Continuous Mean-Covariance Bandits. NeurIPS Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021	J	`jnl`	Continuous Mean-Covariance Bandits. CoRR Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2020	J	`jnl`	A One-Size-Fits-All Solution to Conservative Bandit Problems. CoRR Yihan Du, Siwei Wang, Longbo Huang
2020	A*	`conf`	Combinatorial Pure Exploration for Dueling Bandit. ICML Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
2020	J	`jnl`	Combinatorial Pure Exploration of Dueling Bandit. CoRR Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao
2020	J	`jnl`	Combinatorial Pure Exploration with Partial or Full-Bandit Linear Feedback. CoRR Wei Chen, Yihan Du, Yuko Kuroki
2020	A	`conf`	Dueling Bandits: From Two-dueling to Multi-dueling. AAMAS Yihan Du, Siwei Wang, Longbo Huang
2020	J	`jnl`	Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation. CoRR Yihan Du, Yan Yan, Si Chen, Yang Hua
2020	J	`jnl`	Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation. Neurocomputing Yihan Du, Yan Yan, Si Chen, Yang Hua
2019	A*	`conf`	Direct Object Recognition Without Line-Of-Sight Using Optical Coherence. CVPR Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
2019	J	`jnl`	Direct Object Recognition Without Line-of-Sight Using Optical Coherence. CoRR Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
2018	B	`conf`	Object-Adaptive LSTM Network for Visual Tracking. ICPR Yihan Du, Yan Yan, Si Chen, Yang Hua, Hanzi Wang