Object-Adaptive LSTM Network for Visual Tracking. - Yihan Du; Yan Yan 001; Si Chen 002; Yang Hua 001; Hanzi Wang (ICPR, 2018)

Direct Object Recognition Without Line-Of-Sight Using Optical Coherence. - Xin Lei; Liangyu He; Yixuan Tan; Ken Xingze Wang; Xinggang Wang; Yihan Du; Shanhui Fan; Zongfu Yu (CVPR, 2019)

Dueling Bandits: From Two-dueling to Multi-dueling. - Yihan Du; Siwei Wang 002; Longbo Huang (AAMAS, 2020)

Combinatorial Pure Exploration for Dueling Bandit. - Wei Chen 034; Yihan Du; Longbo Huang; Haoyu Zhao (ICML, 2020)

Combinatorial Pure Exploration with Partial or Full-Bandit Linear Feedback. - Wei Chen 034; Yihan Du; Yuko Kuroki (CoRR, 2020)

Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation. - Yihan Du; Yan Yan 001; Si Chen 002; Yang Hua 001 (Neurocomputing, 2020)

Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback. - Yihan Du; Yuko Kuroki; Wei Chen 034 (AAAI, 2021)

A One-Size-Fits-All Solution to Conservative Bandit Problems. - Yihan Du; Siwei Wang 002; Longbo Huang (AAAI, 2021)

Combinatorial Pure Exploration with Bottleneck Reward Function. - Yihan Du; Yuko Kuroki; Wei Chen 013 (NeurIPS, 2021)

Continuous Mean-Covariance Bandits. - Yihan Du; Siwei Wang 002; Zhixuan Fang; Longbo Huang (NeurIPS, 2021)

Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions. - Yihan Du; Yuko Kuroki; Wei Chen 034 (CoRR, 2021)

Branching Reinforcement Learning. - Yihan Du; Wei Chen 013 (ICML, 2022)

Branching Reinforcement Learning. - Yihan Du; Wei Chen 034 (CoRR, 2022)

Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path. - Yihan Du; Siwei Wang 002; Longbo Huang (CoRR, 2022)

Collaborative Pure Exploration in Kernel Bandit. - Yihan Du; Wei Chen 034; Yuko Kuroki; Longbo Huang (ICLR, 2023)

Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path. - Yihan Du; Siwei Wang 002; Longbo Huang (ICLR, 2023)

Multi-task Representation Learning for Pure Exploration in Linear Bandits. - Yihan Du; Longbo Huang; Wen Sun (ICML, 2023)

Provably Safe Reinforcement Learning with Step-wise Violation Constraints. - Nuoya Xiong; Yihan Du; Longbo Huang (NeurIPS, 2023)

Improved Algorithm to Derive All-Sky Longwave Downward Radiation From Space: Application to Fengyun-4A Measurements. - Tianxing Wang 001; Gaofeng Wang; Chuanye Shi; Yihan Du; Husi Letu; Wanchun Zhang; Huazhu Xue (IEEE Trans. Geosci. Remote. Sens., 2023)

Errata on "Improved Algorithm to Derive All-Sky Longwave Downward Radiation From Space: Application to Fengyun-4A Measurements". - Tianxing Wang 001; Gaofeng Wang; Chuanye Shi; Yihan Du; Husi Letu; Wanchun Zhang; Huazhu Xue (IEEE Trans. Geosci. Remote. Sens., 2023)

A Uniform Model for Correcting Shortwave Downward Radiation Over Rugged Terrain at Various Scales. - Yuyang Xian; Tianxing Wang 001; Wenjie Cheng; Husi Letu; Yihan Du; Wanchun Leng (IEEE Trans. Geosci. Remote. Sens., 2023)

Upscaling of longwave downward radiation from instantaneous to any temporal scale: Algorithms, validation, and comparison. - Yihan Du; Tianxing Wang 001; Yu Zhou; Dahui Li; Shiyao Wang; Yuyang Xian (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback. - Yu Chen 074; Yihan Du; Pihe Hu; Siwei Wang 002; Desheng Wu; Longbo Huang (ICLR, 2024)

Cascading Reinforcement Learning. - Yihan Du; R. Srikant 001; Wei Chen (ICLR, 2024)

Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. - Yihan Du; Anna Winnicki; Gal Dalal; Shie Mannor; R. Srikant 001 (ICML, 2024)

EVIT-YOLOv8: Construction and research on African Swine Fever facial expression recognition. - Lili Nie; Bugao Li; Fan Jiao; Wenjuan Lu; Xinlong Shi; Xinyue Song; Zeya Shi; Tingting Yang; Yihan Du; Zhenyu Liu (Comput. Electron. Agric., 2024)

To Ignore or Not: Understanding the Influence of Hillshade. - Yuyang Xian; Tianxing Wang 001; Pei Yu; Yihan Du (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Method to Derive Long-Term Global Hourly Near-Surface Air Temperature by Combining Remote Sensing and Reanalysis Datasets. - Shuo Wang; Tianxing Wang 001; Yihan Du; Shiyao Wang; Shaodong Li (IEEE Geosci. Remote. Sens. Lett., 2025)

Reinforcement Learning with Segment Feedback. - Yihan Du; Anna Winnicki; Gal Dalal; Shie Mannor; R. Srikant 001 (CoRR, 2025)