Jiang, Zhaohui

9 publications

AAAI 2025 Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong, Zhaohui Jiang, Dong Pan, Haoyang Yu

ICML 2025 Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Eyke Hüllermeier, Paul Weng, Yifei Zhu

AAAI 2025 DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Puchen Xu, Eyke Hüllermeier, Paul Weng, Yifei Zhu

ICCV 2025 Flexi-FSCIL: Adaptive Knowledge Retention for Breaking the Stability-Plasticity Dilemma in Few-Shot Class-Incremental Learning Wufei Xie, Yalin Wang, Chenliang Liu, Zhaohui Jiang, Xue Yang

ICLR 2025 Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards Zhaohui Jiang, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan

ICMLW 2024 Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Eyke Hüllermeier, Paul Weng, Yifei Zhu

TMLR 2023 Differentiable Logic Machines Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu

ECML-PKDD 2023 Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning Zhaohui Jiang, Paul Weng

ICML 2022 Neuro-Symbolic Hierarchical Rule Induction Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao