Li, Zhiming

7 publications

AAAI 2025 Logic-Q: Improving Deep Reinforcement Learning-Based Quantitative Trading via Program Sketch-Based Tuning Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun

AAAI 2024 FedMut: Generalized Federated Learning via Stochastic Mutation Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu

ICML 2024 Improving Neural Logic Machines via Failure Reflection Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu

ICML 2023 FAIRER: Fairness as Decision Rationale Alignment Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu

IJCAI 2023 Fairness via Group Contribution Matching Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu

NeurIPS 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu

AAAI 2020 Adabot: Fault-Tolerant Java Decompiler (Student Abstract) Zhiming Li, Qing Wu, Kun Qian