Natural Walking With Musculoskeletal Models Using Deep Reinforcement Learning. - Jiacheng Weng; Ehsan Hashemi; Arash Arami (IEEE Robotics Autom. Lett., 2021)

Accurate Real-time Phase Estimation for Normal and Asymmetric Gait. - Mohammad Shushtari; Hannah Dinovitzer; Jiacheng Weng; Arash Arami (ICORR, 2022)

Imitate then Transcend: Multi-Agent Optimal Execution with Dual-Window Denoise PPO. - Jin Fang; Jiacheng Weng; Yi Xiang; Xinwen Zhang (CoRR, 2022)

Human Gait Cost Function Varies With Walking Speed: An Inverse Optimal Control Study. - Jiacheng Weng; Ehsan Hashemi; Arash Arami (IEEE Robotics Autom. Lett., 2023)

A reinforcement learning-based approach for solving multi-agent job shop scheduling problem. - Zhuoran Dong; Tao Ren 002; Fang Qi; Jiacheng Weng; Danyu Bai; Jie Yang; Chin-Chia Wu (Int. J. Prod. Res., 2025)

Fractional light gradient boosting machine ensemble learning model: A non-causal fractional difference descent approach. - Haixin Wu; Yaqian Mao; Jiacheng Weng; Yue Yu; Jianhong Wang (Inf. Fusion, 2025)