Jiacheng Weng

According to our database, Jiacheng Weng authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bidirectional accelerated adaptive moment estimation for deep neural networks.

Yuanzheng Lou, Yuqiu Shen, Majid Ahmed Khan, Mengjia Zhao, Fangdan Dai, Xu Shan, Jianhong Wang, Jiacheng Weng

Knowl. Based Syst., 2026

CDadam: Central difference adam algorithm for physics-informed neural networks.

Mengjia Zhao, Yuqiu Shen, Majid Ahmed Khan, Yuanzheng Lou, Fangdan Dai, Jiacheng Weng, Jianhong Wang

Neurocomputing, 2026

2025

Fast and accurate fractional order gradient descent algorithm and its application in Extreme Gradient Boosting.

Haixin Wu, Jiacheng Weng, Yuanzheng Lou, Yuqiu Shen, Jianhong Wang

Knowl. Based Syst., 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

A reinforcement learning-based approach for solving multi-agent job shop scheduling problem.

Zhuoran Dong, Tao Ren, Fang Qi, Jiacheng Weng, Danyu Bai, Jie Yang, Chin-Chia Wu

Int. J. Prod. Res., 2025

2023

Human Gait Cost Function Varies With Walking Speed: An Inverse Optimal Control Study.

Jiacheng Weng, Ehsan Hashemi, Arash Arami

IEEE Robotics Autom. Lett., 2023

2022

Imitate then Transcend: Multi-Agent Optimal Execution with Dual-Window Denoise PPO.

Jin Fang, Jiacheng Weng, Yi Xiang, Xinwen Zhang

CoRR, 2022

Accurate Real-time Phase Estimation for Normal and Asymmetric Gait.

Mohammad Shushtari, Hannah Dinovitzer, Jiacheng Weng, Arash Arami

Proceedings of the International Conference on Rehabilitation Robotics, 2022

2021

Natural Walking With Musculoskeletal Models Using Deep Reinforcement Learning.

Jiacheng Weng, Ehsan Hashemi, Arash Arami

IEEE Robotics Autom. Lett., 2021