Jiahua Ma

According to our database, Jiahua Ma authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation.

Yiran Qin, Jiahua Ma, Li Kang, Wenzhan Li, Yihang Jiao, Xin Wen, Xiufeng Song, Heng Zhou, Jiwen Yu, Zhenfei Yin, Xihui Liu, Philip Torr, Yilun Du, Ruimao Zhang

CoRR, April, 2026

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation.

Jiahua Ma, Yiran Qin, Xin Wen, Yixiong Li, Yuyu Sun, Yulan Guo, Liang Lin, Ruimao Zhang

CoRR, April, 2026

TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance.

Zhemeng Zhang, Jiahua Ma, Xincheng Yang, Xin Wen, Yuzhi Zhang, Boyan Li, Yiran Qin, Jin Liu, Can Zhao, Li Kang, Haoqin Hong, Zhenfei Yin, Philip Torr, Hao Su, Ruimao Zhang, Daolin Ma

CoRR, January, 2026

2025

GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies.

Ziye Wang, Li Kang, Yiran Qin, Jiahua Ma, Zhanglin Peng, Lei Bai, Ruimao Zhang

CoRR, November, 2025

A New Accelerated Off-Policy Stochastic Preconditioned TD(0) Algorithm.

Weidong Liu, Jiahua Ma, Xiaojun Mao, Kejie Tang

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion.

Jiahua Ma, Yiran Qin, Yixiong Li, Xuanqi Liao, Yulan Guo, Ruimao Zhang

CoRR, June, 2025

Fixed-time adaptive neural network compensation control for uncertain nonlinear systems.

Jiahua Ma, Zhikai Yao, Wenxiang Deng, Jianyong Yao

Neural Networks, 2025

2024

Ensuring Force Safety in Vision-Guided Robotic Manipulation via Implicit Tactile Calibration.

Lai Wei, Jiahua Ma, Yibo Hu, Ruimao Zhang

CoRR, 2024

2021

The Expertise Involved in Deciding which HITs are Worth Doing on Amazon Mechanical Turk.

Benjamin V. Hanrahan, Anita Chen, Jiahua Ma, Ning F. Ma, Anna Cinzia Squicciarini, Saiph Savage

Proc. ACM Hum. Comput. Interact., 2021

Client Selection Based on Label Quantity Information for Federated Learning.

Jiahua Ma, Xinghua Sun, Wenchao Xia, Xijun Wang, Xiang Chen, Hongbo Zhu

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021