Zongyuan Zhang

According to our database, Zongyuan Zhang authored at least 17 papers between 2018 and 2026.

Collaborative distances:

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

2026

Transformer-Based Multipath Congestion Control: A Decoupled Approach for Wireless Uplinks.

Zongyuan Zhang, Tianyang Duan, Liang Wang, Zihan Fang, Zheng Lin, Yijun Lu, Jiening Wu, Xia Du, Miao Yang, Zhe Chen, Heming Cui, Jun Luo

CoRR, March, 2026

Acoustic Feedback for Closed-Loop Force Control in Robotic Grinding.

Zongyuan Zhang, Christopher F. Lehnert, Will N. Browne, Jonathan M. Roberts

CoRR, February, 2026

NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning.

Zhen Fang, Miao Yang, Zehang Lin, Zheng Lin, Zihan Fang, Zongyuan Zhang, Tianyang Duan, Dong Huang, Shunzhi Zhu

CoRR, February, 2026

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning.

Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui

IEEE Trans. Mob. Comput., January, 2026

Knowledge-data fusion for water supply pipe failure prediction: A hybrid physics-informed and data-driven method.

Qunfang Hu, Qiang Zhang, Delu Che, Fei Wang, Zongyuan Zhang, Jiahua Zhou

Reliab. Eng. Syst. Saf., 2026

2025

LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems.

Tianyang Duan, Zongyuan Zhang, Zheng Lin, Songxiao Guo, Xiuxian Guan, Guangyu Wu, Zihan Fang, Haotian Meng, Xia Du, Ji-Zhe Zhou, Heming Cui, Jun Luo, Yue Gao

CoRR, November, 2025

Sample Efficient Experience Replay in Non-stationary Environments.

Tianyang Duan, Zongyuan Zhang, Songxiao Guo, Yuanye Zhao, Zheng Lin, Zihan Fang, Yi Liu, Dianxin Luan, Dong Huang, Heming Cui, Yong Cui

CoRR, September, 2025

LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning.

Tianyang Duan, Zongyuan Zhang, Songxiao Guo, Dong Huang, Yuanye Zhao, Zheng Lin, Zihan Fang, Dianxin Luan, Heming Cui, Yong Cui

CoRR, September, 2025

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks.

Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui, Yue Gao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Two Heads are Better than One: Robust Learning Meets Multi-branch Models.

Zongyuan Zhang, Qingwen Bu, Tianyang Duan, Zheng Lin, Yuhao Qing, Zihan Fang, Heming Cui, Dong Huang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective.

Tianyang Duan, Zongyuan Zhang, Zheng Lin, Yue Gao, Ling Xiong, Yong Cui, Hongbin Liang, Xianhao Chen, Heming Cui, Dong Huang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments.

Junming Wang, Zekai Sun, Xiuxian Guan, Tianxiang Shen, Dong Huang, Zongyuan Zhang, Tianyang Duan, Fangming Liu, Heming Cui

IEEE Robotics Autom. Lett., November, 2024

AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments.

Junming Wang, Zekai Sun, Xiuxian Guan, Tianxiang Shen, Zongyuan Zhang, Tianyang Duan, Dong Huang, Shixiong Zhao, Heming Cui

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

New Problems in Active Sampling for Mobile Robotic Online Learning.

Xiuxian Guan, Junming Wang, Zekai Sun, Zongyuan Zhang, Tianyang Duan, Shengliang Deng, Fangming Liu, Heming Cui

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

ROG: A High Performance and Robust Distributed Training System for Robotic IoT.

Xiuxian Guan, Zekai Sun, Shengliang Deng, Xusheng Chen, Shixiong Zhao, Zongyuan Zhang, Tianyang Duan, Yuexuan Wang, Chenshu Wu, Yong Cui, Libo Zhang, Yanjun Wu, Rui Wang, Heming Cui

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021

Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles.

Hongbin Liang, Xiaohui Zhang, Xintao Hong, Zongyuan Zhang, Mushu Li, Guang-Di Hu, Fen Hou

IEEE Trans. Ind. Informatics, 2021

2018

A method for synthesis and optimization for linear nearest neighbor quantum circuits by parallel processing.

Zongyuan Zhang, Zhijin Guan, Hong Zhang, Haiying Ma, Weiping Ding

Quantum Inf. Comput., 2018