Jiaxun Cui

According to our database, Jiaxun Cui authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Design and verification of a robust near-memory computing architecture for image fusion tasks.

Aibin Yan, Han Bao, Jiaxun Cui, Haroon Waris, Jinpeng Li, Xiaoqing Wen

Microelectron. J., 2026

2025

Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input.

Zifan Xu, Myoungkyu Seo, Dongmyeong Lee, Hao Fu, Jiaheng Hu, Jiaxun Cui, Yuqian Jiang, Zhihan Wang, Anastasiia Brund, Joydeep Biswas, Peter Stone

CoRR, December, 2025

Learning a robust multiagent driving policy for traffic congestion reduction.

Yulin Zhang, William Macke, Jiaxun Cui, Sharon Hornstein, Daniel Urieli, Peter Stone

Neural Comput. Appl., November, 2025

SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation.

Michael J. Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone

CoRR, September, 2025

A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon.

Cameron Angliss, Jiaxun Cui, Jiaheng Hu, Arrasy Rahman, Peter Stone

CoRR, June, 2025

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork.

Caroline Wang, Arrasy Rahman, Jiaxun Cui, Yoonchang Sung, Peter Stone

CoRR, May, 2025

Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play.

Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro Gabriele Allievi, Hang Qiu, Peter Stone

CoRR, May, 2025

2024

Communication and Generalization in Multi-Agent Learning.

Jiaxun Cui

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents.

Muhammad Rahman, Jiaxun Cui, Peter Stone

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents.

Arrasy Rahman, Jiaxun Cui, Peter Stone

CoRR, 2023

MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection.

Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles.

Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction.

Yulin Zhang, William Macke, Jiaxun Cui, Daniel Urieli, Peter Stone

CoRR, 2021

Scalable Multiagent Driving Policies for Reducing Traffic Congestion.

Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021