Foundation Models (LLM Post-Training, Multi-Agent Systems)

• Multi-Agent Systems for Autonomous Driving: Similar as CP, not only multi-agent perception but also multi-agent collaborative decision-making is important for next-generation autonomous driving. Here, LLM/VLM is leveraged as a powerful tool to build the multi-agent collaborative decision-making systems.
• Large Pre-trained Models Task Adaptation: Adapting pre-trained LMs to specific tasks, such as autonomous driving and collaborative decision-making, better and more efficiently.

Multi-Agent Autonomous Driving

• Multi-Agent Collaborative Perception (CP): CP can overcome the limitations of single-agent perception systems, such as occlusion and sensing range, by leveraging the information from multiple vehicles.
• Autonomous Driving Security: As CP needs to leverage the information from other vehicles, it expands the system’s attack surface. Therefore, designing defense method is curial for secure CP.

• Mar. 2025 🔥🔥🔥 We launched a new project about Multi-Agent Autonomous Driving! This project will continuously collect papers from recent years in the field of multi-agent autonomous driving and is the most comprehensive repo in this field! Welcome to Star ⭐️ & Contribute! Github Repository
• Feb. 2025 Senkang passed the PhD Qualifying Examination (QE)! He is now a PhD candidate! 🎉🎉🎉
• Jan. 2025 One paper was accepted by The 2025 IEEE International Conference on Robotics and Automation (ICRA'25)! PDF
• Jan. 2025 Our paper accepted by AAAI'25 was selected for Oral Presentation! Congratulations again 🎉!
• Dec. 2024 One paper was accepted by IEEE/ACM Transactions on Networking (ToN)! PDF Code
• Dec. 2024 Congratulations 🎉! One paper was accepted by The 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25), see you in Philadelphia, Pennsylvania, USA 🇺🇸! PDF
• Nov. 2024 One paper was accepted by IEEE Transactions on Intelligent Transportation Systems (TITS), congratulations 🎉!!! PDF
• Nov. 2024 Senkang was awarded the IEEE ComSoc Student Grant to support his conference travel.
• Aug. 2024 One paper was accepted by IEEE Transactions on Mobile Computing (TMC)!
• Jul. 2024 Two papers were accepted by GLOBECOM'24, see you in Cape Town, South Africa 🇿🇦!
• Sep. 2023 Senkang was awarded the Institutional Research Tuition Grant, nearly HK$170,000.
• Jul. 2023 Congratulations to Senkang 🎉, finally moved to Hong Kong 🇭🇰🇭🇰🇭🇰 to start his new career!
• Jun. 2023 Thanks to Prof. Fang’s strong support, Senkang received the InnoHK Award Funding, around HK$900,000 from the Government of the Hong Kong Special Administrative Region to support his research and PhD career.
• Jun. 2022 Senkang graduated from Beijing Institute of Technology. Thanks to all the professors, senior students and friends who helped him in the past four years.
• Dec. 2021 Senkang was awarded the National Scholarship for his top 1% academic performance in the whole department, which is the highest honor for Chinese university students.

^#equal contribution, *corresponding author.

Preprints

1. Preprint Senkang “Forest” Hu, Yanan Ma, Yihang Tao, Zhengru Fang, Zihan Fang, Yiqin Deng, Sam Kwong, Yuguang Fang. “Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge.”
2. Preprint Senkang “Forest” Hu, Yihang Tao, Zihang Fang, Guowen Xu, Yiqin Deng, Sam Kwong, Yuguang Fang. “CP-Guard+: A New Paradigm for Malicious Agent Detection and Defense in Collaborative Perception.”
3. Preprint Senkang “Forest” Hu, Zhengru Fang, Zihan Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang, Sam Kwong. “AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Multi-Lane Merging.”
4. Preprint Senkang “Forest” Hu, Zhengru Fang, Zihan Fang, Xianhao Chen, Yuguang Fang. “AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning.” Blog
5. Preprint Senkang “Forest” Hu, Zhengru Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang. “Collaborative Perception for Autonomous Driving: Challenges, Possible Solutions and Opportunities.”
6. Preprint Yanan Ma, Senkang “Forest” Hu, Zhengru Fang, Yun Ji, Yiqin Deng, Yuguang Fang. “Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving.”
7. Preprint Yihang Tao^#, Senkang “Forest” Hu^#, Yue Hu, Haonan An, Hangcheng Cao, Yuguang Fang. “GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection.”
8. Preprint Zihan Fang, Zheng Lin, Senkang “Forest” Hu, Hangcheng Cao, Xianhao Chen, and Yuguang Fang. “IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers.”

Accepted Papers in 2025

9. ICRA'25 Yihang Tao, Senkang “Forest” Hu, Zhengru Fang, Yuguang Fang. “Direct-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention.” The 2025 IEEE International Conference on Robotics & Automation, 19–23 May, Atlanta, USA. CCF-B

Accepted Papers in 2024

10. AAAI'25 Senkang “Forest” Hu^#, Yihang Tao^#, Guowen Xu, Yiqin Deng, Xianhao Chen, Yuguang Fang, Sam Kwong. “CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird’s Eye View Perception.” The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, USA, February 2025. Oral CCF-A
11. TITS'24 Senkang “Forest” Hu, Zhengru Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang, and Sam Kwong. “Toward Full-scene Domain Generalization in Multi-agent Collaborative Bird’s Eye View Segmentation for Connected and Autonomous Driving.” IEEE Transactions on Intelligent Transportation Systems. CCF-B Q1 Top
12. GLOBECOM'24 Senkang “Forest” Hu, Zhengru Fang, Haonan An, Guowen Xu, Yuan Zhou, Xianhao Chen, and Yuguang Fang. “Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving”, IEEE Global Communications Conference, Cape Town, South Africa, December 2024.
13. ToN'24 Zhengru Fang, Senkang “Forest” Hu, Jingjing Wang, Yiqin Deng, Xianhao Chen, Yuguang Fang. “Prioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics.” IEEE/ACM Transactions on Networking. Code CCF-A
14. TMC'24 Zhengru Fang, Senkang “Forest” Hu, Haonan An, Yuang Zhang, Jingjing Wang, Hangcheng Cao, Xianhao Chen, Yuguang Fang. “PACP: Priority-Aware Collaborative Perception for Connected and Autonomous Vehicles.” IEEE Transactions on Moblie Computing. CCF-A
15. GLOBECOM'24 Zhengru Fang, Senkang “Forest” Hu, Yuguang Fang, et al. “PIB: Prioritized Information Bottleneck Framework for Collaborative Edge Video Analytics.” IEEE Global Communications Conference, Cape Town, South Africa, December 2024. Code