Huang Songjun,  Ph.D., Associate Professor/Doctoral Supervisor, "Tang Aoqing Young Scholar" at Jilin University.

His primary research focuses on multi-agent systems and collective intelligence in transportation. He has participated in six research projects funded by the U.S. National Science Foundation (NSF). As first author or corresponding author, he has published over 10 papers in high-level international journals and conference proceedings. He has received multiple research awards, including the Best Paper Award at an IEEE international conference, a Top 12 placement in the T‑Challenge International Competition, and ESI Global Hot Paper and Highly Cited Paper designations.

Primary Research Interests:

• Cooperative control strategies for multi-agent systems; collective intelligence decision-making and planning in transportation

• Embodied intelligence; task chain planning based on embodied agents

• Development of World Models characterizing traffic interaction patterns

• Vision-Language Models (VLM) and Vision-Language-Action (VLA) models based on environmental perception and situational awareness

• Generative artificial intelligence for enhanced system decision-making and reasoning capabilities

• Development of multi-agent control strategies based on third-generation neural networks such as Spiking Neural Networks (SNN) and Liquid Neural Networks (LNN)

• End-to-end autonomous driving algorithms; active generation of long-tail scenarios

Group and Admissions Information:
The Vehicle Control and Intelligence Laboratory (VCI) at Jilin University was established in 2010. The team is led by Professor Zhu Bing and focuses on frontier research in automotive intelligence technologies, equipped with world-class full-stack platforms for intelligent vehicle technology R&D and testing. The team has cultivated four Top 10 Graduate Students of Jilin University and five Top 10 Undergraduate Students of Jilin University, with more than 30 recipients of the National Scholarship. It has been awarded two doctoral student research grants from the National Natural Science Foundation of China. Graduates have received three Outstanding Doctoral Dissertations from the China Society of Automotive Engineers, two Outstanding Doctoral Dissertations of Jilin Province, three Outstanding Doctoral Dissertations of Jilin University, six Outstanding Master's Theses of Jilin Province, and fourteen Outstanding Master's Theses of Jilin University. The team has also been granted over 30 student innovation projects and has won five national second prizes and one national third prize in the "Challenge Cup" Extracurricular Academic Science and Technology Competition, along with two provincial special prizes and five provincial first prizes. Alumni are now employed at prestigious universities such as Jilin University and Chang'an University, as well as leading companies including FAW, SAIC, GAC, Huawei, BYD, Baidu, DJI, NIO, Li Auto, and XPENG.

I recruit at least three master's students and one doctoral student each year from majors including Vehicle Engineering, Artificial Intelligence, Computer Science, Instrumentation and Electronics, Mathematics, and Communication Engineering. Applicants are expected to demonstrate strong teamwork, a spirit of innovation and perseverance, and good communication skills. A solid programming foundation in Python/PyTorch, Matlab/Simulink, and C++, along with some experience in autonomous driving simulation toolchains, is desirable. Familiarity with theories and methods in multi-agent systems, autonomous driving, reinforcement learning, meta-learning, world models, generative AI, and embodied intelligence is preferred. Candidates with relevant project experience, publications, or competition records will be given priority. Excellent doctoral and master's candidates from home and abroad are warmly welcome to join!

Contact Information:
Email: songjun_huang@jlu.edu.cn
Address: Room 803, Automotive Engineering Building, Nanling Campus, Jilin University, 5988 Renmin Street, Nanguan District, Changchun, Jilin Province, China