Biography
Mr. Zhikang Chen obtained his master’s degree from Tsinghua University. His research focuses on continual learning, out-of-distribution generalization, large model reasoning enhancement, and world models, with applications in healthcare. He has contributed to advancing intelligent systems that improve robustness and adaptability in real-world scenarios. In addition to his academic pursuits, he has achieved Level 10 proficiency in the Guzheng, a traditional Chinese musical instrument, demonstrating a strong commitment to both scientific research and the arts.
Google scholar
Research Interests
- Continual Learning
- Out-of-Distribution (OOD) Generalization
- Multimodal Large Language Model (MLLM) Alignment
- Large Language Model (LLM) Reasoning Enhancement
- World Models
Current Research Projects
- Continual Learning for Adaptive Systems — Developing methods that enable models to learn continuously from streaming data without catastrophic forgetting.
- OOD Generalization in Real-World Applications — Designing robust models that maintain performance under distribution shifts, particularly in healthcare settings.
- MLLM Alignment Strategies — Improving the alignment of multimodal large language models with human intent across vision-language tasks.
- LLM Reasoning Enhancement — Enhancing reasoning capabilities of large language models through training strategies and inference-time techniques.
- World Models for Decision Making — Building predictive world models that support planning and reasoning in complex, dynamic environments.
