Hi! My name is Kai Guo (郭凯). I’m a master’s student in the XLearning lab, College of Computer Science, Sichuan University, fortunately advised by Assoc Prof. Hao Wang (王浩) and Prof. Xi Peng (彭玺). I also collaborate closely with Prof. Peng Hu (胡鹏). My research interests lie in multimodal foundation models, continual learning, and reinforcement learning. From July to the present in 2026, I worked as a research intern at the Kuaishou Foundation Models Department, where I conducted research on MOPD for LLMs.
🔥 News
- 2025.08: 🎉 Two paper was accepted by IJCAI 2025. Thanks to all coauthors!
📝 Publications
NeuCME: Toward Dynamic Multimodal Continual Learning via Neural Combinatorics of Multiple Experts
Kai Guo, Chuanbin Liu, Peng Hu, Hao Wang, Xi Peng
- This work is the first to propose a unified framework for dynamic multimodal continual learning.
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang
- This work reveals a coupling between neural networks’ “easy-to-hard” preference and the “view consistency vs. specificity”.
- [IJCAI’25] Learning Robust Multi-view Representation Using Dual-masked VAEs, Jiedong Wang, Kai Guo, Peng Hu, Xi Peng, Hao Wang. Code
💻 Experiences
- 2026.07 - present, Research Intern, Foundation Models Department, Kuaishou Technology, Beijing
🎖 Honors and Awards
- 2026.07 First-Class Academic Scholarship, Sichuan University
- 2025.10 National Scholarship (Top 1%)
- 2025.09 Outstanding Student of Sichuan University
- 2024.07 First-Class Academic Scholarship, Sichuan University
- 2024.03 Zili-Zhidong Scholarship
📖 Educations
- 2024.09 - present, Master’s, Sichuan University, Chengdu, China.
- 2020.09 - 2024.06, Undergraduate, Sichuan University, Chengdu, China.
- 2017.09 - 2020.06, Wuyi Middle School, Hebei, China
🙋 Service
- Conference Reviewer: AAAI 2027, ACL 2026, ACML 2026, PAKDD 2026
- Journal Reviewer: ML