Hi there, I am a second-year computer science Ph.D. student at University of Electronic Science and Technology of China (UESTC), advised by Prof. Jingkuan Song and Prof. Lianli Gao. Before that, I obtained my bachelor’s degree at Southwest Petroleum University. Then, I began to complete my master’s degree in 2020 at UESTC and transferred to pursue my Ph.D. degree in 2022.
My research interest includes Continual Leanring in Computer Vision. Now the focus of my research is mainly on investigating the behavior of Multimodel Large Language Model in Continual Learning paradigm.
🔥 News
- 2024.10: 🎉 One paper was accepted by NeurIPS 2024.
- 2023.10: 🎉 Received National Scholarship Award.
- 2023.07: 🎉 One paper was accepted by ACM Multimedia 2023.
- 2022.07: 🎉 One paper was accepted by IEEE Transactions on Image Processing (TIP).
- 2022.07: 🎉 One paper was accepted by ACM Multimedia 2022.
🎓 Educations
- 2022.09 - Now, Ph.D. Candidate,
University of Electronic Science and Technology of China, School of Computer Science and Engineering, Computer Science and Technology, Chengdu, China - 2020.09 - 2022.06, Master, University of Electronic Science and Technology of China, School of Computer Science and Engineering, Computer Science and Technology, Chengdu, China
- 2010.09 - 2014.06, Bachelor,
Southwest Petroleum University, School of Chemistry & Chemical Engineering, Security Engineering, Chengdu, China.
📝 Publications
[JANUS-LORA: A Balanced Low-Rank Adaptation for Continual Learning]
Cheng Chen, Pengpeng Zeng, Yuyu Guo, Jingkuan Song, Heng Tao Shen, Lianli Gao
Submitted to ICML 2026
Keywords: Continual Learning, LoRA, Gradient Porjection
[From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion]
Cheng Chen (Equal First Author), Yuyu Guo, Pengpeng Zeng, Jingkuan Song, Peng Di, Hang Yu, Lianli Gao
Submitted to ECCV 2026
Keywords: Vision Fusion, Instruction Tuning, Multimodel Large Language Model
[VLZip: Unified Visual and Textual Compression for Interleaved Long-Context Modeling]
Yuqi Zhang, Cheng Chen(Equal First Author), Yuyu Guo, Wenjie Yang, Lingchen Meng, Peng Di, Hang Yu, Zuxuan Wu, Yu-Gang Jiang
Submitted to ECCV 2026
Keywords: Ultra-long, interleaved image-text, Instruction Tuning, Multimodel Large Language Model
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
Cheng Chen, Junchen Zhu, Xu Luo, Hengtao Shen, Lianli Gao, Jingkuan Song.
NeurIPS 2024 Datasets and Benchmarks
Keywords: Continual Learning, Instruction Tuning, Multimodel Large Language Model
Towards Redundancy-Free Sub-networks in Continual Learning
Cheng Chen, Jingkuan Song, LianLi Gao, Heng Tao Shen
Arxiv 2023
Keywords: Continual Learning, Information Bottleneck, SVD
CUCL: Codebook for Unsupervised Continual Learning
Cheng Chen, Jingkuan Song, Xiaosu Zhu, Junchen Zhu, Lianli Gao, Hengtao Shen
ACM Multimedia 2023
Keywords: Continual Learning, Unsupervised Learning, Vector Quantization
Continual Referring Expression Comprehension via Dual Modular Memorization
Heng Tao Shen, Cheng Chen, Peng Wang, Lianli Gao, Meng Wang, Jingkuan Song
IEEE Transactions on Image Processing
Keywords: Continual Learning, Visual Grounding, Rehearsal
Class Gradient Projection For Continual Learning
Cheng Chen, Ji Zhang, Jingkuan Song, Lianli Gao
ACM Multimedia 2022
Keywords: Continual Learning, Gradient Porjection, SVD
💼 Internships
- 2025.06 - 2026.01, Research Intern, Ant Group, Multimodal Large Language Models
Built a 280K+ token ultra-long-context dataset from videos and documents for long-range reasoning, proposed Cross-Layer Injection (CLI) for many-to-many vision-language fusion, and achieved state-of-the-art results on 18 benchmarks for fine-grained perception.
🥇 Honors and Awards
- 2025 Sichuan Computer Federation (SCF) Annual Outstanding Student Paper Award, SCF
- 2023 National Scholarship, UESTC
- 2023 Outstanding Graduate Student Award, UESTC
- 2023 Academic First Prize Scholarship, UESTC
- 2022 Academic Second Prize Scholarship, UESTC, UESTC
- 2021 Academic Second Prize Scholarship, UESTC, UESTC