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


NeurIPS
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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

[Arxiv] [Dataset] [Github]

Arxiv
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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

[Arxiv] [Github]

ACM Multimedia 2023
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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

[Arxiv] [Github]

TIP 2022
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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

[Arxiv] [Github]

ACM Multimedia 2022
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Class Gradient Projection For Continual Learning

Cheng Chen, Ji Zhang, Jingkuan Song, Lianli Gao

ACM Multimedia 2022

Keywords: Continual Learning, Gradient Porjection, SVD

[Arxiv] [Github]

🥇 Honors and Awards

  • 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