🧑 About Me

I am a fourth-year Ph.D. student at Shanghai Jiao Tong University, where I began my doctoral studies in September 2022 and expect to graduate in June 2027. Previously, I received my bachelor’s degree from Xidian University (Sep. 2018–Jun. 2022). During my undergraduate years, I received 10 national awards and more than 15 provincial- and ministerial-level awards. I also led two national innovation projects and obtained three software copyrights.

My research interests include multimodal large language models, parameter-efficient fine-tuning, Mixture-of-Experts (MoE) architectures, and medical imaging. If you are interested in academic collaboration, please feel free to contact me at jackchenruan@sjtu.edu.cn.

My long-term collaborators at Shanghai Jiao Tong University include Suncheng Xiang, Mingye Xie, and Jingsheng Gao. Beyond these long-term collaborations, I have also built research and industry experience across several institutions. I was previously advised by Yu Cheng and Xiaoye Qu at Shanghai AI Lab. At the Shanghai Institute for Algorithmic Innovation, I worked under the guidance of Zhiyu Li. I also had the opportunity to work with Ye Guo at Xiaohongshu. During my time at ByteDance, I was fortunate to be mentored by De Cai, Fubang Zhao, and Yangyang Kang.

In my free time, I enjoy swimming, unarmed fitness, music and guitar.

🔥 News

  • [02/2026] One papers get accepted by IEEE TMM.
  • [11/2025] One papers get accepted by AAAI 2026.
  • [07/2025] One papers get accepted by ACM MM 2025.
  • [06/2025] One papers get accepted by ICCV 2025.
  • [12/2024] Two papers get accepted by AAAI 2025.
  • [12/2024] I will serve as a reviewer for ICML 2025.
  • [10/2024] I will serve as a reviewer for AISTATS 2025.
  • [09/2024] I will serve as a reviewer for IEEE Transactions on Medical Imaging.
  • [09/2024] One paper gets accepted by Machine Learning Journal.
  • [09/2024] One paper gets accepted by EMNLP 2024.
  • [09/2024] I will serve as a reviewer for ICLR 2025.
  • [08/2024] I will serve as a reviewer for IEEE TNNLS.
  • [08/2024] I will serve as a reviewer for ICASSP 2025.
  • [07/2024] I will serve as a reviewer for PLOS ONE.
  • [07/2024] One paper gets accepted by ACM MM 2024.
  • [06/2024] I will serve as a reviewer for NeurIPS 2024.
  • [05/2024] I will serve as a reviewer for ACM MM 2024.
  • [04/2024] I will serve as a reviewer for MICCAI 2024.
  • [03/2024] One paper gets accepted by ICME 2024.
  • [03/2024] I will serve as a TPC member for IJCNN 2024.
  • [03/2024] I will serve as a reviewer for IEEE Journal of Biomedical and Health Informatics.
  • [02/2024] I will serve as a reviewer for ICME 2024.
  • [12/2023] One paper gets accepted by ICASSP 2024.
  • [12/2023] One paper gets accepted by AAAI 2024.
  • [10/2023] I will serve as a reviewer for ICASSP 2024.
  • [07/2023] I will serve as a reviewer for NeuroComputing.
  • [05/2023] One paper gets early accepted by MICCAI 2023.
  • [04/2023] I will serve as a reviewer for MICCAI 2023.
  • [10/2022] One paper gets accepted by BIBM 2022.

📝 Selected Publications

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MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios

Jiacheng Ruan, Wenzhen Yuan, Zehao Lin, Ning Liao, Zhiyu Li, Feiyu Xiong, Ting Liu and Yuzhuo Fu
AAAI 2025. (CCF-A)

📄 Paper 💻 Project

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GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction

Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Suncheng Xiang, Zefang Yu, Ting Liu, Yuzhuo Fu and Xiaoye Qu
ACM Multimedia 2024. (CCF-A)

📄 Paper 💻 Project

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LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training

Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Main), 2024. (CCF-B)

📄 Paper 💻 Project

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iDAT: inverse Distillation Adapter-Tuning

Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Daize Dong, Suncheng Xiang, Ting Liu, Yuzhuo Fu
2024 IEEE International Conference on Multimedia and Expo (ICME), 2024. (CCF-B)

📄 Paper 💻 Project

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VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Jiacheng Ruan, Suncheng Xiang
arXiv preprint arXiv:2402.02491, 2024.

📄 Paper 💻 Project

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LAMM: Label Alignment for Multi-Modal Prompt Learning

Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A)

📄 Paper 💻 Project

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EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation

Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu
The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. (CCF-B)

📄 Paper 💻 Project

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MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation

Jiacheng Ruan, Suncheng Xiang, Mingye Xie, Ting Liu, Yuzhuo Fu
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. (CCF-B)

📄 Paper 💻 Project

🎖 Honors and Awards

  • National Scholarship in 2025
  • Yang Jiachi Scholarship in 2024
  • Outstanding Graduate of Shaanxi Province in 2022
  • Special Merit Scholarship for Graduates in 2022
  • Xiaomi Scholarship in 2021
  • National Scholarship in 2021
  • Huiding Science and Technology Scholarship in 2020
  • National Scholarship in 2020
  • First-class scholarship in 2019

📖 Educations

  • 2022.09 - Now, Phd Student, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong Univeristy, Shanghai.
  • 2018.09 - 2022.06, Undergraduate Student, School of Microelectronics, Xidian University.

🔧 Services

  • Reviewer for AISTATS 26,AAAI 26,ICML 25,ICLR 25-26,NeurIPS 24-25,ACL ARR 25,ICCV 25,ACM MM 24-25,MICCAI 23-25,ICASSP 23-25,ICME 24
  • Journal Reviewer for IEEE TMI (Outstanding Reviewer),Neurocomputing,IEEE JBHI,IEEE TNNLS,IEEE TIP,IEEE TCVST,IJCV,ESWA,JDIM,EAAI

💬 Teaching

  • 2023.09 - 2023.12, Teaching Assistant, Integrated Circuit Design Practice in Microelectronics, Shanghai Jiao Tong University.
  • 2023.03 - 2023.07, Teaching Assistant, Integrated Hardware Practice in Artificial Intelligence, Shanghai Jiao Tong University.

💻 Internships

  • 2025.06 - 2026.03, ByteDance, Shanghai. Research on foundation models for video safety moderation and video risk-frame selection.

  • 2024.11 - 2025.06, Xiaohongshu Inc., Shanghai. Research on multimodal understanding and multimodal reward models.

  • 2024.01 - 2024.11, Institute for Advanced Algorithms Research, Shanghai. Research on applications of multimodal large language models in camouflaged scenarios.

  • 2023.07 - 2024.01, Shanghai AI Lab, Shanghai. Research on MoE architectures and efficient Transformer pre-training paradigms.