Jiang Xin,  Ph.D.
	School of Software Engineering    Beijing Jiaotong University    Address: No. 3 Shangyuancun,Haidian District,Beijing 100044,P.R. China    Email: jiangxin1 AT bjtu.edu.cn

BRIEF BIOGRAPHY

I received my B.Sc., M.Sc. and Ph.D degrees in computer science from Central South University, China, in 2017, 2020 and 2025 respectively. I was fortunate to have Academician Yaozhong Zhang as my advisor during both my master's and Ph.D. studies. During my Ph.D. studies, I served as a visiting Ph.D. student at The Chinese University of Hong Kong for one year and at Tsinghua University for three years. My collaborative supervisors were Professor Guoliang Xing and Academician Shimin Hu.

My research interests include image generation, video understanding, edge intelligence, and operating system.

NEWS

• [Jul. 2025] I have officially joined Beijing Jiaotong University as a Lecturer and Postdoctoral Researcher.
• [Jun. 2025] Our paper, "C^2D: Context-aware Concept Decomposition for Personalized Text-to-image Synthesis", is accepted by IEEE Transactions on Visualization and Computer Graphics!
• [Jun. 2025] Our paper, "Privacy-aware Real-Time Target Person Matting in Multi-Person Scenes Using Dual Encoder-Decoder Networks", is accepted by The Viusal Computer Journal!
• [Nov. 2024] Our paper, "MAML-RAL: Learning Domain-Invariant HOI Rules for Real-Time Video Matting", is accepted by IEEE Transactions on Circuits and Systems for Video Technology!
• [Jun. 2023] I have returned to Tsinghua University and co-advised by Professor Shimin Hu.
• [Jun. 2022] I'm visiting at CUHK.
• [Sep. 2021] I'm visiting at Tsinghua University.

SELECTED PUBLICATIONS [FULL LIST]

Journal & Conference Papers (* denotes Corresponding Author)

1. [Accepted]^New! Jiang Xin,Xiaonan Fang,Xueling Zhu, Ju Ren, Yaoxue Zhang. "C^2D: Context-aware Concept Decomposition for Personalized Text-to-image Synthesis", TVCG.
2. Jiang Xin, Xiaonan Fang, Xueling Zhu, Ruyi Dai, Ju Ren, Yaoxue Zhang, "Privacy-Aware Real-Time Target Person Matting in Multi-Person Scenes Using Dual Encoder-Decoder Networks”, The Visual Computer Journal ".
3. Jiang Xin,Sheng Yue, Ju Ren,Feng Qian, Yaoxue Zhang. "MAML-RAL: Learning Domain-Invariant HOI Rules for Real-Time Video Matting",IEEE Transactions on Circuits and Systems for Video Technology
4. [MobiCom'24] X, Shuai X, Li Y, Pan L, Zhang X, Fu H, Cheng S, Wang X, Cao S, Xin J, Mok H. ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease. InProceedings of the 30th Annual International Conference on Mobile Computing and Networking 2024 May 29 (pp. 404-419).
5. [MobiHoc'21] Y. Sheng, J. Ren*, J. Xin, S. Lin and J. Zhang. “Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning,” ACM MobiHoc 2021, accepted to appear, May 2021.
6. Hufei Yu, Yifeng Liu, Shiwen He, Pei Jiang, Jiang Xin, and Jingxi Wen. "A practical generative adversarial network architecture for restoring damaged character photographs." Neurocomputing 423: 590-600.
7. Jiang, Xin, Yaoxue Zhang, Yan Tang, and Yuan Yang. "Brain differences between men and women: Evidence from deep learning." Frontiers in neuroscience 13 (2019): 185.

PROFESSIONAL ACTIVITIES

Conference Services:

Reviewer of ACM MM24

Journal Reviewer

Reviewer of TMC