Jiang Xin, Ph.D.

Brief Biography

个人简介

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 be advised by Academician Yaoxue Zhang during both my master's and Ph.D. studies. During my Ph.D., I was a visiting Ph.D. student at The Chinese University of Hong Kong for one year and at Tsinghua University for three years, where I worked closely with Professor Guoliang Xing and Academician Shimin Hu.

我于2017年、2020年和2025年在 中南大学 分别获得计算机科学学士、硕士和博士学位。硕士和博士阶段导师均为张尧学院士。 博士期间，我曾在 香港中文大学 以访问博士生身份交流一年，并在 清华大学 交流三年，其间与邢国良教授和胡事民院士密切合作。

My research interests include image generation, 3D Reconstruction, video understanding, edge intelligence.

我的研究兴趣包括图像生成、3D重建、视频理解、边缘智能。

News

新闻动态

• [Jul. 2025] I joined Beijing Jiaotong University as a Lecturer and Siyuan Postdoctoral Fellow.
• [2025] Our paper "C²D: Context-aware Concept Decomposition for Personalized Text-to-Image Synthesis" was accepted by IEEE Transactions on Visualization and Computer Graphics.
• [2025] Our paper "Privacy-Aware Real-Time Target Person Matting in Multi-Person Scenes Using Dual Encoder-Decoder Networks" was accepted by The Visual Computer.
• [Nov. 2024] Our paper "MAML-RAL: Learning Domain-Invariant HOI Rules for Real-Time Video Matting" was accepted by IEEE Transactions on Circuits and Systems for Video Technology.
• [Jun. 2023] I returned to Tsinghua University, where I was co-advised by Professor Shimin Hu.
• [Jun. 2022] I joined CUHK as a visiting Ph.D. student.
• [Sep. 2021] I joined Tsinghua University as a visiting Ph.D. student.

• [2025年7月] 入职北京交通大学软件学院，担任讲师、思源博士后。
• [2025年] 论文 “C²D: Context-aware Concept Decomposition for Personalized Text-to-Image Synthesis” 被 IEEE Transactions on Visualization and Computer Graphics 接收。
• [2025年] 论文 “Privacy-Aware Real-Time Target Person Matting in Multi-Person Scenes Using Dual Encoder-Decoder Networks” 被 The Visual Computer 接收。
• [2024年11月] 论文 “MAML-RAL: Learning Domain-Invariant HOI Rules for Real-Time Video Matting” 被 IEEE Transactions on Circuits and Systems for Video Technology 接收。
• [2023年6月] 返回清华大学继续开展合作研究，并接受胡事民院士联合指导。
• [2022年6月] 赴香港中文大学开展访问博士研究。
• [2021年9月] 赴清华大学开展访问博士研究。

Selected Publications [Full List]

代表性论文 [完整列表]

* denotes corresponding author. For a complete list, please refer to my Google Scholar profile.

* 表示通讯作者。完整论文列表请参见我的 Google Scholar 页面。

Selected Journal Articles

期刊论文

1. New Xiaonan Fang, Zhengfei Ren, Muhan Chang, Jiang Xin*, and Song-Hai Zhang. "Stylized Sketch Synthesis Using Diffusion Priors and Structural Guidance." IEEE Transactions on Visualization and Computer Graphics, under review (major revision).
2. Jiang Xin, Xiaonan Fang, Xueling Zhu, Ju Ren, and Yaoxue Zhang. "C²D: Context-aware Concept Decomposition for Personalized Text-to-Image Synthesis." IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 10, pp. 8814-8827, Oct. 2025.
3. Jiang Xin, Xiaonan Fang, Xueling Zhu, Ruyi Dai, Ju Ren, and Yaoxue Zhang. "Privacy-Aware Real-Time Target Person Matting in Multi-Person Scenes Using Dual Encoder-Decoder Networks." The Visual Computer, vol. 41, pp. 9933-9950, 2025.
4. Jiang Xin, Sheng Yue, Ju Ren, Feng Qian, and Yaoxue Zhang. "MAML-RAL: Learning Domain-Invariant HOI Rules for Real-Time Video Matting." IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 4, pp. 3172-3184, Apr. 2025.
5. 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, vol. 423, pp. 590-600.
6. Jiang Xin, Yaoxue Zhang, Yan Tang, and Yuan Yang. "Brain Differences Between Men and Women: Evidence from Deep Learning." Frontiers in Neuroscience, vol. 13, article 185, 2019.

Selected Conference Papers

会议论文

1. X. Shuai, Y. Li, L. Pan, X. Zhang, H. Fu, S. Cheng, X. Wang, S. Cao, Jiang Xin, and H. Mok. "ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease." In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom), pp. 404-419, 2024.
2. Y. Sheng, J. Ren*, Jiang Xin, S. Lin, and J. Zhang. "Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning." In Proceedings of the ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc), 2021.

Teaching

教学

Professional Activities

学术服务