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Xin Dong | 董鑫
I am a third-year Ph.D. candidate in Tsinghua
University, supervised by Prof. Yansong Tang.
Prior to that, I obtained a Master's degree in Computer Science and Technology from Ningxia University, where my research focused on face attribute analysis, including face anti-spoofing and facial age estimation, under the supervision of Prof. Hao Liu. I also hold a Bachelor's degree from the School of Computer Science at Sichuan University.
Currently, I am passionate about high-fidelity visual generation, including physical 3D reconstruction and human image generation.
Email /
Github /
Scholar
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News
2025.10: One paper is accepted to ACM TOMM, 2026.
2023.3: One paper is accepted to ICME, 2023.
2022.3: One paper is accepted to ICME, 2022.
2021.7: One paper is accepted to ACM MM, 2021.
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Publications and Preprints
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Enhancing pose-guided human image generation with comprehensive and adjustable 3D control
Xin Dong,
Lihan Zhang,
Aoyang Liu,
Xiaojun Liang,
Yutao Guo,
Yansong Tang
ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), 2026
[paper]
We propose a 3D Pose Conditional Diffusion model (3DPCD) that leverages a human parametric model to integrate comprehensive and adjustable 3D control into forward–backward diffusion steps.
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Joint Statistical and Causal Feature Modulated Face Anti-Spoofing
Xin Dong,
Tao Wang,
Zhendong Li,
Hao Liu
IEEE International Conference on Multimedia and Expo (ICME), 2023
[Paper]
We propose the HFM approach, which integrates statistical and causal feature modulation for stable face anti-spoofing in unseen domains and unseen attacks.
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Meta descent learning for class imbalanced age estimation
Weiwei Cai,
Xin Dong,
Hao Liu
IEEE International Conference on Multimedia and Expo (ICME), 2022
[Paper]
We propose a meta descent learning method (MDL) for class imbalanced age estimation while preserving the relative ordinal information.
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Open Set Face Anti-Spoofing in Unseen Attacks
Xin Dong,
Hao Liu,
Weiwei Cai,
Pengyuan Lv,
Zekuan Yu
ACM International Conference on Multimedia (ACM MM), 2021
[paper]
We propose an end-to-end open set face anti-spoofing (OSFA) approach for unseen attack recognition.
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© Xin Dong | Last updated: May 2026
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