Tian Xie
I am a Research Scientist at Meta, Monetization GenAI. I received my Ph.D. in Electrical and
Computer Engineering
at University of Southern California (USC), where I was fortunate to work with C.-C. Jay
Kuo. Before joining USC, I received my B.S. in Physics from Fudan University.
Google Scholar
  
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Research
I am interested in computer vision, deep learning and machine learning. My recent focus is
generative models.
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Learning Flow Fields in Attention for Controllable
Person Image Generation
Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li,
Mengmeng Xu, Juan-Manuel Pérez-Rúa, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He
Computer Vision and Pattern Recognition (CVPR), 2025
project page / code
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Adaptive Caching for Faster Video Generation with Diffusion Transformers
Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Michael S. Ryoo, Tian Xie
arXiv, 2024
project page / code
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Solving General Inverse Problems via Posterior Sampling: A Policy Gradient
Viewpoint
Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
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Label Efficient Regularization
and Propagation for Graph Node Classification
Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
code
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GraphHop: An Enhanced Label
Propagation Method for Node Classification
Tian Xie, Bin Wang, C.-C. Jay Kuo
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
code
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L-BGNN: Layerwise Trained
Bipartite Graph Neural Networks
Tian Xie, Chaoyang He, Xiang Ren, Cyrus Shahabi, C.-C. Jay Kuo
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
code
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Adaptive Joint Estimation of Temporal Vertex and Edge Signals
Yi Yan, Tian Xie, Ercan E. Kuruoglu
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024
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Meta
Software Engineer, Machine Learning Intern
May 2021 - August 2021
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Tencent AI Lab
Research Intern
May 2019 - August 2019
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Service
Journal Reviewer: IEEE TPAMI, IEEE TNNLS, IEEE TKDE, IEEE TNSE, APSIPA.
Conference Reviewer: IJCNN (2025, 2022), ICIP (2022, 2023, 2024), ICASSP.
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