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.

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Research

I am interested in computer vision, deep learning and machine learning. My recent focus is generative models.

Cost-aware 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



Cost-aware 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



dpg 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




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




graphhop 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




bgnn 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




ajvee 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




Industry Experience
meta Meta
Software Engineer, Machine Learning Intern
May 2021 - August 2021
Google Cloud Tencent AI Lab
Research Intern
May 2019 - August 2019
Service

Journal Reviewer: IEEE TPAMI, IEEE TNNLS, IEEE TKDE, IEEE TNSE, APSIPA.

Conference Reviewer: IJCNN (2025, 2022), ICIP (2022, 2023, 2024), ICASSP.