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

Research

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

	OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory Zhaochong An, Menglin Jia, Haonan Qiu, Zijian Zhou, Xiaoke Huang, Zhiheng Liu, Weiming Ren Kumara Kahatapitiya, Ding Liu, Sen He, Chenyang Zhang, Tao Xiang, Fanny Yang, Serge Belongie, Tian Xie arXiv, 2025 project page / code
	Mixture of States: Routing Token-Level Dynamics for Multimodal Generation Haozhe Liu, Ding Liu, Mingchen Zhuge, Zijian Zhou, Tian Xie, Sen He, Yukang Yang, Shuming Liu, Yuren Cong, Jiadong Guo, Hongyu Xu, Ke Xu, Kam-Woh Ng, Juan C. Pérez, Juan-ManuelPérez-Rúa, Tao Xiang, Wei Liu, Shikun Liu, Jürgen Schmidhuber (core contributor) arXiv, 2025 project page / code
	Scaling Zero-Shot Reference-to-Video Generation Zijian Zhou, Shikun Liu, Haozhe Liu, Haonan Qiu, Zhaochong An, Weiming Ren, Zhiheng Liu, Xiaoke Huang, Kam Woh Ng, Tian Xie, Xiao Han, Yuren Cong, Hang Li, Chuyan Zhu, Aditya Patel, Tao Xiang, Sen He arXiv, 2025 project page / code
	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
	Adaptive Caching for Faster Video Generation with Diffusion Transformers Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Michael S. Ryoo, Tian Xie International Conference on Computer Vision (ICCV), 2025 project page / code
	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: 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
	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
	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 Software Engineer, Machine Learning Intern May 2021 - August 2021
	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.