Tian Xie (解添)

Meta, Monetization GenAI
1 Hacker Way
Menlo Park, CA

Email: tianxie143[at]gmail.com

Biography

I am a research scientist at Meta Platforms, Inc. I received my Ph.D. in Electrical and Computer Engineering at the University of Southern California (USC) advised by Prof. C.-C. Jay Kuo, and M.S. degree in Computer Science at USC in 2020. Before that, I received my B.S. degree in Physics from Fudan University in 2017.

Diffusion models / Generative models.

Machine learning for graph-structured data.

Graph signal processing.

Semi-supervised learning.

Data mining.

Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Michael S. Ryoo, Tian Xie
Adaptive Caching for Faster Video Generation with Diffusion Transformers
arXiv, 2024
[Paper] [Code]
Yi Yan, Tian Xie, Ercan E. Kuruoglu
Adaptive Joint Estimation of Temporal Vertex and Edge Signals
arXiv, 2024
[Paper] [Code]

Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai
Solving General Inverse Problems via Posterior Sampling: A Policy Gradient Viewpoint
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
[Paper] [Code]
Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai
Solving Noisy Inverse Problems via Posterior Sampling: A Policy Gradient View-Point
Workshop on The Symbiosis of Deep Learning and Differential Equations (DLDE) III, NeurIPS, 2023
[Paper] [Code]
Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo
Label Efficient Regularization and Propagation for Graph Node Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[Paper] [Code]
Tian Xie, Bin Wang, C.-C. Jay Kuo
GraphHop: An Enhanced Label Propagation Method for Node Classification
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
[Paper] [Code]
Tian Xie, Chaoyang He, Xiang Ren, Cyrus Shahabi, C.-C. Jay Kuo
L-BGNN: Layerwise Trained Bipartite Graph Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
[Paper] [Code]

Meta Platforms, Inc.
Software Engineer Intern, Menlo Park, United States, 2021.5 - 2021.8
Tencent AI Lab
Research Intern, Shenzhen, China, 2019.7 - 2019.9

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

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

INF-552: Machine Learning for Data Informatics - Fall 2018, Spring 2019
Teaching Assistant (TA)
CSCI-570: Analysis of Algorithms - Fall 2019
Teaching Assistant (TA)
EE-542: Internet and Cloud Computing - Fall 2020
Teaching Assistant (TA)