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Xin Jiang
Assistant Professor, Industrial and Systems Engineering, University of Houston
Joined
July 2019
Names
Xin Jiang
(Preferred)
,
XIN JIANG
Emails
****@ucla.edu
(Confirmed)
,
****@lehigh.edu
(Confirmed)
,
****@cornell.edu
(Confirmed)
,
****@uh.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
ORCID
Career & Education History
Assistant Professor
Industrial and Systems Engineering,
University of Houston
(uh.edu)
2025
–
Present
Postdoc
Operations Research and Information Engineering,
Cornell University
(cornell.edu)
2024
–
2025
Postdoc
Industrial and Systems Engineering,
Lehigh University
(lehigh.edu)
2022
–
2024
PhD student
Electrical and Computer Engineering,
University of California, Los Angeles
(ucla.edu)
2017
–
2022
Advisors, Relations & Conflicts
Postdoc Advisor
Adrian Lewis
2024
–
2025
Postdoc Advisor
Frank Curtis
2022
–
2024
PhD Advisor
Lieven Vandenberghe
2017
–
2022
Expertise
Graph neural networks
2019
–
Present
Optimization
2015
–
Present
Publications
Local linear convergence of the alternating direction method of multipliers for semidefinite programming under strict complementarity
Shucheng Kang
,
Xin Jiang
,
Heng Yang
OpenReview Archive Direct Upload
Readers:
Everyone
PEPFlow: A Python Library for the Workflow of Performance Estimation of Optimization Algorithms
Jaewook J. Suh
,
Bicheng Ying
,
Xin Jiang
,
Edward Duc Hien Nguyen
ScaleOPT Poster
Readers:
Everyone
Bregman primal–dual first-order method and application to sparse semidefinite programming
Xin Jiang
,
Lieven Vandenberghe
Computational Optimization and Applications
Readers:
Everyone
Bregman Three-Operator Splitting Methods
Xin Jiang
,
Lieven Vandenberghe
Journal of Optimization Theory and Applications
Readers:
Everyone
Almost-Sure Convergence of Iterates and Multipliers in Stochastic Sequential Quadratic Optimization
Frank Edward Curtis
,
Xin Jiang
,
Qi Wang
Journal of Optimization Theory and Applications
Readers:
Everyone
Consolidating kinematic models to promote coordinated mobile manipulations
Ziyuan Jiao
,
Zeyu Zhang
,
Xin Jiang
,
David K. Han
,
Song-Chun Zhu
,
Yixin Zhu
,
Hangxin Liu
OpenReview Archive Direct Upload
Readers:
Everyone
Improved Stochastic Controlled Averaging for Distributed and Federated Learning
Jiaxin Liu
,
Xin Jiang
Submitted to ICLR 2025
Readers:
Everyone
Extracting Training Data from Molecular Pre-trained Models
Renhong Huang
,
Jiarong Xu
,
Zhiming Yang
,
Xiang Si
,
Xin Jiang
,
Hanyang Yuan
,
Chunping Wang
,
Yang Yang
NeurIPS 2024 poster
Readers:
Everyone
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu
,
Renhong Huang
,
XIN JIANG
,
Yuxuan Cao
,
Carl Yang
,
Chunping Wang
,
Yang Yang
NeurIPS 2023 poster
Readers:
Everyone
Better with Less: Data-Active Pre-training of Graph Neural Networks
Jiarong Xu
,
Renhong Huang
,
XIN JIANG
,
Yuxuan Cao
,
Carl Yang
,
Chunping Wang
,
Yang Yang
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
Co-Authors
Bicheng Ying
Carl Yang
Chunping Wang
David K. Han
Edward Duc Hien Nguyen
Frank Edward Curtis
Hangxin Liu
Hanyang Yuan
Heng Yang
Jaewook J. Suh
Jiarong Xu
Jiaxin Liu
Lieven Vandenberghe
Qi Wang
Renhong Huang
Shucheng Kang
Song-Chun Zhu
Xiang Si
Yang Yang
Yixin Zhu
Yuxuan Cao
Zeyu Zhang
Zhiming Yang
Ziyuan Jiao