Xin Jiang

Orcid: 0000-0003-1231-8529

Affiliations:
  • University of Houston, Houston, TX, USA


According to our database1, Xin Jiang authored at least 13 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Almost-Sure Convergence of Iterates and Multipliers in Stochastic Sequential Quadratic Optimization.
J. Optim. Theory Appl., February, 2025

Sparse Factorization of the Square All-Ones Matrix of Arbitrary Order.
SIAM J. Matrix Anal. Appl., 2025

On Graphs with Finite-Time Consensus and Their Use in Gradient Tracking.
SIAM J. Optim., 2025

2024
Single-Loop Deterministic and Stochastic Interior-Point Algorithms for Nonlinearly Constrained Optimization.
CoRR, 2024

Extracting Training Data from Molecular Pre-trained Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Can Modifying Data Address Graph Domain Adaptation?
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Bregman Three-Operator Splitting Methods.
J. Optim. Theory Appl., March, 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Bregman primal-dual first-order method and application to sparse semidefinite programming.
Comput. Optim. Appl., 2022

Unsupervised Adversarially Robust Representation Learning on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Query-free Black-box Adversarial Attacks on Graphs.
CoRR, 2020


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