| Unsupervised adversarially-robust representation learning on graphs J Xu, Y Yang, J Chen, X Jiang, C Wang, J Lu, Y Sun Proceedings of the 36th Conference on Artificial Intelligence (AAAI), 2022 | 26 | 2022 |
| Bregman primal–dual first-order method and application to sparse semidefinite programming X Jiang, L Vandenberghe Computational Optimization and Applications 81, 127-159, 2022 | 16 | 2022 |
| Consolidating kinematic models to promote coordinated mobile manipulations Z Jiao, Z Zhang, X Jiang, D Han, SC Zhu, Y Zhu, H Liu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 14 | 2021 |
| Blindfolded attackers still threatening: Strict black-box adversarial attacks on graphs J Xu, Y Sun, Y Jiang, Xin, Wang, C Wang, J Lu, Y Yang Proceedings of the 36th Conference on Artificial Intelligence (AAAI), 2022 | 10 | 2022 |
| Bregman three-operator splitting methods X Jiang, L Vandenberghe Journal of Optimization Theory and Applications 196 (3), 936-972, 2023 | 7 | 2023 |
| Minimum rank positive semidefinite matrix completion with chordal sparsity pattern X Jiang University of California, Los Angeles, 2017 | 4 | 2017 |
| Better with less: A data-active perspective on pre-training graph neural networks J Xu, R Huang, X Jiang, Y Cao, C Yang, C Wang, Y Yang 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 3 | 2023 |
| On graphs with finite-time consensus and their use in gradient tracking EDH Nguyen, X Jiang, B Ying, CA Uribe arXiv preprint, arXiv:2311.01317, 2023 | 2 | 2023 |
| Query-free black-box adversarial attacks on graphs J Xu, Y Sun, X Jiang, Y Wang, Y Yang, C Wang, J Lu arXiv e-prints, arXiv: 2012.06757, 2020 | 2* | 2020 |
| Sparse factorization of the square all-ones matrix of arbitrary order X Jiang, EDH Nguyen, CA Uribe, B Ying arXiv preprint arXiv:2401.14596, 2024 | 1 | 2024 |
| A globally convergent difference-of-convex algorithmic framework and application to log-determinant optimization problems C Yao, X Jiang arXiv preprint arXiv:2306.02001, 2023 | 1 | 2023 |
| Primal-dual proximal optimization algorithms with Bregman divergences X Jiang University of California, Los Angeles, 2022 | 1 | 2022 |
| Chordal-GCN: Exploiting sparsity in training large-scale graph convolutional networks X Jiang, K Cheng, S Jiang, Y Sun | 1 | 2019 |
| Accelerating gradient tracking with periodic global averaging S Feng, X Jiang arXiv preprint arXiv:2403.11293, 2024 | | 2024 |
| Inexact proximal splitting methods for Euclidean distance matrix optimization X Jiang, C Yao 2024 INFORMS Optimization Society (IOS) Conference, 2024 | | 2024 |
| Measuring task similarity and its implication in fine-tuning graph neural networks R Huang, J Xu, X Jiang, C Pan, Z Yang, C Wang, Y Yang Proceedings of the 38th Conference on Artificial Intelligence (AAAI), 2024 | | 2024 |
| Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization FE Curtis, X Jiang, Q Wang arXiv preprint arXiv:2308.03687, 2023 | | 2023 |
| Minimum-rank positive semidefinite matrix completion with chordal patterns and applications to semidefinite relaxations X Jiang, Y Sun, MS Andersen, L Vandenberghe Applied Set-Valued Analysis and Optimization 5 (2), 265-283, 2023 | | 2023 |
Jiarong XuAssistant Professor, Fudan UniversityVerified email at fudan.edu.cn
