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ORCIDHui Qian 0001
- > Home > Persons > Hui Qian 0001
Publications
- 2025
[j7]Jiahao Xie, Chao Zhang
, Zebang Shen, Hui Qian:
Efficient projection-free online convex optimization using stochastic gradients. Mach. Learn. 114(4): 93 (2025)- [j6]Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian:
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Data Generation. ACM Trans. Multim. Comput. Commun. Appl. 21(3): 85:1-85:29 (2025) - 2024
- [i30]Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian:
Neural Sinkhorn Gradient Flow. CoRR abs/2401.14069 (2024) - 2023
- [c38]Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian:
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. AAAI 2023: 10481-10489 - [c37]Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian:
Towards Optimal Randomized Strategies in Adversarial Example Game. AAAI 2023: 10490-10498 - [c35]Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian:
Robust Graph Dictionary Learning. ICLR 2023 - [i24]Chao Zhang, Hui Qian, Jiahao Xie:
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem. CoRR abs/2304.11653 (2023) - [i23]Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang:
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. CoRR abs/2304.11665 (2023) - [i22]Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai:
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. CoRR abs/2306.06637 (2023) - [i21]Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian:
Towards Optimal Randomized Strategies in Adversarial Example Game. CoRR abs/2306.16738 (2023) - [i20]Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian:
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. CoRR abs/2312.16429 (2023) - 2022
- [c34]Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng:
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. AAAI 2022: 4109-4119 - [c32]Chao Zhang, Zhijian Li, Xin Du, Hui Qian:
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. IJCAI 2022: 4900-4906 - [i19]Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian:
SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. CoRR abs/2202.02797 (2022) - 2021
- [c31]Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian:
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. AAAI 2021: 10842-10850 - [c29]Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng:
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method. IJCAI 2021: 2701-2707 - [i14]Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian:
A Federated Learning Framework for Nonconvex-PL Minimax Problems. CoRR abs/2105.14216 (2021) - [i12]Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian:
Approximating Optimal Transport via Low-rank and Sparse Factorization. CoRR abs/2111.06546 (2021) - [i11]Chao Zhang, Zhijian Li, Hui Qian, Xin Du:
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. CoRR abs/2112.00945 (2021) - 2020
- [c28]Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian:
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. AAAI 2020: 6446-6453 - [c27]Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian:
Aggregated Gradient Langevin Dynamics. AAAI 2020: 6746-6753 - [c26]Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng:
Accelerating Stratified Sampling SGD by Reconstructing Strata. IJCAI 2020: 2725-2731 - [i10]Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng:
Partial Gromov-Wasserstein Learning for Partial Graph Matching. CoRR abs/2012.01252 (2020) - 2019
- [c24]Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian:
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. AISTATS 2019: 2897-2906 - [i9]Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian:
Aggregated Gradient Langevin Dynamics. CoRR abs/1910.09223 (2019) - [i8]Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang:
Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. CoRR abs/1910.09396 (2019) - 2018
- [c22]Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang:
Towards Memory-Friendly Deterministic Incremental Gradient Method. AISTATS 2018: 1147-1156 - [c20]Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou:
JUMP: a Jointly Predictor for User Click and Dwell Time. IJCAI 2018: 3704-3710 - 2017
- [c18]Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang:
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. IJCAI 2017: 2715-2721 - [c17]Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu:
Tensor Completion with Side Information: A Riemannian Manifold Approach. IJCAI 2017: 3539-3545 - 2016
- [i5]Chao Zhang, Zebang Shen, Hui Qian, Tengfei Zhou:
Accelerated Stochastic ADMM with Variance Reduction. CoRR abs/1611.04074 (2016) - [i4]Zebang Shen, Hui Qian, Chao Zhang, Tengfei Zhou:
Accelerated Variance Reduced Block Coordinate Descent. CoRR abs/1611.04149 (2016) - 2014
- [c10]Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang:
Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. AAAI 2014: 2121-2127 - [c7]Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang:
Improving the modified nyström method using spectral shifting. KDD 2014: 611-620
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last updated on 2025-08-10 21:21 CEST by the dblp team
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