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Hui Qian 0001
Person information
- affiliation: Zhejiang University, College of Computer Science, Hangzhou, China
Other persons with the same name
- Hui Qian 0002 — Fuzhou University, College of Physics and Information Engineering, China
- Hui Qian 0003 — Shanghai Jiao Tong University, State Key Laboratory of Ocean Engineering, China
- Hui Qian 0004 — Changzhou University, School of Information Science and Engineering, China
- Hui Qian 0005 — Zhengzhou University, College of Civil Engineering, China
- Hui Qian 0006 — Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China
- Hui Qian 0007 — Tongji University, College of Electronic and Information Engineering, Shanghai, China
- Hui Qian 0009 — Chang'an University, School of Environmental Sciences and Engineering, Xi'an, China
- Hui Qian 0010 — Shanghai-Fanuc Robotics Co. Ltd., China
- Hui Qian 0011 — North China University of Science and Technology, College of Artificial Intelligence, Tangshan, China
- Hui Qian 0012 — Shenyang Aerospace University, School of Computer Science, China
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2020 – today
- 2024
- [j5]Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian:
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. Entropy 26(8): 679 (2024) - [c39]Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian:
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. AAAI 2024: 15466-15473 - [i30]Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian:
Neural Sinkhorn Gradient Flow. CoRR abs/2401.14069 (2024) - [i29]Qian Feng, Hanbin Zhao, Chao Zhang, Jiahua Dong, Henghui Ding, Yu-Gang Jiang, Hui Qian:
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. CoRR abs/2407.03813 (2024) - [i28]Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian:
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. CoRR abs/2407.15661 (2024) - [i27]Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian:
TextToucher: Fine-Grained Text-to-Touch Generation. CoRR abs/2409.05427 (2024) - [i26]Qian Feng, Dawei Zhou, Hanbin Zhao, Chao Zhang, Hui Qian:
LW2G: Learning Whether to Grow for Prompt-based Continual Learning. CoRR abs/2409.18860 (2024) - [i25]Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li:
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. CoRR abs/2410.07273 (2024) - 2023
- [j4]Yuda Song, Zhuqing He, Hui Qian, Xin Du:
Vision Transformers for Single Image Dehazing. IEEE Trans. Image Process. 32: 1927-1941 (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 - [c36]Jiahao Li, Hui Qian, Xin Du:
SemSCo: Semantic Frequency Domain Scan Context for LiDAR-Based Place Recognition. ICAR 2023: 107-112 - [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
- [j3]Yuwan Gu, Qiuyuan Yang, Zhitao Zhu, Shoukun Xu, Hui Qian:
Research on Obstacle Avoidance Method of Robot Based on Region Location. J. Circuits Syst. Comput. 31(8): 2250144:1-2250144:22 (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 - [c33]Yuda Song, Hui Qian, Xin Du:
Multi-Curve Translator for High-Resolution Photorealistic Image Translation. ECCV (15) 2022: 126-143 - [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) - [i18]Yuda Song, Hui Qian, Xin Du:
Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation. CoRR abs/2203.07756 (2022) - [i17]Yuda Song, Zhuqing He, Hui Qian, Xin Du:
Vision Transformers for Single Image Dehazing. CoRR abs/2204.03883 (2022) - [i16]Yuda Song, Yang Zhou, Hui Qian, Xin Du:
Rethinking Performance Gains in Image Dehazing Networks. CoRR abs/2209.11448 (2022) - [i15]Yang Zhou, Yuda Song, Hui Qian, Xin Du:
ClassPruning: Speed Up Image Restoration Networks by Dynamic N: M Pruning. CoRR abs/2211.05488 (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 - [c30]Yuda Song, Hui Qian, Xin Du:
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. ICCV 2021: 4106-4115 - [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) - [i13]Yuda Song, Hui Qian, Xin Du:
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. CoRR abs/2107.12898 (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)
2010 – 2019
- 2019
- [c25]Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian:
Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS 2019: 2868-2876 - [c24]Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian:
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. AISTATS 2019: 2897-2906 - [c23]Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi:
Hessian Aided Policy Gradient. ICML 2019: 5729-5738 - [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 - [c21]Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian:
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. ICML 2018: 4631-4640 - [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 - [i7]Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian:
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. CoRR abs/1805.09969 (2018) - 2017
- [c19]Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Song Wang:
Loosecut: Interactive image segmentation with loosely bounded boxes. ICIP 2017: 3335-3339 - [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
- [c16]Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu:
Fast Hybrid Algorithm for Big Matrix Recovery. AAAI 2016: 1444-1451 - [c15]Shubao Zhang, Hui Qian, Xiaojin Gong:
An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization. AAAI 2016: 2330-2336 - [c14]Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu:
Adaptive Variance Reducing for Stochastic Gradient Descent. IJCAI 2016: 1990-1996 - [c13]Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian:
Constrained Preference Embedding for Item Recommendation. IJCAI 2016: 2139-2145 - [i6]Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu:
Riemannian Tensor Completion with Side Information. CoRR abs/1611.03993 (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) - 2015
- [c12]Yuewei Lin, Kareem Abdelfatah, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang:
Co-Interest Person Detection from Multiple Wearable Camera Videos. ICCV 2015: 4426-4434 - [c11]Zebang Shen, Hui Qian, Tengfei Zhou, Song Wang:
Simple Atom Selection Strategy for Greedy Matrix Completion. IJCAI 2015: 1799-1805 - [i3]Shubao Zhang, Hui Qian, Zhihua Zhang:
A Nonconvex Approach for Structured Sparse Learning. CoRR abs/1503.02164 (2015) - [i2]Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Yuewei Lin, Dazhou Guo, Kang Zheng, Kareem Abdelfatah, Song Wang:
LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes. CoRR abs/1507.03060 (2015) - [i1]Yuewei Lin, Kareem Ezzeldeen, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang:
Co-interest Person Detection from Multiple Wearable Camera Videos. CoRR abs/1509.01654 (2015) - 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 - [c9]Xiaojin Gong, Jianqiang Ren, Baisheng Lai, Chaohua Yan, Hui Qian:
Guided Depth Upsampling via a Cosparse Analysis Model. CVPR Workshops 2014: 738-745 - [c8]Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian:
Making Fisher Discriminant Analysis Scalable. ICML 2014: 964-972 - [c7]Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang:
Improving the modified nyström method using spectral shifting. KDD 2014: 611-620 - 2013
- [j2]Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang:
An iterative SVM approach to feature selection and classification in high-dimensional datasets. Pattern Recognit. 46(9): 2531-2537 (2013) - [c6]Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang:
Large-Scale Hierarchical Classification via Stochastic Perceptron. AAAI 2013: 619-625 - [c5]Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang:
A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty. AAAI 2013: 1027-1033 - [c4]Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang:
A Nearly Unbiased Matrix Completion Approach. ECML/PKDD (2) 2013: 210-225 - 2010
- [j1]Shenyi Chen, Hui Qian, Jia Fan, Zhuo-Jun Jin, Miaoliang Zhu:
Modified reward function on abstract features in inverse reinforcement learning. J. Zhejiang Univ. Sci. C 11(9): 718-723 (2010) - [c3]Zhuo-Jun Jin, Hui Qian, Miaoliang Zhu:
Gaussian processes in inverse reinforcement learning. ICMLC 2010: 225-230
2000 – 2009
- 2008
- [c2]Donghui Wang, Hui Qian:
3D object recognition by fast spherical correlation between combined view EGIs and PFT. ICPR 2008: 1-4 - 2006
- [c1]Shenyi Chen, Hui Qian, Miaoliang Zhu:
Pheromone-Based Pre-processing to Improve Move Generation in Board Games. Edutainment 2006: 692-695
Coauthor Index
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last updated on 2024-11-25 22:47 CET by the dblp team
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