Hui Qian

According to our database, Hui Qian authored at least 61 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural Sinkhorn Gradient Flow.

Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian

CoRR, 2024

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework.

Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Vision Transformers for Single Image Dehazing.

Yuda Song, Zhuqing He, Hui Qian, Xin Du

IEEE Trans. Image Process., 2023

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework.

Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian

CoRR, 2023

PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm.

Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai

CoRR, 2023

An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem.

Chao Zhang, Hui Qian, Jiahao Xie

CoRR, 2023

Robust Graph Dictionary Learning.

Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SemSCo: Semantic Frequency Domain Scan Context for LiDAR-Based Place Recognition.

Jiahao Li, Hui Qian, Xin Du

Proceedings of the 21st International Conference on Advanced Robotics, 2023

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems.

Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Optimal Randomized Strategies in Adversarial Example Game.

Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Research on Obstacle Avoidance Method of Robot Based on Region Location.

Yuwan Gu, Qiuyuan Yang, Zhitao Zhu, Shoukun Xu, Hui Qian

J. Circuits Syst. Comput., 2022

ClassPruning: Speed Up Image Restoration Networks by Dynamic N: M Pruning.

Yang Zhou, Yuda Song, Hui Qian, Xin Du

CoRR, 2022

Rethinking Performance Gains in Image Dehazing Networks.

Yuda Song, Yang Zhou, Hui Qian, Xin Du

CoRR, 2022

Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation.

Yuda Song, Hui Qian, Xin Du

CoRR, 2022

SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm.

Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian

CoRR, 2022

DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework.

Chao Zhang, Zhijian Li, Xin Du, Hui Qian

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Curve Translator for High-Resolution Photorealistic Image Translation.

Yuda Song, Hui Qian, Xin Du

Proceedings of the Computer Vision - ECCV 2022, 2022

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs.

Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Approximating Optimal Transport via Low-rank and Sparse Factorization.

Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian

CoRR, 2021

A Federated Learning Framework for Nonconvex-PL Minimax Problems.

Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian

CoRR, 2021

SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method.

Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement.

Yuda Song, Hui Qian, Xin Du

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method.

Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Partial Gromov-Wasserstein Learning for Partial Graph Matching.

Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng

CoRR, 2020

Accelerating Stratified Sampling SGD by Reconstructing Strata.

Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Aggregated Gradient Langevin Dynamics.

Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Projection-Free Online Methods with Stochastic Recursive Gradient.

Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning.

Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang

CoRR, 2019

Hessian Aided Policy Gradient.

Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi

Proceedings of the 36th International Conference on Machine Learning, 2019

Decentralized Gradient Tracking for Continuous DR-Submodular Maximization.

Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Complexities in Projection-Free Stochastic Non-convex Minimization.

Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

JUMP: a Jointly Predictor for User Click and Dwell Time.

Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication.

Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian

Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Memory-Friendly Deterministic Incremental Gradient Method.

Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Tensor Completion with Side Information: A Riemannian Manifold Approach.

Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization.

Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Loosecut: Interactive image segmentation with loosely bounded boxes.

Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Song Wang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Riemannian Tensor Completion with Side Information.

Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu

CoRR, 2016

Accelerated Stochastic ADMM with Variance Reduction.

Chao Zhang, Zebang Shen, Hui Qian, Tengfei Zhou

CoRR, 2016

Accelerated Variance Reduced Block Coordinate Descent.

Zebang Shen, Hui Qian, Chao Zhang, Tengfei Zhou

CoRR, 2016

Constrained Preference Embedding for Item Recommendation.

Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Adaptive Variance Reducing for Stochastic Gradient Descent.

Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Fast Hybrid Algorithm for Big Matrix Recovery.

Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization.

Shubao Zhang, Hui Qian, Xiaojin Gong

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Nonconvex Approach for Structured Sparse Learning.

Shubao Zhang, Hui Qian, Zhihua Zhang

CoRR, 2015

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes.

Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Yuewei Lin, Dazhou Guo, Kang Zheng, Kareem Abdelfatah, Song Wang

CoRR, 2015

Co-interest Person Detection from Multiple Wearable Camera Videos.

Yuewei Lin, Kareem Ezzeldeen, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang

CoRR, 2015

Simple Atom Selection Strategy for Greedy Matrix Completion.

Zebang Shen, Hui Qian, Tengfei Zhou, Song Wang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Co-Interest Person Detection from Multiple Wearable Camera Videos.

Yuewei Lin, Kareem Abdelfatah, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Improving the modified nyström method using spectral shifting.

Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Making Fisher Discriminant Analysis Scalable.

Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian

Proceedings of the 31th International Conference on Machine Learning, 2014

Guided Depth Upsampling via a Cosparse Analysis Model.

Xiaojin Gong, Jianqiang Ren, Baisheng Lai, Chaohua Yan, Hui Qian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms.

Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

An iterative SVM approach to feature selection and classification in high-dimensional datasets.

Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang

Pattern Recognit., 2013

A Nearly Unbiased Matrix Completion Approach.

Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty.

Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Large-Scale Hierarchical Classification via Stochastic Perceptron.

Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2010

Modified reward function on abstract features in inverse reinforcement learning.

Shenyi Chen, Hui Qian, Jia Fan, Zhuo-Jun Jin, Miaoliang Zhu

J. Zhejiang Univ. Sci. C, 2010

Gaussian processes in inverse reinforcement learning.

Zhuo-Jun Jin, Hui Qian, Miaoliang Zhu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2008

3D object recognition by fast spherical correlation between combined view EGIs and PFT.

Donghui Wang, Hui Qian

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2006

Pheromone-Based Pre-processing to Improve Move Generation in Board Games.

Shenyi Chen, Hui Qian, Miaoliang Zhu

Proceedings of the Technologies for E-Learning and Digital Entertainment, 2006