Hui Qian

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 52

Top Topics

Variational Inference

Top Venues

Publications

Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. AAAI (2024)
Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian
Neural Sinkhorn Gradient Flow. CoRR (2024)
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 (2024)
Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. CoRR (2024)
Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
Towards Optimal Randomized Strategies in Adversarial Example Game. CoRR (2023)
Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. CoRR (2023)
Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
Robust Graph Dictionary Learning. ICLR (2023)
Yuda Song, Zhuqing He, Hui Qian, Xin Du
Vision Transformers for Single Image Dehazing. IEEE Trans. Image Process. 32 (2023)
Chao Zhang, Hui Qian, Jiahao Xie
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem. CoRR (2023)
Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. AAAI (2023)
Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
Towards Optimal Randomized Strategies in Adversarial Example Game. AAAI (2023)
Jiahao Li, Hui Qian, Xin Du
SemSCo: Semantic Frequency Domain Scan Context for LiDAR-Based Place Recognition. ICAR (2023)
Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. CoRR (2023)
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)
Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian
SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. CoRR (2022)
Yuda Song, Zhuqing He, Hui Qian, Xin Du
Vision Transformers for Single Image Dehazing. CoRR (2022)
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) (2022)
Yang Zhou, Yuda Song, Hui Qian, Xin Du
ClassPruning: Speed Up Image Restoration Networks by Dynamic N: M Pruning. CoRR (2022)
Yuda Song, Hui Qian, Xin Du
Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation. CoRR (2022)
Chao Zhang, Zhijian Li, Xin Du, Hui Qian
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. IJCAI (2022)
Yuda Song, Yang Zhou, Hui Qian, Xin Du
Rethinking Performance Gains in Image Dehazing Networks. CoRR (2022)
Yuda Song, Hui Qian, Xin Du
Multi-Curve Translator for High-Resolution Photorealistic Image Translation. ECCV (15) (2022)
Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method. IJCAI (2021)
Yuda Song, Hui Qian, Xin Du
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. ICCV (2021)
Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. AAAI (2021)
Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian
Approximating Optimal Transport via Low-rank and Sparse Factorization. CoRR (2021)
Chao Zhang, Zhijian Li, Hui Qian, Xin Du
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. CoRR (2021)
Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian
A Federated Learning Framework for Nonconvex-PL Minimax Problems. CoRR (2021)
Yuda Song, Hui Qian, Xin Du
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. CoRR (2021)
Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
Aggregated Gradient Langevin Dynamics. AAAI (2020)
Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng
Partial Gromov-Wasserstein Learning for Partial Graph Matching. CoRR (2020)
Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
Accelerating Stratified Sampling SGD by Reconstructing Strata. IJCAI (2020)
Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. AAAI (2020)
Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. AISTATS (2019)
Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
Aggregated Gradient Langevin Dynamics. CoRR (2019)
Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi
Hessian Aided Policy Gradient. ICML (2019)
Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian
Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS (2019)
Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang
Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. CoRR (2019)
Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang
Towards Memory-Friendly Deterministic Incremental Gradient Method. AISTATS (2018)
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)
Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. CoRR (2018)
Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. ICML (2018)
Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. IJCAI (2017)
Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Song Wang
Loosecut: Interactive image segmentation with loosely bounded boxes. ICIP (2017)
Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu
Tensor Completion with Side Information: A Riemannian Manifold Approach. IJCAI (2017)
Zebang Shen, Hui Qian, Chao Zhang, Tengfei Zhou
Accelerated Variance Reduced Block Coordinate Descent. CoRR (2016)
Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu
Riemannian Tensor Completion with Side Information. CoRR (2016)
Shubao Zhang, Hui Qian, Xiaojin Gong
An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization. AAAI (2016)
Chao Zhang, Zebang Shen, Hui Qian, Tengfei Zhou
Accelerated Stochastic ADMM with Variance Reduction. CoRR (2016)
Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu
Adaptive Variance Reducing for Stochastic Gradient Descent. IJCAI (2016)
Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu
Fast Hybrid Algorithm for Big Matrix Recovery. AAAI (2016)
Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian
Constrained Preference Embedding for Item Recommendation. IJCAI (2016)
Zebang Shen, Hui Qian, Tengfei Zhou, Song Wang
Simple Atom Selection Strategy for Greedy Matrix Completion. IJCAI (2015)
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 (2015)
Yuewei Lin, Kareem Ezzeldeen, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang
Co-interest Person Detection from Multiple Wearable Camera Videos. CoRR (2015)
Shubao Zhang, Hui Qian, Zhihua Zhang
A Nonconvex Approach for Structured Sparse Learning. CoRR (2015)
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)
Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. AAAI (2014)
Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
Improving the modified nyström method using spectral shifting. KDD (2014)
Xiaojin Gong, Jianqiang Ren, Baisheng Lai, Chaohua Yan, Hui Qian
Guided Depth Upsampling via a Cosparse Analysis Model. CVPR Workshops (2014)
Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian
Making Fisher Discriminant Analysis Scalable. ICML (2014)
Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang
A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty. AAAI (2013)
Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang
Large-Scale Hierarchical Classification via Stochastic Perceptron. AAAI (2013)
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) (2013)
Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang
A Nearly Unbiased Matrix Completion Approach. ECML/PKDD (2) (2013)
Zhuo-Jun Jin, Hui Qian, Miaoliang Zhu
Gaussian processes in inverse reinforcement learning. ICMLC (2010)
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) (2010)
Donghui Wang, Hui Qian
3D object recognition by fast spherical correlation between combined view EGIs and PFT. ICPR (2008)
Shenyi Chen, Hui Qian, Miaoliang Zhu
Pheromone-Based Pre-processing to Improve Move Generation in Board Games. Edutainment (2006)