Efficient projection-free online convex optimization using stochastic gradients. - Xie, Jiahao; Zhang, Chao; Shen, Zebang; Qian, Hui (Mach. Learn., 2025)

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Data Generation. - Tu, Jiahang; Ji, Wei; Zhao, Hanbin; Zhang, Chao; Zimmermann, Roger; Qian, Hui (ACM Trans. Multim. Comput. Commun. Appl., 2025)

TextToucher: Fine-Grained Text-to-Touch Generation. - Tu, Jiahang; Fu, Hao; Yang, Fengyu; Zhao, Hanbin; Zhang, Chao; Qian, Hui (2025)

CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary. - Tu, Jiahang; Feng, Qian; Chen, Chufan; Dong, Jiahua; Zhao, Hanbin; Zhang, Chao; Qian, Hui (CoRR, 2025)

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting. - Fu, Hao; Zhao, Hanbin; Dong, Jiahua; Zhang, Chao; Qian, Hui (CoRR, 2025)

Many-to-Many Matching via Sparsity Controlled Optimal Transport. - Liu, Weijie; Bao, Han; Yamada, Makoto; Huang, Zenan; Zheng, Nenggan; Qian, Hui (CoRR, 2025)

Efficiently Access Diffusion Fisher: Within the Outer Product Span Space. - Wang, Fangyikang; Yin, Hubery; Zhuang, Shaobin; Zhu, Huminhao; Li, Yinan; Qian, Lei; Zhang, Chao; Zhao, Hanbin; Qian, Hui; Li, Chen (CoRR, 2025)

Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin. - Wang, Fangyikang; Yin, Hubery; Qian, Lei; Li, Yinan; Zhuang, Shaobin; Zhu, Huminhao; Zhang, Yilin; Tang, Yanlong; Zhang, Chao; Zhao, Hanbin; Qian, Hui; Li, Chen (CoRR, 2025)

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. - Wang, Fangyikang; Zhu, Huminhao; Zhang, Chao; Zhao, Hanbin; Qian, Hui (Entropy, 2024)

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. - Wang, Fangyikang; Zhu, Huminhao; Zhang, Chao; Zhao, Hanbin; Qian, Hui (2024)

D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models. - Jiang, Yikun; Wang, Huanyu; Xie, Lei; Zhao, Hanbin; Chao, Zhang; Qian, Hui; Lui, John C. S. (2024)

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. - Wang, Fangyikang; Yin, Hubery; Dong, Yuejiang; Zhu, Huminhao; Chao, Zhang; Zhao, Hanbin; Qian, Hui; Li, Chen (2024)

Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding. - Zhou, Chenhao; Shen, Zebang; Chao, Zhang; Zhao, Hanbin; Qian, Hui (2024)

Neural Sinkhorn Gradient Flow. - Zhu, Huminhao; Wang, Fangyikang; Zhang, Chao; Zhao, Hanbin; Qian, Hui (CoRR, 2024)

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. - Feng, Qian; Zhao, Hanbin; Zhang, Chao; Dong, Jiahua; Ding, Henghui; Jiang, Yu-Gang; Qian, Hui (CoRR, 2024)

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. - Tu, Jiahang; Ji, Wei; Zhao, Hanbin; Zhang, Chao; Zimmermann, Roger; Qian, Hui (CoRR, 2024)

TextToucher: Fine-Grained Text-to-Touch Generation. - Tu, Jiahang; Fu, Hao; Yang, Fengyu; Zhao, Hanbin; Zhang, Chao; Qian, Hui (CoRR, 2024)

LW2G: Learning Whether to Grow for Prompt-based Continual Learning. - Feng, Qian; Zhou, Dawei; Zhao, Hanbin; Zhang, Chao; Qian, Hui (CoRR, 2024)

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. - Wang, Fangyikang; Yin, Hubery; Dong, Yuejiang; Zhu, Huminhao; Zhang, Chao; Zhao, Hanbin; Qian, Hui; Li, Chen (CoRR, 2024)

Vision Transformers for Single Image Dehazing. - Song, Yuda; He, Zhuqing; Qian, Hui; Du, Xin (IEEE Trans. Image Process., 2023)

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. - Xie, Jiahao; Zhang, Chao; Shen, Zebang; Liu, Weijie; Qian, Hui (2023)

Towards Optimal Randomized Strategies in Adversarial Example Game. - Xie, Jiahao; Zhang, Chao; Liu, Weijie; Bai, Wensong; Qian, Hui (2023)

SemSCo: Semantic Frequency Domain Scan Context for LiDAR-Based Place Recognition. - Li, Jiahao; Qian, Hui; Du, Xin (2023)

Robust Graph Dictionary Learning. - Liu, Weijie; Xie, Jiahao; Zhang, Chao; Yamada, Makoto; Zheng, Nenggan; Qian, Hui (2023)

An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem. - Zhang, Chao; Qian, Hui; Xie, Jiahao (CoRR, 2023)

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. - Shen, Zebang; Qian, Hui; Mu, Tongzhou; Zhang, Chao (CoRR, 2023)

PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. - Bai, Wensong; Zhang, Chao; Fu, Yichao; Peng, Lingwei; Qian, Hui; Dai, Bin (CoRR, 2023)

Towards Optimal Randomized Strategies in Adversarial Example Game. - Xie, Jiahao; Zhang, Chao; Liu, Weijie; Bai, Wensong; Qian, Hui (CoRR, 2023)

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. - Wang, Fangyikang; Zhu, Huminhao; Zhang, Chao; Zhao, Hanbin; Qian, Hui (CoRR, 2023)

Research on Obstacle Avoidance Method of Robot Based on Region Location. - Gu, Yuwan; Yang, Qiuyuan; Zhu, Zhitao; Xu, Shoukun; Qian, Hui (J. Circuits Syst. Comput., 2022)

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. - Liu, Weijie; Qian, Hui; Zhang, Chao; Xie, Jiahao; Shen, Zebang; Zheng, Nenggan (2022)

Multi-Curve Translator for High-Resolution Photorealistic Image Translation. - Song, Yuda; Qian, Hui; Du, Xin (2022)

DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. - Zhang, Chao; Li, Zhijian; Du, Xin; Qian, Hui (2022)

SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. - Liu, Weijie; Zhang, Chao; Zheng, Nenggan; Qian, Hui (CoRR, 2022)

Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation. - Song, Yuda; Qian, Hui; Du, Xin (CoRR, 2022)

Vision Transformers for Single Image Dehazing. - Song, Yuda; He, Zhuqing; Qian, Hui; Du, Xin (CoRR, 2022)

Rethinking Performance Gains in Image Dehazing Networks. - Song, Yuda; Zhou, Yang; Qian, Hui; Du, Xin (CoRR, 2022)

ClassPruning: Speed Up Image Restoration Networks by Dynamic N: M Pruning. - Zhou, Yang; Song, Yuda; Qian, Hui; Du, Xin (CoRR, 2022)

A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. - Zhang, Chao; Li, Zhijian; Shen, Zebang; Xie, Jiahao; Qian, Hui (2021)

StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. - Song, Yuda; Qian, Hui; Du, Xin (2021)

SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method. - Li, Zhijian; Zhang, Chao; Qian, Hui; Du, Xin; Peng, Lingwei (2021)

A Federated Learning Framework for Nonconvex-PL Minimax Problems. - Xie, Jiahao; Zhang, Chao; Zhang, Yunsong; Shen, Zebang; Qian, Hui (CoRR, 2021)

StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. - Song, Yuda; Qian, Hui; Du, Xin (CoRR, 2021)

Approximating Optimal Transport via Low-rank and Sparse Factorization. - Liu, Weijie; Zhang, Chao; Zheng, Nenggan; Qian, Hui (CoRR, 2021)

DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. - Zhang, Chao; Li, Zhijian; Qian, Hui; Du, Xin (CoRR, 2021)

Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. - Xie, Jiahao; Shen, Zebang; Zhang, Chao; Wang, Boyu; Qian, Hui (2020)

Aggregated Gradient Langevin Dynamics. - Zhang, Chao; Xie, Jiahao; Shen, Zebang; Zhao, Peilin; Zhou, Tengfei; Qian, Hui (2020)

Accelerating Stratified Sampling SGD by Reconstructing Strata. - Liu, Weijie; Qian, Hui; Zhang, Chao; Shen, Zebang; Xie, Jiahao; Zheng, Nenggan (2020)

Partial Gromov-Wasserstein Learning for Partial Graph Matching. - Liu, Weijie; Zhang, Chao; Xie, Jiahao; Shen, Zebang; Qian, Hui; Zheng, Nenggan (CoRR, 2020)

Complexities in Projection-Free Stochastic Non-convex Minimization. - Shen, Zebang; Fang, Cong; Zhao, Peilin; Huang, Junzhou; Qian, Hui (2019)

Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. - Xie, Jiahao; Zhang, Chao; Shen, Zebang; Mi, Chao; Qian, Hui (2019)

Hessian Aided Policy Gradient. - Shen, Zebang; Ribeiro, Alejandro; Hassani, Hamed; Qian, Hui; Mi, Chao (2019)

Aggregated Gradient Langevin Dynamics. - Zhang, Chao; Xie, Jiahao; Shen, Zebang; Zhao, Peilin; Zhou, Tengfei; Qian, Hui (CoRR, 2019)

Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. - Xie, Jiahao; Shen, Zebang; Zhang, Chao; Qian, Hui; Wang, Boyu (CoRR, 2019)

Towards Memory-Friendly Deterministic Incremental Gradient Method. - Xie, Jiahao; Qian, Hui; Shen, Zebang; Zhang, Chao (2018)

Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. - Shen, Zebang; Mokhtari, Aryan; Zhou, Tengfei; Zhao, Peilin; Qian, Hui (2018)

JUMP: a Jointly Predictor for User Click and Dwell Time. - Zhou, Tengfei; Qian, Hui; Shen, Zebang; Zhang, Chao; Wang, Chengwei; Liu, Shichen; Ou, Wenwu (2018)

Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. - Shen, Zebang; Mokhtari, Aryan; Zhou, Tengfei; Zhao, Peilin; Qian, Hui (CoRR, 2018)

Loosecut: Interactive image segmentation with loosely bounded boxes. - Yu, Hongkai; Zhou, Youjie; Qian, Hui; Xian, Min; Wang, Song (2017)

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. - Shen, Zebang; Qian, Hui; Mu, Tongzhou; Zhang, Chao (2017)

Tensor Completion with Side Information: A Riemannian Manifold Approach. - Zhou, Tengfei; Qian, Hui; Shen, Zebang; Zhang, Chao; Xu, Congfu (2017)

Fast Hybrid Algorithm for Big Matrix Recovery. - Zhou, Tengfei; Qian, Hui; Shen, Zebang; Xu, Congfu (2016)

An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization. - Zhang, Shubao; Qian, Hui; Gong, Xiaojin (2016)

Adaptive Variance Reducing for Stochastic Gradient Descent. - Shen, Zebang; Qian, Hui; Zhou, Tengfei; Mu, Tongzhou (2016)

Constrained Preference Embedding for Item Recommendation. - Wang, Xin; Xu, Congfu; Guo, Yunhui; Qian, Hui (2016)

Riemannian Tensor Completion with Side Information. - Zhou, Tengfei; Qian, Hui; Shen, Zebang; Xu, Congfu (CoRR, 2016)

Accelerated Stochastic ADMM with Variance Reduction. - Zhang, Chao; Shen, Zebang; Qian, Hui; Zhou, Tengfei (CoRR, 2016)

Accelerated Variance Reduced Block Coordinate Descent. - Shen, Zebang; Qian, Hui; Zhang, Chao; Zhou, Tengfei (CoRR, 2016)

Co-Interest Person Detection from Multiple Wearable Camera Videos. - Lin, Yuewei; Abdelfatah, Kareem; Zhou, Youjie; Fan, Xiaochuan; Yu, Hongkai; Qian, Hui; Wang, Song (2015)

Simple Atom Selection Strategy for Greedy Matrix Completion. - Shen, Zebang; Qian, Hui; Zhou, Tengfei; Wang, Song (2015)

A Nonconvex Approach for Structured Sparse Learning. - Zhang, Shubao; Qian, Hui; Zhang, Zhihua (CoRR, 2015)

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes. - Yu, Hongkai; Zhou, Youjie; Qian, Hui; Xian, Min; Lin, Yuewei; Guo, Dazhou; Zheng, Kang; Abdelfatah, Kareem; Wang, Song (CoRR, 2015)

Co-interest Person Detection from Multiple Wearable Camera Videos. - Lin, Yuewei; Ezzeldeen, Kareem; Zhou, Youjie; Fan, Xiaochuan; Yu, Hongkai; Qian, Hui; Wang, Song (CoRR, 2015)

Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. - Wang, Shusen; Zhang, Chao; Qian, Hui; Zhang, Zhihua (2014)

Guided Depth Upsampling via a Cosparse Analysis Model. - Gong, Xiaojin; Ren, Jianqiang; Lai, Baisheng; Yan, Chaohua; Qian, Hui (2014)

Making Fisher Discriminant Analysis Scalable. - Tu, Bojun; Zhang, Zhihua; Wang, Shusen; Qian, Hui (2014)

Improving the modified nyström method using spectral shifting. - Wang, Shusen; Zhang, Chao; Qian, Hui; Zhang, Zhihua (2014)

An iterative SVM approach to feature selection and classification in high-dimensional datasets. - Liu, Dehua; Qian, Hui; Dai, Guang; Zhang, Zhihua (Pattern Recognit., 2013)

Large-Scale Hierarchical Classification via Stochastic Perceptron. - Liu, Dehua; Tu, Bojun; Qian, Hui; Zhang, Zhihua (2013)

A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty. - Zhang, Shubao; Qian, Hui; Chen, Wei; Zhang, Zhihua (2013)

A Nearly Unbiased Matrix Completion Approach. - Liu, Dehua; Zhou, Tengfei; Qian, Hui; Xu, Congfu; Zhang, Zhihua (2013)

Modified reward function on abstract features in inverse reinforcement learning. - Chen, Shenyi; Qian, Hui; Fan, Jia; Jin, Zhuo-Jun; Zhu, Miaoliang (J. Zhejiang Univ. Sci. C, 2010)

Gaussian processes in inverse reinforcement learning. - Jin, Zhuo-Jun; Qian, Hui; Zhu, Miaoliang (2010)

3D object recognition by fast spherical correlation between combined view EGIs and PFT. - Wang, Donghui; Qian, Hui (2008)

Pheromone-Based Pre-processing to Improve Move Generation in Board Games. - Chen, Shenyi; Qian, Hui; Zhu, Miaoliang (2006)