Pheromone-Based Pre-processing to Improve Move Generation in Board Games. - Shenyi Chen; Hui Qian 001; Miaoliang Zhu (Edutainment, 2006)

3D object recognition by fast spherical correlation between combined view EGIs and PFT. - Donghui Wang; Hui Qian 001 (ICPR, 2008)

Gaussian processes in inverse reinforcement learning. - Zhuo-Jun Jin; Hui Qian 001; Miaoliang Zhu (ICMLC, 2010)

Modified reward function on abstract features in inverse reinforcement learning. - Shenyi Chen; Hui Qian 001; Jia Fan; Zhuo-Jun Jin; Miaoliang Zhu (J. Zhejiang Univ. Sci. C, 2010)

Large-Scale Hierarchical Classification via Stochastic Perceptron. - Dehua Liu; Bojun Tu; Hui Qian 001; Zhihua Zhang 008 (AAAI, 2013)

A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty. - Shubao Zhang; Hui Qian 001; Wei Chen; Zhihua Zhang 008 (AAAI, 2013)

A Nearly Unbiased Matrix Completion Approach. - Dehua Liu; Tengfei Zhou; Hui Qian 001; Congfu Xu; Zhihua Zhang 008 (ECML/PKDD (2), 2013)

An iterative SVM approach to feature selection and classification in high-dimensional datasets. - Dehua Liu; Hui Qian 001; Guang Dai; Zhihua Zhang 008 (Pattern Recognit., 2013)

Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. - Shusen Wang; Chao Zhang 029; Hui Qian 001; Zhihua Zhang 008 (AAAI, 2014)

Guided Depth Upsampling via a Cosparse Analysis Model. - Xiaojin Gong; Jianqiang Ren; Baisheng Lai; Chaohua Yan; Hui Qian 001 (CVPR Workshops, 2014)

Making Fisher Discriminant Analysis Scalable. - Bojun Tu; Zhihua Zhang 008; Shusen Wang; Hui Qian 001 (ICML, 2014)

Improving the modified nyström method using spectral shifting. - Shusen Wang; Chao Zhang 029; Hui Qian 001; Zhihua Zhang 008 (KDD, 2014)

Co-Interest Person Detection from Multiple Wearable Camera Videos. - Yuewei Lin; Kareem Abdelfatah; Youjie Zhou; Xiaochuan Fan; Hongkai Yu; Hui Qian 001; Song Wang 002 (ICCV, 2015)

Simple Atom Selection Strategy for Greedy Matrix Completion. - Zebang Shen; Hui Qian 001; Tengfei Zhou; Song Wang 002 (IJCAI, 2015)

Co-interest Person Detection from Multiple Wearable Camera Videos. - Yuewei Lin; Kareem Ezzeldeen; Youjie Zhou; Xiaochuan Fan; Hongkai Yu; Hui Qian 001; Song Wang 002 (CoRR, 2015)

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes. - Hongkai Yu; Youjie Zhou; Hui Qian 001; Min Xian; Yuewei Lin; Dazhou Guo; Kang Zheng; Kareem Abdelfatah; Song Wang 002 (CoRR, 2015)

A Nonconvex Approach for Structured Sparse Learning. - Shubao Zhang; Hui Qian 001; Zhihua Zhang 008 (CoRR, 2015)

An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization. - Shubao Zhang; Hui Qian 001; Xiaojin Gong (AAAI, 2016)

Fast Hybrid Algorithm for Big Matrix Recovery. - Tengfei Zhou; Hui Qian 001; Zebang Shen; Congfu Xu (AAAI, 2016)

Adaptive Variance Reducing for Stochastic Gradient Descent. - Zebang Shen; Hui Qian 001; Tengfei Zhou; Tongzhou Mu (IJCAI, 2016)

Constrained Preference Embedding for Item Recommendation. - Xin Wang 060; Congfu Xu; Yunhui Guo; Hui Qian 001 (IJCAI, 2016)

Accelerated Variance Reduced Block Coordinate Descent. - Zebang Shen; Hui Qian 001; Chao Zhang 029; Tengfei Zhou (CoRR, 2016)

Accelerated Stochastic ADMM with Variance Reduction. - Chao Zhang 029; Zebang Shen; Hui Qian 001; Tengfei Zhou (CoRR, 2016)

Riemannian Tensor Completion with Side Information. - Tengfei Zhou; Hui Qian 001; Zebang Shen; Congfu Xu (CoRR, 2016)

Loosecut: Interactive image segmentation with loosely bounded boxes. - Hongkai Yu; Youjie Zhou; Hui Qian 001; Min Xian; Song Wang 002 (ICIP, 2017)

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. - Zebang Shen; Hui Qian 001; Tongzhou Mu; Chao Zhang 029 (IJCAI, 2017)

Tensor Completion with Side Information: A Riemannian Manifold Approach. - Tengfei Zhou; Hui Qian 001; Zebang Shen; Chao Zhang 029; Congfu Xu (IJCAI, 2017)

Towards Memory-Friendly Deterministic Incremental Gradient Method. - Jiahao Xie 001; Hui Qian 001; Zebang Shen; Chao Zhang 029 (AISTATS, 2018)

Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. - Zebang Shen; Aryan Mokhtari; Tengfei Zhou; Peilin Zhao; Hui Qian 001 (ICML, 2018)

JUMP: a Jointly Predictor for User Click and Dwell Time. - Tengfei Zhou; Hui Qian 001; Zebang Shen; Chao Zhang 029; Chengwei Wang; Shichen Liu; Wenwu Ou (IJCAI, 2018)

Complexities in Projection-Free Stochastic Non-convex Minimization. - Zebang Shen; Cong Fang 001; Peilin Zhao; Junzhou Huang; Hui Qian 001 (AISTATS, 2019)

Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. - Jiahao Xie 001; Chao Zhang 029; Zebang Shen; Chao Mi; Hui Qian 001 (AISTATS, 2019)

Hessian Aided Policy Gradient. - Zebang Shen; Alejandro Ribeiro; Hamed Hassani; Hui Qian 001; Chao Mi (ICML, 2019)

Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. - Jiahao Xie 001; Zebang Shen; Chao Zhang 029; Hui Qian 001; Boyu Wang (CoRR, 2019)

Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. - Jiahao Xie 001; Zebang Shen; Chao Zhang 029; Boyu Wang; Hui Qian 001 (AAAI, 2020)

Aggregated Gradient Langevin Dynamics. - Chao Zhang 029; Jiahao Xie 001; Zebang Shen; Peilin Zhao; Tengfei Zhou; Hui Qian 001 (AAAI, 2020)

Accelerating Stratified Sampling SGD by Reconstructing Strata. - Weijie Liu 006; Hui Qian 001; Chao Zhang 029; Zebang Shen; Jiahao Xie 001; Nenggan Zheng (IJCAI, 2020)

Partial Gromov-Wasserstein Learning for Partial Graph Matching. - Weijie Liu 006; Chao Zhang 029; Jiahao Xie 001; Zebang Shen; Hui Qian 001; Nenggan Zheng (CoRR, 2020)

A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. - Chao Zhang 029; Zhijian Li; Zebang Shen; Jiahao Xie 001; Hui Qian 001 (AAAI, 2021)

StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. - Yuda Song 002; Hui Qian 001; Xin Du 005 (ICCV, 2021)

SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method. - Zhijian Li; Chao Zhang 029; Hui Qian 001; Xin Du 005; Lingwei Peng (IJCAI, 2021)

A Federated Learning Framework for Nonconvex-PL Minimax Problems. - Jiahao Xie 001; Chao Zhang 029; Yunsong Zhang; Zebang Shen; Hui Qian 001 (CoRR, 2021)

Approximating Optimal Transport via Low-rank and Sparse Factorization. - Weijie Liu 006; Chao Zhang 029; Nenggan Zheng; Hui Qian 001 (CoRR, 2021)

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. - Weijie Liu 006; Hui Qian 001; Chao Zhang 029; Jiahao Xie 001; Zebang Shen; Nenggan Zheng (AAAI, 2022)

Multi-Curve Translator for High-Resolution Photorealistic Image Translation. - Yuda Song 002; Hui Qian 001; Xin Du 005 (ECCV (15), 2022)

DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. - Chao Zhang 029; Zhijian Li; Xin Du 005; Hui Qian 001 (IJCAI, 2022)

SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. - Weijie Liu 006; Chao Zhang 029; Nenggan Zheng; Hui Qian 001 (CoRR, 2022)

Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation. - Yuda Song 002; Hui Qian 001; Xin Du 005 (CoRR, 2022)

Rethinking Performance Gains in Image Dehazing Networks. - Yuda Song 002; Yang Zhou; Hui Qian 001; Xin Du 005 (CoRR, 2022)

ClassPruning: Speed Up Image Restoration Networks by Dynamic N: M Pruning. - Yang Zhou; Yuda Song 002; Hui Qian 001; Xin Du 005 (CoRR, 2022)

Research on Obstacle Avoidance Method of Robot Based on Region Location. - Yuwan Gu; Qiuyuan Yang; Zhitao Zhu; Shoukun Xu; Hui Qian 001 (J. Circuits Syst. Comput., 2022)

Towards Optimal Randomized Strategies in Adversarial Example Game. - Jiahao Xie 001; Chao Zhang 029; Weijie Liu 006; Wensong Bai; Hui Qian 001 (AAAI, 2023)

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. - Jiahao Xie 001; Chao Zhang 029; Zebang Shen; Weijie Liu 006; Hui Qian 001 (AAAI, 2023)

SemSCo: Semantic Frequency Domain Scan Context for LiDAR-Based Place Recognition. - Jiahao Li; Hui Qian 001; Xin Du 005 (ICAR, 2023)

Robust Graph Dictionary Learning. - Weijie Liu 006; Jiahao Xie 001; Chao Zhang 029; Makoto Yamada; Nenggan Zheng; Hui Qian 001 (ICLR, 2023)

An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem. - Chao Zhang 029; Hui Qian 001; Jiahao Xie 001 (CoRR, 2023)

PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. - Wensong Bai; Chao Zhang 029; Yichao Fu; Lingwei Peng; Hui Qian 001; Bin Dai (CoRR, 2023)

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. - Fangyikang Wang; Huminhao Zhu; Chao Zhang 029; Hanbin Zhao; Hui Qian 001 (CoRR, 2023)

Vision Transformers for Single Image Dehazing. - Yuda Song 002; Zhuqing He; Hui Qian 001; Xin Du 005 (IEEE Trans. Image Process., 2023)

D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models. - Yikun Jiang; Huanyu Wang; Lei Xie; Hanbin Zhao; Zhang Chao; Hui Qian 001; John C. S. Lui (NeurIPS, 2024)

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. - Fangyikang Wang; Hubery Yin; Yuejiang Dong; Huminhao Zhu; Zhang Chao; Hanbin Zhao; Hui Qian 001; Chen Li (NeurIPS, 2024)

Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding. - Chenhao Zhou 003; Zebang Shen; Zhang Chao; Hanbin Zhao; Hui Qian 001 (NeurIPS, 2024)

Neural Sinkhorn Gradient Flow. - Huminhao Zhu; Fangyikang Wang; Chao Zhang 029; Hanbin Zhao; Hui Qian 001 (CoRR, 2024)

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. - Qian Feng; Hanbin Zhao; Chao Zhang 001; Jiahua Dong 001; Henghui Ding; Yu-Gang Jiang 001; Hui Qian 001 (CoRR, 2024)

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. - Jiahang Tu; Wei Ji 008; Hanbin Zhao; Chao Zhang 014; Roger Zimmermann; Hui Qian 001 (CoRR, 2024)

LW2G: Learning Whether to Grow for Prompt-based Continual Learning. - Qian Feng; Dawei Zhou 001; Hanbin Zhao; Chao Zhang 001; Hui Qian 001 (CoRR, 2024)

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. - Fangyikang Wang; Hubery Yin; Yuejiang Dong; Huminhao Zhu; Chao Zhang; Hanbin Zhao; Hui Qian 001; Chen Li (CoRR, 2024)

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. - Fangyikang Wang; Huminhao Zhu; Chao Zhang; Hanbin Zhao; Hui Qian 001 (Entropy, 2024)

TextToucher: Fine-Grained Text-to-Touch Generation. - Jiahang Tu; Hao Fu; Fengyu Yang; Hanbin Zhao; Chao Zhang; Hui Qian 001 (AAAI, 2025)

CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary. - Jiahang Tu; Qian Feng; Chufan Chen; Jiahua Dong 001; Hanbin Zhao; Chao Zhang 001; Hui Qian 001 (CoRR, 2025)

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting. - Hao Fu; Hanbin Zhao; Jiahua Dong 001; Chao Zhang 001; Hui Qian 001 (CoRR, 2025)

Many-to-Many Matching via Sparsity Controlled Optimal Transport. - Weijie Liu 006; Han Bao 002; Makoto Yamada; Zenan Huang; Nenggan Zheng; Hui Qian 001 (CoRR, 2025)

DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Data Generation. - Jiahang Tu; Wei Ji 008; Hanbin Zhao; Chao Zhang 029; Roger Zimmermann; Hui Qian 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Efficient projection-free online convex optimization using stochastic gradients. - Jiahao Xie 001; Chao Zhang 029; Zebang Shen; Hui Qian 001 (Mach. Learn., 2025)

Efficiently Access Diffusion Fisher: Within the Outer Product Span Space. - Fangyikang Wang; Hubery Yin; Shaobin Zhuang; Huminhao Zhu; Yinan Li; Lei Qian; Chao Zhang; Hanbin Zhao; Hui Qian 001; Chen Li (CoRR, 2025)

Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin. - Fangyikang Wang; Hubery Yin; Lei Qian; Yinan Li; Shaobin Zhuang; Huminhao Zhu; Yilin Zhang; Yanlong Tang; Chao Zhang; Hanbin Zhao; Hui Qian 001; Chen Li (CoRR, 2025)