Hui Qian - RankMe

93 papers A* 34A 3B 2Misc 1Journal 48Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conditional Sequence Modeling for Safe Reinforcement Learning. CoRR Wensong Bai, Chao Zhang, Qihang Xu, Chufan Chen, Chenhao Zhou, Hui Qian
2026	J	`jnl`	FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning. CoRR Qian Feng, Jiahang Tu, Mintong Kang, Hanbin Zhao, Chao Zhang, Hui Qian
2026	J	`jnl`	IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting. IEEE Trans. Image Process. Hao Fu, Hanbin Zhao, Jiahua Dong, Henghui Ding, Chao Zhang, Hui Qian
2026	A*	`conf`	Mass Concept Erasure in Diffusion Models with Concept Hierarchy. AAAI Jiahang Tu, Ye Li, Yiming Wu, Hanbin Zhao, Chao Zhang, Hui Qian
2026	J	`jnl`	Mass Concept Erasure in Diffusion Models with Concept Hierarchy. CoRR Jiahang Tu, Ye Li, Yiming Wu, Hanbin Zhao, Chao Zhang, Hui Qian
2025	J	`jnl`	CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary. CoRR Jiahang Tu, Qian Feng, Chufan Chen, Jiahua Dong, Hanbin Zhao, Chao Zhang, Hui Qian
2025	J	`jnl`	DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Data Generation. ACM Trans. Multim. Comput. Commun. Appl. Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian
2025	J	`jnl`	Efficient projection-free online convex optimization using stochastic gradients. Mach. Learn. Jiahao Xie, Chao Zhang, Zebang Shen, Hui Qian
2025	A*	`conf`	Efficiently Access Diffusion Fisher: Within the Outer Product Span Space. ICML Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	J	`jnl`	Efficiently Access Diffusion Fisher: Within the Outer Product Span Space. CoRR Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	J	`jnl`	IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting. CoRR Hao Fu, Hanbin Zhao, Jiahua Dong, Chao Zhang, Hui Qian
2025	J	`jnl`	Many-to-Many Matching via Sparsity Controlled Optimal Transport. CoRR Weijie Liu, Han Bao, Makoto Yamada, Zenan Huang, Nenggan Zheng, Hui Qian
2025	J	`jnl`	PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. IEEE Trans. Circuits Syst. Video Technol. Qian Feng, Hanbin Zhao, Chao Zhang, Jiahua Dong, Henghui Ding, Yu-Gang Jiang, Hui Qian
2025	A*	`conf`	TextToucher: Fine-Grained Text-to-Touch Generation. AAAI Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian
2025	J	`jnl`	Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin. CoRR Fangyikang Wang, Hubery Yin, Lei Qian, Yinan Li, Shaobin Zhuang, Huminhao Zhu, Yilin Zhang, Yanlong Tang, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	J	`jnl`	Visuo-Tactile Class-Incremental Learning. ACM Trans. Multim. Comput. Commun. Appl. Hao Fu, Fengyu Yang, Boyang Wang, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian
2024	A*	`conf`	BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. NeurIPS Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Zhang Chao, Hanbin Zhao, Hui Qian, Chen Li
2024	J	`jnl`	BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. CoRR Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2024	A*	`conf`	D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models. NeurIPS Yikun Jiang, Huanyu Wang, Lei Xie, Hanbin Zhao, Zhang Chao, Hui Qian, John C. S. Lui
2024	J	`jnl`	DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving. CoRR Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian
2024	A*	`conf`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. AAAI Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
2024	J	`jnl`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. Entropy Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
2024	J	`jnl`	LW2G: Learning Whether to Grow for Prompt-based Continual Learning. CoRR Qian Feng, Da-Wei Zhou, Hanbin Zhao, Chao Zhang, Hui Qian
2024	J	`jnl`	Neural Sinkhorn Gradient Flow. CoRR Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian
2024	J	`jnl`	PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. CoRR Qian Feng, Hanbin Zhao, Chao Zhang, Jiahua Dong, Henghui Ding, Yu-Gang Jiang, Hui Qian
2024	A*	`conf`	Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding. NeurIPS Chenhao Zhou, Zebang Shen, Zhang Chao, Hanbin Zhao, Hui Qian
2024	J	`jnl`	TextToucher: Fine-Grained Text-to-Touch Generation. CoRR Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian
2023	J	`jnl`	Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. CoRR Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
2023	J	`jnl`	An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem. CoRR Chao Zhang, Hui Qian, Jiahao Xie
2023	A*	`conf`	CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. AAAI Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian
2023	J	`jnl`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. CoRR Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
2023	J	`jnl`	PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. CoRR Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai
2023	A*	`conf`	Robust Graph Dictionary Learning. ICLR Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
2023	—	`conf`	SemSCo: Semantic Frequency Domain Scan Context for LiDAR-Based Place Recognition. ICAR Jiahao Li, Hui Qian, Xin Du
2023	A*	`conf`	Towards Optimal Randomized Strategies in Adversarial Example Game. AAAI Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
2023	J	`jnl`	Towards Optimal Randomized Strategies in Adversarial Example Game. CoRR Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
2023	J	`jnl`	Vision Transformers for Single Image Dehazing. IEEE Trans. Image Process. Yuda Song, Zhuqing He, Hui Qian, Xin Du
2022	J	`jnl`	ClassPruning: Speed Up Image Restoration Networks by Dynamic N: M Pruning. CoRR Yang Zhou, Yuda Song, Hui Qian, Xin Du
2022	A*	`conf`	DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. IJCAI Chao Zhang, Zhijian Li, Xin Du, Hui Qian
2022	A*	`conf`	From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. AAAI Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng
2022	—	`conf`	Multi-Curve Translator for High-Resolution Photorealistic Image Translation. ECCV (15) Yuda Song, Hui Qian, Xin Du
2022	J	`jnl`	Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation. CoRR Yuda Song, Hui Qian, Xin Du
2022	J	`jnl`	Research on Obstacle Avoidance Method of Robot Based on Region Location. J. Circuits Syst. Comput. Yuwan Gu, Qiuyuan Yang, Zhitao Zhu, Shoukun Xu, Hui Qian
2022	J	`jnl`	Rethinking Performance Gains in Image Dehazing Networks. CoRR Yuda Song, Yang Zhou, Hui Qian, Xin Du
2022	J	`jnl`	SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. CoRR Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian
2022	J	`jnl`	Vision Transformers for Single Image Dehazing. CoRR Yuda Song, Zhuqing He, Hui Qian, Xin Du
2021	J	`jnl`	A Federated Learning Framework for Nonconvex-PL Minimax Problems. CoRR Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian
2021	A*	`conf`	A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. AAAI Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian
2021	J	`jnl`	Approximating Optimal Transport via Low-rank and Sparse Factorization. CoRR Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian
2021	J	`jnl`	DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. CoRR Chao Zhang, Zhijian Li, Hui Qian, Xin Du
2021	A*	`conf`	SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method. IJCAI Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng
2021	A*	`conf`	StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. ICCV Yuda Song, Hui Qian, Xin Du
2021	J	`jnl`	StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. CoRR Yuda Song, Hui Qian, Xin Du
2020	A*	`conf`	Accelerating Stratified Sampling SGD by Reconstructing Strata. IJCAI Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
2020	A*	`conf`	Aggregated Gradient Langevin Dynamics. AAAI Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
2020	A*	`conf`	Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. AAAI Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian
2020	J	`jnl`	Partial Gromov-Wasserstein Learning for Partial Graph Matching. CoRR Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng
2019	J	`jnl`	Aggregated Gradient Langevin Dynamics. CoRR Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
2019	A	`conf`	Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian
2019	A	`conf`	Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. AISTATS Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian
2019	A*	`conf`	Hessian Aided Policy Gradient. ICML Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi
2019	J	`jnl`	Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. CoRR Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang
2018	A*	`conf`	JUMP: a Jointly Predictor for User Click and Dwell Time. IJCAI Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou
2018	A	`conf`	Towards Memory-Friendly Deterministic Incremental Gradient Method. AISTATS Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang
2018	A*	`conf`	Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. ICML Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
2018	J	`jnl`	Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. CoRR Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
2017	A*	`conf`	Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. IJCAI Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
2017	B	`conf`	Loosecut: Interactive image segmentation with loosely bounded boxes. ICIP Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Song Wang
2017	A*	`conf`	Tensor Completion with Side Information: A Riemannian Manifold Approach. IJCAI Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu
2016	J	`jnl`	Accelerated Stochastic ADMM with Variance Reduction. CoRR Chao Zhang, Zebang Shen, Hui Qian, Tengfei Zhou
2016	J	`jnl`	Accelerated Variance Reduced Block Coordinate Descent. CoRR Zebang Shen, Hui Qian, Chao Zhang, Tengfei Zhou
2016	A*	`conf`	Adaptive Variance Reducing for Stochastic Gradient Descent. IJCAI Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu
2016	A*	`conf`	An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization. AAAI Shubao Zhang, Hui Qian, Xiaojin Gong
2016	A*	`conf`	Constrained Preference Embedding for Item Recommendation. IJCAI Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian
2016	A*	`conf`	Fast Hybrid Algorithm for Big Matrix Recovery. AAAI Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu
2016	J	`jnl`	Riemannian Tensor Completion with Side Information. CoRR Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu
2015	J	`jnl`	A Nonconvex Approach for Structured Sparse Learning. CoRR Shubao Zhang, Hui Qian, Zhihua Zhang
2015	A*	`conf`	Co-Interest Person Detection from Multiple Wearable Camera Videos. ICCV Yuewei Lin, Kareem Abdelfatah, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang
2015	J	`jnl`	Co-interest Person Detection from Multiple Wearable Camera Videos. CoRR Yuewei Lin, Kareem Ezzeldeen, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang
2015	J	`jnl`	LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes. CoRR Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Yuewei Lin, Dazhou Guo, Kang Zheng, Kareem Abdelfatah, Song Wang
2015	A*	`conf`	Simple Atom Selection Strategy for Greedy Matrix Completion. IJCAI Zebang Shen, Hui Qian, Tengfei Zhou, Song Wang
2014	—	`conf`	Guided Depth Upsampling via a Cosparse Analysis Model. CVPR Workshops Xiaojin Gong, Jianqiang Ren, Baisheng Lai, Chaohua Yan, Hui Qian
2014	A*	`conf`	Improving the modified nyström method using spectral shifting. KDD Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
2014	A*	`conf`	Making Fisher Discriminant Analysis Scalable. ICML Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian
2014	A*	`conf`	Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. AAAI Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
2013	A*	`conf`	A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty. AAAI Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang
2013	—	`conf`	A Nearly Unbiased Matrix Completion Approach. ECML/PKDD (2) Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang
2013	J	`jnl`	An iterative SVM approach to feature selection and classification in high-dimensional datasets. Pattern Recognit. Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang
2013	A*	`conf`	Large-Scale Hierarchical Classification via Stochastic Perceptron. AAAI Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang
2010	Misc	`conf`	Gaussian processes in inverse reinforcement learning. ICMLC Zhuo-Jun Jin, Hui Qian, Miaoliang Zhu
2010	J	`jnl`	Modified reward function on abstract features in inverse reinforcement learning. J. Zhejiang Univ. Sci. C Shenyi Chen, Hui Qian, Jia Fan, Zhuo-Jun Jin, Miaoliang Zhu
2008	B	`conf`	3D object recognition by fast spherical correlation between combined view EGIs and PFT. ICPR Donghui Wang, Hui Qian
2006	—	`conf`	Pheromone-Based Pre-processing to Improve Move Generation in Board Games. Edutainment Shenyi Chen, Hui Qian, Miaoliang Zhu