Qian, Hui

42 publications

MLJ 2025 Efficient Projection-Free Online Convex Optimization Using Stochastic Gradients Jiahao Xie, Chao Zhang, Zebang Shen, Hui Qian
ICML 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, Chen Li
ICCV 2025 FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning Qian Feng, JiaHang Tu, Mintong Kang, Hanbin Zhao, Chao Zhang, Hui Qian
NeurIPS 2025 Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning Wensong Bai, Chufan Chen, Yichao Fu, Qihang Xu, Chao Zhang, Hui Qian
AAAI 2025 TextToucher: Fine-Grained Text-to-Touch Generation Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian
ICCV 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, Chen Li
NeurIPS 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, Chen Li
NeurIPS 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models Yikun Jiang, Huanyu Wang, Lei Xie, Hanbin Zhao, Chao Zhang, Hui Qian, John C.S. Lui
AAAI 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
NeurIPS 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding Chenhao Zhou, Zebang Shen, Chao Zhang, Hanbin Zhao, Hui Qian
AAAI 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian
ICLR 2023 Robust Graph Dictionary Learning Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
AAAI 2023 Towards Optimal Randomized Strategies in Adversarial Example Game Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
IJCAI 2022 DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework Chao Zhang, Zhijian Li, Xin Du, Hui Qian
AAAI 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
ECCV 2022 Multi-Curve Translator for High-Resolution Photorealistic Image Translation Yuda Song, Hui Qian, Xin Du
AAAI 2021 A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian
IJCAI 2021 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng
ICCV 2021 StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement Yuda Song, Hui Qian, Xin Du
IJCAI 2020 Accelerating Stratified Sampling SGD by Reconstructing Strata Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
AAAI 2020 Aggregated Gradient Langevin Dynamics Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
AAAI 2020 Efficient Projection-Free Online Methods with Stochastic Recursive Gradient Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian
AISTATS 2019 Complexities in Projection-Free Stochastic Non-Convex Minimization Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian
AISTATS 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian
ICML 2019 Hessian Aided Policy Gradient Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi
IJCAI 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
AISTATS 2018 Towards Memory-Friendly Deterministic Incremental Gradient Method Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang
ICML 2018 Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
IJCAI 2017 Accelerated Doubly Stochastic Gradient Algorithm for Large-Scale Empirical Risk Minimization Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
IJCAI 2017 Tensor Completion with Side Information: A Riemannian Manifold Approach Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu
IJCAI 2016 Adaptive Variance Reducing for Stochastic Gradient Descent Zebang Shen, Hui Qian, Tengfei Zhou, Tongzhou Mu
AAAI 2016 An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization Shubao Zhang, Hui Qian, Xiaojin Gong
IJCAI 2016 Constrained Preference Embedding for Item Recommendation Xin Wang, Congfu Xu, Yunhui Guo, Hui Qian
AAAI 2016 Fast Hybrid Algorithm for Big Matrix Recovery Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu
ICCV 2015 Co-Interest Person Detection from Multiple Wearable Camera Videos Yuewei Lin, Kareem Abdelfatah, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang
IJCAI 2015 Simple Atom Selection Strategy for Greedy Matrix Completion Zebang Shen, Hui Qian, Tengfei Zhou, Song Wang
CVPRW 2014 Guided Depth Upsampling via a Cosparse Analysis Model Xiaojin Gong, Jianqiang Ren, Baisheng Lai, Chaohua Yan, Hui Qian
ICML 2014 Making Fisher Discriminant Analysis Scalable Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian
AAAI 2014 Using the Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
AAAI 2013 A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty Shubao Zhang, Hui Qian, Wei Chen, Zhihua Zhang
ECML-PKDD 2013 A Nearly Unbiased Matrix Completion Approach Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang
AAAI 2013 Large-Scale Hierarchical Classification via Stochastic Perceptron Dehua Liu, Bojun Tu, Hui Qian, Zhihua Zhang