Hui Qian

Mass Concept Erasure in Diffusion Models with Concept Hierarchy AAAI 2026 Efficiently Access Diffusion Fisher: Within the Outer Product Span Space ICML 2025 FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning ICCV 2025 TextToucher: Fine-Grained Text-to-Touch Generation AAAI 2025 Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin ICCV 2025 BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models NeurIPS 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NeurIPS 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 Robust Graph Dictionary Learning ICLR 2023 Towards Optimal Randomized Strategies in Adversarial Example Game AAAI 2023 DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework IJCAI 2022 From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs AAAI 2022 Multi-Curve Translator for High-Resolution Photorealistic Image Translation ECCV 2022 A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021 StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement ICCV 2021 Accelerating Stratified Sampling SGD by Reconstructing Strata IJCAI 2020 Aggregated Gradient Langevin Dynamics AAAI 2020 Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020 Complexities in Projection-Free Stochastic Non-convex Minimization AISTATS 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019 Hessian Aided Policy Gradient ICML 2019 JUMP: a Jointly Predictor for User Click and Dwell Time IJCAI 2018 Towards Memory-Friendly Deterministic Incremental Gradient Method AISTATS 2018 Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication ICML 2018 Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017 Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017 Adaptive Variance Reducing for Stochastic Gradient Descent IJCAI 2016 Constrained Preference Embedding for Item Recommendation IJCAI 2016 Co-Interest Person Detection From Multiple Wearable Camera Videos ICCV 2015 Simple Atom Selection Strategy for Greedy Matrix Completion IJCAI 2015 Making Fisher Discriminant Analysis Scalable ICML 2014