← Authors

Hui Qian

34 papers · 2014–2026 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) 🀝 Dynamic Duo (23) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (153) πŸ”₯ Unstoppable (12) πŸ’Ž Century Club (33)

Conferences

AAAI (9) IJCAI (9) ICCV (4) ICML (4) AISTATS (3) NIPS (3) ECCV (1) ICLR (1)

Top co-authors

Chao Zhang (24) Zebang Shen (17) Jiahao Xie (10) Hanbin Zhao (9) Tengfei Zhou (6) Weijie Liu (5) Fangyikang Wang (4) Huminhao Zhu (4) Xin Du (4) Chen Li (3)

Keywords

sampling method (4) bayesian inference (3) langevin dynamics (3) stochastic gradient (3) diffusion model (3) markov chain monte carlo (3) particle-based variational inference (2) gradient estimator (2) stochastic optimization (2) projection-free optimization (2) convergence rate (2) variance reduction (2) decentralized optimization (2) variational inference (2) second-order optimization (2) zero-sum game (2) policy gradient (2) stochastic gradient descent (2) policy optimization (1) probabilistic modeling (1)

Papers

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