Hui Qian
34 papers · 2014–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π£ Hot Topic Early Bird
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Hot Topic Early Bird
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Cross-Pollinator
(12)
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Renaissance Researcher
(5)
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Dynamic Duo
(23)
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Grand Slam
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Deep Specialist
(10)
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Topic Evolution
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Keyword Collector
(153)
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Unstoppable
(12)
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Century Club
(33)
Conferences
AAAI (9)
IJCAI (9)
ICCV (4)
ICML (4)
AISTATS (3)
NIPS (3)
ECCV (1)
ICLR (1)
Top co-authors
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