← Authors

Yuan Zhou

54 papers · 2014–2026 · 14 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (14) πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (9) 🧭 Keyword Pioneer πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (3) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (10) πŸ‘₯ Mega-Team (32) πŸ—ƒοΈ Keyword Collector (210) ⚑ Prolific Year (6) πŸ’Ž Century Club (45) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

AAAI (13) ICML (13) NIPS (8) ICLR (5) AISTATS (3) CVPR (3) COLT (2) ACL (1) CORL (1) IJCAI (1) INTERSPEECH (1) JMLR (1) MICCAI (1) NAACL (1)

Top co-authors

Jian Peng (11) Hanwang Zhang (6) Qingshan Xu (6) Xi Chen (6) Yining Wang (5) Zhizhou Ren (4) Junbao Zhou (4) Zihan Zhang (4) Yuxuan Wang (4) Xiangyang Ji (4)

Research topics

Applications (1) Privacy (1)

Keywords

regret bound (9) multi-armed bandit (7) sample complexity (6) online learning (4) bayesian inference (3) probabilistic programming (3) markov decision process (3) video generation (3) markov chain monte carlo (3) thresholding bandit (3) online algorithm (2) stochastic optimization (2) upper confidence bound (2) diffusion model (2) assortment optimization (2) minimax regret (2) model compression (2) video understanding (2) reinforcement learning (2) knowledge distillation (2)

Papers

Debiasing Diffusion Priors via 3D Attention for Consistent Gaussian Splatting AAAI 2026
DragNeXt: Rethinking Drag-Based Image Editing AAAI 2026
ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding AAAI 2026
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos AAAI 2026
Pushing Rendering Boundaries: Hard Gaussian Splatting AAAI 2026
Phased One-Step Adversarial Equilibrium for Video Diffusion Models AAAI 2026
LookFlow: Training-Free and Efficient High-Resolution Image Synthesis via Dynamic Lookahead Guidance Flow AAAI 2026
Beyond Counting: Evaluating Abstract and Emotional Reasoning in Vision-Language Models AAAI 2026
Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single Image AAAI 2026
Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability MICCAI 2025
Safety-Polarized and Prioritized Reinforcement Learning ICML 2025
On Path to Multimodal Generalist: General-Level and General-Bench ICML 2025
Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits ICLR 2025
Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation CVPR 2025
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 2025
Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models ACL 2025
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search NAACL 2025
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction CVPR 2025
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment ICML 2024
High-Fidelity and Freely Controllable Talking Head Video Generation CVPR 2023
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression INTERSPEECH 2023
Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval AAAI 2023
Learning Sparse Group Models Through Boolean Relaxation ICLR 2023
Robust Situational Reinforcement Learning in Face of Context Disturbances ICML 2023
Learning Long-Term Reward Redistribution via Randomized Return Decomposition ICLR 2022
Proximal Exploration for Model-guided Protein Sequence Design ICML 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NIPS 2022
Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022
Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms IJCAI 2022
Imitation Learning from Observations under Transition Model Disparity ICLR 2022
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity ICML 2021
Near-Optimal MNL Bandits Under Risk Criteria AAAI 2021
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits AISTATS 2021
Probabilistic Programs with Stochastic Conditioning ICML 2021
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition NIPS 2020
Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020
Dynamic Assortment Optimization with Changing Contextual Information JMLR 2020
A PTAS for the Bayesian Thresholding Bandit Problem AISTATS 2020
Adaptive Double-Exploration Tradeoff for Outlier Detection AAAI 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity CORL 2020
Learning Guidance Rewards with Trajectory-space Smoothing NIPS 2020
Multinomial Logit Bandit with Low Switching Cost ICML 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020
Thresholding Bandit with Optimal Aggregate Regret NIPS 2019
Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits COLT 2019
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models AISTATS 2019
Exploration via Hindsight Goal Generation NIPS 2019
Channel Gating Neural Networks NIPS 2019
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy ICLR 2019
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights NIPS 2018
Best Arm Identification in Linear Bandits with Linear Dimension Dependency ICML 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NIPS 2018
Adaptive Multiple-Arm Identification ICML 2017
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014