← Authors

Shuai Li

113 papers · 2014–2026 · 17 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (23) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (17) 🏠 Conference Loyalist (21) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (15) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (50) πŸ’Ž Century Club (109) πŸ”₯ Unstoppable (10)

Conferences

CVPR (21) AAAI (19) NIPS (17) ICML (16) IJCAI (8) ICCV (8) ICLR (7) EMNLP (2) ECCV (2) COLING (2) NAACL (2) AISTATS (2) RSS (2) UAI (2) COLT (1) MICCAI (1) WACV (1)

Top co-authors

Lei Zhang (17) Tong Yu (11) Fang Kong (10) Baoxiang Wang (9) Aimin Hao (9) Canzhe Zhao (8) Ruihuang Li (8) Ruofeng Yang (7) Wenfeng Song (7) Chenhang He (7)

Research topics

Optimization & Theory (1)

Keywords

regret bound (21) multi-armed bandit (15) online learning (8) semantic segmentation (7) diffusion model (7) contextual bandit (6) object detection (6) domain adaptation (5) image restoration (5) mutual information (5) representation learning (4) point cloud (4) large language model (4) feature learning (4) self-supervised learning (4) neural network (4) learning to rank (3) generative model (3) regret analysis (3) adversarial learning (3)

Papers

Hierarchical Frequency-Guided Alignment Transformer for Compressed Video Quality Enhancement AAAI 2026
DECON: Reconstruction of Clothed-Geometric Multiple Humans from a Single Image via Geometry-Guided Decoupling AAAI 2026
FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026
IntentMotion: Learning Intent-Aware Human Motion from Language in 3D Scenes AAAI 2026
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM ICCV 2025
Dual-Rate Dynamic Teacher for Source-Free Domain Adaptive Object Detection ICCV 2025
MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation CVPR 2025
SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction CVPR 2025
A Survey on Bandit Learning in Matching Markets IJCAI 2025
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025
Multi-player Multi-armed Bandits with Delayed Feedback IJCAI 2025
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback ICML 2025
Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation UAI 2025
Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme ICML 2025
Optimal Algorithm for Max-Min Fair Bandit ICML 2025
Scaling Laws for Floating–Point Quantization Training ICML 2025
Rethinking the Temperature for Federated Heterogeneous Distillation ICML 2025
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation ICML 2025
Bandit Learning in Matching Markets with Indifference ICLR 2025
Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control ICLR 2025
Online-to-Offline RL for Agent Alignment ICLR 2025
Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training ICCV 2025
Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success RSS 2025
Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features MICCAI 2025
CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks AAAI 2025
Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025
Global-Aware Monocular Semantic Scene Completion with State Space Models ICCV 2025
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce AAAI 2025
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers AISTATS 2025
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering COLING 2025
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs COLING 2025
Improved Analysis for Bandit Learning in Matching Markets NIPS 2024
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NIPS 2024
Learning Versatile Skills with Curriculum Masking NIPS 2024
Few-Shot Diffusion Models Escape the Curse of Dimensionality NIPS 2024
Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models NIPS 2024
Calibrating Reasoning in Language Models with Internal Consistency NIPS 2024
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera AAAI 2024
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility AAAI 2024
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring CVPR 2024
Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model CVPR 2024
UniVS: Unified and Universal Video Segmentation with Prompts as Queries CVPR 2024
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution CVPR 2024
HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models CVPR 2024
Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning CVPR 2024
Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation ECCV 2024
On Stationary Point Convergence of PPO-Clip ICLR 2024
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond ICML 2024
In-context Learning on Function Classes Unveiled for Transformers ICML 2024
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024
Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024
Adversarial Attacks on Online Learning to Rank with Click Feedback NIPS 2023
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback NIPS 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NIPS 2023
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning IJCAI 2023
Online Corrupted User Detection and Regret Minimization NIPS 2023
Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023
MDQE: Mining Discriminative Query Embeddings To Segment Occluded Instances on Challenging Videos CVPR 2023
Stochastic No-regret Learning for General Games with Variance Reduction ICLR 2023
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition ICLR 2023
MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences CVPR 2023
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits AAAI 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning AAAI 2023
SIM: Semantic-Aware Instance Mask Generation for Box-Supervised Instance Segmentation CVPR 2023
DynaMask: Dynamic Mask Selection for Instance Segmentation CVPR 2023
Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023
Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success RSS 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023
Online Clustering of Bandits with Misspecified User Models NIPS 2023
Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera CVPR 2023
Sequential Texts Driven Cohesive Motions Synthesis with Natural Transitions ICCV 2023
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras ICCV 2023
FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation ICCV 2023
One-to-Few Label Assignment for End-to-End Dense Detection CVPR 2023
Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction IJCAI 2022
Thompson Sampling for Bandit Learning in Matching Markets IJCAI 2022
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations EMNLP 2022
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation CVPR 2022
Learning of Global Objective for Network Flow in Multi-Object Tracking CVPR 2022
A Dual Weighting Label Assignment Scheme for Object Detection CVPR 2022
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds CVPR 2022
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback ICML 2022
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation AAAI 2022
Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback AISTATS 2022
Federated online clustering of bandits UAI 2022
Point Cloud Semantic Scene Completion from RGB-D Images AAAI 2021
Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation CVPR 2021
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network CVPR 2021
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NIPS 2021
Understanding Bandits with Graph Feedback NIPS 2021
Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection AAAI 2021
Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud NIPS 2021
Cross-View Contextual Relation Transferred Network for Unsupervised Vehicle Tracking in Drone Videos WACV 2020
Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020
Online Influence Maximization under Linear Threshold Model NIPS 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform ECCV 2020
The Gambler's Problem and Beyond ICLR 2020
Dynamic Anchor Feature Selection for Single-Shot Object Detection ICCV 2019
Online Learning to Rank with Features ICML 2019
Improved Algorithm on Online Clustering of Bandits IJCAI 2019
TopRank: A practical algorithm for online stochastic ranking NIPS 2018
Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN CVPR 2018
On Context-Dependent Clustering of Bandits ICML 2017
Contextual Combinatorial Cascading Bandits ICML 2016
Distributed Clustering of Linear Bandits in Peer to Peer Networks ICML 2016
Online Clustering of Bandits ICML 2014