Shuai Li

Hierarchical Frequency-Guided Alignment Transformer for Compressed Video Quality Enhancement AAAI 2026 Reinforcement Learning on Pre-Training Data ACL 2026 DECON: Reconstruction of Clothed-Geometric Multiple Humans from a Single Image via Geometry-Guided Decoupling AAAI 2026 IntentMotion: Learning Intent-Aware Human Motion from Language in 3D Scenes AAAI 2026 FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026 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 Cross-Modal Contrastive Learning for Emotion Recognition: Aligning ECG with EEG-Derived Features MICCAI 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 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 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation UAI 2025 Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success RSS 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 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 Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training ICCV 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 Global-Aware Monocular Semantic Scene Completion with State Space Models ICCV 2025 Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM ICCV 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 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 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning AAAI 2023 Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023 Online Corrupted User Detection and Regret Minimization NIPS 2023 One-to-Few Label Assignment for End-to-End Dense Detection CVPR 2023 K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023 Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success RSS 2023 MDQE: Mining Discriminative Query Embeddings To Segment Occluded Instances on Challenging Videos 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 MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences CVPR 2023 SIM: Semantic-Aware Instance Mask Generation for Box-Supervised Instance Segmentation CVPR 2023 Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023 Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera CVPR 2023 DynaMask: Dynamic Mask Selection for Instance Segmentation 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 Online Clustering of Bandits with Misspecified User Models NIPS 2023 Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023 Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits AAAI 2023 Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023 Adversarial Attacks on Online Learning to Rank with Click Feedback NIPS 2023 Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback ICML 2022 Federated online clustering of bandits UAI 2022 Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds CVPR 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 Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback AISTATS 2022 DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation AAAI 2022 Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022 KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction IJCAI 2022 Thompson Sampling for Bandit Learning in Matching Markets IJCAI 2022 A Dual Weighting Label Assignment Scheme for Object Detection CVPR 2022 Learning of Global Objective for Network Flow in Multi-Object Tracking CVPR 2022 Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation CVPR 2022 Point Cloud Semantic Scene Completion from RGB-D Images AAAI 2021 Self-Guided Community Detection on Networks with Missing Edges IJCAI 2021 Knowledge-inspired 3D Scene Graph Prediction in Point Cloud NIPS 2021 Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation CVPR 2021 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NIPS 2021 Understanding Bandits with Graph Feedback NIPS 2021 Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network CVPR 2021 Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection AAAI 2021 Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020 Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020 Cross-View Contextual Relation Transferred Network for Unsupervised Vehicle Tracking in Drone Videos WACV 2020 Online Influence Maximization under Linear Threshold Model NIPS 2020 The Gambler's Problem and Beyond ICLR 2020 LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform ECCV 2020 Online Learning to Rank with Features ICML 2019 Improved Algorithm on Online Clustering of Bandits IJCAI 2019 Dynamic Anchor Feature Selection for Single-Shot Object Detection ICCV 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