Shuang Li

Hierarchical Prompt Learning for Image- and Text-Based Person Re-Identification AAAI 2026 SPSC: Sparse and Scalable Multi-Modal 3D Occupancy Prediction for Autonomous Driving AAAI 2026 Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation WACV 2026 PortraitSR: Artist-Inspired Prior Learning for Progressive Face Super-Resolution AAAI 2026 VirtualEnv: A Platform for Embodied AI Research AAAI 2026 Thermal-Physics Guided Infrared Image Super-Resolution with Dynamic High-Frequency Amplification AAAI 2026 Dynamic-Static Collaboration for Unsupervised Domain Adaptive Video-Based Visible-Infrared Person Re-Identification AAAI 2026 Logic-Logit: A Logic-Based Approach to Choice Modeling ICLR 2025 Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains ICLR 2025 Evolving Minds: Logic-Informed Inference from Temporal Action Patterns ICML 2025 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization ICML 2025 Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains ICML 2025 From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection ICML 2025 Flow-Based Delayed Hawkes Process UAI 2025 Unified Video Action Model RSS 2025 Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models AAAI 2024 Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding AAAI 2024 Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors ACL 2024 Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding ACL 2024 On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations ACL 2024 Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation AISTATS 2024 Learning Modality Knowledge Alignment for Cross-Modality Transfer ICML 2024 Improving Factuality and Reasoning in Language Models through Multiagent Debate ICML 2024 Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation ICML 2024 Enhancing Human-AI Collaboration Through Logic-Guided Reasoning ICLR 2024 Amortized Network Intervention to Steer the Excitatory Point Processes ICLR 2024 An Unforgeable Publicly Verifiable Watermark for Large Language Models ICLR 2024 SEGMENT+: Long Text Processing with Short-Context Language Models EMNLP 2024 HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets NIPS 2024 Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments NIPS 2024 Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation NIPS 2024 Neuro-Symbolic Temporal Point Processes ICML 2024 Latent Logic Tree Extraction for Event Sequence Explanation from LLMs ICML 2024 Open-vocabulary Panoptic Segmentation with Embedding Modulation ICCV 2023 Evolving Standardization for Continual Domain Generalization over Temporal Drift NIPS 2023 Compositional Foundation Models for Hierarchical Planning NIPS 2023 Language Semantic Graph Guided Data-Efficient Learning NIPS 2023 “Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NIPS 2023 Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation NIPS 2023 Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions NIPS 2023 FIND: A Function Description Benchmark for Evaluating Interpretability Methods NIPS 2023 VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions AAAI 2023 AMR-based Network for Aspect-based Sentiment Analysis ACL 2023 Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing ACL 2023 Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer ACL 2023 Improving Generalization With Domain Convex Game CVPR 2023 On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer CVPR 2023 Robust Test-Time Adaptation in Dynamic Scenarios CVPR 2023 RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction EMNLP 2023 Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models ICCV 2023 Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm ICCV 2023 SP2 : A Second Order Stochastic Polyak Method ICLR 2023 Composing Ensembles of Pre-trained Models via Iterative Consensus ICLR 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023 ConceptFusion: Open-set multimodal 3D mapping RSS 2023 Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation CVPR 2022 Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification CVPR 2022 Explaining Point Processes by Learning Interpretable Temporal Logic Rules ICLR 2022 Local and Global Convergence of General Burer-Monteiro Tensor Optimizations AAAI 2022 Causality Inspired Representation Learning for Domain Generalization CVPR 2022 Compositional Visual Generation with Composable Diffusion Models ECCV 2022 Pre-Trained Language Models for Interactive Decision-Making NIPS 2022 Learning Iterative Reasoning through Energy Minimization ICML 2022 Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 3D Neural Scene Representations for Visuomotor Control CORL 2021 Pareto Domain Adaptation NIPS 2021 Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration ICLR 2021 Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions ICCV 2021 Unsupervised Learning of Compositional Energy Concepts NIPS 2021 Transferable Semantic Augmentation for Domain Adaptation CVPR 2021 Dynamic Domain Adaptation for Efficient Inference CVPR 2021 MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition CVPR 2021 SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition CVPR 2021 Semantic Concentration for Domain Adaptation ICCV 2021 Learning to Compose Visual Relations NIPS 2021 Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation AAAI 2021 One-shot Face Reenactment Using Appearance Adaptive Normalization AAAI 2021 Temporal Logic Point Processes ICML 2020 Compositional Visual Generation with Energy Based Models NIPS 2020 Domain Conditioned Adaptation Network AAAI 2020 The Landscape of Non-convex Empirical Risk with Degenerate Population Risk NIPS 2019 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System ICML 2019 Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification CVPR 2018 Learning Temporal Point Processes via Reinforcement Learning NIPS 2018 Question-Guided Hybrid Convolution for Visual Question Answering ECCV 2018 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017 Person Search With Natural Language Description CVPR 2017 Joint Detection and Identification Feature Learning for Person Search CVPR 2017 Identity-Aware Textual-Visual Matching With Latent Co-Attention ICCV 2017 Fake News Mitigation via Point Process Based Intervention ICML 2017 Learning Feature Pyramids for Human Pose Estimation ICCV 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution NIPS 2015 Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NIPS 2015 M-Statistic for Kernel Change-Point Detection NIPS 2015