← Authors

Shuang Li

95 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (11) 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (22) πŸ”₯ Unstoppable (10) ❓ The Questioner πŸ’Ž Century Club (89) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (352)

Conferences

NIPS (20) AAAI (14) ICML (14) CVPR (13) ICLR (10) ICCV (7) ACL (6) ECCV (2) EMNLP (2) RSS (2) AISTATS (1) CORL (1) JMLR (1) UAI (1) WACV (1)

Top co-authors

Antonio Torralba (14) Chi Harold Liu (14) Yilun Du (13) Binhui Xie (12) Le Song (9) Jian Liang (9) Igor Mordatch (8) Wei Li (7) Xiaogang Wang (6) Aiwei Liu (6)

Keywords

domain adaptation (10) transfer learning (7) person re-identification (6) semantic segmentation (6) domain generalization (5) large language model (5) neural network (5) energy-based model (5) temporal point process (4) cross-modal retrieval (3) diffusion model (3) reinforcement learning (3) contrastive learning (3) active learning (3) point cloud (3) few-shot learning (3) feature alignment (3) data augmentation (3) semi-supervised learning (3) representation learning (3)

Papers

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
β€œWhy 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