Skip to content
conftrace_

Shuang Li

97 papers · 2015–2026 · 15 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Shuang Li?

10 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Chi Harold Liu, Binhui Xie, Jian Liang 30 papers · 2020–2026 · CVPR, NeurIPS, AAAI Hide ▲
Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation WACV 2026 SPSC: Sparse and Scalable Multi-Modal 3D Occupancy Prediction for Autonomous Driving AAAI 2026 Thermal Diffusion Matters: Infrared Spatial-Temporal Video Super-Resolution through Heat Conduction Priors CVPR 2026 Thermal-Physics Guided Infrared Image Super-Resolution with Dynamic High-Frequency Amplification AAAI 2026 From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection ICML 2025 Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains ICML 2025 Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation ICML 2024 Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation NeurIPS 2024 Learning Modality Knowledge Alignment for Cross-Modality Transfer ICML 2024 Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments NeurIPS 2024 Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation NeurIPS 2023 Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm ICCV 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023 Evolving Standardization for Continual Domain Generalization over Temporal Drift NeurIPS 2023 Improving Generalization With Domain Convex Game CVPR 2023 Language Semantic Graph Guided Data-Efficient Learning NeurIPS 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 VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions AAAI 2023 “Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NeurIPS 2023 Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022 Causality Inspired Representation Learning for Domain Generalization CVPR 2022 Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation CVPR 2022 Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation AAAI 2021 Dynamic Domain Adaptation for Efficient Inference CVPR 2021 MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition CVPR 2021 Pareto Domain Adaptation NeurIPS 2021 Semantic Concentration for Domain Adaptation ICCV 2021 Transferable Semantic Augmentation for Domain Adaptation CVPR 2021 Domain Conditioned Adaptation Network AAAI 2020
7 papers whose co-authors appear nowhere else under this name