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.
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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
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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
Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
ICML 2025
Unified Video Action Model
RSS 2025
SP2 : A Second Order Stochastic Polyak Method
ICLR 2023
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations
AAAI 2022
One-shot Face Reenactment Using Appearance Adaptive Normalization
AAAI 2021
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition
CVPR 2021
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
NeurIPS 2019