Zengmao Wang
11 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Machine Learning
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Computer Vision
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Deep Learning
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Data Science & Analytics
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Healthcare & Medicine
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Natural Language Processing
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Analysis
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Keywords
multi-source domain adaptation
(2)
transfer learning
(2)
knowledge distillation
(2)
contrastive learning
(1)
in-context learning
(1)
domain adaptation
(1)
adversarial robustness
(1)
medical imaging
(1)
knowledge transfer
(1)
efficient computing
(1)
ensemble learning
(1)
multi-label classification
(1)
model architecture
(1)
pseudo labeling
(1)
vision transformer
(1)
remote sensing
(1)
meta tokens
(1)
image interpretation
(1)
parallel computing
(1)
active learning
(1)
Papers
Dynamic Parallel Tree Search for Efficient LLM Reasoning
ACL 2025
When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
ICML 2025
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
NeurIPS 2024
Cycle Self-Refinement for Multi-Source Domain Adaptation
AAAI 2024
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
CVPR 2024
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
IJCAI 2024
What If the Input is Expanded in OOD Detection?
NeurIPS 2024
Multi-Marginal Contrastive Learning for Multi-Label Subcellular Protein Localization
CVPR 2022
Self-paced Supervision for Multi-source Domain Adaptation
IJCAI 2022
Matrix completion with Preference Ranking for Top-N Recommendation
IJCAI 2018
On Gleaning Knowledge from Multiple Domains for Active Learning
IJCAI 2017