Dan Wang
22 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
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Conferences
AAAI (4)
ACL (3)
IJCAI (3)
EMNLP (2)
ICCV (2)
ICML (2)
INTERSPEECH (2)
CVPR (1)
MICCAI (1)
NAACL (1)
NIPS (1)
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Research topics
Keywords
semantic segmentation
(2)
large language model
(2)
contrastive learning
(2)
information bottleneck
(2)
knowledge distillation
(2)
conformal prediction
(1)
uncertainty quantification
(1)
few-shot learning
(1)
feature extraction
(1)
domain adaptation
(1)
multi-task learning
(1)
transfer learning
(1)
embedding learning
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prototype learning
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attention mechanism
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variational inference
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multilingual nlp
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information retrieval
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multimodal learning
(1)
semi-supervised learning
(1)
Papers
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
AAAI 2026
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
AAAI 2026
All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG
ACL 2026
Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling
EMNLP 2025
HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning
EMNLP 2025
M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
ICML 2025
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution
AAAI 2025
The Linguistic Connectivities Within Large Language Models
ACL 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
ICCV 2025
Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation
IJCAI 2025
Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
MICCAI 2025
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation
NIPS 2024
VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE
ACL 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
NAACL 2024
Rethinking Few-shot 3D Point Cloud Semantic Segmentation
CVPR 2024
Coarse-To-Fine Tensor Trains for Compact Visual Representations
ICML 2024
Variational Information Bottleneck Based Regularization for Speaker Recognition
INTERSPEECH 2021
Multi-View 3D Reconstruction With Transformers
ICCV 2021
Distributed Machine Learning through Heterogeneous Edge Systems
AAAI 2020
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration
IJCAI 2020
Bidirectional LSTM Network with Ordered Neurons for Speech Enhancement
INTERSPEECH 2020
Metadata-driven Task Relation Discovery for Multi-task Learning
IJCAI 2019