Leye Wang
9 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π Conference Polyglot (6)
π
Academic Marathon
(5)
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Cross-Pollinator
(10)
π
Grand Slam
π
Conference Pioneer
Conferences
AAAI (2)
ACL (2)
IJCAI (2)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
transfer learning
(1)
domain adaptation
(1)
attention mechanism
(1)
data augmentation
(1)
privacy preservation
(1)
spatiotemporal modeling
(1)
knowledge graph
(1)
disentangled representation
(1)
recurrent neural network
(1)
deep neural network
(1)
spatial correlation
(1)
graph convolution network
(1)
pretrained language model
(1)
spatio-temporal prediction
(1)
label sparsity
(1)
gated recurrent unit
(1)
demand forecasting
(1)
drug-drug interaction prediction
(1)
multi-task semi-supervised learning
(1)
spatiotemporal datum
(1)
Papers
Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models
ACL 2026
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
NIPS 2024
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
ICML 2024
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks
ACL 2023
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
ICLR 2023
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
AAAI 2019
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
IJCAI 2019
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction
IJCAI 2019
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
AAAI 2019