Sanglu Lu
17 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(7)
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
📈
Trend Setter
🗃️
Keyword Collector
(90)
⚡
Prolific Year
(5)
💎
Century Club
(15)
Conferences
AAAI (6)
IJCAI (5)
ACML (2)
CVPR (2)
ACL (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
graph neural network
(7)
transfer learning
(3)
convolutional neural network
(3)
knowledge distillation
(3)
domain adaptation
(3)
model compression
(3)
domain generalization
(2)
variational autoencoder
(2)
multi-domain learning
(2)
sign language recognition
(2)
representation learning
(2)
attention mechanism
(2)
temporal modeling
(1)
neural network pruning
(1)
bayesian nonparametrics
(1)
multi-task learning
(1)
neural network compression
(1)
federated learning
(1)
vision transformer
(1)
self-supervised learning
(1)
Papers
Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
AAAI 2026
Thermometer of Thoughts: Enhancing LLM’s Exploration via Attention Temperature Modulation
ACL 2026
Aggregation Mechanism Based Graph Heterogeneous Networks Distillation
IJCAI 2025
Contextual Structure Knowledge Transfer for Graph Neural Networks
AAAI 2025
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer
IJCAI 2025
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
AAAI 2025
PVTNL: Prompting Vision Transformers with Natural Language for Generalizable Person Re-identification
EMNLP 2025
SignGraph: A Sign Sequence is Worth Graphs of Nodes
CVPR 2024
Label Attentive Distillation for GNN-Based Graph Classification
AAAI 2024
PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search
AAAI 2023
Contrastive Learning for Sign Language Recognition and Translation
IJCAI 2023
Federated Learning With Data-Agnostic Distribution Fusion
CVPR 2023
Multi-Domain Generalized Graph Meta Learning
AAAI 2023
Iterative Deep Model Compression and Acceleration in the Frequency Domain
ACML 2021
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression
ACML 2020
AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition
IJCAI 2019
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning
IJCAI 2018