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Sanglu Lu

20 papers · 2018–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (58) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (15) πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (112)

Venues

AAAI (6) CVPR (5) IJCAI (5) ACML (2) ACL (1) EMNLP (1)

Top co-authors

Wenzhong Li (15) Mingkai Lin (6) Shiwei Gan (5) Lei Xie (5) Zhiwei Jiang (4) Yafeng Yin (4) Xiaobin Hong (4) Shijian Xiao (3) Yao Zeng (3) Yuchu Fang (3)

Research topics

Deep Learning (16) Artificial Intelligence (12) Machine Learning (11) Architectures (11) Application Areas (8) Core AI (8) Learning Types Β· Deep Learning (8) Computer Vision (5) Learning Paradigms Β· Artificial Intelligence (5) Learning Types Β· Machine Learning (5) Analysis (4) Models (3) Optimization & Theory (3) Techniques (3) Learning Paradigms Β· Machine Learning (2)

Keywords

graph neural network (7) domain adaptation (3) transfer learning (3) convolutional neural network (3) knowledge distillation (3) model compression (3) domain generalization (2) multi-domain learning (2) representation learning (2) variational autoencoder (2) self-supervised learning (2) attention mechanism (2) sign language recognition (2) robotic manipulation (1) temporal modeling (1) neural network pruning (1) bayesian nonparametrics (1) multi-task learning (1) neural network compression (1) federated learning (1)

Papers

Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026 Learning Effective Sign Features without Text for Gloss-free Sign Language Translation CVPR 2026 SignPR: A Progressive Vector-Quantized Diffusion Framework for Sign Language Production CVPR 2026 Thermometer of Thoughts: Enhancing LLM’s Exploration via Attention Temperature Modulation ACL 2026 Unifying Perception and Action: A Hybrid-Modality Pipeline with Implicit Visual Chain-of-Thought for Robotic Action Generation CVPR 2026 Aggregation Mechanism Based Graph Heterogeneous Networks Distillation IJCAI 2025 Contextual Structure Knowledge Transfer for Graph Neural Networks AAAI 2025 PVTNL: Prompting Vision Transformers with Natural Language for Generalizable Person Re-identification EMNLP 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 Label Attentive Distillation for GNN-Based Graph Classification AAAI 2024 SignGraph: A Sign Sequence is Worth Graphs of Nodes CVPR 2024 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 PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search 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