Wenzhong Li

17 papers · 2018–2026 · 5 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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🗺️ Taxonomy Completionist (48) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🤝 Dynamic Duo (15) 🗃️ Keyword Collector (97) 📈 Trend Setter 💎 Century Club · Bronze ⚡ Prolific Year · Productive

Venues

AAAI (8) IJCAI (4) ACML (2) CVPR (2) ACL (1)

Top co-authors

Sanglu Lu (15) Mingkai Lin (8) Xiaobin Hong (6) Zhiyuan Yu (3) Shijian Xiao (3) Yao Zeng (3) Zhangyue Yin (3) Yuchu Fang (3) Chaoqun Wang (2) Xiangkai Ma (2)

Research topics

Deep Learning (15) Artificial Intelligence (11) Machine Learning (11) Architectures (10) Application Areas (8) Core AI (7) Learning Types · Deep Learning (7) Learning Types · Machine Learning (4) Learning Paradigms · Artificial Intelligence (3) Optimization & Theory · Machine Learning (3) Techniques (3) Core Methods (2) Learning Paradigms · Machine Learning (2) Models (2) Optimization & Theory · Deep Learning (2)

Keywords

graph neural network (6) domain adaptation (3) model compression (3) knowledge distillation (3) convolutional neural network (3) transfer learning (3) variational autoencoder (2) attention mechanism (2) graph representation learning (2) multi-domain learning (2) representation learning (2) domain generalization (1) neural network pruning (1) variational inference (1) robotic manipulation (1) bayesian nonparametrics (1) neural network compression (1) federated learning (1) multi-task learning (1) link prediction (1)

Papers

Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026 Learnable Matrix Profile for Motif Discovery on Multivariate Time Series AAAI 2026 Multimodal Graph Representation Learning with Dynamic Information Pathways AAAI 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 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 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