Wenzhong Li

16 papers · 2018–2026 · 5 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)

🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (13) 🤝 Dynamic Duo (12) 🧬 Topic Evolution 🗃️ Keyword Collector (83) 💎 Century Club (12) 📈 Trend Setter

Conferences

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

Top co-authors

Sanglu Lu (14) Mingkai Lin (8) Xiaobin Hong (6) Shijian Xiao (3) Zhiyuan Yu (3) Zhangyue Yin (3) Yao Zeng (3) Yuchu Fang (3) Chaoqun Wang (2) Xiao Zhang (2)

Keywords

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

Papers

Multimodal Graph Representation Learning with Dynamic Information Pathways AAAI 2026 Thermometer of Thoughts: Enhancing LLM’s Exploration via Attention Temperature Modulation ACL 2026 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 Contextual Structure Knowledge Transfer for Graph Neural Networks AAAI 2025 Aggregation Mechanism Based Graph Heterogeneous Networks Distillation IJCAI 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 Multi-Domain Generalized Graph Meta Learning AAAI 2023 PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search AAAI 2023 Federated Learning With Data-Agnostic Distribution Fusion CVPR 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