Wenyu Chen

18 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🏃 Academic Marathon (6) 🏆 Keyword Champion (2) 🗃️ Keyword Collector (93) ⚡ Prolific Year (6) 💎 Century Club (17) 🔥 Unstoppable (5) 📈 Trend Setter ❓ The Questioner

Conferences

AAAI (5) EMNLP (3) ICML (3) ACL (1) ACML (1) AISTATS (1) COLING (1) ECCV (1) IJCAI (1) NAACL (1)

Top co-authors

Li Zhou (6) Wanlong Liu (6) Zhao Kang (5) Malu Zhang (5) DingYi Zeng (4) Shaohuan Cheng (3) Xiang Meng (2) Hong Qu (2) Daniel Hershcovich (2) Xuanting Xie (2)

Keywords

model compression (2) graph neural network (2) sparsity constraint (2) combinatorial optimization (2) event argument extraction (2) spiking neural network (2) energy efficiency (2) representation learning (1) computer vision (1) neural network pruning (1) principal component analysis (1) text classification (1) graph clustering (1) label propagation (1) feature extraction (1) model quantization (1) event camera (1) graph learning (1) noisy label learning (1) transfer learning (1)

Papers

HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference AAAI 2026 Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing AAAI 2025 RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions EMNLP 2025 One Node One Model: Featuring the Missing-Half for Graph Clustering AAAI 2025 Diffusion Sampling Correction via Approximately 10 Parameters ICML 2025 A Compressive Memory-based Retrieval Approach for Event Argument Extraction COLING 2025 Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge NAACL 2025 Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction ACL 2024 FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024 Adaptive Textual Label Noise Learning based on Pre-trained Models EMNLP 2023 Substructure Aware Graph Neural Networks AAAI 2023 Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features EMNLP 2023 Fast as CHITA: Neural Network Pruning with Combinatorial Optimization ICML 2023 Eliminating Gradient Conflict in Reference-Based Line-Art Colorization ECCV 2022 Self-Paced Two-dimensional PCA AAAI 2021 Latent Multi-view Semi-Supervised Classification ACML 2019 Multiple Partitions Aligned Clustering IJCAI 2019 Unifying Orthogonal Monte Carlo Methods ICML 2019