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Wenchao Yu

17 papers · 2017–2026 · 9 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (42) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (16) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (94) πŸ’Ž Century Club Β· Bronze

Venues

AAAI (4) EACL (2) EMNLP (2) ICLR (2) ICML (2) NAACL (2) ICCV (1) IJCAI (1) NeurIPS (1)

Top co-authors

Haifeng Chen (16) Wei Cheng (16) Yanchi Liu (10) Xujiang Zhao (6) Bo Zong (5) Jingchao Ni (5) Dongkuan Xu (4) Dongjin Song (4) Xiang Zhang (4) Wei Wang (4)

Research topics

Machine Learning (13) Artificial Intelligence (10) Core AI (9) Deep Learning (8) Core Methods (6) Learning Types Β· Machine Learning (6) Application Areas (5) Data Science & Analytics (4) Architectures (4) Methods (4) Optimization & Theory (3) Natural Language Processing (2) Learning Types Β· Deep Learning (2) Techniques (2) Computer Vision (1)

Keywords

large language model (4) multi-task learning (3) graph neural network (2) graph representation learning (2) inductive learning (2) representation learning (2) link prediction (1) continual learning (1) unsupervised learning (1) model selection (1) black-box optimization (1) few-shot learning (1) data augmentation (1) in-context learning (1) contrastive learning (1) deep learning (1) dynamic routing (1) code generation (1) model interpretability (1) multimodal learning (1)

Papers

DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router EACL 2026 Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement EACL 2026 MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025 Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025 SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025 InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration EMNLP 2024 Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024 Personalized Federated Learning under Mixture of Distributions ICML 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 Multi-Task Recurrent Modular Networks AAAI 2021 Towards Robustness of Deep Neural Networks via Regularization ICCV 2021 Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020 Parameterized Explainer for Graph Neural Network NeurIPS 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020 Link Prediction with Spatial and Temporal Consistency in Dynamic Networks IJCAI 2017