Wenchao Yu
17 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(8)
🤝
Dynamic Duo
(14)
👑
Triple Crown
🏆
Grand Slam
🧬
Topic Evolution
💎
Century Club
(15)
🗃️
Keyword Collector
(87)
Conferences
AAAI (4)
EACL (2)
EMNLP (2)
ICLR (2)
ICML (2)
NAACL (2)
ICCV (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(4)
multi-task learning
(3)
graph neural network
(2)
representation learning
(2)
data augmentation
(1)
multimodal learning
(1)
link prediction
(1)
model selection
(1)
continual learning
(1)
graph representation learning
(1)
few-shot learning
(1)
in-context learning
(1)
model interpretability
(1)
dynamic routing
(1)
deep learning
(1)
adversarial robustness
(1)
instruction tuning
(1)
time series prediction
(1)
network analysis
(1)
contrastive 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
SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 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
Time Series Contrastive Learning with Information-Aware Augmentations
AAAI 2023
Personalized Federated Learning under Mixture of Distributions
ICML 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
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
AAAI 2020
Parameterized Explainer for Graph Neural Network
NIPS 2020
Robust Graph Representation Learning via Neural Sparsification
ICML 2020
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks
IJCAI 2017