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Conferences
Wenchao Yu
16 papers at tracked venues · 8 at CORE A* · active 2024–2026
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Venues
NeurIPS
×3
EACL
×2
EMNLP
×2
NAACL
×2
SIGKDD
×2
AAAI
×1
ICDM
×1
ICLR
×1
VLDB
×1
WSDM
×1
Frequent coauthors
Yushan Jiang
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Fali Wang
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Minghao Guo
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Wangyang Ying
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Cong Zeng
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Xinyuan Wang
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ChengAo Shen
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×1
Xianjun Yang
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Jonathan Light
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Geon Lee
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Quan Li
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Tianxiang Zhao
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Papers
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
EACL 2026
·
Minghao Guo
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Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
·
Wangyang Ying
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Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
NeurIPS 2025
·
Cong Zeng
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MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 2025
·
Xinyuan Wang
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Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
NeurIPS 2025
·
ChengAo Shen
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Multi-modal Time Series Analysis: A Tutorial and Survey
SIGKDD 2025
·
Yushan Jiang
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Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
·
Xianjun Yang
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SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
·
Jonathan Light
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TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
·
Geon Lee
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TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
NeurIPS 2025
·
Yushan Jiang
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xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion
ICDM 2025
·
Quan Li
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InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
EMNLP 2024
·
Fali Wang
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InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
VLDB 2024
·
Fali Wang
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Interpretable Imitation Learning with Dynamic Causal Relations
WSDM 2024
·
Tianxiang Zhao
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Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 2024
·
Yijia Xiao
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PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization
SIGKDD 2024
·
Yuyang Ye
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