Yi He

Department of Data Science , William & Mary

7 papers in the IJCAI proceedings

IJCAI 2025

A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams

with Zhong Chen, Di Wu, Chen Zhao, Meikang Qiu

doi:10.24963/ijcai.2025/305

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HGEN: Heterogeneous Graph Ensemble Networks

with Jiajun Shen, Yufei Jin, Kaibu Feng, Xingquan Zhu

doi:10.24963/ijcai.2025/685

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How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback

with Manzong Huang, Chenyang Bu, Xindong Wu

doi:10.24963/ijcai.2025/901

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IJCAI 2023

Towards Utilitarian Online Learning -- A Review of Online Algorithms in Open Feature Space

with Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu

doi:10.24963/ijcai.2023/745

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IJCAI 2021

Interpretable Minority Synthesis for Imbalanced Classification

with Fudong Lin, Xu Yuan, Nian-Feng Tzeng

doi:10.24963/ijcai.2021/350

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IJCAI 2019

Online Learning from Capricious Data Streams: A Generative Approach

with Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu

doi:10.24963/ijcai.2019/346

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IJCAI 2018

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization

with Risheng Liu, Shichao Cheng, Xin Fan, Zhongxuan Luo

doi:10.24963/ijcai.2018/342

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AI Journal Division

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