Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification. - Yi He 007; Di Wu 056; Ege Beyazit; Xiaoduan Sun; Xindong Wu 001 (ICTAI, 2018)

Online Feature Selection with Capricious Streaming Features: A General Framework. - Di Wu 056; Yi He 007; Xin Luo 001; Mingsheng Shang 001; Xindong Wu 001 (IEEE BigData, 2019)

Online Learning from Capricious Data Streams: A Generative Approach. - Yi He 007; Baijun Wu; Di Wu 056; Ege Beyazit; Sheng Chen 008; Xindong Wu 001 (IJCAI, 2019)

A Data-Aware Latent Factor Model for Web Service QoS Prediction. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; Xindong Wu 001 (PAKDD (1), 2019)

Generating precise error specifications for C: a zero shot learning approach. - Baijun Wu; John Peter Campora III; Yi He 007; Alexander Schlecht; Sheng Chen 008 (Proc. ACM Program. Lang., 2019)

On Partial Multi-Task Learning. - Yi He 007; Baijun Wu; Di Wu 056; Xindong Wu 001 (ECAI, 2020)

Online Learning to Accelerate Neural Network Inference with Traveling Classifiers. - Ege Beyazit; Yi He 007; Nian-Feng Tzeng; Xindong Wu 001 (ECAI, 2020)

Active Learning with Multi-Granular Graph Auto-Encoder. - Yi He 007; Xu Yuan 001; Nian-Feng Tzeng; Xindong Wu 001 (ICDM, 2020)

Learning with Partial Multi-Outlooks. - Jing Chen; Yi He 007; Vijay Raghavan 001 (IJCNN, 2020)

Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. - Yi He 007; Sheng Chen 008; Thu Nguyen 001; Bruce A. Wade; Xindong Wu 001 (SDM, 2020)

Online Learning in Variable Feature Spaces under Incomplete Supervision. - Yi He 007; Xu Yuan 001; Sheng Chen 008; Xindong Wu 001 (AAAI, 2021)

An Ensemble Latent Factor Model for Highly Accurate Web Service QoS Prediction. - Peng Zhang; Yi He 007; Di Wu 056 (ICBK, 2021)

Online Learning in Variable Feature Spaces with Mixed Data. - Yi He 007; Jiaxian Dong; Bo-Jian Hou; Yu Wang 017; Fei Wang 001 (ICDM, 2021)

Interpretable Minority Synthesis for Imbalanced Classification. - Yi He 007; Fudong Lin; Xu Yuan 001; Nian-Feng Tzeng (IJCAI, 2021)

Unsupervised Lifelong Learning with Curricula. - Yi He 007; Sheng Chen 008; Baijun Wu; Xu Yuan 001; Xindong Wu 001 (WWW, 2021)

Toward Mining Capricious Data Streams: A Generative Approach. - Yi He 007; Baijun Wu; Di Wu 056; Ege Beyazit; Sheng Chen 008; Xindong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; MengChu Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. - Bo Sun; Di Wu 056; Mingsheng Shang 001; Yi He 007 (DASFAA (2), 2022)

A Robust Latent Factor Analysis Model for Incomplete Data Recovery in Wireless Sensor Networks. - Zhikai Yu; Di Wu 056; Yi He 007 (EDGE, 2022)

Online Sparse Streaming Feature Selection with Uncertainty. - Feilong Chen; Di Wu 056; Jie Yang 052; Yi He 007 (ICNSC, 2022)

Camouflaged Poisoning Attack on Graph Neural Networks. - Chao Jiang 002; Yi He 007; Richard Chapman 001; Hongyi Wu (ICMR, 2022)

Online Deep Learning from Doubly-Streaming Data. - Heng Lian; John Scovil Atwood; Bojian Hou; Jian Wu 006; Yi He 007 (ACM Multimedia, 2022)

OR-AutoRec: An Outlier-Resilient Autoencoder-based Recommendation model. - Yuanpeng Hu; Xianmin Wang; Cheng Liang 003; Jing Li 045; Di Wu 056; Yi He 007 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender System. - Cheng Liang 003; Yi He 007; Teng Huang 001; Di Wu 056 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Quantitative combination load forecasting model based on forecasting error optimization. - Song Deng; Fulin Chen; Di Wu 056; Yi He 007; Hui Ge; Yuan Ge (Comput. Electr. Eng., 2022)

Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices. - Di Wu 056; Yi He 007; Xin Luo 001 (CoRR, 2022)

A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data. - Di Wu 056; Peng Zhang; Yi He 007; Xin Luo 001 (CoRR, 2022)

An Online Sparse Streaming Feature Selection Algorithm. - Feilong Chen; Di Wu 056; Jie Yang 052; Yi He 007 (CoRR, 2022)

Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction. - Cheng Liang 003; Teng Huang 001; Yi He 007; Song Deng; Di Wu 056; Xin Luo 001 (CoRR, 2022)

A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. - Di Wu 056; Qiang He 001; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001 (IEEE Trans. Serv. Comput., 2022)

A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection. - Di Wu 056; Yi He 007; Xin Luo 001; MengChu Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Online Random Feature Forests for Learning in Varying Feature Spaces. - Christian Schreckenberger; Yi He 007; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (AAAI, 2023)

Online Semi-supervised Learning with Mix-Typed Streaming Features. - Di Wu 056; Shengda Zhuo; Yu Wang 017; Zhong Chen 003; Yi He 007 (AAAI, 2023)

A Domain Adaptation-based Detector for Cooperative Spectrum Sensing. - Lusi Li; Jie Li; Yi He 007; Laura Slayton (CCNC, 2023)

IKGN: Intention-aware Knowledge Graph Network for POI Recommendation. - Xiaoyu Zhu; Chenyang Bu; Bingbing Dong; Shengwei Ji; Yi He 007; Xindong Wu 001 (ICDM, 2023)

Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space. - Yi He 007; Christian Schreckenberger; Heiner Stuckenschmidt; Xindong Wu 001 (IJCAI, 2023)

MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. - Cheng Liang 003; Di Wu 056; Yi He 007; Teng Huang 001; Zhong Chen 003; Xin Luo 001 (ECML/PKDD (5), 2023)

A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data. - Di Wu 056; Yi He 007; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput., 2023)

A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy Internet. - Song Deng; Yujia Zhai; Di Wu 056; Dong Yue 001; Xiong Fu; Yi He 007 (IEEE Trans. Serv. Comput., 2023)

A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction. - Di Wu 056; Peng Zhang; Yi He 007; Xin Luo 001 (IEEE Trans. Serv. Comput., 2023)

A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack. - Song Deng; Jiantang Zhang; Di Wu 056; Yi He 007; Xiangpeng Xie 001; Xindong Wu 001 (IEEE Trans. Ind. Informatics, 2023)

Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General Framework. - Zijie Pan; Li Hu; Weixuan Tang; Jin Li 002; Yi He 007; Zheli Liu (IEEE Trans. Knowl. Data Eng., 2023)

BCTC-KSM: A blockchain-assisted threshold cryptography for key security management in power IoT data sharing. - Song Deng; Qicong Hu; Di Wu 056; Yi He 007 (Comput. Electr. Eng., 2023)

GLDL: Graph Label Distribution Learning. - Yufei Jin; Richard Gao; Yi He 007; Xingquan Zhu 001 (AAAI, 2024)

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction. - Di Wu 056; Wu Sun; Yi He 007; Zhong Chen 003; Xin Luo 001 (AAAI, 2024)

ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features. - Zhong Chen 003; Yi He 007; Di Wu 056; Liudong Zuo; Keren Li; Wenbin Zhang 002; Zhiqiang Deng (IEEE Big Data, 2024)

Learning Gradual Typing Performance. - Mohammad Wahiduzzaman Khan; Sheng Chen 008; Yi He 007 (ECOOP, 2024)

Urban Functional Zone Delineation Aided by Vision Foundation Models. - Heng Lian; Yi He 007 (ICDM (Workshops), 2024)

Utilitarian Online Learning from Open-World Soft Sensing. - Heng Lian; Yu Huang 017; Xingquan Zhu 001; Yi He 007 (ICDM, 2024)

HGDL: Heterogeneous Graph Label Distribution Learning. - Yufei Jin; Heng Lian; Yi He 007; Xingquan Zhu 001 (NeurIPS, 2024)

Robust Sparse Online Learning for Data Streams with Streaming Features. - Zhong Chen 003; Yi He 007; Di Wu 056; Huixin Zhan; Victor S. Sheng; Kun Zhang 012 (SDM, 2024)

OSFS-Vague: Online streaming feature selection algorithm based on vague set. - Jie Yang 052; Zhijun Wang; Guoyin Wang 001; Yanmin Liu; Yi He 007; Di Wu 056 (CAAI Trans. Intell. Technol., 2024)

Uncertainty Quantification in Table Structure Recognition. - Kehinde Ajayi; Leizhen Zhang; Yi He 007; Jian Wu 006 (CoRR, 2024)

Fairness-Aware Streaming Feature Selection with Causal Graphs. - Leizhen Zhang; Lusi Li; Di Wu 056; Sheng Chen 008; Yi He 007 (CoRR, 2024)

End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial. - Fulai Yang; Di Wu 056; Yi He 007; Li Tao; Xin Luo 001 (CoRR, 2024)

Online Learning From Evolving Feature Spaces With Deep Variational Models. - Heng Lian; Di Wu 056; Bo-Jian Hou; Jian Wu 006; Yi He 007 (IEEE Trans. Knowl. Data Eng., 2024)

MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data. - Di Wu 056; Peng Zhang; Yi He 007; Xin Luo 001 (IEEE Trans. Serv. Comput., 2024)

A Chinese power text classification algorithm based on deep active learning. - Song Deng; Qianliang Li; Renjie Dai; Siming Wei; Di Wu 056; Yi He 007; Xindong Wu 001 (Appl. Soft Comput., 2024)

A Debiasing Autoencoder for Recommender System. - Teng Huang 001; Cheng Liang 003; Di Wu 056; Yi He 007 (IEEE Trans. Consumer Electron., 2024)

A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. - Di Wu 056; Xin Luo 001; Yi He 007; Mengchu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2024)

Metric-Agnostic Continual Learning for Sustainable Group Fairness. - Heng Lian; Chen Zhao; Zhong Chen 003; Xingquan Zhu 001; My T. Thai; Yi He 007 (AAAI, 2025)

Query-Driven Multimodal GraphRAG: Dynamic Local Knowledge Graph Construction for Online Reasoning. - Chenyang Bu; Guojie Chang; Zihao Chen; CunYuan Dang; Zhize Wu; Yi He 007; Xindong Wu 001 (ACL (Findings), 2025)

ℓ1, ∞ Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature Spaces. - Zhong Chen 003; Yi He 007; Di Wu 056; Wenbin Zhang 002; Zhiqiang Deng (SDM, 2025)

How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. - Manzong Huang; Chenyang Bu; Yi He 007; Xindong Wu 001 (CoRR, 2025)

Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery. - Di Wu 056; Zechao Li; Zhikai Yu; Yi He 007; Xin Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Topology-aware Neural Flux Prediction Guided by Physics. - Haoyang Jiang; Jindong Wang; Xingquan Zhu 001; Yi He 007 (CoRR, 2025)

Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features. - Shengda Zhuo; Di Wu 056; Yi He 007; Shuqiang Huang; Xindong Wu 001 (CoRR, 2025)