Yi He - RankMe

93 papers A* 23A 6B 4Journal 44Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	COMBA: Cross Batch Aggregation for Learning Large Graphs with Context Gating State Space Models. CoRR Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
2026	A*	`conf`	Federated Latent Factor Learning for Privacy-Preserving Spatio-Temporal Signal Recovery. WWW Chengjun Yu, Di Wu, Yi He, Jia Chen, Xin Luo
2026	J	`jnl`	Multimetric Autoencoder for Representing High-Dimensional and Incomplete Data. IEEE Trans. Syst. Man Cybern. Syst. Di Wu, Cheng Liang, Yi He, Yan Qiao, Xin Luo
2026	J	`jnl`	Non-Gradient Hash Factor Learning for High-Dimensional and Incomplete Data Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Di Wu, Shihui Li, Yi He, Xin Luo, Xinbo Gao
2026	J	`jnl`	PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised MMEA. CoRR Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu
2026	—	`conf`	PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment. KDD (1) Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu
2026	A*	`conf`	Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG. AAAI Manzong Huang, Chenyang Bu, Yi He, Xingrui Zhuo, Xindong Wu
2026	J	`jnl`	Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG. CoRR Manzong Huang, Chenyang Bu, Yi He, Xingrui Zhuo, Xindong Wu
2026	J	`jnl`	SADD-RFCO: semi-supervised anomalous data detection based on random forest with co-training. Knowl. Inf. Syst. Song Deng, Mengfei Sun, Lei Duan, Yi He
2025	A*	`conf`	A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams. IJCAI Zhong Chen, Yi He, Di Wu, Chen Zhao, Meikang Qiu
2025	J	`jnl`	Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features. CoRR Shengda Zhuo, Di Wu, Yi He, Shuqiang Huang, Xindong Wu
2025	A*	`conf`	HGEN: Heterogeneous Graph Ensemble Networks. IJCAI Jiajun Shen, Yufei Jin, Kaibu Feng, Yi He, Xingquan Zhu
2025	J	`jnl`	HGEN: Heterogeneous Graph Ensemble Networks. CoRR Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
2025	A*	`conf`	How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. IJCAI Manzong Huang, Chenyang Bu, Yi He, Xindong Wu
2025	J	`jnl`	How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. CoRR Manzong Huang, Chenyang Bu, Yi He, Xindong Wu
2025	J	`jnl`	Insulator defect detection from aerial images in adverse weather conditions. Appl. Intell. Song Deng, Lin Chen, Yi He
2025	J	`jnl`	Interpretable Individual Manatee Identification Using Sketch Images and Deep Neural Networks. IEEE Access Zhiqiang Wang, Sheri L. Barton, Jennifer H. Johnson, Yi He, Xingquan Zhu
2025	A*	`conf`	LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation. ICDM Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
2025	J	`jnl`	LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation. CoRR Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
2025	A*	`conf`	Metric-Agnostic Continual Learning for Sustainable Group Fairness. AAAI Heng Lian, Chen Zhao, Zhong Chen, Xingquan Zhu, My T. Thai, Yi He
2025	J	`jnl`	Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features. ACM Trans. Knowl. Discov. Data Shengda Zhuo, Di Wu, Yi He, Shuqiang Huang, Xindong Wu
2025	J	`jnl`	Online Outlier Detection in Open Feature Spaces. IEEE Trans. Knowl. Data Eng. Heng Lian, Yi He, Di Wu, Zhong Chen, Xingquan Zhu, Xindong Wu
2025	—	`conf`	Query-Driven Multimodal GraphRAG: Dynamic Local Knowledge Graph Construction for Online Reasoning. ACL (Findings) Chenyang Bu, Guojie Chang, Zihao Chen, CunYuan Dang, Zhize Wu, Yi He, Xindong Wu
2025	J	`jnl`	Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery. IEEE Trans. Neural Networks Learn. Syst. Di Wu, Zechao Li, Zhikai Yu, Yi He, Xin Luo
2025	—	`conf`	The 2nd International Workshop on Artificial Intelligence for the Science of Science. JCDL Jian Wu, Sarah Rajtmajer, Yian Yin, Yi He, Stasa Milojevic
2025	J	`jnl`	Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems. CoRR Jiaxi Yang, Mengqi Zhang, Yiqiao Jin, Hao Chen, Qingsong Wen, Lu Lin, Yi He, Weijie Xu, James Evans, Jindong Wang
2025	A*	`conf`	Topology-aware Neural Flux Prediction Guided by Physics. ICML Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He
2025	J	`jnl`	Topology-aware Neural Flux Prediction Guided by Physics. CoRR Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He
2025	—	`conf`	Uncertainty-Aware Complex Scientific Table Data Extraction. ICDAR (3) Kehinde Ajayi, Yi He, Jian Wu
2025	A	`conf`	ℓ SDM Zhong Chen, Yi He, Di Wu, Wenbin Zhang, Zhiqiang Deng
2024	J	`jnl`	A Chinese power text classification algorithm based on deep active learning. Appl. Soft Comput. Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu
2024	J	`jnl`	A Debiasing Autoencoder for Recommender System. IEEE Trans. Consumer Electron. Teng Huang, Cheng Liang, Di Wu, Yi He
2024	J	`jnl`	A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. IEEE Trans. Neural Networks Learn. Syst. Di Wu, Xin Luo, Yi He, MengChu Zhou
2024	J	`jnl`	End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial. CoRR Fulai Yang, Di Wu, Yi He, Li Tao, Xin Luo
2024	J	`jnl`	Fairness-Aware Streaming Feature Selection with Causal Graphs. CoRR Leizhen Zhang, Lusi Li, Di Wu, Sheng Chen, Yi He
2024	A*	`conf`	GLDL: Graph Label Distribution Learning. AAAI Yufei Jin, Richard Gao, Yi He, Xingquan Zhu
2024	A*	`conf`	HGDL: Heterogeneous Graph Label Distribution Learning. NeurIPS Yufei Jin, Heng Lian, Yi He, Xingquan Zhu
2024	A	`conf`	Learning Gradual Typing Performance. ECOOP Mohammad Wahiduzzaman Khan, Sheng Chen, Yi He
2024	A*	`conf`	MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction. AAAI Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo
2024	J	`jnl`	MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data. IEEE Trans. Serv. Comput. Di Wu, Peng Zhang, Yi He, Xin Luo
2024	J	`jnl`	OSFS-Vague: Online streaming feature selection algorithm based on vague set. CAAI Trans. Intell. Technol. Jie Yang, Zhijun Wang, Guoyin Wang, Yanmin Liu, Yi He, Di Wu
2024	J	`jnl`	Online Learning From Evolving Feature Spaces With Deep Variational Models. IEEE Trans. Knowl. Data Eng. Heng Lian, Di Wu, Bo-Jian Hou, Jian Wu, Yi He
2024	A	`conf`	Robust Sparse Online Learning for Data Streams with Streaming Features. SDM Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
2024	J	`jnl`	Uncertainty Quantification in Table Structure Recognition. CoRR Kehinde Ajayi, Leizhen Zhang, Yi He, Jian Wu
2024	—	`conf`	Urban Functional Zone Delineation Aided by Vision Foundation Models. ICDM (Workshops) Heng Lian, Yi He
2024	A*	`conf`	Utilitarian Online Learning from Open-World Soft Sensing. ICDM Heng Lian, Yu Huang, Xingquan Zhu, Yi He
2024	B	`conf`	ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features. IEEE Big Data Zhong Chen, Yi He, Di Wu, Liudong Zuo, Keren Li, Wenbin Zhang, Zhiqiang Deng
2023	—	`conf`	A Domain Adaptation-based Detector for Cooperative Spectrum Sensing. CCNC Lusi Li, Jie Li, Yi He, Laura Slayton
2023	J	`jnl`	A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. Di Wu, Peng Zhang, Yi He, Xin Luo
2023	J	`jnl`	A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data. IEEE Trans. Emerg. Top. Comput. Di Wu, Yi He, Xin Luo
2023	J	`jnl`	A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy Internet. IEEE Trans. Serv. Comput. Song Deng, Yujia Zhai, Di Wu, Dong Yue, Xiong Fu, Yi He
2023	J	`jnl`	A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack. IEEE Trans. Ind. Informatics Song Deng, Jiantang Zhang, Di Wu, Yi He, Xiangpeng Xie, Xindong Wu
2023	J	`jnl`	BCTC-KSM: A blockchain-assisted threshold cryptography for key security management in power IoT data sharing. Comput. Electr. Eng. Song Deng, Qicong Hu, Di Wu, Yi He
2023	—	`ed.`	IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023 ICDM (Workshops) Jihe Wang, Yi He, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz
2023	A*	`conf`	IKGN: Intention-aware Knowledge Graph Network for POI Recommendation. ICDM Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu
2023	—	`conf`	MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. ECML/PKDD (5) Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo
2023	A*	`conf`	Online Random Feature Forests for Learning in Varying Feature Spaces. AAAI Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2023	A*	`conf`	Online Semi-supervised Learning with Mix-Typed Streaming Features. AAAI Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He
2023	J	`jnl`	Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General Framework. IEEE Trans. Knowl. Data Eng. Zijie Pan, Li Hu, Weixuan Tang, Jin Li, Yi He, Zheli Liu
2023	A*	`conf`	Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space. IJCAI Yi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu
2022	J	`jnl`	A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. IEEE Trans. Knowl. Data Eng. Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2022	J	`jnl`	A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection. IEEE Trans. Syst. Man Cybern. Syst. Di Wu, Yi He, Xin Luo, MengChu Zhou
2022	J	`jnl`	A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data. CoRR Di Wu, Peng Zhang, Yi He, Xin Luo
2022	J	`jnl`	A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang
2022	—	`conf`	A Robust Latent Factor Analysis Model for Incomplete Data Recovery in Wireless Sensor Networks. EDGE Zhikai Yu, Di Wu, Yi He
2022	J	`jnl`	An Online Sparse Streaming Feature Selection Algorithm. CoRR Feilong Chen, Di Wu, Jie Yang, Yi He
2022	—	`conf`	AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender System. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Cheng Liang, Yi He, Teng Huang, Di Wu
2022	B	`conf`	Camouflaged Poisoning Attack on Graph Neural Networks. ICMR Chao Jiang, Yi He, Richard Chapman, Hongyi Wu
2022	J	`jnl`	Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices. CoRR Di Wu, Yi He, Xin Luo
2022	J	`jnl`	Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction. CoRR Cheng Liang, Teng Huang, Yi He, Song Deng, Di Wu, Xin Luo
2022	—	`conf`	OR-AutoRec: An Outlier-Resilient Autoencoder-based Recommendation model. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Yuanpeng Hu, Xianmin Wang, Cheng Liang, Jing Li, Di Wu, Yi He
2022	A*	`conf`	Online Deep Learning from Doubly-Streaming Data. ACM Multimedia Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He
2022	J	`jnl`	Online Deep Learning from Doubly-Streaming Data. CoRR Heng Lian, John Scovil Atwood, Bojian Hou, Jian Wu, Yi He
2022	—	`conf`	Online Sparse Streaming Feature Selection with Uncertainty. ICNSC Feilong Chen, Di Wu, Jie Yang, Yi He
2022	J	`jnl`	Quantitative combination load forecasting model based on forecasting error optimization. Comput. Electr. Eng. Song Deng, Fulin Chen, Di Wu, Yi He, Hui Ge, Yuan Ge
2022	—	`conf`	Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. DASFAA (2) Bo Sun, Di Wu, Mingsheng Shang, Yi He
2021	J	`jnl`	A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, MengChu Zhou
2021	—	`conf`	An Ensemble Latent Factor Model for Highly Accurate Web Service QoS Prediction. ICBK Peng Zhang, Yi He, Di Wu
2021	A*	`conf`	Interpretable Minority Synthesis for Imbalanced Classification. IJCAI Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng
2021	A*	`conf`	Online Learning in Variable Feature Spaces under Incomplete Supervision. AAAI Yi He, Xu Yuan, Sheng Chen, Xindong Wu
2021	A*	`conf`	Online Learning in Variable Feature Spaces with Mixed Data. ICDM Yi He, Jiaxian Dong, Bo-Jian Hou, Yu Wang, Fei Wang
2021	J	`jnl`	Toward Mining Capricious Data Streams: A Generative Approach. IEEE Trans. Neural Networks Learn. Syst. Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
2021	A*	`conf`	Unsupervised Lifelong Learning with Curricula. WWW Yi He, Sheng Chen, Baijun Wu, Xu Yuan, Xindong Wu
2020	A*	`conf`	Active Learning with Multi-Granular Graph Auto-Encoder. ICDM Yi He, Xu Yuan, Nian-Feng Tzeng, Xindong Wu
2020	A	`conf`	Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. SDM Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu
2020	B	`conf`	Learning with Partial Multi-Outlooks. IJCNN Jing Chen, Yi He, Vijay Raghavan
2020	A	`conf`	On Partial Multi-Task Learning. ECAI Yi He, Baijun Wu, Di Wu, Xindong Wu
2020	A	`conf`	Online Learning to Accelerate Neural Network Inference with Traveling Classifiers. ECAI Ege Beyazit, Yi He, Nian-Feng Tzeng, Xindong Wu
2019	—	`conf`	A Data-Aware Latent Factor Model for Web Service QoS Prediction. PAKDD (1) Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2019	J	`jnl`	Generating precise error specifications for C: a zero shot learning approach. Proc. ACM Program. Lang. Baijun Wu, John Peter Campora III, Yi He, Alexander Schlecht, Sheng Chen
2019	—	`conf`	Online Feature Selection with Capricious Streaming Features: A General Framework. IEEE BigData Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu
2019	A*	`conf`	Online Learning from Capricious Data Streams: A Generative Approach. IJCAI Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
2018	B	`conf`	Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification. ICTAI Yi He, Di Wu, Ege Beyazit, Xiaoduan Sun, Xindong Wu