Li, Jundong

Feature Selection: A Data Perspective

Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R. P., Tang, J., & Liu, H. (2018) · ACM Computing Surveys

Statistical Methods and InferenceFace and Expression Recognition

Cited by 2,442

Self-supervised learning for recommender systems: A survey

Yu, J., Yin, H., Xia, X., Chen, T., Li, J., & Huang, Z. (2024) · IEEE Transactions on Knowledge and Data Engineering

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 413

A Survey of Learning Causality with Data: Problems and Methods

Guo, R., Cheng, L., Li, J., Hahn, P. R., & Liu, H. (2021) · ACM Computing Surveys

Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques

Cited by 362

Accelerated Attributed Network Embedding

Huang, X., Li, J., & Hu, X. (2017) · Proceedings of the 2017 SIAM International Conference on Data Mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 311

Camrelizumab Plus Apatinib in Patients With Advanced Cervical Cancer (CLAP): A Multicenter, Open-Label, Single-Arm, Phase II Trial

Lan, C., Shen, J., Wang, Y., Li, J., Liu, Z., He, M., Cao, X., Ling, J., Huang, J., Zheng, M., et al. (2020) · Journal of Clinical Oncology

Endometrial and Cervical Cancer TreatmentsCancer Immunotherapy and Biomarkers

Cited by 210

Large Language Models for Data Annotation and Synthesis: A Survey

Tan, Z., Li, D., Wang, S., Beigi, A., Jiang, B., Bhattacharjee, A., Karami, M., Li, J., Cheng, L., & Liu, H. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 178

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks

Li, Y., Huang, X., Li, J., Du, M., & Zou, N. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Anomaly Detection Techniques and ApplicationsAdvanced Graph Neural Networks

Cited by 111

Knowledge Editing for Large Language Models: A Survey

Wang, S., Zhu, Y., Liu, H., Zheng, Z., Chen, C., & Li, J. (2025) · ACM Computing Surveys

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 79

Knowledge Graph-Enhanced Large Language Models via Path Selection

Liu, H., Wang, S., Zhu, Y., Dong, Y., & Li, J. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingMultimodal Machine Learning Applications

Cited by 28

Gray-Box Shilling Attack: An Adversarial Learning Approach

Wang, Z., Gao, M., Li, J., Zhang, J., & Zhong, J. (2022) · ACM Transactions on Intelligent Systems and Technology

Recommender Systems and TechniquesAdversarial Robustness in Machine Learning

Cited by 28

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract)

Peng, Z., Luo, M., Li, J., Xue, L., & Zheng, Q. (2023) · 2023 IEEE 39th International Conference on Data Engineering (ICDE)

Anomaly Detection Techniques and ApplicationsAdvanced Graph Neural Networks

Cited by 2