Ke Cheng

According to our database, Ke Cheng authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

HGSMAP: a novel heterogeneous graph-based associative percept framework for scenario-based optimal model assignment.

Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng

Knowl. Inf. Syst., January, 2025

On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction.

Ke Cheng, Linzhi Peng, Pengyang Wang, Heng Chang, Junchen Ye, Bowen Du

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Temporal Graph Network for continuous-time dynamic event sequence.

Ke Cheng, Junchen Ye, Xiaodong Lu, Leilei Sun, Bowen Du

Knowl. Based Syst., 2024

A novel autoencoder for structural anomalies detection in river tunnel operation.

Xuyan Tan, Shivakumara Palaiahnakote, Weizhong Chen, Ke Cheng, Bowen Du

Expert Syst. Appl., 2024

Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction.

Ke Cheng, Linzhi Peng, Junchen Ye, Leilei Sun, Bowen Du

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DyGKT: Dynamic Graph Learning for Knowledge Tracing.

Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment.

Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

2023

GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set.

Bowen Du, Xuanxuan Sun, Junchen Ye, Ke Cheng, Jingyuan Wang, Leilei Sun

IEEE Trans. Knowl. Data Eng., December, 2023

Predicting Drug-Target Interaction Via Self-Supervised Learning.

Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2021

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.

Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020

Fast Sparse Connectivity Network Adaption via Meta-Learning.

Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, Xiaopeng Wei

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation.

Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Exploring Multi-level Mutual Information for Drug-target Interaction Prediction.

Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che, Yiwei Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020