Bowen Hao

According to our database, Bowen Hao authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Distributed time-varying Nash equilibrium in resilient multi-objective formation control for cyber-physical systems.

Fuxi Niu, Xiaohong Nian, Yong Chen, Maolong Lv, Jinlon Huang, Bowen Hao

J. Frankl. Inst., 2024

Motif-based Prompt Learning for Universal Cross-domain Recommendation.

Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data.

Shenglin Zhang, Jun Zhu, Bowen Hao, Yongqian Sun, Xiaohui Nie, Jingwen Zhu, Xilin Liu, Xiaoqian Li, Yuchi Ma, Dan Pei

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

2023

A Multi-strategy-based Pre-training Method for Cold-start Recommendation.

Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen

ACM Trans. Inf. Syst., April, 2023

CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data.

Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei

Proceedings of the ACM Web Conference 2023, 2023

2022

Self-supervised graph learning for occasional group recommendation.

Bowen Hao, Hongzhi Yin, Cuiping Li, Hong Chen

Int. J. Intell. Syst., December, 2022

2021

Self-supervised Graph Learning for Occasional Group Recommendation.

Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen

CoRR, 2021

Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.

Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen

Proceedings of the WSDM '21, 2021

2020

Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach.

Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Few-Shot Representation Learning for Cold-Start Users and Items.

Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

Hierarchical Reinforcement Learning for Course Recommendation in MOOCs.

Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019