Bowen Hao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Hierarchical Reinforcement Learning

Top Venues

Int. J. Intell. Syst.

ACM Trans. Inf. Syst.

Publications

Shenglin Zhang, Jun Zhu, Bowen Hao, Yongqian Sun, Xiaohui Nie, Jingwen Zhu, Xilin Liu, Xiaoqian Li, Yuchi Ma, Dan Pei
Fault Diagnosis for Test Alarms in Microservices through Multi-source Data. SIGSOFT FSE Companion (2024)
Fuxi Niu, Xiaohong Nian, Yong Chen, Maolong Lv, Jinlon Huang, Bowen Hao
Distributed time-varying Nash equilibrium in resilient multi-objective formation control for cyber-physical systems. J. Frankl. Inst. 361 (11) (2024)
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM (2024)
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
A Multi-strategy-based Pre-training Method for Cold-start Recommendation. ACM Trans. Inf. Syst. 41 (2) (2023)
Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei
CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. WWW (2023)
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation. CoRR (2023)
Bowen Hao, Hongzhi Yin, Cuiping Li, Hong Chen
Self-supervised graph learning for occasional group recommendation. Int. J. Intell. Syst. 37 (12) (2022)
Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. WSDM (2021)
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation. CoRR (2021)
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
Self-supervised Graph Learning for Occasional Group Recommendation. CoRR (2021)
Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. CoRR (2020)
Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. ECML/PKDD (4) (2020)
Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen
Few-Shot Representation Learning for Cold-Start Users and Items. APWeb/WAIM (1) (2020)
Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. CoRR (2020)
Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. AAAI (2019)