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ORCIDBowen Hao
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2020 – today
- 2024
[j3]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): 106903 (2024)- [c7]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: 115-125 - [c6]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM 2024: 257-265 - 2023
- [j2]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): 31:1-31:24 (2023) - [c5]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: 2937-2947 - [i5]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation. CoRR abs/2310.13303 (2023) - 2022
- [j1]Bowen Hao, Hongzhi Yin, Cuiping Li, Hong Chen:
Self-supervised graph learning for occasional group recommendation. Int. J. Intell. Syst. 37(12): 10880-10902 (2022) - 2021
- [c4]Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. WSDM 2021: 265-273 - [i4]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
Self-supervised Graph Learning for Occasional Group Recommendation. CoRR abs/2112.02274 (2021) - [i3]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation. CoRR abs/2112.02275 (2021) - 2020
- [c3]Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen:
Few-Shot Representation Learning for Cold-Start Users and Items. APWeb/WAIM (1) 2020: 363-377 - [c2]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: 36-51 - [i2]Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. CoRR abs/2012.07064 (2020) - [i1]Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. CoRR abs/2012.14234 (2020)
2010 – 2019
- 2019
- [c1]Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun:
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. AAAI 2019: 435-442
Coauthor Index
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