Qiuru Hai | 海秋茹

Ph.D.| BJUT · Beijing, China

📮: hai97072021@163.com

multi-view learning weakly supervised learning contrastive learning

I am currently pursuing a Ph.D. degree at Beijing University of Technology(BJUT), under the supervision of Professors Zhen Yang and Gengyu Lyu. My research interests mainly include multi-view learning, weakly supervised learning, and contrastive learning.

Education

Ph.D., Computer Science and Technology, Beijing University of Technology, 2023-2027 (expected).
M.E., Computer Application Technology, Beijing Wuzi University, 2020-2023.
B.E., Internet of Things Engineering, Henan University of Engineering, 2015-2019.

Publications

Qiuru Hai, Yongjian Deng, Yuena Lin, Zheng Li, Zhen Yang, Gengyu Lyu. CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label learning[C]. AAAI Conference on Artificial Intelligence (AAAI), 2025: 17005-17013. (CCF A)
Bohang Sun, Yongjian Deng, Yuena Lin, Qiuru Hai, Zhen Yang, Gengyu Lyu. Graph Consistency and Diversity Measurement for Federated Multi-View Clustering[C]. AAAI Conference on Artificial Intelligence (AAAI), 2025: 20663-20671. (CCF A)
Hao Wei, Yongjian Deng, Qiuru Hai, Yuena Lin, Zhen Yang, Gengyu Lyu. Multi-View Multi-Label Classification via View-Label Matching Selection[C]. AAAI Conference on Artificial Intelligence (AAAI), 2025: 21456-21464. (CCF A)
Fei Xue, Qiuru Hai, Tingting Dong, Zhihua Cui, Yuelu Gong. A deep reinforcement learning based hybrid algorithm for efficient resource scheduling in edge computing environment[J]. Information Sciences(INS), 2022, 608: 362-374. (CCF B)
Fei Xue, Qiuru Hai, Yuelu Gong, Siqing You, Yang Cao, Hengliang Tang. RVEA-based multi-objective workflow scheduling in cloud environments[J]. International Journal of Bio-Inspired Computation(IJBIC), 2022, 20(1): 49-57. (JCR Q1)

Qiuru Hai | 海秋茹

Education

Publications

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