武浩

社会兼职

CCF分布式计算与系统专业委员会执行委员等。

研究领域

服务计算、边缘计算、数据挖掘等。

研究概况

近年来主持和参与国家自然科学基金等10余项课题。在TPDS、TSC、TMC、TKDE、TNNLS、TII、TIM、TETCI、NeuNet、WWWJ、FGCS、KBS、ICWS、ICSOC、DASFAA等期刊/会议上发表论文150余篇。授权发明专利10余项。出版著作3部。获云南省自然科学一等奖、二等奖各1项。担任国际刊物TKDD、TORS、TWeb、TKDE、TNNLS、TSC、TPDS、TBD、TCYB、TCSS、TNSE、TNSM、TII、TIE、FGCS、JSS、KBS等四十余种期刊审稿人.

研究课题

云南省基础研究计划项目：202401BF070001-024、2024/3-2027/2。

国家自然科学基金项目: 62362069、 2024/1-2027/12

国家自然科学基金项目：61962061、2020/1-2023/12。

奖励与荣誉

云南省自然科学一等奖——2025

云南省中青年学术和技术带头人——2024

云南省自然科学二等奖——2020

云南省高层次人才培养支持计划青年拔尖人才—2019

学术成果

Shaowei Qin, Yiji Zhao, Hao Wu, et al. Harnessing the Power of Large Language Model for Effective Web API Recommendation. IEEE Trans. Ind. Informatics, 2025, 21(7): 5360-5370.

Hao Wu, Shuting Tian, Binbin Jin, et al. Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction. IEEE Transactions on Services Computing,  2024, 17(6): 3513-3526

Jiahui Li, Hao Wu, Qiang He, et al. Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning. IEEE Transactions on Services Computing,  2024, 17(2): 509-523

Yueting Fang, Hao Wu, Yiji Zhao, et al. Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(10): 13860-13873

Qian Tang, Yiji Zhao, Hao Wu, et al. Node Clustering on Attributed Graph Using Anchor Sampling Strategy and Debiasing Strategy. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(4): 3017-3028 (2024)

Shige Xu, Lei Zhang, Yin Tang, Chaolei Han, Hao Wu, et al. Channel Attention for Sensor-Based Activity Recognition: Embedding Features into all Frequencies in DCT Domain. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(12): 12497-12512.

Hailong Chen, Hao Wu, Jiahui Li, et al. Keyword-Driven Service Recommendation via Deep Reinforced Steiner Tree Search. IEEE Transactions on Industrial Informatics, 2023, 19(3): 2930-2941

Huiqiang Lian, Jiahui Li, Hao Wu, et al. Toward Effective Personalized Service QoS Prediction From the Perspective of Multi-Task Learning.  IEEE Transactions on Network and Service Management, 2023, 20(3): 2587-2597.

Jiahui Li, Hao Wu, Jiapei Chen, et al. Topology-Aware Neural Model for Highly Accurate QoS Prediction. IEEE Transactions on Parallel and Distributed Systems, 2022, 33(7): 1538-1552. 

Hao Wu, Yunhao Duan, Kun Yue, et al. Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning. IEEE Transactions on Services Computing,  2022, 15(6):3330- 3343. 

Hao Wu, Shaowei Qin, Rencan Nie, et al. Effective Collaborative Representation Learning for Multilabel Text Categorization.  IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(10):5200-5214.

Hao Wu, Zhengxin Zhang, Jiacheng Luo, et al. Multiple Attributes QoS Prediction via Deep Neural Model with Contexts. IEEE Transactions on Services Computing, 2021, 14(4):1084-1096. 

Xin Wang, Xiao Liu, Jin Liu, Xiaomei Chen, Hao Wu. A novel knowledge graph embedding based API recommendation method for Mashup development. World Wide Web, 2021, 24(3): 869-894

Hao Wu, Qimin Zhou, Rencan Nie, Jinde Cao. Effective metric learning with co-occurrence embedding for collaborative recommendations. Neural Networks, 2020, 124: 308-318
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