职位:博士研究生
专业:2023级计算机科学与技术学术型博士
研究方向:推荐系统
教育经历:
2016.09-2020.06, 广西师范大学,计算机科学与技术,本科
2020.09-2023.06. 深圳大学,计算机科学与技术,硕士
发表论文论著
[1] Yuhao Wu, Weipeng Cao, Ye Liu, Zhong Ming, Jianqiang Li, Bo Lu. Semantic Auto-encoder With L2-norm Constraint for Zero-shot Learning [C]//2021 13th International Conference on Machine Learning and Computing. 2021.
[2] Weipeng Cao, Yuhao Wu, Chinmay Chakraborty*, Dachuan Li*, Liang Zhao, Soumya Ghosh. Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems [J]. IEEE Transactions on Intelligent Transportation Systems (T-ITS),2022.
[3] Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming. Pairwise Intent Graph Embedding Learning with Knowledge Graph for Context-Aware Recommendation[C].Recsys 2023.2023
[4] Weipeng Cao, Yuhao Wu, Chengchao Huang, Muhammed JA Patwary, Xizhao Wang*.MFF: Multi-modal feature fusion for zero-shot learning[J]. Neurocomputing, 2022.
[5] Weipeng Cao, Yuhao Wu, Yixuan Sun, Haigang Zhang, Jin Ren, Dujuan Gu, Xingkai Wang. A Review on Multi-modal Zero-Shot Learning.Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery.2023.
[6] Weipeng Cao, Yuhao Wu, Qiang Wang, Jiyong Zhang, Xingjian Zhang, Meikang Qiu. A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking [C]//International Conference on Knowledge Science, Engineering and Management. Springer, Cham, 2022.
[7] Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang. Research Progress of Zero-shot Learning Beyond Computer Vision [C]//International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, 2020.
[8] Weipeng Cao, Shengdong Li, Chengchao Huang, Yuhao Wu, Qiang Wang, Dachuan Li, Ye Liu. An Ensemble Fuzziness-based Online Sequential Learning Approach and Its Application [C]//International Conference on Knowledge Science, Engineering and Management. Springer, Cham, 2021.
[9] 曹伟朋,吴宇豪,李大川,明仲,陈贞儒,叶璇.面向开放场景的交通标志识别方法 [J].深圳大学学报理工版,2023.
1.一种用于图像分类的模型训练方法、设备及存储介质.曹伟朋;吴宇豪;庄浩;蔡恒;刘鑫.实质审查阶段.CN202111283546.9
2.一种基于多模态特征融合的零样本学习分类方法及设备.曹伟朋;吴宇豪;张兴俭;庄浩;蔡恒;刘鑫.实质审查阶段.CN202210207381.5
3.一种道路交通标志识别方法、设备及存储介质.曹伟朋;庄浩;张继勇;李大川;吴宇豪.实质审查阶段.CN202110580335.5
中国研究生人工智能创新大赛全国二等奖