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个人信息Personal Information
高级实验师 硕士生导师
性别：男
毕业院校：山东大学
学历：博士研究生毕业
学位：博士生
在职信息：在职
所在单位：山东大学-南洋理工大学人工智能国际联合研究院
入职时间：2005-07-16
办公地点：山东省济南市高新区舜华路1500号山东大学软件园校区数字媒体楼5层
扫描关注
- [1] 苏聪. Multi-dimensional Causality Fairness Learning. IEEE Transactions on Knowledge and Data Engineering, 37, 4166, 2025.
- [2] 康祥平. Incentive-Boosted Federated Crowdsourcing(CCF A). 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 2023.
- [3] 苏聪. Multi-dimensional Causality Fairness Learning. IEEE Transactions on Knowledge and Data Engineering, 2025.
- [4] Cai, Fenglong. FastPTM: Fast weights loading of pre-trained models for parallel inference service provisioning. PARALLEL COMPUTING, 122, 2024.
- [5] 曹艳坤. CMAR: A Pipeline for Cross-Modal Alignment and 3-D Reconstruction of Coronary Arteries Based on Key Bifurcation Vessel Measurements. 《IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT》, 73, 1-14, 2024.
- [6] 鹿旭东. An Online Judgement System Based on Code-generating Large Model. 计算机教育, 122, 2025.
- [7] 李怡平. A capsule-based reinforcement learning framework for supply–demand matching in mobile crowdsourcing. Expert Systems with Applications, 2024.
- [8] 张琳浩. Optimization of Service Utility in 5G Heterogeneous Networks Using Dynamic Game. International Journal of Crowd Science, 8, 159, 2024.
- [9] 闵新平. F2C2T: A Freeze-Free Cross-chain Transfer Consistency Guarantee Mechanism for Data Asset with Associations. 2024 IEEE International Conference on Web Services, ICWS 2024, 1135-1144, 2024.
- [10] 曲静. Development of a novel machine learning-based approach for brain function assessment and integrated software solution. ADVANCED ENGINEERING INFORMATICS, 2024.
- [11] 曲静. The Effects of a Virtual Reality Rehabilitation Task on Elderly Subjects: An Experimental Study Using Multimodal Data. IEEE transactions on neural systems and rehabilitation engineering, 2022.
- [12] 曲静. The Effects of a Virtual Reality Rehabilitation Task on Elderly Subjects: An Experimental Study Using Multimodal Data. IEEE transactions on neural systems and rehabilitation engineering, 1684, 2022.
- [13] 孙晓芳. Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. BIBM 2023, 2023.
- [14] 崔立真. Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. Data Science and Engineering, 6, 294-309, 2020.
- [15] 梁嘉旋. Directed Acyclic Graph Learning on Attributed Heterogeneous Network. IEEE Transactions on Knowledge and Data Engineering, 35, 10845, 2023.
- [16] 崔立真. A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing？Microtasks. 4th Asia-Pacific Web and Web-Age Information Management, Joint Conference on Web and Big Data, APWeb-WAIM 2020, 12317 LNCS, 779-793, 2020.
- [17] Yin, Xiaojing. Group task allocation approach for heterogeneous software crowdsourcing tasks. International Journal of Peer-to-Peer Networking and Applications, 2020.
- [18] 曲静. Development of a novel machine learning-based approach for brain function assessment and integrated software solution. ADVANCED ENGINEERING INFORMATICS, 2024.
- [19] 康祥平. Self-paced Annotations of Crowd Workers. Knowledge and Information Systems, 64, 3235, 2022.
- [20] 王星泽. Lung Cancer Subtype Diagnosis using Weakly-paired Multi-omics Data. Bioinformatics, 38, 5092, 2022.