山东大学教师主页何伟 Paper Publications Home

hewei Senior Engineer

山东大学软件学院副教授，工学博士，硕士生导师，美国德克萨斯大学达拉斯分校访问学者，中国计算机学会(CCF)高级会员、协同计算专委委员，中国人工智能学会会员，IEEE Transactions on Services Computing、Knowledge and Information Systems、Neural Computing and Applications等多个期刊审稿人和CCF推荐会议PC成员。主要研究领域为时空数据管理与分析、移动服务推荐、服务计算与分布式协同技术、个性化流程管理与服务推荐、智能数据分析与预测等。主持和参与国家重点研发计划... More+

Paper Publications

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Paper Publications

[1] 张帅鹏. GAI-BPAD：基于生成式AI Agent的业务流程异常主动识别框架. 计算机集成制造系统, 2025.

[2] Zhang, Hanlin. Towards Distributed Graph Representation Learning. 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023, 2012, 547-557, 2024.

[3] Zhang, Yixin. Behavioral data assists decisions: exploring the mental representation of digital-self. International Journal of Crowd Science, 5, 185-203, 2021.

[4] Cai, Fenglong. FastPTM: Fast weights loading of pre-trained models for parallel inference service provisioning. PARALLEL COMPUTING, 122, 2024.

[5] Yang, Zhe. AutoMP: A Tool to Automate Performance Testing for Model Placement on GPUs. 22nd IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2024, 1599-1606, 2024.

[6] 张帅鹏. GAI-BPAD：基于生成式AI Agent的业务流程异常主动识别框架. 中文测试, 2025.

[7] 李怡平. A capsule-based reinforcement learning framework for supply–demand matching in mobile crowdsourcing. Expert Systems with Applications, 2024.

[8] . A Survey on Federated Recommendation Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS(TNNLS), 2024.

[9] 孙晓芳. Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. BIBM 2023, 2023.

[10] 崔立真. Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. Data Science and Engineering, 6, 294-309, 2020.

[11] 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.

[12] Yin, Xiaojing. Group task allocation approach for heterogeneous software crowdsourcing tasks. International Journal of Peer-to-Peer Networking and Applications, 2020.

[13] 姜少伟. Modeling Long- and Short-term User Preferences via Self-Supervised Learning for Next POI Recommendation. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 17, 2023.

[14] 张艺馨. Enhancing Sequential Recommendation with Graph Contrastive Learning. 2022.

[15] . Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023.

[16] 钟海婷. Combining User Inherent and Contextual Preferences for Online Recommendation in Location-based Services. ICSOC 2022, 2022.

[17] 李招明. Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC 2022, 2022.

[18] 何伟. Joint Attention Networks with Inherent and Contextual Preference？Awareness for Successive POI Recommendation. Springer Data Science and Engineering, 7, 370, 2022.

[19] 何伟. Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. Data Science and Engineering, Vol 6, 294, 2021.

[20] 徐庸辉. Knowledge Distillation In Medical Data Mining: A Survey. 5th International Conference on Crowd Science and Engineering, 2021.