師資隊伍

主要研究方向

群智感知與計算、時空數據挖掘、隐私保護

科研/教育經曆

2024-至今，長聘副教授（博導），beat365

研究成果概況

王樂業，beat365官方网站長聘副教授、博雅青年學者，中國計算機學會普适計算專委會副秘書長，入選國家級青年人才計劃。長期從事群智感知與計算研究（人工智能與普适計算的交叉研究方向），聚焦于群體泛在感知數據的智能化采集、建模、共享、安全防護等主題。發表國際會議、期刊論文100餘篇，累計引用6900餘次，被引100次以上論文20餘篇。

主要科研項目：

1. 國家自然科學基金面上項目，61972008，城市計算中的跨城市群智知識遷移，2020/01-2023/12，60萬元，主持

Selected Publications

2020年至今代表性論文

期刊

1. D. Chai, L. Wang, L. Yang, J. Zhang, K. Chen, Q. Yang. “A Survey for Federated Learning Evaluations: Goals and Measures”. IEEE Trans. Knowledge and Data Engineering, early access (2024).

2. J. Zhu, L. Wang, X. Han, A. Liu, T. Xie. “Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks toward AI Software Deployment”. IEEE Trans. Software Engineering, 50(3): 376-390 (2024).

3. X. Han, Y. Yang, L. Wang, J. Wu, “Privacy-Preserving Network Embedding against Private Link Inference Attacks”. IEEE Trans. Dependable and Secure Computing, 21(2): 847-859 (2024).

4. L. Wang, D. Chai, X. Liu, L. Chen, K. Chen. “Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework”. IEEE Trans. Knowledge and Data Engineering, 35(4): 3870-3884 (2023).

5. X. Han, L. Wang, W. Fan, “Is Hidden Safe? Location Protection against Machine-Learning Prediction Attacks in Social Networks”. MIS Quarterly, 45(2) (2021).

6. L. Wang, D. Yang, X. Han, D. Zhang, X. Ma, “Mobile Crowdsourcing Task Allocation with Differential-and-Distortion Geo-Obfuscation”. IEEE Trans. Dependable and Secure Computing, 18(2): 967-981 (2021).

7. D. Chai, L. Wang, K. Chen, Q. Yang, “Secure Federated Matrix Factorization”. IEEE Intelligent Systems, 36(5): 11-20 (2021).

8. L. Wang, D. Zhang, D. Yang, B. Y. Lim, X. Han, X. Ma, “Sparse Mobile Crowdsensing with Differential and Distortion Location Privacy”. IEEE Trans. Information Forensics and Security, 15(1): 2735-2749 (2020).

會議

1. J. Zhu, J. Zha, D. Li, L. Wang, “A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability”. CCS 2024.

2. L. Chen, J. Fang, T. Liu, S. Cao, L. Wang, “A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units”. ICDE 2024.

3. L. Chen, J. Fang, Z. Yu, Y. Tong, S. Cao, L. Wang, “A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management”. KDD 2023.

4. C. Huang, L. Wang, X. Han, “Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks”. WWW 2023.

5. R. Ding, F. Rong, X. Han, L. Wang, “Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals”. WWW 2023.

6. D. Chai, L. Wang, J. Zhang, L. Yang, S. Cai, K. Chen, Q. Yang, “Practical Lossless Federated Singular Vector Decomposition Over Billion-Scale Data”. KDD 2022.

7. J. Zhu, L. Wang, X. Han, “Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment”. ASE 2022.