2007/08–2014/07 博士，清华大学，计算机科学与技术系。

2003/08–2007/07 学士，清华大学，软件学院。

大数据，隐私保护，数据共享交易

2019/01至今              特任教授，中国科学技术大学计算机学院。

2016/07–2018/12       特任研究员，中国科学技术大学计算机学院。

2014/07–2016/07       博士后，清华大学软件学院。

2010/11–2011/11       研究助理，香港科技大学，计算机系

2007/07–2009/7        带班辅导员，清华大学软件学院。

2015获得中国计算机学会（CCF）优秀博士学位论文奖（每年全国共10人）和国际计算机学会（ACM）中国优秀博士论文奖（每年全国共2人）。2018年获得全国高校云计算应用创新大赛1530支参赛队伍中的唯一全国特等奖。2018年获得首届阿里巴巴青橙奖（全国共9人）。主持了一项国家自然科学基金委重点项目，一项国家自然科学基金优秀青年科学基金项目，两项国家重点研发计划课题和一项国家自然科学基金面上项目。与腾讯，阿里，华为等企业在大数据和隐私保护领域开展了深入的项目合作。在学术服务方面，张兰是ACM中国合肥分会主席，ACM China Young Scientist of Computing Academy (ACM中国未来新星)的发起人和主席之一。目前/曾经担任多个国际知名会议的程序委员会联合主席、出版主席、程序委员会委员。

1．国家自然科学基金优秀青年科学基金项目，物联网跨域感知及计算理论与技术，2019.1-2021.12，项目负责人

2．国家自然科学基金委重点项目，基于区块链的物联网安全技术研究，2020.1-2024.12，项目负责人

3．国家重点研发计划课题，面向大规模异质工业互联网终端的高效安全自适应互联技术，2017.9-2021.9, 课题负责人

4．国家自然科学基金面上项目，保护图像数据隐私的托管计算研究，2016.1-2019.12，项目负责人

5．中国科学技术大学创新团队培育基金项目，跨域大数据的理解，保护与交易，2018-2020，项目负责人

6．腾讯合作项目，计算广告前瞻技术研究，2017.5-2020.5，项目负责人

共发表国际知名会议和期刊论文80余篇，其中CCF荐A类会议/期刊论文40余篇。部分代表性工作如下：
[1] 	Xinben Gao, Lan Zhang. PCAT: Functionality and Data Stealing from Split Learning by Pseudo-Client Attack. USENIX Security 2023. (CCF推荐A类会议)
[2] 	Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Xiang-Yang Li, "InFi: End-to-end Learnable Input Filter for Resource-efficient Mobile-centric Inference", In 2022 ACM 28th Annual International Conference On Mobile Computing And Networking (MobiCom), 2022. (CCF推荐A类会议)
[3] 	Zichong Li, Lan Zhang, Mu Yuan, Miao-Hui Song, Qi Song. Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling. IEEE ICDE 2023. (CCF推荐A类会议)
[4] 	Feng Han, Lan Zhang, Hanwen Feng, Weiran Liu, XiangYang Li. Scape: Scalable collaborative analytics system on private database with malicious security. IEEE ICDE 2022. (CCF推荐A类会议)
[5] 	Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng, “Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning", IEEE ICDE, 2022. (CCF推荐A类会议)
[6] 	Jiayu Lei, Zheng Zhang, Lan Zhang, Xiang-Yang Li, "COCA: Cost-Effective Collaborative Annotation System by Combining Experts and Amateurs", IEEE ICDE, 2022. (CCF推荐A类会议)
[7] 	Mu Yuan, Lan Zhang, Xiang-Yang Li, "MLink: Linking Black-box Models for Collaborative Multi-model Inference", In 2022 AAAI Conference on Artificial Intelligence, 2022. (CCF推荐A类会议)
[8] Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao. Topology-aware Generalization of Decentralized SGD. ICML 2022. （CCF A 类会议, Spotlight）
[9] 	Xuanke You, Lan Zhang, Haikuo Yu, Mu Yuan, Xiang-Yang Li. KATN: Key Activity Detection via Inexact Supervised Learning. UbiComp 2021. (CCF推荐A类会议)
[10] Anran Li, Lan Zhang, Junhao Wang, Feng Han, Xiang-Yang Li. Privacy-preserving Efficient Federated-Learning Model Debugging, IEEE TPDS, 2021. (CCF推荐A类期刊)
[11] Anran Li, Lan Zhang, Juntao Tan, Yaxuan Qin, Junhao Wang, Xiang-Yang Li. Sample-level Data Selection for Federated Learning. IEEE INFOCOM 2021. (CCF推荐A类会议)
[12] Zhuan Shi, Shanyang Jiang, Lan Zhang, Yang Du, Xiang-Yang Li. Crowdsourcing System for Numerical Tasks based on Latent Topic Aware Worker Reliability. IEEE INFOCOM 2021. (CCF推荐A类会议)
[13] Anran Li, Lan Zhang, Junhao Wang, Juntao Tan, Feng Han, Yaxuan Qin, Nikolaos M. Freris, Xiang-Yang Li. Efficient Federated-Learning Model Debugging. IEEE ICDE 2021. (CCF推荐A类会议)
[14] Hong Zhang, Lan Zhang, Lan Xu, Xiangyang Ma, Zhengtao Wu, Cong Tang, Wei Xu, Yiguo Yang. A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation. ACM SIGKDD 2020. (CCF推荐A类会议)
[15] Mu Yuan, Lan Zhang, Xiang-Yang Li, Hui Xiong. Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling. IEEE ICDE 2020. (CCF推荐A类会议)
[16] Xiaoyang Ma, Lan Zhang, Lan Xu, Zhicheng Liu, Ge Chen, Zhili Xiao, Yang Wang, Zhengtao Wu. Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework. ACM SIGKDD 2019, 2019.8.4-2019.8.8. (CCF推荐A类会议)
[17] Tianyi Chen, Lan Zhang, Shicong Zhang, Zilong Li, Baichuan Huang. Extensible Cross-Modal Hashing. IJCAI 2019, 2019.8.10-2019.8.16. (CCF推荐A类会议)
[18] Xiang-Yang Li, Huiqi Liu, Lan Zhang, Zhenan Wu, Yaochen Xie, Ge Chen, Chunxiao Wan, Zhongwei Liang. Finding the Stars in the Fireworks: Deep Understanding of Motion Sensor Fingerprint. IEEE/ACM Transaction on Networking, 2019.8.22, 27(5), 1945-1958, SCIE. （CCF推荐A类期刊）
[19] Lan Zhang, Xiang-Yang Li, Kebin Liu, Cihang Liu, Xuan Ding and Yunhao Liu. Cloak Of Invisibility: Privacy-friendly Photo Capturing and Sharing System. IEEE Transactions on Mobile Computing, 2019, 18(11),2488-2501. (CCF推荐A类期刊)
[20] Lan Zhang, Taeho Jung, Kebin Liu, Xiang-Yang Li, Xuan Ding, Jiaxi Gu, Yunhao Liu. PIC: Enable Large-scale Privacy Preserving Content-based Image Search on Cloud. IEEE Transactions on Parallel and Distributed Systems, Volume: 28, Issue: 11, 3258 – 3271, 2017. (CCF推荐A类期刊)
[21] Cihang Liu, Zhang Lan, Zongqian Liu, Kenbin Liu, Xiang-Yang Li, Yunhao Liu. Lasagna: Towards Deep Hierarchical Understanding and Searching over Mobile Sensing Data. ACM MobiCom, 2016. (CCF推荐A类会议)
[22] Lan Zhang, Kebin, Cihang, XuanDing, XiangYang Li, Yunhao Liu. Privacy-friendly Photo Capturing and Sharing System. UbiComp, 2016. (CCF推荐A类会议)
[23] Lan Zhang, Cheng Bo, Jiahui Hou, Xiangyang Li, Yu Wang, Kebin Liu, Yunhao Liu. Kaleido: You Can Watch It But Cannot Record It. ACM MobiCom, 2015. (CCF推荐A类会议)
[24] Lan Zhang, Xiang-Yang Li, Wenchao Huang, Kebin Liu, Shuwei Zong, Puchun Feng, Taeho Jung, Yunhao Liu. It Starts with iGaze: Visual Attention Driven Networking with Smart Glasses. ACM MobiCom, 2014. (CCF推荐A类会议)