张兰 教授
发布时间：2020-08-30浏览次数：5270
E- Mail：zhanglan@ustc.tsg211.com
主要研究方向：大数据，数据隐私保护，数据共享交易
张兰，教授，博士生导师，优青。2007年毕业于清华大学软件学院，获学士学位。2014年毕业于清华大学计算机科学与技术系，获博士学位。2014年-2016年于清华大学软件学院做博士后。2016年到图书馆VIP计算机科学与技术学院担任特任研究员，2019年任特任教授。围绕数据的深度理解，隐私保护和共享交易进行研究，其成果共发表国际知名会议和期刊论文70余篇，其中CCF荐A类会议/期刊论文38篇。研究成果共申请相关中国发明专利65余项，其中已授权20项，申请美国发明专利3项。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年获得首届阿里巴巴达摩院青橙奖。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。在科研项目方面，主持了两项国家重点研发计划课题，一项国家自然科学基金重点项目，一项国家自然科学基金优秀青年科学基金项目，一项国家自然科学基金面上项目。此外还主持了一项中国科大学术领军人才培养计划项目，一项中国科大创新团队培育基金项目等,并与阿里巴巴，腾讯,招商银行等企业进行科研技术项目合作。在学术服务方面，任ACM China 合肥分会联合主席，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、程序委员会委员等，例如担任IEEE INFCOM 2018-2022，Sensys 2021-2022，IEEE ICC 2017-2019, IEEE MASS 2017-2021等知名会议的程序委员会委员，BigCom2019的程序委员会主席，MSN 2016的出版主席，ACM中国图灵大会2020本地主席等。也多次受邀于中国计算机大会，ACM中国图灵大会，日本产业技术综合研究院（AIST），微软亚洲研究院等地进行特邀报告。
获奖情况：
2022 Distinguished Member of the 2022 INFOCOM Technical Program Committee
2021 Distinguished Member of the 2021 INFOCOM Technical Program Committee
2020 IWQOS Video Presentation Award
2019 MSN国际会议唯一最佳论文奖
2018 阿里巴巴青橙奖（全国共9名）
2018 全国高校云计算应用创新大赛唯一全国特等奖（1/1530）
2017 江苏省高层次创新创业人才引进计划（“双创计划”）双创博士
2015 中国计算机学会（CCF）优秀博士学位论文奖（每年全国共10名）
2015 国际计算机学会（ACM）中国优秀博士论文奖（每年全国共2名）
2007 微软创新杯软件设计大赛中国赛区第三名
近期代表性论著（部分）：
共发表国际知名会议和期刊论文75篇，其中CCF荐A类会议/期刊论文38篇。
[1]Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Xiang-Yang Li, InFi: End-to-end Learnable Input Filter for Resource-efficient Mobile-centric Inference, ACM MobiCom 2022. (CCF推荐A类会议)
[2] 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)
[3] 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)
[4] Mu Yuan, Lan Zhang, Xiang-Yang Li, MLink: Linking Black-box Models for Collaborative Multi-model Inference, AAAI 2022. (CCF推荐A类会议)
[5] Shaoang Li, Lan Zhang, Xiang-Yang Li, “Online Pricing with Limited Supply and Time-Sensitive Valuations”, IEEE INFOCOM 2022. (CCF推荐A类会议)
[6] 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)
[7] 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)
[8] 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)
[9] 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)
[10] 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)
[11] 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)
[12] Mu Yuan, Lan Zhang, Xiang-Yang Li, Hui Xiong. Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling. ICDE 2020.[1] 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)
[13] 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. (CCF推荐A类会议)
[14] Tianyi Chen, Lan Zhang, Shicong Zhang, Zilong Li, Baichuan Huang. Extensible Cross-Modal Hashing. IJCAI 2019. (CCF推荐A类会议)
[15]Lan Zhang, Yannan Li, Xiang Xiao, Xiang-Yang Li, Junjun Wang, Anxin Zhou, Qiang Li. CrowdBuy: Privacy-friendly Image Dataset Purchasing via Crowdsourcing. IEEE INFOCOM 2018.(CCF推荐A类会议)
[16] Shuangshuang Xue, Lan Zhang, Anran Li, Xiang-Yang Li, Chaoyi Ruan, Wenchao Huang. AppDNA: App Behavior Profiling via Graph-based Deep Learning. IEEE INFOCOM 2018. (CCF推荐A类会议)
[17] Huiqi Liu, Xiang-Yang Li, Lan Zhang, Yaochen Xie, Zhenan Wu, Qian Dai, Ge Chen, Chunxiao Wan. Finding the Stars in the Fireworks: Deep Understanding of Motion Sensor Fingerprint. IEEE INFOCOM 2018. (CCF推荐A类会议)
[18]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, 2018. (CCF推荐A类期刊)
[19] 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)
[20] 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)
[21] 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)
[22] 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)
[23]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)
[24]Lan Zhang, Kebin Liu, Yonghang Jiang, Xiang-Yang Li, Yunhao Liu, Panlong Yang. Montage: Combine Frames with Movement Continuity for Realtime Multi-User Tracking.IEEE Transactions on Mobile Computing, Volume: 16, Issue: 4, 1019 – 1031,2017. (CCF推荐A类期刊)
[25] Lan Zhang, Xiang-Yang Li, Kebin Liu, Taeho Jung, Yunhao Liu. Message in a Sealed Bottle: Privacy Preserving Friending in Mobile Social Networks. IEEE Transactions on Mobile Computing, 2015. (CCF推荐A类期刊)