硕士生导师
个人信息Personal Information
教师英文名称：Jinbao Zhu
入职时间：2023-10-30
学历：博士研究生毕业
学位：工学博士学位
性别：男
在职信息：在岗
毕业院校：西南交通大学
所在单位：信息科学与技术学院
报考该导师研究生的方式
欢迎你报考朱金宝老师的研究生，报考有以下方式：
1、参加西南交通大学暑期夏令营活动，提交导师意向时，选择朱金宝老师，你的所有申请信息将发送给朱金宝老师，老师看到后将和你取得联系，点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格，欢迎通过推免方式申请朱金宝老师研究生，可以通过系统的推免生预报名系统提交申请，并选择意向导师为朱金宝老师，老师看到信息后将和你取得联系，点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考朱金宝老师招收的专业和方向，进入复试后提交导师意向时选择朱金宝老师。
4、如果你有兴趣攻读朱金宝老师博士研究生，可以通过申请考核或者统一招考等方式报考该导师博士研究生。
个人简介Personal Profile
朱金宝，博士，西南交通大学特聘副研究员，2021年9月在西南交通大学信息与通信工程专业获得博士学位 (导师：唐小虎教授，IEEE Fellow)，获2022年度中国电子学会信息论分会优秀博士论文奖，2023年度中国通信学会博士学位论文激励计划，2021年9月—2023年8月在香港科技大学（广州）从事博士后工作，研究兴趣包含：隐私计算(privacy-preserving computation)、高性能计算(high-performance computing)、私有信息检索(private information retrieval)，以第一作者在IEEE TIT、JSAIT、JSAC、TIFS、TCOM、ISIT国际学术期刊和会议上发表论文10余篇，主持国家自然科学基金青年项目、中国博士后科学基金第72批面上项目各一项。
欢迎数学、密码学、信息安全、计算机、通信工程相关背景学生报考硕士研究生，来信请附上个人简历和本科阶段成绩单，联系邮箱：jinbaozhu@swjtu.edu.cn
期刊论文：
[1] Jinbao Zhu, Qifa Yan, Xiaohu Tang and Ying Miao, “Capacity-achieving private information retrieval schemes from uncoded storage constrained servers with low sub-packetization,” IEEE Transactions on Information Theory, vol. 67, no. 8, pp. 5370-5386, Aug. 2021.
[2] Jinbao Zhu, Qifa Yan, Xiaohu Tang and Songze Li, “Symmetric private polynomial computation from Lagrange encoding,” IEEE Transactions on Information Theory, vol. 68, no. 4, pp. 2704-2718, April 2022.
[3] Jinbao Zhu, Qifa Yan, Chao Qi and Xiaohu Tang, “A new capacity-achieving private information retrieval scheme with (almost) optimal file length for coded servers,” IEEE Transactions on Information Forensics and Security, vol. 15, pp. 1248-1260, 2020.
[4] Jinbao Zhu, Songze Li and Jie Li, “Information-theoretically private matrix multiplication from mds-coded storage,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 1680-1695, 2023.
[5] Jinbao Zhu, Qifa Yan and Xiaohu Tang, “Multi-user blind symmetric private information retrieval from coded servers,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 3, pp. 815-831, March 2022.
[6] Jinbao Zhu and Songze Li, “A systematic approach towards efficient private matrix multiplication,” IEEE Journal on Selected Areas in Information Theory, vol. 3, no. 2, pp. 257-274, June 2022.
[7] Jinbao Zhu, Qifa Yan and Xiaohu Tang, “Improved constructions for secure multi-party batch matrix multiplication,” IEEE Transactions on Communications, vol. 69, no. 11, pp. 7673-7690, Nov. 2021.
[8] Jinbao Zhu, Hengxuan Tang, Songze Li, and Yijia Chang, “Generalized lagrange coded computing: A flexible computation-communication tradeoff for resilient, secure, and private computation,” IEEE Transactions on Communications, 2024.
[9] Jinbao Zhu and Xiaohu Tang, “Secure batch matrix multiplication from grouping lagrange encoding,” IEEE Communications Letters, vol. 25, no. 4, pp. 1119-1123, April 2021.
会议论文：
[1] Jinbao Zhu and Songze Li, “Generalized Lagrange coded computing: A flexible computation-communication tradeoff,” 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, 2022, pp. 832-837.
[2] Jinbao Zhu, Lanping Li, Xiaohu Tang, and Ping Deng, “Private multiple linear computation: A flexible communication-computation tradeoff,” 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 2024, pp. 939-944
[3] Jiaxiang Tang, Jinbao Zhu, Songze Li, and Lichao Sun, “Secure embedding aggregation for federated representation learning,” 2023 IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, 2023, pp. 2392-2397.