师资队伍
Faculty
陆佳亮
职务 : 中方专业协调人、副教授、博士生导师
电话 :  邮箱 : jialiang.lu@sjtu.edu.cn
地址 : 
陆佳亮

上海交通大学巴黎卓越工程师学院副院长。上海市科委入库评审专家,承担包括国家自然科学基金、上海市“创新行动”科研项目等。他主要科研方向是人工智能赋能、云计算、大数据系统和网络空间安全,在国内外期刊和会议上发表了多篇文章,曾指导学生获得ACM SIG KDD机器学习赛道金牌。此外他参与的教学成果获得上海市教学成果一等奖,上海交通大学教学成果一等奖等。  


       工作经历

  2018.10-至今:上海交通大学,巴黎卓越工程师学院,副院长

  2013.01-2018.10:上海交通大学,上海交大-巴黎高科卓越工程师学院,副教授

  2010.10-2012.12:上海交通大学,计算机科学与工程系,讲师

  2008.09-2010.10:上海交通大学,计算机科学与工程系,博士后

  2005.11-2007.06:法国电信北京研发中心工作(中国北京),博士研究生


  学习经历

  2004-2008   法国里昂国立应用科学学院

                           博士学位

                           由法国国立信息和自动化研究院INRIA

                           和法国电信研发中心Orange Lab联合培养


  1999-2004  法国里昂国立应用科学学院INSA de Lyon

                           电信工程师学位, 计算机与信息学术硕士双学位


  获得荣誉

  1.ACM SIG KDD CUP 2020 ML Track 2 金牌(指导老师)

   2.2019年上海交通大学教学成果一等奖

   3.2017年上海市优秀教学成果奖一等奖

   4.2016年上海交通大学烛光奖一等奖

   5.2015年上海市文化广播影视管理局科学技术进步奖,一等奖


  近年文章发表

  [1]Hidden Backdoors in Human-Centric Language Models. In Proceedings of ACM Computer and Communication Security 2021 (ACM CCS 2021), (Best Paper Awards Runner-up).

  [2]Adversarial Attacks against Network Intrusion Detection in IoT Systems, Accepted by IEEE Internet of Things Journal, 2021.

  [3]Towards Fast Network Intrusion Detection based on Efficiency-preserving Federated Learning. In Proceedings of 2021 IEEE International Conference on Parallel and Distributed Processing with Applications (ISPA 2021), 2021.

  [4]Topological Graph Convolutional Network based Urban Traffic Flow and Density Prediction. IEEE Transections on Intelligent Transportation Systems, 2020. 

  [5]Towards Secure and Efficient Deep Learning Inference in Dependable IoT Systems. IEEE Internet of Things Journal, 2020.

  [6]Deep Residual Learning based Enhanced JPEG Compression in the Internet of Things. IEEE Transactions on Industrial Informatics, 2020.

  [7]X. Gong, J. Lu, Y. Zhou, et al. “Model Uncertainty Based Annotation Error Fixing for Web Attack Detection”, International Journal of Signal Processing, 2019.

  [8]A Salience & Motion State Based Quality Adjustment for 360-Degree Video Transmission, Proceedings of the 2020 the 4th International Conference on Big Data and Internet of Things. Best presenter Award.

  [9]J. Zhan, X. Liao, Y. Bao, L. Gan, Z. Tan, M. Zhang, R. He, and J. Lu. “An effective feature representation of web log data by leveraging byte pair encoding and TF-IDF”, In Proceedings of the ACM Turing Celebration Conference - China (ACM TURC ‘19). Association for Computing Machinery, New York, NY, USA, Article 62, 1-6, 2019

  [10]H. Cao, J. Lu, and N. Zong  “A Multi-User 360-Video Streaming System for Wireless Network”, In The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI ’19).Brisban Australia, 2019

  [11]X. GONG, Y. Zhou, Y. Bi, et al. “Estimating Web Attack Detection via Model Uncertainty from Inaccurate Annotation”, 2019 6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2019 5th IEEE Inter-national Conference on Edge Computing and Scalable Cloud (EdgeCom), 2019.

   [12]X. Gong, H. Zhu, R. Deng, et al. “Crafting and Detecting Adversarial WebRequests”, The 4th IEEE International Conference on Smart Cloud 2019, 2019.

  [13]X. Gong, J. Lu, Y. Wang, et al. “CECoR-Net: A Character-Level Neural Network Model for Web Attack Detection”, The 4th IEEE International Conference on Smart Cloud 2019, 2019.

  [14]A. Wang, X. Gong, J. Lu “Deep Feature Exgtraction in Intrusion Detection System”, The 4th IEEE International Conference on Smart Cloud 2019, 2019.