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.