肖亮个人主页

Liang Xiao

Professor

Department of Informatics and Communication Engineering, Xiamen University

IEEE Senior member

Office: Room 401A, Xingzheng Lou, Haiyun, Xiamen University, Xiamen, Fujian, China 361005

Email: lxiao@xmu.edu.cn, adalittlel@gmail.com

Education:

Ph.D. Electrical and Computer Engineering, May 2009

Rutgers University, Piscataway, NJ

M.S. Electrical Engineering, July 2003

Tsinghua University, Beijing, China

B.A. Communication Engineering, July 2000

Nanjing University of Posts & Telecommunications, Nanjing, China

Research Interests:

Network security, wireless communications, smart grids.

Professional Experience:

Professor , Xiamen University. Department of Communication Engineering, China. 2013-current.

Associate Professor, Xiamen University. Department of Communication Engineering, China. 2009-2013.

Visiting Scholar, Princeton Univ., Department of Electrical Engineering, NJ. June-Sept. 2013.

Visiting Scholar, Virginia Tech, Department of Computer Science, VA. June-Sept. 2012.

Visiting Scholar, University of Maryland, Department of Electrical & Computer Engineering, College Park, MD. June-Sept. 2011.

Visiting Scholar, City University of Hong Kong, Department of Electronic Engineering, Hong Kong. May 14-19th, 2011.

Graduate Research Assistant, WINLAB, Rutgers University, Department of Electrical and Computer Engineering, and WINLAB. East Brunswick, NJ. 2005-2009.

Research Intern, InterDigital, King of Prussia, PA. 2008.

Research Intern, Bell Lab Innovations, Alcatel-Lucent, Whippany, NJ. 2007.

Graduate Teaching Assistant, Rutgers University, Department of Electrical and Computer Engineering. East Brunswick, NJ. 2004-2005.

Graduate Teaching Assistant, North Carolina State University, Department of Electrical and Computer Engineering. Raleigh, NC. 2003-2004.

Graduate Research Assistant, Tsinghua University, Department of Electrical Engineering and State Key Lab on Microwave & Digital Communication. Beijing, China. 2000-2003.

Liang Xiao is currently a Professor in the Department of Informatics and Communication Engineering, Xiamen University, Fujian, China. As an IEEE Senior member, she has served in several editorial roles, including an associate editor of IEEE Transactions on Information Forensics & Security, IEEE Transactions on Communication and IEEE Transactions on Dependable and Secure Computing, and Guest Editor of IEEE Journal on Selected Topics in Signal Processing. Her research interests include wireless security, privacy protection, and wireless communications. She published two books and three book chapters. She won the best paper award for 2017 IEEE ICC, 2018 IEEE ICCS and 2016 IEEE INFOCOM Bigsecurity WS. She received the B.S. degree in Communication engineering from Nanjing University of Posts and Telecommunications, China, in 2000, the M.S. degree in Electrical engineering from Tsinghua University, China, in 2003, and the Ph.D. degree in Electrical engineering from Rutgers University, NJ, in 2009. She was a visiting professor with Princeton University, Virginia Tech, and University of Maryland, College Park.

肖亮教授博士生导师

厦门大学信息学院信息与通信工程系教授

研究方向：无线通信，网络安全，大数据，机器学习

美国罗格斯大学( Rutgers Univ. )博士

IEEE 高级会员，中国计算机学会高级会员，中国电子学会高级会员，中国计算机学会网络与数据通信专委会委员

通讯地址：中国福建省厦门市厦大海韵园行政楼A401A, 361005 电子邮箱：lxiao @xmu.edu.cn

肖亮，厦门大学信息学院教授，博士生导师，南强青年拔尖人才A类，IEEE高级会员，IEEE ComSoc 大数据技术委员会委员，中国电子学会高级会员，中国计算机学会高级会员，网络与数据通信专委会委员，中国通信学会青年工作委员会委员。从事网络安全，大数据和机器学习等方向的研究。主持和参与了多项国家自然科学基金和福建省自然科学基金研究项目，参与863项目。出版4部英文学术专著/章节，获得ICC等5个国际会议最佳论文奖, 中国通信学会青年科技奖，福建省自然科学奖和吴文俊人工智能自然科学奖。担任IEEE Trans. Information Forensics & Security 和 IEEE Trans. Communications等多个国际SCI期刊编委。IEEE Journal of Selected Topics in Signal Processing 等期刊客座编辑。

美国Rutgers（新泽西州立）大学电子与计算机工程系博士，清华大学电子系硕士，南京邮电学院通信工程系学士。作为访问学者，曾在普林斯顿大学，弗吉尼亚理工和马里兰大学进行研究。曾任美国Rutgers大学无线信息网络实验室(WINLAB)助研，美国InterDigital公司和贝尔实验室实习研究员，美国北卡州立大学ECE系助教，清华大学微波与数字通信国家重点实验室助研。

News:

1. 恭喜闵明慧和万晓玥分别获得厦门大学出国出境参加 IEEE ICC 2017 国际学术会议资助和 IEEE ICC 2017 国际会议 Student Travel Grants, 2017.4

2. 恭喜肖星宇, 戴灿煌, 李炎达和周长华的论文"Energy Trading Game for Microgrids Using Reinforcement Learning" 获得 7th EAI International Conference on Game Theory for network 最佳论文奖, 2017.5.9

3. 恭喜李炎达的论文"Game Theoretic Study of Protecting MIMO Transmissions Against Smart Attacks" 获得 IEEE ICC 2017 通信与信息系统安全（Communication and Information System Security）领域的最佳论文奖, 2017.5.21

4. 恭喜万晓玥获得厦门大学校级奖学金, 2017.9.27

5. 恭喜李炎达、谢彩霞、韩国安、许冬瑾获得国家奖学金, 2017.10.10

6. 论文"Dissecting Campus WiFi Connections in an Empirical View" 获得 2017 International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA) 优秀论文奖, 2017.12.12

7. 恭喜卢晓珍获得IEEE ICC 2018 国际会议 Student Travel Grants 以及 IEEE ICC 2018 国际会议 N2Women and WICE Workshop Travel Grants, 2018.4

8. 恭喜韩国安被评为厦门大学“毕业生典型代表”, 2018.6.6

9. 恭喜许冬瑾获得信息科学与技术学院2018年优秀论文评选二等奖（第九届研究生海韵学术节系列活动之一）, 2018.6.13

10. 恭喜王琪胜被评为厦门大学“优秀毕业生”, 2018.6.13

11. 恭喜卢晓珍获得江苏省本科优秀毕业设计三等奖, 2018.9.18

12. 恭喜戴灿煌获得华为奖学金一等奖，陈烨获得华为奖学金三等奖，2018.9.30

13. 恭喜万晓玥、许冬瑾、江东华获得国家奖学金, 2018.10.12

14.《无线网络物理层安全博弈研究》获得2017年度福建省自然科学三等奖（第一完成人）

15.《基于机器学习的网络安全技术研究》获得第八届吴文俊人工智能自然科学奖三等奖（第一完成人）

16. 获得第二届“中国通信学会青年科技奖”，2018.12

17. 恭喜戴灿煌,肖星宇和丁钰真的论文"Learning based security for VANET with blockchain" 获得16th IEEE International Conference on Communication Systems (IEEE ICCS 2018) 最佳论文奖, 2018.12.19

18. 恭喜戴灿煌,陈烨获得“华为杯”第十五届中国研究生数学建模竞赛全国二等奖, 2019.1.2

19. 恭喜闵明慧、卢晓珍和盛葛怡分别获得获得厦门大学黄希烈奖学金、广生堂德优才俊奖学金和中国银行奖学金, 2019.4

20. 指导博士生卢晓珍，硕士生许冬瑾同学，与唐余亮教授和庄卫华教授合作完成，发表在IEEE Trans. Vehicular Technology的《UAV relay in VANETs against smart jamming with reinforcement learning》成为ESI高被引论文, 2019.5

21. 恭喜李炎达硕士论文《下一代移动通信网络的安全博弈研究》获得2018年福建省研究生优秀学位论文奖, 2019.6

22. 恭喜林紫涵和林海彬获得福建省第二届工业控制系统信息安全攻防大赛第三名, 二等奖, 2019.9

23. 恭喜林紫涵，卢晓珍，戴灿煌和盛葛怡的论文"Reinforcement Learning Based UAV Trajectory and Power Control Against Jamming" 获得 2nd International Conference on Machine Learning for Cyber Security (ML4CS) 最佳学生论文奖, 2019.9.19

24. 恭喜徐堂炜、丁钰真、汪苇杭获得华为奖学金三等, 江东华获得航天科技集团CASC公益奖学金三等, 2019.9.26

25. 恭喜戴灿煌, 陈烨, 盛葛怡和张海璐获得国家奖学金, 2019.9.30

26. 恭喜丁钰真获得IEEE GLOBECOM 2019 国际会议 Student Travel Grants, 2019.10.11

27. 恭喜肖奕霖获得厦门大学“研究生出国（境）参加国际学术会议项目”资助, 2019.10.18

28. 恭喜卢晓珍获得厦门大学唐立新奖学金, 2019.11.1

29. 指导博士生闵明慧，硕士生陈烨同学，与程鹏教授，吴迪教授和庄卫华教授合作完成，发表在IEEE Trans. Vehicular Technology的《Learning-based computation offloading for IoT devices with energy harvesting》成为ESI高被引论文, 2019.11

30. 恭喜张海璐，黄锦灏，徐堂炜获得“华为杯”第十六届中国研究生数学建模竞赛全国三等奖, 2019.12

31. 恭喜卢晓珍获得厦门大学曹德旺奖学金，2020.3.19

32. 指导硕士生李炎达和戴灿煌同学，与戴怀宇教授和H. V. Poor教授合作完成，发表在IEEE Trans. Vehicular Technology的《Reinforcement learning-based NOMA power allocation in the presence of smart jamming》成为ESI高被引论文, 2020.5

33. 恭喜闵明慧同学获得2019年“CSC-IBM中国优秀学生奖学金”，该奖从全国范围内评选40名优秀学生奖学金获奖者，闵明慧同学为厦门大学唯一一名获奖研究生, 2020.5

34. 恭喜万晓玥硕士论文《基于机器学习的水域通信网安全技术研究》获得2019年福建省研究生优秀学位论文奖, 2020.5

35. 指导硕士生揭晶方，博士生卢晓珍和硕士生徐堂炜，与张燕咏教授合作的论文"Robot relay for UAV communications against jamming: A reinforcement learning approach" 获得第十四届中国物联网学术会议（CWSN2020）优秀论文奖, 2020.9.18

36. 恭喜徐堂炜，丁钰真获得国家奖学金, 2020.9

37. 恭喜刘可欣、游旭东、林紫涵获得华为奖学金三等奖, 2020.9.23

38. 恭喜林紫涵、林海彬、游旭东获得福建省第三届工业控制系统信息安全攻防大赛优胜奖, 2020.10

39. 恭喜丁钰真、黄锦灏、刘可欣、游旭东获得厦门大学“三好学生”称号，张海璐获得厦门大学“优秀三好学生”称号, 2020.12

40. 指导硕士生盛葛怡，与刘思聪老师、戴怀宇教授、彭木根教授、宋健教授合作，发表在IEEE Trans. Comm.的论文《Deep reinforcement learning-enabled secure visible light communication against eavesdropping》获得“厦门市通信学会2019年度优秀论文作者”一等奖, 2020.12

41. 恭喜卢晓珍获得卢嘉锡奖学金，肖奕霖获得曹德旺奖学金，黄锦灏获得中国银行校庆奖学金，汪苇杭获得黄仲咸奖学金，2021.3.17

42. 入选爱思唯尔2020中国高被引学者，2021.4.23

43. 参与《伸如智能云医学影像服务》项目，获得数字中国创新大赛智慧医疗赛道二等奖，2021.6

44. 恭喜戴灿煌硕士论文《基于强化学习的云计算动态缓存分配技术研究》获得2020年福建省研究生优秀学术硕士学位论文奖, 2021.6

45. 恭喜丁钰真、徐堂炜、张海璐、黄锦灏被评为厦门大学“优秀毕业生”, 汪苇杭获得厦门大学“三好学生”称号, 2021.6

46. 指导硕士生万晓玥，博士生卢晓珍同学，与张燕咏教授和吴迪教授合作完成，发表在IEEE Signal Processing Magazine的《IoT security techniques based on machine learning: How do IoT devices use AI to enhance security?》成为ESI高被引论文, 2021.7

47. 与杨和林、熊泽辉、赵军老师、Dusit Niyato教授和武庆庆老师合作完成，发表在IEEE Transactions on Wireless Communications的《Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications》成为ESI高被引论文、最受欢迎50篇文章之一, 2021.9

Research Grants:

1. "Study on PHY-authentication in wireless networks," Natural Science Foundation of Fujian Province of China (No.2010J01347), 2010-2013 (PI).

2. "Security analysis on cognitive radio networks," Tsinghua-Qualcomm joint research center, 2009-2012 (CoPI).

3. "Study on PHY-security in wireless networks," Research funding by Xiamen University, 2009-2012 (PI).

4. "Authentication techniques based on channel information in wireless networks," Natural Science Foundation of China (No. 61001072), 2011-2013 (PI).

5. "Security analysis for wireless network cloud techniques," Tsinghua-IBM OCR joint research center, 2011-2012 (PI).

6. "Study on channel-based authentication in wireless networks," Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry (SRF for ROCS, SEM), 2011-2013 (PI).

7. Selected by the Program for New Century Excellent Talents in Fujian Province University, 2012-2014 (PI).

8. "Study on adaptive dictionary sparse representation and applications based on non-parametric hierarchical Bayesian model," Natural Science Foundation of China (No. 61172179), 2012-2015 (CoPI).

9. "Study on anti-jamming techniques in wireless networks," Fundamental Research Funds for the Central Universities, 2012-2014 (PI).

10. "Anti-jamming techniques in wireless networks without pre-shared PHY-layer keys," Natural Science Foundation of China (No. 61271242), 2013-2016 (PI).

11. "Future wireless communication techniques with enhanced PHY-layer security," 863 high technology plan (No. 2015AA01A707), RMB 558K, 2015-2016 (CoPI).

12. "无线网络安全博弈理论与方法研究," 物联网信息安全技术北京市重点实验室开放课题, 2015.01-2016.12 (PI).

13. "基于前景理论的无线网络安全博弈理论与机制研究," 国家自然科学基金面上项目 (No. 61671396), 2017.01-2020.12 (PI).

14. "针对主观攻击者的高级持续安全威胁博弈模型研究," CCF-启明星辰"鸿雁"科研基金,CCF-Venustech Hongyan Research Initiative (2016-010), 2016.09.15-2017.10.31 (PI).

15. "基于强化学习技术的5G网络安全机制研究," 东南大学移动通信国家重点实验室开放研究基金课题 (No.2018D08), 2018.01.01-2019.12.30 (PI).

16. "无人机智能抗干扰通信技术研究," 国家自然科学基金面上项目 (No. 61971366), 2020-2023 (PI).

Selected Publications:

Book Chapter:

1. L. Xiao, L. J. Greenstein, N. B. Mandayam, and W. Trappe, "Chapter 13: Channel-Based Authentication, in Securing Wireless Communications at the Physical Layer," W. Trappe and R. Liu, Eds., Springer-Verlag New York, 2010.

2. L. Xiao, "Anti-jamming Transmissions in Cognitive Radio Networks," Springer, 2015, ISBN: 978-3-319-24290-3.

3. L. Xiao,"Chapter 4. Reinforcement Learning Based PHY-Layer Authentication in Cognitive Radio Networks," in "Cognitive Radio Networks: Performance, Applications and Technology", Chee Wei Tan, Eds., NOVA, 2018, ISBN: 978-1-53613-068-3.

4. L. Xiao,"Reinforcement learning based wireless communications against jamming and interference," Encyclopedia of Wireless Networks, Jun. 2018.

5. L. Xiao, W. Zhuang, S. Zhou, C. Chen, "Learning-based VANET Communication and Security Techniques" Springer, 2019, ISBN: 978-3-030-01731-6.

6. 刘思聪，肖亮, "无线通信与安全," 清华大学出版社, 2021, ISBN: 978-7-302-57684-6，教育部高等学校电子信息类专业教学指导委员会规划教材，高等学校电子信息类专业系列教材.

7. L. Xiao, D. Jiang, S. Liu, "Chapter 3. Reinforcement Learning Based Communication Security for Unmanned Aerial Vehicles," in "Cyber Security Meets Machine Learning", Xiaofeng Chen • Willy Susilo • Elisa Bertino, Eds., Springer, 2021, ISBN: 978-981-33-6726-5.

Journal Papers:

1. H. Zhuang, L. Dai, L. Xiao, and Y. Yao," Spectral efficiency of distributed antenna system with random antenna layout, " Electronics Letter, vol. 39, no 6, pp. 495-496, Mar. 2003.

2. L. Xiao, L. Greenstein, and N. Mandayam, " Sensor-assisted localization in cellular systems," IEEE Trans. Wireless Comm., vol. 6, no. 12, pp. 4244-4248, Dec. 2007.

3. L. Xiao, L. Greenstein, N. Mandayam, and S. Periyalwar, "Distributed measurements for estimating and updating cellular system performance," IEEE Trans. Comm., vol. 56, no. 6, pp. 991-998, Jun. 2008.

4. L. Xiao, L. Greenstein, N. B. Mandayam, and W. Trappe, "Using the physical layer for wireless authentication under time-variant channels," IEEE Trans. Wireless Comm., vol. 7, no. 7, pp. 2571-2579, Jul. 2008.

5. L. Xiao, L. Greenstein, N. B. Mandayam, and W. Trappe, "Channel-based spoofing detection in frequency-selective Rayleigh channels," IEEE Trans. Wireless Comm., vol. 8, no. 12, pp. 5948 - 5956, Dec. 2009.

6. L. Xiao, L. Greenstein, N. B. Mandayam, and W. Trappe, "Channel-based detection of Sybil attacks in wireless networks," IEEE Trans. Information Forensics & Security, vol. 4, no. 3, pp. 492-503, Sept. 2009.

7. L. Xiao, H. Dai and P. Ning, "Jamming-resistant collaborative broadcast using uncoordinated frequency hopping," IEEE Trans. Information Forensics & Security, vol. 7, no. 1, pp. 297 – 309, Feb. 2012.

8. L. Xiao, H. Dai, P. Ning, "MAC design of uncoordinated FH-based collaborative broadcast," IEEE Wireless Comm. Letters, vol. 1, no. 3, pp. 261 - 264, Jun. 2012.

9. C. Li, H. Dai, L. Xiao, P. Ning, "Communication efficiency of anti-jamming broadcast in large-scale multi-channel wireless networks," IEEE Trans. Signal Processing, vol. 60, no. 10, pp. 5281 - 5292, Oct. 2012.

10. L. Xiao, W.S Lin, Y. Chen, K.J.R Liu, "Indirect reciprocity security game for large-scale mobile wireless networks," IEEE Trans. Information Forensics & Security, vol. 7, no. 4, pp. 1368 – 1380, Aug. 2012.

11. C. Zhao, L. Xiao et al., "Secure relay selection based on learning with negative externality in wireless networks," EURASIP Journal on Advances in Signal Processing, vol. 2013, no. 1, pp. 1-7, Dec. 2013.

12. L. Xiao, Q. Yan, W. Lou, G. Chen, Y.T. Hou, "Proximity-based security techniques for mobile users in wireless networks," IEEE Trans. Information Forensics & Security, vol. 8, no. 12, pp. 2089-2100, Dec. 2013.

13. L. Xiao, N. B. Mandayam, and H. V. Poor, "Prospect theoretic analysis of energy exchange among microgrids," IEEE Trans. Smart Grids, vol. 6, no. 1, pp. 63-72, Jan. 2015.

14. L. Xiao, T. Chen, J. Liu, H. Dai, "Anti-jamming transmission stackelberg game with observation errors," IEEE Comm. Letters, vol. 19, no. 6, pp. 949-952, Jun. 2015.

15. L. Xiao, Y. Li, J. Liu, Y. Zhao, "Power control with reinforcement learning in cooperative cognitive radio networks against jamming," Journal of Supercomputing, vol. 71, no. 9, pp. 3237-3257, Apr. 2015.

16. J. Liu, L. Xiao, G. Liu, Y. Zhao, "Active authentication with reinforcement learning based on ambient radio signals," Springer Multimedia Tools and Applications, vol. 76, no. 3, pp. 3979-3998, Oct. 2015.

17. L. Xiao, J. Liu, Q. Li, N. B. Mandayam, and H. V. Poor, "User-centric view of jamming games in cognitive radio networks," IEEE Trans. Information Forensics & Security, vol. 10, no. 12, pp. 2578-2590, Dec. 2015.

18. L. Xiao, Y. Li, G. Han, G. Liu, W. Zhuang, "PHY-layer spoofing detection with reinforcement learning in wireless networks," IEEE Trans. Vehicular Technology, vol. 65, no. 12, pp. 10037-10047, Dec. 2016.

19. 肖亮, 李强达, 刘金亮, "云存储安全技术研究进展综述," 数据采集与处理, 2016, 31(3):464-472.

20. L. Xiao, D. Xu, C. Xie, N. B. Mandayam, and H. V. Poor, "Cloud storage defense against advanced persistent threats: A prospect theoretic study," IEEE Journal on Selected Areas in Comm., vol. 35, no. 3, pp. 534-544, Jan. 2017. Code.

21. L. Xiao, T. Chen, G. Han, W. Zhuang, and L. Sun, "Game theoretic study on channel-based authentication in MIMO systems," IEEE Trans. Vehicular Technology, vol. 66, no. 8, pp. 7474-7484, Jan. 2017. Code.

22. N. Wang, T. Jiang, S. Lv, and L. Xiao, "Physical-layer authentication based on extreme learning machine," IEEE Comm. Letters, vol. 21, no. 1, pp. 1557-1560, Jul. 2017.

23. L. Xiao, Y. Li, X. Huang, and X. Du, "Cloud-based malware detection game for mobile device with offloading," IEEE Trans. Mobile Computing, vol. 16, no. 10, pp. 2742-2750, Oct. 2017.

24. L. Xiao, X. Wan, and Z. Han, "PHY-layer authentication with multiple landmarks with reduced overhead," IEEE Trans. Wireless Comm., vol. 17, no. 3, pp. 1676-1687, Dec. 2017. Code.

25. L. Xiao, Y. Li, G. Han, H. Dai, and H. V. Poor, "A secure mobile crowdsensing game with deep reinforcement learning," IEEE Trans. Information Forensics & Security, vol. 13, no. 1, pp. 35-47, Jan. 2018. Code.

26. L. Xiao, T. Chen, C. Xie, H. Dai, and H. V. Poor, "Mobile crowdsensing games in vehicular networks," IEEE Trans. Vehicular Technology, vol. 67, no. 2, pp. 1535-1545, Feb. 2018. Code.

27. L. Xiao, D. Jiang, X. Wan, W. Su, and Y. Tang, "Anti-jamming underwater transmission with mobility and learning," IEEE Comm. Letters, vol. 22, no. 3, pp. 542-545, Mar. 2018. Code.

28. L. Xiao, Y. Li, C. Dai, H. Dai, and H. V. Poor, "Reinforcement learning-based NOMA power allocation in the presence of smart jamming," IEEE Trans. Vehicular Technology, vol. 67, no. 4, pp. 3377-3389, Apr. 2018.

29. L. Xiao, C. Xie, M. Min, and W. Zhuang, "User-centric view of unmanned aerial vehicle transmission against smart attacks," IEEE Trans. Vehicular Technology, vol. 67, no. 4, pp. 3420-3430, Apr. 2018.

30. L. Xiao, X. Lu, D. Xu, Y. Tang, L. Wang, and W. Zhuang, "UAV relay in VANETs against smart jamming with reinforcement learning," IEEE Trans. Vehicular Technology, vol. 67, no. 5, pp. 4087-4097, May 2018.

31. L. Xiao, D. Xu, N. B. Mandayam, and H. V. Poor, "Attacker-centric view of a detection game against advanced persistent threats," IEEE Trans. Mobile Computing, vol. 17, no. 11, pp. 2512-2523, Nov. 2018. Code.

32. L. Xiao, X. Wan, C. Dai, X. Du, X. Chen, and M. Guizani, "Security in mobile edge caching with reinforcement learning," IEEE Wireless Comm. Magazine, vol. 25, no. 3, pp. 116-122, Jun. 2018.

33. L. Xiao, X. Wan, X. Lu, Y. Zhang, and D. Wu, "IoT security techniques based on machine learning: How do IoT devices use AI to enhance security?," IEEE Signal Processing Magazine, vol. 35, no. 5, pp. 41-49, Sept. 2018.

34. 陈烨, 许冬瑾, 肖亮, "基于区块链的网络安全技术综述," 电信科学, 2018, 34(03):10-16.

35. M. Min, L. Xiao, C. Xie, M. Hajimirsadeghi, and N. B. Mandayam, "Defense against advanced persistent threats in dynamic cloud storage: A colonel blotto game approach," IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4250-4261, Dec. 2018.

36. L. Xiao, D. Jiang, D. Xu, H. Zhu, Y. Zhang, and H. V. Poor, "Two-dimensional antijamming mobile communication based on reinforcement learning," IEEE Trans. Vehicular Technology, vol. 67, no. 10, pp. 9499-9512, Oct. 2018.

37. G. Sheng, M. Min, L. Xiao, and S. Liu, "Reinforcement learning based control for unmanned aerial vehicles," Journal of Communications and Information Networks, vol. 3, no. 3, pp. 39-48, Oct. 2018.

38. L. Xiao, D. Jiang, D. Xu, W. Su, N. An, and D. Wang, "Secure mobile crowdsensing based on deep learning," China Communications, vol. 15, no. 10, pp. 1-11, Oct. 2018.

39. M. Min, X. Wan, L. Xiao, Y. Chen, M. Xia, D. Wu, and H. Dai, "Learning-based privacy-aware offloading for healthcare IoT with energy harvesting," IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4307-4316, Oct. 2018.

40. Z. Deng, Y. Zhou, D. Wu, G. Ye, M. Chen, and L. Xiao, "Utility maximization of cloud-based in-car video recording over vehicular access networks," IEEE Internet of Things Journal, vol. 5, no. 6, pp. 5213-5226, Dec. 2018.

41. L. Xiao, G. Sheng, X. Wan, W. Su, and P. Cheng, "Learning-based PHY-layer authentication for underwater sensor networks," IEEE Comm. Letters, vol. 23, no. 1, pp. 60-63, Jan. 2019.

42. S. Liu, L. Xiao, L. Huang, and X. Wang, "Impulsive noise recovery and elimination: A sparse machine learning based approach," IEEE Trans. Vehicular Technology, vol. 68, no. 3, pp. 2306-2315, Mar. 2019.

43. M. Min, L. Xiao, Y. Chen, P. Cheng, D. Wu, and W. Zhuang, "Learning-based computation offloading for IoT devices with energy harvesting," IEEE Trans. Vehicular Technology, vol. 68, no. 2, pp. 1930-1941, Jan. 2019.

44. M. Hu, L. Zhuang, D. Wu, X. Chen, and L. Xiao, "Learning driven computation offloading for asymmetrically informed edge computing," IEEE Trans. Parallel and Distributed Systems, vol. 30, no. 7, pp. 1802-1815, Aug. 2019.

45. L. Xiao, D. Jiang, Y. Chen, W. Su, and Y. Tang, "Reinforcement-learning-based relay mobility and power allocation for UWSNs against jamming," IEEE Journal of Oceanic Engineering, vol. 45, no. 3, pp. 1148-1156, May 2019.

46. S. Liu, L. Xiao, Z. Han, and Y. Tang, "Eliminating NB-IoT interference to LTE system: A sparse machine learning based approach," IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6919-6932, Aug. 2019.

47. L. Xiao, G. Sheng, S. Liu, H. Dai, M. Peng, and J. Song, "Deep reinforcement learning-enabled secure visible light communication against eavesdropping," IEEE Trans. Comm., vol. 67, no. 10, pp. 6994-7005, Oct. 2019.

48. 黄锦灏, 江东华, 丁钰真, 肖亮, 范业仙, 陈建成, "基于强化学习的能量采集物联网视频编码技术," 厦门大学学报(自然科学版), 2019, 58(06):889-893.

49. X. Lu, X. Xiao, L. Xiao, C. Dai, M. Peng, and H. V. Poor, "Reinforcement learning based microgrid energy trading with a reduced power plant schedule," IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10728-10737, Dec. 2019.

50. L. Xiao, H. Zhang, Y. Xiao, X. Wan, S. Liu, L. Wang, and H. V. Poor, "Reinforcement learning-based downlink interference control for ultra-dense small cells," IEEE Trans. Wireless Comm., vol. 19, no. 1, pp. 423-434, Jan. 2020.

51. X. Lu, L. Xiao, C. Dai, and H. Dai, "UAV-aided cellular communications with deep reinforcement learning against jamming," IEEE Wireless Comm. Magazine, vol. 27, no. 4, pp. 48-53, Aug. 2020.

52. X. Lu, L. Xiao, T. Xu, Y. Zhao, Y. Tang, and W. Zhuang, "Reinforcement learning based PHY authentication for VANETs," IEEE Trans. Vehicular Technology, vol. 69, no. 3, pp. 3068 - 3079, Mar. 2020.

53. M. Hu, Z. Xie, D. Wu, Y. Zhou, X. Chen, and L. Xiao, "Heterogeneous edge offloading with incomplete information: A minority game approach," IEEE Trans. Parallel and Distributed Systems, vol. 31, no. 9, pp. 2139 - 2154, Sep. 2020.

54. L. Xiao, Y. Ding, D. Jiang, J. Huang, D. Wang, J. Li, and H. V. Poor, "A reinforcement learning and blockchain-based trust mechanism for edge networks," IEEE Trans. Comm., vol. 68, no. 9, pp. 5460-5470, Sept. 2020.

55. 黄锦灏, 丁钰真, 肖亮, 沈志荣, 朱珍民, "一种基于强化学习的嵌入式系统抗拒绝服务攻击的缓存调度方案," 计算机科学, 2020.

56. L. Xiao, X. Lu, T. Xu, X. Wan, W. Ji, and Y. Zhang, "Reinforcement learning based mobile offloading for edge computing against jamming and interference," IEEE Trans. Comm., vol. 68, no. 10, pp. 6114-6126, Oct. 2020. Code.

57. H. Yang, Z. Xiong, J. Zhao, D. Niyato, L. Xiao, and Q. Wu, "Deep reinforcement learning based intelligent reflecting surface for secure wireless communications," IEEE Trans. Wireless Comm., vol. 20, no. 1, pp. 375-388, Jan. 2021.

58. Y. Xiao, L. Xiao, X. Lu, H. Zhang, S. Yu, and H. V. Poor, "Deep reinforcement learning based user profile perturbation for privacy aware recommendation," IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4560-4568, Mar. 2021.

59. 徐堂炜, 张海璐, 刘楚环, 肖亮, 朱珍民, "基于强化学习的低时延车联网群密钥分配管理技术," 网络与信息安全学报, 2020, 6(5): 119-125.

60. 刘思聪, 肖亮, "面向5G的“无线通信原理”教学改革探索," 高教学刊, 2020(35): 132-135.

61. W. Su, J. Tao, Y. Pei, X. You, L. Xiao, and E. Cheng, "Reinforcement learning based efficient underwater image communication," IEEE Comm. Letters, vol. 25, no. 3, pp. 883-886, Mar. 2021.

62. Y. Xiao, G. Niu, L. Xiao, Y. Ding, S. Liu, and Y. Fan, "Reinforcement learning based energy-efficient Internet-of-Things video transmission," Intelligent and Converged Networks, vol. 1, no. 3, pp. 258-270, Dec. 2020.

63. X. Lu, J. Jie, Z. Lin, L. Xiao, J. Li, and Y. Zhang, "Reinforcement learning based energy efficient robot relay for unmanned aerial vehicles against smart jamming," SCIENCE CHINA Information Sciences, in press.

64. L. Xiao, X. Lu, T. Xu, W. Zhuang, and H. Dai, "Reinforcement learning based physical-layer authentication for controller area networks," IEEE Trans. Information Forensics & Security, in press.

65. M. Min, W. Wang, L. Xiao, Y. Xiao, and Z. Han, "Reinforcement learning-based sensitive semantic location privacy protection for VANETs," China Communications, vol. 18, no. 6, pp. 244-260, Jun. 2021.

66. H. Yang, J. Zhao, Z. Xiong, K. Y. Lam, S. Sun, and L. Xiao, "Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management," IEEE Journal on Selected Areas in Comm., in press.

67. W. Wang, Z. Lv, X. Lu, Y. Zhang, and L. Xiao, "Distributed reinforcement learning based framework for energy-efficient UAV relay against jamming," Intelligent and Converged Networks, in press.

68. Y. Xiao, L. Xiao, Z. Lv, G. Niu, Y. Ding, and W. Xu, "Learning based low-latency vIoT video streaming against jamming and interference," IEEE Wireless Comm. Magazine, in press.

69. L. Xiao, Y. Ding, J. Huang, S. Liu, Y. Tang, and H. Dai, "UAV Anti-Jamming Video Transmissions with QoE Guarantee: A Reinforcement Learning Based Approach," IEEE Trans. Comm., in press.

Conference Papers:

1. L. Xiao, L. Dai, S. Zhou, and Y. Yao, "Information-theoretic capacity analysis in MIMO distributed antenna systems," in Proc. IEEE Vehicular Technology Conference (VTC), vol. 1, pp. 779-782, Jeju, Korea, April 2003.

2. L. Xiao, S. Zhou, and Y. Yao, "QoS-oriented scheduling algorithm for 4G mobile multimedia OFDM communications," in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio (PIMRC), vol. 1, pp. 545-549, Sept. 2003, Beijing, China.

3. L. Xiao, A. Wang, S. Zhou, and Y. Yao, "A dynamic resource scheduling algorithm for OFDM system," in Proc. Asia-Pacific Conference on Communications (APCC), vol. 2, pp. 444-447, Malaysia, Sept. 2003.

4. A. Wang, L. Xiao, S. Zhou, X. Xu, and Y. Yao, "Dynamic resource management in the fourth generation wireless systems," in Proc. International Conference on Communication Technology (ICCT), Beijing, China, April 2003.

5. L. Xiao and M. Xiao, "A new kind of MIMO-sensor networks M-SENMA," in Proc. IEEE Vehicular Technology Conference (VTC), vol. 4, pp. 2941-2945, Los Angeles, CA, Sept. 2004.

6. H. Dai, L. Xiao, and Q. Zhou, "Energy efficiency of MIMO transmission strategies in wireless sensor networks," in Proc. 2004 International Conference on Computing, Communications and Control Technologies (CCCT), Austin, TX, Aug. 2004.

7. L. Xiao, L. J. Greenstein, N. B. Mandayam, and S. Periyalwar, "Sensor networks for estimating and updating the performance of cellular system," in Proc. IEEE International Conference on Communications(ICC), vol. 5, pp. 2107-2111, June 2006.

8. D. Samardzija, L. Xiao, and N. Mandayam, "Impact of pilot assisted channel state estimation on multiple antenna multiuser TDD systems with spatial filtering," in Proc. IEEE Conference on Information Sciences and Systems (CISS), pp. 381-385, Princeton, NJ, March 2006.

9. L. Xiao, L. J. Greenstein, N. B. Mandayam, and W. Trappe, "Fingerprints in the Ether: using the physical layer for wireless authentication," in Proc. IEEE International Conference on Communications(ICC), pp. 4646-4651, June 2007.

10. L. Xiao, L. J. Greenstein, N. B. Mandayam, and W. Trappe, "MIMO-assisted channel-based authentication in wireless networks," in Proc. Conference on Information Sciences and Systems (CISS), pp. 642-646, Princeton, NJ, Mar. 2008.

11. L. Xiao, L. J. Greenstein, N. B. Mandayam, and W. Trappe, "A physical-layer technique to enhance authentication for mobile terminals," in Proc. IEEE International Conference on Communications (ICC), pp. 1520-1524, May 2008.

12. L. Xiao, A. Reznik, W. Trappe, C. Ye, Y. Shah, L. Greenstein, and N. Mandayam, "PHY-authentication protocol for spoofing detection in wireless networks", in Proc. IEEE Global communications conference (GLOBECOM), 2010.

13. C. Li, H. Dai, L. Xiao, P. Ning, "Analysis and optimization on jamming-resistant collaborative broadcast in large-scale networks," in Proc. 44th Asilomar Conference on Signals, Systems and Computers (Asilomar), California, USA, Nov. 2010.

14. L. Xiao, H. Dai, P. Ning, "Jamming-resistant collaborative broadcast in wireless networks, Part I: Single-hop networks," in Proc. IEEE Global communications conference (GLOBECOM'11), Houston, TX, 2011.

15. L. Xiao, H. Dai, P. Ning, "Jamming-resistant collaborative broadcast in wireless networks, Part II: Multihop networks," in Proc. IEEE Global communications conference (GLOBECOM'11), Houston, TX, 2011.

16. L. Xiao, W.S Lin, Y. Chen, K.J.R Liu, "Indirect reciprocity game modeling for secure wireless networks," in Proc. IEEE International conference on communications (ICC), Ottawa, Canada, June 2012.

17. L. Xiao, Q. Yan, W. Lou and Y. T. Hou, "Proximity-based security using ambient radio signals," in Proc. IEEE International conference on communications (ICC), Budapest, Hungary, June 2013.

18. L. Xiao, Y. Chen, K.J.R Liu, "Anti-cheating prosumer energy exchange based on indirect reciprocity," in Proc. IEEE International conference on communications (ICC), Sydney, Australia, June 2014.

19. L. Xiao, J. Liu, Y. Li, N. B. Mandayam, and H. V. Poor, "Prospect theoretic analysis of anti-jamming communications in cognitive radio networks," in Proc. IEEE Global Commun. Conf. (GLOBECOM'14), Dec. 2014.

20. L. Xiao, J. Liu, Q. Li, and H. V. Poor, "Secure mobile crowdsensing game," in Proc. IEEE Int’l Conf. on Commun., (ICC), London, June 2015.

21. J. Liu, L. Xiao, Y. Li and L. Huang, "User-centric analysis on jamming game with action detection error," in Proc. Int’l Conf. on Game Theory for Networks, Beijing, China, Dec. 2014.

22. Y. Li, L. Xiao, J. Liu and Y. Tang, "Power control stackelberg game in cooperative anti-jamming communications," in Proc. Int’l Conf. on Game Theory for Networks, Beijing, China, Dec. 2014.

23. T. Chen, J. Liu, L. Xiao and L. Huang, "Anti-jamming transmissions with learning in heterogenous cognitive radio networks," in Proc. IEEE Wireless Communications and Networking Conference, So-HetNets Workshop, New Orleans, LA, Mar. 2015.

24. G. Liu, J. Liu, Y. Li, L. Xiao and Y. Tang, "Jamming detection of smartphones for WiFi signals," in Proc. IEEE Vehicular Technology Conf, Glasgow, Scotland, May 2015.

25. G. Chen, Y. Li, L. Xiao and L. Huang, "Collaborative anti-jamming broadcast with uncoordinated frequency hopping over USRP," in Proc. IEEE Vehicular Technology Conf., Glasgow, Scotland, May 2015.

26. Y. Li, Q. Li, J. Liu, L. Xiao, "Mobile cloud offloading for malware detections with learning," in Proc. IEEE International Conference on Computer Communications (INFOCOM), -BigSecurity, Hongkong, April 2015.

27. Y. Li, L. Xiao, Q. Li, W. Su, " Spoofing detection games in underwater sensor network," in Proc. Oceans Conference of the MTS & IEEE, Washington, DC, Oct. 2015.

28. L. Xiao, Y. Li, G. Liu, Q. Li, W. Zhuang, "Spoofing detection with reinforcement learning in wireless networks," in Proc. IEEE Global Communications Conference, San Diego, CA, Dec. 2015.

29. L. Xiao, Q. Li, T. Chen, E. Cheng, H. Dai, "Jamming games in underwater sensor networks with reinforcement learning," in Proc. IEEE Global Communications Conference, San Diego, CA, Dec. 2015.

30. L. Xiao, T. Chen, C. Xie, J. Liu, "Mobile crowdsensing game in vehicular networks," in Proc. IEEE Region 10 Conference (TENCON), invited talk, Nov. 2015.

31. L. Xiao, C. Xie, T. Chen, H. Dai, H. V. Poor, "Mobile offloading game against smart attacks," in Proc. IEEE International Conference on Computer Communications (INFOCOM WKSHPS), -BigSecurity, San Francisco, CA, April 2016. (Best paper award)

32. D. Xu, Y. Li, L. Xiao, N. B. Mandayam, and H. V. Poor, "Prospect theoretic study of cloud storage defense against advanced persistent threats," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Washington, DC, Dec. 2016.

33. L. Xiao, T. Chen, G. Han, Y. Li, W. Zhuang, and L. Sun, "Channel-based authentication game in MIMO systems," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Washington, DC, Dec. 2016.

34. C. Xie, and L. Xiao, "User-centric view of smart attacks in wireless networks," in Proc. IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), invited talk, Nanjing, China, Oct.2016.

35. G. Han, L. Xiao, H. V. Poor, "Two-dimensional anti-jamming communication based on deep reinforcement learning," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, Mar. 2017.

36. Y. Li, L. Xiao, H. Dai, H. V. Poor, "Game theoretic study of protecting MIMO transmission against smart attacks," in Proc. IEEE International Conference on Communications (ICC), Paris, May 2017. (Best paper award)

37. X. Wan, L. Xiao, Q. Li, Z. Han, "PHY-layer authentication with multiple landmarks with reduced communication overhead," in Proc. IEEE International Conference on Communications (ICC), Paris, May 2017.

38. M. Min, L. Xiao, C. Xie, M. Hajimirsadeghi, N. B. Mandayam, "Defense against advanced persistent threats: A colonel blotto game approach," in Proc. IEEE International Conference on Communications (ICC), Paris, May 2017.

39. D. Xu, L. Xiao, N. B. Mandayam, H. V. Poor, "Cumulative prospect theoretic study of a cloud storage defense game against advanced persistent threats," in Proc. IEEE International Conference on Computer Communications (INFOCOM WKSHPS), -BigSecurity, Atlanta, GA, May 2017.

40. Q. HU, S. Lv, Z. Shi, L. Sun, and L. Xiao, " Defense against advanced persistent threats with expert system for Internet of things, " in Proc. IEEE/IFIP International Conference on Wireless Algorithms, Systems, and Application, Gui Lin, China, June 2017.

41. Y. Qu, S. Yu, L. Gao, S.Peng, Y. Xiang, and L. Xiao, " FuzzyDP: Fuzzy-based big data publishing against inquiry attacks, " in Proc. IEEE Conference on Computer Communication Workshops (INFOCOM WKSHPS), - MobiSec, Atlanta, GA, May 2017.

42. X. Xiao, C. Dai, Y. li, C. Zhou, and L. Xiao, "Energy trading game for microgrids using reinforcement learning," in Proc. EAI International Conference on Game Theory for Network, invited talk, Knoxville, Tennessee, May 2017. (Best paper award) Code.

43. X. Wan, G. Sheng, Y. Li, L. Xiao, and X. Du, "Reinforcement learning based mobile offloading for cloud-based malware detection," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Singapore, Dec. 2017. PPT.

44. X. Lu, D. Xu, L. Xiao, L. Wang, and W. Zhuang, "Anti-jamming communication game for UAV-aided VANETs," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Singapore, Dec. 2017.

45. S. Lv, L. Xiao, Q. Hu, X. Wang, C. Hu, and L. Sun, "Anti-jamming power control game in unmanned aerial vehicle networks," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Singapore, Dec. 2017.

46. C. Dai, D. Xu, L. Xiao, M. Peng, and L. Sun, "Collaborative UFH-based anti-jamming broadcast with learning," in Proc. IEEE/CIC International Conference on Communications in China, Qingdao, China, Oct. 2017.

47. D. Xu, L. Xiao, L. Sun, and M. Lei, "Game theoretic study on blockchain based secure edge networks," in Proc. IEEE/CIC International Conference on Communications in China, Qingdao, China, Oct. 2017.

48. C. Zhang, X. Hei, and L. Xiao, "Dissecting campus WiFi connections in an empirical view," in Proc. International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA), Taiwan, Dec. 2017. (Excellent paper)

49. X. Lu, X. Wan, L. Xiao, Y. Tang, and W. Zhuang, "Learning-based rogue edge detection in VANETs with ambient radio signals," in Proc. IEEE International Conference on Communications (ICC), Kansas City, MO, May 2018.

50. M. Min, L. Xiao, D. Xu, L. Huang, and M. Peng, "Learning-based defense against malicious unmanned aerial vehicles,"in Proc. IEEE Vehicular Technology Conference (VTC Spring), Porto, Portugal, June 2018.

51. Y. Chen, Y. Li, D. Xu, and L. Xiao, "DQN-based power control for IoT transmission against jamming," in Proc. IEEE Vehicular Technology Conference (VTC Spring), Porto, Portugal, June 2018.

52. C. Dai, X. Xiao, L. Xiao, P. Cheng, "Reinforcement learning based power control for VANET broadcast against jamming," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Abu Dhabi, UAE, Dec. 2018.

53. H. Zhang, M. Min, L. Xiao, S. Liu, P. Cheng and M. Peng, "Reinforcement learning-based interference control for ultra-dense small cells," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Abu Dhabi, UAE, Dec. 2018.

54. Z. Xiao, B. Gao, S. Liu and L. Xiao, "Learning based power control for mmWave massive MIMO against jamming," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Abu Dhabi, UAE, Dec. 2018.

55. C. Dai, X. Xiao, Y. Ding, L. Xiao and Y. Tang, "Learning based security for VANET with blockchain," in Proc. IEEE International Conf. Commun. Systems, Chengdu, China, Dec. 2018.

56. S. Liu, Y. Chen, H. Huang, L. Xiao, X. Hei, "Towards smart educational recommendations with reinforcement learning in classroom," in Proc. IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE2018), Wollongong, Australia, Dec. 2018.

57. W. Wang, M. Min, L. Xiao, Y. Chen and H. Dai, "Protecting semantic trajectory privacy for VANET with reinforcement learning," in Proc. IEEE International Conference on Communications (ICC), Shanghai, China, May 2019.

58. T. Xu, X. Lu, L. Xiao, Y. Tang and H. Dai, "Voltage based authentication for controller area networks with reinforcement learning," in Proc. IEEE International Conference on Communications (ICC), Shanghai, China, May 2019.

59. C. Dai, L. Xiao, X. Wan and Y. Chen, "Reinforcement learning with safe exploration for network security," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019.

60. Z. Lin, X. Lu, C. Dai, G. Sheng and L. Xiao, "Reinforcement learning based UAV trajectory and power control against jamming," in Proc. International Conference on Machine Learning for Cyber Security (ML4CS), Xi'an, China, Sept. 2019.

61. Y. Ding, D. Jiang, J. Huang, L. Xiao, S. Liu, Y. Tang and H. Dai, "QoE-aware power control for UAV-aided media transmission with reinforcement learning," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Waikoloa, HI, Dec. 2019.

62. Y. Xiao, L. Xiao, H. Zhang, S. Yu, and H. V. Poor, "Privacy aware recommendation: Reinforcement learning based user profile perturbation," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Waikoloa, HI, Dec. 2019.

63. W. Wang, X. Lu, S. Liu, L. Xiao, and B. Yang, "Energy efficient relay in UAV networks against jamming: A reinforcement learning based approach," in Proc. IEEE Vehicular Technology Conference (VTC WKSHPS), -High Mobility Wireless Communications (HMWC), Antwerp, Belgium, May 2020.

64. K. Liu, X. Lu, L. Xiao and L. Xu, "Learning based energy efficient radar power control against deceptive jamming," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Taipei, Taiwan, China, Dec. 2020.

65. J. Jie, X. Lu, T. Xu, L. Xiao and Y. Zhang, "Robot relay for UAV communications against jamming: A reinforcement learning approach," in Proc. China Conference on Internet of Things (Wireless Sensor Network), Dunhuang, China, Sept. 2020.

66. P. Ye, Y. Wang, J. Li, L. Xiao and G. Zhu, "(τ, ϵ)-greedy reinforcement learning for anti-jamming wireless communications," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Taipei, Taiwan, China, Dec. 2020.

67. X. You, Z. Lv, Y. Ding, W. Su and L. Xiao, "Reinforcement learning based energy efficient underwater localization," in Proc. International Conf. Wireless Comm. and Signal Process. (WCSP), Nanjing, China, Oct. 2020.

68. W. Deng and L. Xiao, "Defense against advanced persistent threats in smart grids: A reinforcement learning approach," in Proc. Chinese Control Conf. (CCC), Shanghai, China, Jul. 2021.

69. W. Luo and L. Xiao, "Reinforcement learning based vulnerability analysis of data injection attacks for smart grids," in Proc. Chinese Control Conf. (CCC), Shanghai, China, Jul. 2021.

70. B. Ning and L. Xiao, "Reinforcement learning based fast worm detection for smart grids," in Proc. Chinese Control Conf. (CCC), Shanghai, China, Jul. 2021.

71. S. Hong, X. Lu, L. Xiao, G. Niu and H. Yang, "Reinforcement learning based sensor encryption and power control for low-latency WBANs," in Proc. International Conf. Wireless Algorithms, Systems and Applications (WASA), Nanjing, China, Jun. 2021.

72. Z. Lin, P. Li, Y. Xiao, L. Xiao and F. Luo, "Learning based efficient federated learning for object detection in MEC against jamming," in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Xiamen, China, Jul. 2021.

73. X. Wan, P. Li, Y. Wang, W. Wei and L. Xiao, "Reinforcement learning based accurate detection of malicious URLs with multi-feature analysis," in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Xiamen, China, Jul. 2021.

74. J. Yang, B. Lu, L. Xiao, X. Kang and Y. Shi, "Reinforcement learning aided network architecture generation for JPEG image steganalysis," in Proc. ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), New York, USA, Jun. 2020.

75. H. Li, S. Yu, X. Lu, L. Xiao and L. Wang, "Drone-aided network coding for secure communications: A reinforcement learning approach," in Proc. IEEE Global Commun. Conf. (GLOBECOM), Madrid, Spain, Dec. 2021.

76. K. Liu, P. Li, C. Liu, L. Xiao and L. Jia, "UAV-aided anti-Jamming maritime communications: A deep reinforcement learning approach," in Proc. International Conf. Wireless Comm. and Signal Process. (WCSP), Changsha, China, Oct. 2021.

Invited Talks:

1. "Channel-Based Spoofing Detection in Wireless Networks," UESTC’ 08 (Chengdu, China), Xiamen U.’ 08 (Xiamen, China), Bell Lab’ 09, InterDigital’ 09, BUPT’09 (Beijing, China).

2. "Jamming-Resistant Collaborative Broadcast In Wireless Networks," City U. of HK‘11 (Hongkong), UMD’11, UIC’2011, and Northwestern’ 11.

3. "Indirect Reciprocity Security Game for Large-Scale Mobile Wireless Networks," National Chiao Tung Univ. (Taiwan)'12, Stevens' 12, Rutgers'12.

4. "User-centric game theoretic study on network security," Annual Chinese conference on communication theory and signal processing'14, XJTU'14, XIDIAN'14, ZJU'15.

5. "智能数据时代的网络安全研究," CCF广州论坛: 从"大数据"到"智能数据" , 2016.11.23, 广州.

6. "Mobile Offloading for Cloud-based Malware Detections with Learning," 第六届 " 山海论坛 "-大数据与高性能计算, 2016.11.23, 广州.

7. "基于强化学习算法的网络安全技术研究," 广州大学计算机与网络安全前沿论坛, 2017.06.06, 广州.

8. "针对主观攻击者的高级持续安全威胁博弈模型研究," 中国计算机大会, 2017.10.27, 福州.

9. "UAV Relay in VANETs Against Smart Jamming with Reinforcement Learning," DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING, UNIVERSITY OF MACAU, 2017.11.30.

10. "基于强化学习的水下抗干扰技术研究," 2017年度海洋信息技术研讨会, 2017.12.22, 广州.

11. "基于深入强化学习的群智感知抗虚假感知机制," 2018年全国深度学习技术应用大会, 2018.4.21, 厦门.

12. "基于深入强化学习的移动群智感知机制," 第二届网络空间安全喻园青年科学家论坛, 2018.5.5, 武汉.

13. "Game-theoretic Methods for Modeling and Defending against Advanced Persistent Threats in Wireless Systems," The 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt 2018), Tutorial, 2018.5.7, Shanghai, China.

Professional Activities:

1. Associate Editor, IEEE Transactions on Information Forensics and Security, Since May 2016

2. TPC Member of IEEE INFOCOM, GLOBECOM, ICC, WCNC

3. Member of CCF Technical Committee on Networking and Data Communications

4. Senior Member of IEEE

5. Member of ACM

6. Editor, KSII Transactions on Internet and Information Systems, 2013

7. Associate Editor, Wiley's Security and Communication Networks Journal, 2013

8. Associate Editor, IET Communications, 2015

9. Senior Member of China Computer Federation (CCF)

10. Senior Member of Chinese Institute of Electronics

11. Founding Members, IEEE ComSoc Technical Committee on Big Data (TCBD)

12. Guest editor, IEEE Journal of Selected Topics in Signal Processing, SI:CRCR

13. Associate editor, IEEE Transactions on Communications (TCOM)

14. 执行编委, 《计算机科学》

15. CISS Symposium Chair, ICC'2019

16. Workshop Chairs, SecureComm 2019 - 15th EAI International Conference on Security and Privacy in Communication Networks

17. Associate editor, IEEE Transactions on Dependable and Secure Computing

18. CCF物联网专委会委员

19.《网络与信息安全学报》编委会委员

20.《China Communications》编委

21.中国通信学会青年工作委员会委员

22.中国通信学会通信理论与信号处理委员会委员

23.中国计算机学会网络与数据通信专委会委员

24.中国人工智能学会人工智能与安全专委会委员

25.中国自动化学会自适应动态规划与强化学习专委会委员

26.Publicity Co-Chairs, IEEE/CIC International Conference on Communications in China (ICCC2021)

27.Publicity Chairs, International Conference on Big Data Computing and Communications, 2021

28.《信息网络安全》编委

Teaching:

1. "Wireless Communication Techniques" - Fall 2009, Fall 2010, Fall 2011, Fall 2012, Spring 2013

2. "Digital Communication" - Spring 2010

3. "Advanced topics: Wideband Digital Communication Techniques" - Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014

4. "Scientific English on Communications and Electronic Information" - Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014

5. "Principles of Wireless Communication"- Fall 2010, Fall 2011.

6. 《无线通信原理》厦门大学本科教学示范岗、厦门大学一流本科课程立项, 2021.

7. 《信息安全基础》厦门大学课程思政项目, 2021.

8. 《无线通信网络》面向"新基建"安全的无线通信网络研究生课程改革，主持, 2021.

专利:

1. Liang Xiao*, Chunxuan Ye, Suhas Mathur, Yogendra C Shah, Alexander Reznik, "Authentication for secure wireless communication, " 美国专利：PCTUS0957477，2014.6.19，已授权.

2. 肖亮*、颜蜜、杜亮、黄联芬. "一种基于联合干扰的防御认知无线电自私攻击方法[P]. " 中国专利：ZL201210065341.8，已授权.

3. 肖亮*、康姗、颜蜜. "基于传感器的认知无线网络对多种类型攻击的检测方法[P]. " 中国专利：ZL201210064414.1，已授权.

4. 肖亮*、李强达、陈桂权、黄联芬、唐余亮. "一种检测和识别考场内开机手机的方法[P]. " 中国专利：ZL201410369094.X，已授权.

5. 肖亮*、李炎达、刘金亮、李燕. "一种基于移动群智感知的路况信息汇集方法[P]. " 中国专利：ZL201510127406.0，已授权.（已转让）

6. 肖亮*、刘国隆、李燕. "一种基于强化学习的无线信道指纹方法[P]. " 中国专利：ZL201510219184.5，已授权.（已转让）

7. 肖亮*、谢彩霞、陈天花、李炎达. "一种车载网络的移动群智感知方法[P]. " 中国专利：ZL201510504069.2，已授权.

8. 肖亮*、陈天花、徐亦舒、李燕、陈桂权. "一种移动终端的计算任务的云端转移方法[P]. " 中国专利：ZL201510219984.7，已授权.

9. 肖亮*、许冬瑾、范业仙、谢彩霞. "一种云存储系统的持续性攻击的检测方法[P]. " 中国专利：ZL201710018243.1，已授权.（已转让）

10. 肖亮*、李强达、万晓玥、唐余亮. "一种基于多监督节点和信道信息的无线认证方法[P]. " 中国专利：ZL 201710181834.0，已授权.（已转让）

11. 肖亮*、闵明慧、陈烨、许冬瑾、唐余亮. "基于强化学习的检测高级持续威胁的资源调度方法[P]. " 中国专利：ZL201710684939.8，已授权.

12. 肖亮*、周长华、陈桂权、刘金亮. "基于多用户强化学习的认知无线网络抗敌意干扰方法[P]. " 中国专利：ZL201510355173.X，已授权.

13. 肖亮*、盛葛怡、万晓玥、唐余亮. "一种基于强化学习的多途径保密信息通信方法[P]. " 中国专利：ZL201810663625.4，已授权.

14. 唐余亮*、林志平、肖亮. "车联网中多信道MAC层数据自适应传输方法、介质及系统[P]. " 中国专利：ZL201910036054.6，已授权.

15. 肖亮*、刘楚环、肖奕霖、徐堂炜. "基于强化学习的面向快速加解密的车联网密钥管理方法[P]. " 中国专利：ZL202011107886.1，已授权.

16. 肖亮*、林海彬、肖奕霖、林紫涵. "一种基于强化学习的无线视频低时延抗干扰传输方法[P]. " 中国专利：ZL202011107882.3，已授权.

17. 肖亮*、戴灿煌、许冬瑾、江东华、唐余亮. "基于深度强化学习的移动终端软件自适应优化调度方法[P]. " 中国专利：ZL201810811580.0，已授权.

软件著作权:

1. " 抗敌意干扰的无线认知网络非协调跳频广播系统. " 软件著作权: 2013SR153783, 2013.12.23.

2. " 基于RSS的无线信道指纹采集与实时识别系统. " 软件著作权: 2012SR110529, 2012.11.19.

3. " 认知无线电网络中基于间接互惠的安全系统 . " 软件著作权 : 2013SR153776, 2013.04.16.

4. " 基于跨层设计的USRP无线指纹识别系统. " 软件著作权: 2013SR081611, 2013.12.23.

5. " 安卓手机的敌意干扰检测软件. " 软件著作权: 2014SR168163, 2014.7.6.

6. " 抗敌意干扰的节点协作跳频广播系统. " 软件著作权: 2014SR077739, 2014.2.25.

7. " 基于强化学习的认知无线网络的抗敌意干扰系统. " 软件著作权: 2015SR148443, 2015.7.31.

8. " 基于环境指纹的安卓手机认证系统. " 软件著作权: 2016SR108135, 2016.5.17.

9. " 基于强化学习的高效节能无线抗干扰系统. " 软件著作权: 2021SR0744875, 2021.5.24.

当前学生名单：

博士生
卢晓珍	肖奕霖	刘楚环	吕泽芳	林志平
硕士生
林紫涵	揭晶方	林海彬	李鸿雁	洪思愿	刘可欣	游旭东(协助指导)
李鹏敏	牛国航	余诗	颜晓豪	许诗雨	万鲲鹏
陈顺	杜友松	樊晓琳（人工智能研究院）	李坤泽（人工智能研究院）	李思瑶	齐旭晨	王晨	许景晨	张津铭（人工智能研究院）	孙诗雨(协助指导)

已毕业学生名单：

姓名	年级	毕业去向
颜蜜	2009级	中国建设银行总行信息技术类直属中心（广州开发中心）
林文彬	2009级 (协助黄联芬老师指导)	国家电网
庞文镇	2009级	南京熊猫汉达科技有限公司
陈乃文	2010级	福建星网锐捷网络有限公司
陈晓晓	2010级	华为技术有限公司
康姗	2010级	华为技术有限公司
张磊	2011级	中国电子科技集团
杜亮	2011级 (副导师：黄联芬)	中国建设银行总行信息技术类直属中心（广州开发中心）
黄伟田	2011级 (副导师：唐余亮)	福建移动莆田公司
陈桂权	2012级	国家电网
刘金亮	2013级	招商银行网络科技有限公司	刘金亮
刘囯隆	2013级	华为技术有限公司	刘国隆
李燕	2013级	华福证券有限公司	李燕
李文锋	2015级	福建星网瑞捷网络有限公司	李文锋
陈天花	2014级	华为技术有限公司	陈天花
李强达	2014级	华为技术有限公司	李强达
周长华	2014级	兴业数字金融服务（上海）股份有限公司	周长华
韩国安	2015级	腾讯	韩国安
李炎达	2015级	阿里巴巴	李炎达
谢彩霞	2015级	福建星网瑞捷网络有限公司	谢彩霞
万晓玥	2016级	厦门航空有限公司	万晓玥
肖星宇	2016级	网易游戏	肖星宇
许冬瑾	2016级	中国移动杭州研发中心	许冬瑾
江东华	2017级	龙岩市党政类人才引进	江东华
戴灿煌	2017级	网易游戏	戴灿煌
盛葛怡	2017级	浙江省选调生	盛葛怡
陈烨	2017级	厦门航空有限公司	陈烨
闵明慧	2016级	中国矿业大学	闵明慧
张海璐	2018级	国家电网	张海璐
黄锦灏	2018级	中国南方电网	黄锦灏
汪苇杭	2018级	阿里巴巴	汪苇杭
徐堂炜	2018级	国家电网	徐堂炜
丁钰真	2018级	国家电网	丁钰真