个人简介
黄亮，浙江工业大学副教授、硕导、博士。于 2009 年 6 月获得浙江大学竺可桢荣誉学院通信工程专业工学学士学位。于 2013 年 7 月获得香港中文大学信息工程系博士学位（导师：李东，IEEE Fellow）。本人主要从事无线网络的排队调度优化问题，研究兴趣包括人工智能通信、物联网、以及移动边缘计算。主持国家自然科学基金项目2项、浙江省自然科学基金2项。以第一作者在IEEE Transactions on Mobile Computing、IEEE Transactions on Communications、IEEE Transactions on Wireless Communications、 IEEE Transactions on Industrial Informatics等国际期刊和IEEE Globecom、 ICC等国际会议上发表SCI、EI收录论文20余篇。现担任IEEE TCOM, IEEE TWC, IEEE TVT等国际顶级期刊论文审稿人。
科研项目
1. 国家自然科学基金面上项目, 62072410, 基于深度学习的保障服务质量的移动边缘计算卸载技术研究, 2021/01–2024/12, 56万, 在研, 主持。
2. 浙江省自然科学基金一般项目, LY19F020033, 基于深度强化学习的能量采集型物联网传输关键技术研究, 2019/01-2021/12, 9万, 在研, 主持。
3. 国家自然科学基金面上项目, 61871271, 面向无源边缘计算的新型物联网中计算性能最优化方案研究, 2019/01–2022/12, 60万, 在研, 参加。
4. 国家自然科学基金面上项目, 61871348, 基于携能通信的无线传感器网络能效优化研究, 2019/01–2022/12, 64万, 在研, 参加。
5. 国家自然科学基金青年项目, 61502428, 基于马尔科夫信道模型的无线网络通信系统时延性能研究, 2016/01–2018/12, 25万, 已结题, 主持。
6. 国家自然科学基金青年项目, 61202427, 面向动态异构无线传感器网络的宏编程关键技术研究, 2016/01–2018/12, 25万, 已结题, 参加。
7. 浙江省自然科学基金一般项目, LY16F020034, 基于存储优化的传感器网络嵌入式节点重编程方法研究, 2016/01-2018/12, 10万, 已结题, 参加。
8. 浙江省自然科学基金青年项目, LQ15F010003, 基于马尔科夫信道的可变速率传输系统性能研究, 2015/01-2017/12, 5万, 已结题, 主持。
9. 国家自然科学基金面上项目, 61379122, 下一代无线通信网络资源优化分配理论与关键技术, 2014/01-2017/12, 75万, 已结题, 参加。
教学项目
1. 教育部产学合作协同育人项目, 201801164009, 嵌入式方向的课程体系改革，2018/08-2019/07，3万，已结题，主持。
2. 教育部产学合作协同育人项目, 201801140003, 嵌入式系统方向的课程体系改革，2018/08-2019/07，3万，已结题，主持。
3. 教育部产学合作协同育人项目, 201801334001, 基于NB-IoT的新兴产业专业建设，2018/08-2019/07，3万，已结题，参与。
4. 浙江工业大学研究生示范性全英文（双语）课程, 随机过程与排队论（双语），2018/09-2020/09，2万，在研，主持。
5. 浙江工业大学课堂教学改革项目, KG201812, “学习者为中心”的嵌入式系统实验的改革，2018/06-2020/06，1万，在研，主持。
近期论文
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1. Suzhi Bi, Liang Huang, Hui Wang, and Ying-Jun Angela Zhang, "Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks," submitted to IEEE Transactions on Wireless Communications.
2. Liang Huang, You Zhang, Weijian Pan, Jinyin Chen, Li Ping Qian, and Yuan Wu, "Visualizing Deep Learning-based Radio Modulation Classifier," arXiv preprint, arXiv:2005.02175, 2020.
3. Liang Huang, Suzhi Bi, and Ying-Jun Angela Zhang, "Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks," IEEE Transactions on Mobile Computing, vol. 19, no. 11, pp. 2581-2593, November 2020.
4. Zhengying Zhu, Li Ping QIAN, Jiafang Shen, Liang Huang, and Yuan Wu, "Joint optimization of UAV grouping and energy consumption in MEC-enabled UAV communication networks," IET Communications, vol. 14, no. 16, pp. 2723-2730, October 2020.
5. Suzhi Bi, Liang Huang (通讯作者), and Ying-Jun Angela Zhang, "Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing Systems," IEEE Transactions on Wireless Communications, vol. 19, no. 7, pp. 4947-4963, July 2020.
6. Liang Huang, Weijian Pan, You Zhang, Li Ping Qian, Nan Gao, and Yuan Wu, "Data Augmentation for Deep Learning-based Radio Modulation Classification," IEEE Access, vol. 8, pp. 1498-1506, 2020.
7. Jian Zhang, Tony T. Lee, Tong Ye, and Liang Huang, "An approximate mean queue length formula for queueing systems with varying service rate," Journal of Industrial & Management Optimization, September 2019, DOI:10.3934/jimo.2019106.
8. Li Ping Qian, Yuan Wu, Bo Ji, Liang Huang, and Danny H. K. Tsang, "HybridIoT: Integration of Hierarchical Multiple Access and Computation Offloading for IoT-Based Smart Cities," IEEE Network, vol. 33, no. 2, pp. 6-13, March/April 2019.
9. Liang Huang, Xu Feng, Luxin Zhang, Li Ping Qian, and Yuan Wu, "Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks", Sensors, vol. 19, no. 6, pp. 1446, March 2019.
10. Liang Huang, Xu Feng, Anqi Feng, Yupin Huang, and Li Ping Qian, "Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks," Mobile Networks and Applications, 2018, DOI:10.1007/s11036-018-1177-x.
11. Liang Huang, Xu Feng, Cheng Zhang, Li Ping Qian, and Yuan Wu, " Deep Reinforcement Learning-based Joint Task Offloading and Bandwidth Allocation for Multi-User Mobile Edge Computing", Digital Communications and Networks, vol. 5, no. 1, pp. 10-17, February 2019.
12. Li Ping Qian, Yuan Wu, Haowei Mao, Kejie Ni, Xu Feng, Liang Huang, and Zhiguo Shi, "Resource Optimization for Downlink Non-orthogonal Multiple Access Systems: A Joint Channel Bandwidth and Power Allocations Approach", IET Communications, vol. 12, no. 19, pp. 2429-2437, December 2018.
13. Yuan Wu, Xiangxu Chen, Jiajun Shi, Kejie Ni, Li Ping Qian, Liang Huang, and Kuan Zhang, "Optimal Computational Power Allocation in Multi-Access Mobile Edge Computing for Blockchain", Sensors, vol. 18, no. 10, pp. 3472, October 2018.
14. Yuan Wu, Cheng Zhang, Kejie Ni, Li Ping Qian, Liang Huang, and Wei Zhu, "Optimal Resource Allocation for Uplink Data Collection in Nonorthogonal Multiple Access Networks", Sensors, vol. 18, no. 8, pp. 2542, Auguest 2018.
15. Liang Huang, Li Ping Qian, Suzhi Bi, and Zhuoqun Xia, "Adaptive Scheduling in Energy Harvesting Sensor Networks for Green Cities," IEEE Transactions on Industrial Informatics, vol. 14, no. 4, pp. 1575-1584, April 2018.
16. Yuan Wu, Li Ping Qian, Liang Huang, and Xuemin (Sherman) Shen, "Optimal Relay Selection and Power Control for Energy-Harvesting Wireless Relay Networks," IEEE Transactions on Green Communications and Networking, vol. 2, no. 2, pp. 471-481, June 2018.
17. Kaikai Chi, Liang Huang, Yanjun Li, Yi-hua Zhu, and Xian-zhong Tian, "Efficient and Reliable Multicast Using Device-to-Device Communication and Network Coding for 5G Network," IEEE Network, vol. 31, no. 4, pp. 78-84, July 2017.
18. Kaikai Chi, Yi-hua Zhu, Yanjun Li, Liang Huang, and Ming Xia, "Minimization of Transmission Completion Time in Wireless Powered Communication Networks," IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1671-1683, October 2017.
Liang Huang and T.T, Lee, "Generalized Pollaczek-Khinchin Formula for Markov Channels," IEEE Transactions on Communications, vol. 61, no. 8, pp. 3530-3540, August 2013.
19. 黄亮, 陈康妮, 钱丽萍, 陈庆章. 采用反馈式多级喷泉码的深空中继协作传输协议研究[J]. 小型微型计算机系统, 2018, 39(1):146-150.
20. 钱丽萍, 李鹏欢, 黄亮（通讯作者）. 动态数据流环境下的自适应性行为识别算法设计[J]. 传感技术学报, 2017, 30(6):909-915.
21. 邱杰凡, 钱丽萍, 黄亮, 陈庆章. 面向物联网重编程的存储优化方法研究[J]. 计算机学报, 2017, 40(8):1888-1901.
会议论文：
1. Weidang Lu, Weicong Wu, Liping Qian, Yuan Wu, Ningning Yu, and Liang Huang, "Optimal Power Allocation for Secure Non-orthogonal Multiple Access Transmission," in Proc. IEEE VTC2020-Fall, Victoria, BC, Canada, October 4-7, 2020.
2. Zhongdong Liu, Liang Huang, Bin Li, and Bo Ji, "Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study," in Proc. the 3rd IEEE INFOCOM Age of Information Workshop, Toronto, Canada, July 5, 2020.
3. Jia Yan, Suzhi Bi, Liang Huang, and Ying-Jun Angela Zhang, "Deep Reinforcement Learning Based Offloading for Mobile Edge Computing with General Task Graph," in Proc. 2020 IEEE International Conference on Communications (ICC'20), Dublin, Ireland, June 7-11, 2020.
4. Yuan Wu, Daohang Wang, Xu Xu, Li Ping Qian, Liang Huang, and Weidang Lu, "Secrecy-Driven Energy-Efficient Multi-user Computation Offloading via Mobile Edge Computing," in Proc. IEEE GLOBECOM 2019 Workshop on Computational Intelligence and Big Data Towards Trustworthy IoT (Globecom'19 Workshop - CIBT), Waikoloa, USA, December 9, 2019.
5. Yuan Wu, Jiajun Shi, Xiangxu Chen, Kejie Ni, Li Ping Qian, Liang Huang, and Kuan Zhang, "Optimal Multi-Access Computation Offloading for Mobile Blockchain," in Proc. 16th IEEE International Conference on Communication Systems (ICCS'18), Chengdu, P.R. China, December 19-21, 2018.
6. Liang Huang, "Adaptive Scheduling for Energy Harvesting Sensor Networks," in Proc. 13th International Conference on Queueing Theory and Network Applications (QTNA'18), Tsukuba, Japan, July 25-27, 2018.
7. Liang Huang, Xu Feng, Li Ping Qian, and Yuan Wu, "Deep Reinforcement Learning-based Task Offloading and Resource Allocation for Mobile Edge Computing," in Proc. 3rd EAI International Conference on Machine Learning and Intelligent Communications (MLICOM'18), Hangzhou, P.R. China, July 6-8, 2018.
8. Yuan Wu, Cheng Zhang, Kejie Ni, Jiajun Shi, Li Ping Qian, Liang Huang, Weidang Lu, and Limin Meng, "Joint Time and Power Allocations for Uplink Nonorthogonal Multiple Access Networks," in Proc. 3rd EAI International Conference on Machine Learning and Intelligent Communications (MLICOM'18), Hangzhou, P.R. China, July 6-8, 2018. (Best Paper Award)
9. Xiaoding Wang, Kejie Ni, Xiangxu Chen, Yuan Wu, Li Ping Qian, and Liang Huang, "Optimal User Grouping and Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems," in Proc. 3rd EAI International Conference on Machine Learning and Intelligent Communications (MLICOM'18), Hangzhou, P.R. China, July 6-8, 2018.
10. Jia Chen, Jiajun Shi, Xiangxu Chen, Yuan Wu, Li Ping Qian, and Liang Huang, "Technologies and Applications of Narrowband Internet of Things," in Proc. 3rd EAI International Conference on Machine Learning and Intelligent Communications (MLICOM'18), Hangzhou, P.R. China, July 6-8, 2018.
11. Yuan Wu, Haowei Mao, Xiaowei Yang, Li Ping Qian, Weidang Lu, and Liang Huang, "Optimal Smart Prepayment for Mobile Access Service via Stackelberg Game," in Proc. 10th EAI International Wireless Internet Conference (WiCON'17), Tianjin, P.R. China, December 16-17, 2017.
12. Liang Huang and Li P. Qian, "Age of Information for Transmissions over Markov Channels," in Proc. 2017 IEEE Global Communications Conference (Globecom'17), Singapore, December 4-8, 2017.
13. Li Ping Qian, Caihong Kai, Yuan Wu, and Liang Huang, "Optimal Power and Rate Allocation in Buffer-Aided NOMA Relay Networks," in Proc. 2017 IEEE/CIC International Conference on Communications in China (ICCC'17), Qingdao, P.R. China, October 22-24, 2017.
14. Liang Huang, Suzhi Bi, and Li P. Qian, "Optimal Threshold-based Transmission Scheduling Policy for Energy Harvesting Sensor Nodes," in Proc. 2016 IEEE Global Communications Conference (Globecom'16), Washington D.C., USA, December 4-8, 2016.
15. Liang Huang and Li P. Qian, "Threshold-based Transmission Scheduling for Energy Harvesting Sensor Nodes with Finite Data and Energy Storage," in Proc. 2016 IEEE/CIC International Conference on Communications in China (ICCC'16), Chengdu, P.R. China, July 27-29, 2016.
16. Liang Huang, Jiefan Qiu, and Li P. Qian, "State Transition Factor of Three-state Markov Channels," in Proc. 2016 International Conference on Computing, Networking and Communications (ICNC'16), Kauai, Hawaii, USA, February15-18, 2016.
17. Li P. Qian, Yuan Wu, Liang Huang and Wei Zhang, "Optimal user association and resource allocation for device-to-device communications underlaying cellular networks," in Proc. 2016 International Conference on Computing, Networking and Communications (ICNC'16), Kauai, Hawaii, USA, February 15-18, 2016.
18. Jiefan Qiu, Liang Huang and Li P. Qian, "LiREP: Lightweight Incremental Reprogramming of Sensor Nodes Based on In-situ Modification," in Proc. 2016 International Conference on Computing, Networking and Communications (ICNC'16), Kauai, Hawaii, USA, February 15-18, 2016.
19. Liang Huang and T.T, Lee, "Queueing behavior of Hybrid ARQ wireless system with finite buffer capacity," in Proc. 2012 21st Annual Wireless and Optical Communications Conference (WOCC'12), Kaohsiung, Taiwan, April 19-21, 2012.
20. Liang Huang and T.T, Lee, "Performance analysis of two-state wireless channel with lagging bound," in Proc. 2011 Third International Conference on Communications and Mobile computing (CMC'11), Qingdao, China, April 18-20, 2011.
出版书籍：
Liang Huang (2019) Energy Harvesting Sensor Node Scheduling in Wireless Sensor Networks. In: Shen X., Lin X., Zhang K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-32903-1
教学论文：
钱丽萍, 黄亮, 陈庆章. 物联网工程专业通信原理课程教学改革探究[J]. 计算机教育, 2016(03), 103-105。
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