黄亮
 副教授 硕士生导师　　　　
 性别：男
 学位：博士
 毕业院校：香港中文大学
 研究机构：计算机网络研究所
 邮箱：lianghuang@zjut.edu.cn
 办公地点：计算机楼A515
 研究方向：人工智能、移动边缘计算

个人简介
科研工作
教学工作
学生培养
个人荣誉
其他

个人简历
2020-至今： 浙江工业大学 计算机科学与技术学院 副教授
2016-2019： 浙江工业大学 信息工程学院 讲师

2014-2015： 浙江工业大学 计算机科学与技术学院 讲师

2009-2013： 香港中文大学 信息工程学院 博士

2005-2009： 浙 江 大 学 竺可桢学院 学士



研究方向
人工智能、移动边缘计算、物联网

谷歌学术主页:Google Scholar Profile


招生信息

本人招收AI语音、AI图像、AI网络方向的本科生和研究生！
~~~欢迎感兴趣的2021年学硕、专硕研究生新生联系我~~~





"Ah, 'all things come to those who wait.'
They come, but often come too late."
From Lady Mary M. Currie: Tout Vient `a Qui Sait Attendre (1872)
Quoted by L. Kleinrock: Queueing Systems (1975)

研究方向
理论：人工智能、排队论、图论
应用：智能语音、智能图像、自然语言处理、物联网、移动边缘计算


代表论文（完整列表见谷歌学术主页:Google Scholar Profile）
（*表示通讯作者，蓝色刊名表示中科院一区/二区或CCF A/B类）




图书章节：
[1]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

人工智能应用：

[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 toIEEE 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,"IEEE Transactions on Cognitive Communications and Networking, vol. 7, no. 1, pp. 47-58, March 2021.
[3]Liang Huang, Luxin Zhang, Shicheng Yang, Li Ping Qian, and Yuan Wu, "Meta-Learning based Dynamic Computation Task Offloading for Mobile Edge Computing Networks,"IEEE Communications Letters, 2020, DOI:10.1109/LCOMM.2020.**.
[4] 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.(Source Code, Highly Cited Paper)
[5] Suzhi Bi,Liang Huang*, and Ying-Jun Angela Zhang, "Joint Optimization of Service Caching Placement and Computation Offoading 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] Liang Huang, Xu Feng, Anqi Feng, Yupin Huang, and Li Ping Qian, "Distributed Deep Learning-based Offoading for Mobile Edge Computing Networks," Mobile Networks and Applications, 2018, DOI:10.1007/s11036-018-1177-x.



物联网：

[1] Jia Yan, Suzhi Bi,Liang Huang, and Ying-Jun Angela Zhang, "Deep Reinforcement Learning Based Offloading for Mobile Edge Computing with General Task Graph," inProc. 2020 IEEE International Conference on Communications (ICC'20), Dublin, Ireland, June 7-11, 2020.

[2] 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.

[3] 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.

[4] 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," inProc. 3rd EAI International Conference on Machine Learning and Intelligent Communications (MLICOM'18), Hangzhou, P.R. China, July 6-8, 2018. (Best Paper Award)

[5] 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.

[6] 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.
[7] 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.
[8] 钱丽萍, 李鹏欢,黄亮*. 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.




排队调度：

[1] Zhongdong Liu,Liang Huang, Bin Li, and Bo Ji, "Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study," inProc.the 3rdIEEE INFOCOM Age of Information Workshop, Toronto, Canada, July 5, 2020.

[2] Jian Zhang, Tony T. Lee, Tong Ye, andLiang 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.**.

[3]Liang Huang, "Adaptive Scheduling for Energy Harvesting Sensor Networks," inProc. 13th International Conference on Queueing Theory and Network Applications (QTNA'18), Tsukuba, Japan, July 25-27, 2018.

[4]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.

[5]Liang Huangand Li P. Qian, "Age of Information for Transmissions over Markov Channels," inProc. 2017 IEEE Global Communications Conference (Globecom'17), Singapore, December 4-8, 2017.

[6]Liang Huang, Suzhi Bi, and Li P. Qian, "Optimal Threshold-based Transmission Scheduling Policy for Energy Harvesting Sensor Nodes," inProc. 2016 IEEE Global Communications Conference (Globecom'16), Washington D.C., USA, December 4-8, 2016.

[7]Liang Huangand T.T, Lee, "Generalized Pollaczek-Khinchin Formula for Markov Channels,"IEEE Transactions on Communications, vol. 61, no. 8, pp. 3530-3540, August 2013.




科研项目（主持）

[1] 国家自然科学基金面上项目, **, 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] 国家自然科学基金青年项目, **, 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。

[4] 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。



教授课程
开设课程：《计算机网络》、《机器学习》
历史课程：《嵌入式系统》、《随机过程与排队论（双语）》



教学荣誉
本科生课程《嵌入式系统》、研究生课程《随机过程与排队论（双语）》多次获得校“优课优酬”教学奖励



教学论文
[1] 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。


教学项目
[1] 教育部产学合作协同育人项目, 9, 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, 3, 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, 1, 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，已结题，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，已结题，主持。




学生竞赛
2015 全国高校互联网应用创新大赛暨软件定义网络(SDN)应用创新开发大赛 优胜奖
2020 AIIA杯人工智能5G网络应用大赛暨ITU AI/ML in 5G挑战赛中国区比赛 优胜奖


学生荣誉
浙江工业大学研究生国家奖学金2人次。
浙江工业大学研究生“学术之星”荣誉称号1人次

浙江工业大学校级“三好研究生”荣誉称号2人次





2015年度浙江工业大学计算机科学与技术学院、软件学院优秀教师
2020年度浙江工业大学计算机科学与技术学院、软件学院科技贡献奖
社会服务
举办国际会议: 3rd EAI MLICOM国际会议 中国杭州 2018.07.06-08 当地主席、网站主席
国际期刊审稿人: IEEE ToN, TCOM, TVT, 等
IEEE 会员、CCF 会员