周明亮，男，博士（后），博士/硕士生导师，“濠江****”， 博士毕业于北京航空航天大学计算机学院，师从重庆大学计算机学院杰出校友李波教授，博士毕业后前往香港城市大学做博士后，师从Sam KWONG教授和贾维嘉教授，已在IEEE TIP、IEEE TCSVT、IEEE TMM，TOMM等重要国际期刊发表多篇重要的学术论文，取得了显著的科研成果，其多项研究成果已在实际系统中应用其中，其中以第一/通讯作者在ACM/IEEE Transactions系列期刊和顶级会议发表论文10余篇，作为关键人员参与多项国家863科技专项和重点研发专项，香港ITF，国家自然科学基金等，目前研究团队研究生人数在15人以上，有严格、规范的培养制度保障，课题组经费充足，研究团队经常性组织学术及户外活动，营造“团结、紧张、严肃、活泼”的氛围。优秀者可以推荐至德国，香港，澳门，北京航空航天大学博士学位或者进行博士后研究工作，成功率非常高。课题组名额充足但竞争激烈，请提前联系。电子邮箱（mingliangzhou@cqu.edu.cn）
研究方向如下，但也不局限于此：
1、二维/三维人体姿态估计；
2、大数据智能感知与处理；
3、抗遮挡的行人检测算法；
4、高性能视频大数据感知编码与传输；
5、图像分割。
作为我的硕士/博士研究生，我可以给你什么？
你能得到全方位的科研能力培养（我亲自带，手把手教）、所需要的科研资源（高性能服务器，支持参加高水平国际会议）和具有竞争力的生活保障（水平跟津贴成正相关）。以目前我先前在香港和澳门带学生的经验，只要自己勤奋努力和能跟上我的工作节奏，在较短的时间内，就能做出业内顶尖的科研成果，不输于80%国内TOP 5高校的研究生。针对想去工业界的硕士生，我会重点培养动手能力。针对致力于学术研究的硕博士生，会着重培养高水平的科研能力，能跟世界顶尖的研究生一拼高下。


发表论文和专利：


以第一作者身份发表的期刊论文
[1] Mingliang Zhou, Xuekai Wei, Sam Kwong,Weijia Jia, Bin Fang, Just Noticeable Distortion-Based Perceptual Rate Controlin HEVC. IEEE Trans. Image Processing (doi：10.1109/TIP.2020.**).
[2] Mingliang Zhou, Xuekai Wei, Shiqi Wang, Sam Kwong, Chi-Keung Fong,Peter H. W. Wong, Wilson Y. F. Yuen, Wei Gao, SSIM-Based Global Optimizationfor CTU-Level Rate Control in HEVC. IEEE Trans. Multimedia 21(8): 1921-1933(2019). doi: 10.1109/TMM.2019.**.
[3] Mingliang Zhou, Xuekai Wei, Sam Kwong,Weijia Jia, Bin Fang, Rate Control Method Based on Deep Reinforcement Learningfor Dynamic Video Sequences in HEVC, in IEEE Trans. Multimedia. doi:10.1109/TMM.2020.**.
[4] Mingliang Zhou, Xuekai Wei, Shiqi Wang,Sam Kwong, et al., Global Rate-Distortion Optimization-Based Rate Control forHEVC HDR Coding, in IEEE Transactions on Circuits and Systems for VideoTechnology. doi: 10.1109/ TCSVT.2019.**.
[5] Mingliang Zhou, Yongfei Zhang, Bo Li,XuPeng Lin, Complexity Correlation Based CTULevel Rate Control with DirectionSelection for HEVC, ACM Transactions on Multimedia Computing, Communications and Application, 2017, 13(4): 53. doi: 10.1145/ **.
[6] Mingliang Zhou, YongfeiZhang, Bo Li, Hai-Miao Hu, Complexity-basedintra frame rate control by jointing inter-frame correlation for highefficiency video coding, Journal of Visual Communication and Image Representation,2017, 42, pp.46-64. doi: 10.1016/j.jvcir.2016.11.013.
[7] Mingliang Zhou, Bo Li, Yongfei Zhang, Content-adaptiveParameters Estimation for Multi-dimensional Rate Control, Journal of VisualCommunication and Image Representation, Jan. 2016, vol. 34, pp. 204-218. doi:10.1016/j.jvcir.2015.11.011.
[8] Mingliang Zhou, Xuekai Wei, Sam Kwong,et al., Reinforcement Learning-based QoE-oriented Dynamic Adaptive StreamingFramework, submit to IEEE Trans. Multimedia (2020) (Minor).
[9] Xuekai Wei, Mingliang Zhou*, Sam Kwong,et al., A Hybrid Control Scheme for 360-Degree Dynamic Adaptive Video Streaming over Mobile Devices , submit to IEEE transactions on mobile computing (2020) (Minor，共同一作加通讯作者).
[10] Mingliang Zhou, Qin Mao, Chen Zhong,Weiqin Zhang, Changzhi Chen, Spatial Error Concealment by Jointing Gauss BayesModel and SVD for High Efficiency Video Coding. IJPRAI 33(14): **:1-**: 20 (2019). doi: 10.1142/S 0375.
以第一作者身份发表的会议论文
[11] Mingliang Zhou, Hai-MiaoHu, YongfeiZhang, Region-based Intra-Frame Rate-Control Scheme for High Efficiency VideoCoding, APSIPA ASC 2014. doi: 10.1109/ APSIPA.2014.**.
以通讯作者身份发表的期刊论文
[12] YingqiZhang, Yong Feng, Jiaxing Shang, MingliangZhou, Baohua Qiang, Attention-Aware Joint Location Constraint Hashing forMulti-Label Image Retrieval, in IEEE Access, vol. 8, pp. 3294-3307, 2020, doi:10.1109/ACCESS.2019.**.
[13] BaohuaQiang, Ruidong Chen, Yuan Xie, MingliangZhou, Riwei Pan, Tian Zhao, Hybrid Deep Neural Network-based Cross-modalImage and Text Retrieval Method for Large-scale Data. Journal of Circuits,Systems and Computers, 2020. doi:10.1142/S02183.
[14] TongGao, Wei Sheng, Mingliang Zhou, BinFang and Liping Zheng, MEMS Inertial Sensor Fault Diagnosis Using a CNN-Based Data-DrivenMethod. International Journal of Pattern Recognition and ArtificialIntelligence, 2019. doi: 10.1142/S 59048X.
以通讯作者身份发表的会议论文
[15] YiChen, Sam Kwong, Mingliang Zhou,Shiqi Wang, Guopu Zhu, Yi Wang, Intra Frame Rate Control for Versatile VideoCoding with Quadratic Rate-Distortion Modelling, ICASSP 2020 - 2020 IEEEInternational Conference on Acoustics, Speech and Signal Processing (ICASSP),Barcelona, Spain, 2020, pp. 4422-4426, doi: 10.1109/ICASSP40776. 2020.**.
[16] XingyuFu, Bin Fang, Mingliang Zhou, JiajunLi, Hybrid Active Contour Driven by Double-Weighted Signed Pressure Force forImage Segmentation, ICASSP 2020 - 2020 IEEE International Conference onAcoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp.2463-2467, doi: 10.1109/ICASSP40776.2020.**.
[17] JiajieZhu, Bin Fang, Mingliang Zhou,Hengjun Zhao and Futing Luo, Legendre Based Adaptive Image SegmentationCombining the Gradient Information, ICIP 2020 - 2020 IEEE InternationalConference on Image Processing (ICIP), Abu dhabi, United Arab Emirates, 2020(accepted).
[18] TongxinDu, Bin Fang, Mingliang Zhou, HenjunZhao, Weizhi Xian and Xuegang Wu, Segmentation Algorithm of the Valid Region inFisheye Images using Edge and Region Information, ICIP 2020 - 2020 IEEEInternational Conference on Image Processing (ICIP), Abu dhabi, United ArabEmirates, 2020 (accepted).
其它代表性的论文
期刊论文
[19] Bo Li, MingliangZhou, Yongfei Zhang, Xupeng Lin, Weihan Guo, Model Parameters Estimationfor CTU Level Rate Control in HEVC. IEEE Multimedia, July-Sept. 2018, vol. 25, no. 3, pp. 79-91, doi: 10.1109/MMUL.2018., IJPRAI
[20] Hai-Miao Hu, Mingliang Zhou, YangLiu, Naiyu Yin, A region-based intra-frame rate control scheme by jointinginter-frame dependency and inter-frame correlation. Multimedia Tools andApplications, 2017, 76(10): 12917-12940, doi: 10.1007/s11042-016-3666-x.
[21] Gang Wang, Yongfei Zhang, Bo Li, Rui Fan, Mingliang Zhou, A fast and HEVC-compatible perceptual video codingscheme using a transform-domain Multi-Channel JND model. Multimedia Tools andApplications, 2018, 77(10): 12777-12803, doi:10.1007/s 11042-017-4914-4.
[22] YimingShen, Yong Feng, Bin Fang, MingliangZhou, Sam Kwong, Baohua Qiang. DSRPH: Deep Semantic-aware RankingPreserving Hashing for Efficient Multi-label Image Retrieval. InformationSciences. (accepted).
[23] Shaoquan Zhu, Yong Feng, Mingliang Zhou, Baohua Qiang, Bin Fangand Ran Wei, Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal Retrieval, 2020 (accepted).
会议论文
[24] Zengkuan Song, Yongfei Zhang, MingliangZhou, Enhanced TFRC congestion control mechanism based on refined networkstates division, 2015 IEEE China Summit and International Conference on Signaland Information Processing (ChinaSIP), 938 – 942, doi: 10.1109/ChinaSIP.2015.**.
[25] JiaqiHuang, Yong Feng, Mingliang Zhou, Baohua Qiang, Relationship-Aware Hard Negative Generation in Deep MetricLearning, International Conference on Knowledge Science, Engineering andManagement (KSEM). Springer, Hangzhou, China, 2020 (accepted).
授权发明专利
(1) 周明亮; 赵鹏; 张永飞; 李波; 基于视频内容特征的参数自适应多维码率控制方法, 2015-2-14, 中国, CN5.4. (专利)
(2) 周明亮; 张永飞; 李波; 一种面向边海防的多源视频接入及传输链路自适应调整系统, 2016-7-1, 中国, 1.6. (专利)
(3) Mingliang Zhou; Shiqi Wang; Sam Tak WuKWONG; Chi Keung FONG; Hon Wah WONG; Hon Tung LUK; Hok Kwan CHEUNG; Yiu FaiYUEN; Method based on Coding Tree Unit Level Rate-Distortion Optimization forRate Control in Video Coding, 2018-07-17, 美国, 16/038,154. (专利)
(4) 周明亮; 张永飞; 李波; H.265/HEVC并行容错实时视频解码器软件,2016SR337946, 原始取得, 全部权利, 2016-12-21. (软件著作权)
(5) 周明亮; 王诗淇; 邝得互; 冯志强; 黄汉华; 陆瀚东; 张学坤; 袁耀辉; 基于编码树单元失真优化的视频编码码率控制方法, 2019-7-16, 中国, CN3.7. (专利)
(6) 中国标准, 钟陈; 王文峰; 宋继伟; 王思翔; 于雪平; 刘旭华; 胥建民; 陆捷; 李军; 刘君; 李星光; 李文; 石红岩; 杨春林; 郑城; 刘刚; 孙荣荣; 冷霜; 宁静; 王衍强; 方宁; 蒋慧; 周明亮; 翁斌; 张晋芳; 樊磊; 信息技术 公用生物特征识别交换格式框架 第2部分：生物特征识别注册机构操作规程, **-T-469, 全国信息技术标准化技术委员会, 2020-04-28. (标准)