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熊红凯特聘教授
地址:上海市东川路800号电信群楼1-309
电话:+86 21 34205953
邮箱:xionghongkai@sjtu.edu.cn
研究中心:媒体信息网络研究所
个人主页:http://min.sjtu.edu.cn
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个人简介
熊红凯,上海交通大学特聘教授,电子工程系教授,计算机科学与工程系兼职教授,致远学院副院长
国家杰出青年科学基金获得者,教育部长江学者特聘教授,国家“万人计划”科技创新领军人才,科技部中青年科技创新领军人才,教育部新世纪优秀人才,上海市优秀学术带头人,上海市曙光学者,上海市青年科技英才,国家宝钢优秀教师奖,上海市青年科技杰出贡献奖,上海市技术发明奖一等奖(2次,均排名第1)。IEEE高级会员、IEEE Transactions on CSVT编委。中国图像与图形学学会理事,中国电子学会高级会员、中国计算机学会高级会员。
2003年,在上海交通大学获得通信与信息系统专业博士,留校工作。2007~2008年,在美国卡内基梅隆大学CMU电机与计算机工程系ECE,担任研究员;2011~2012,在美国加州大学圣地亚哥分校(UCSD)生物医学信息中心,担任Scientist。主要研究方向为:信息论与编码、信号处理、图像视频编码与通信、计算机视觉、机器学习。在国际著名期刊和学术会议,共发表SCI、EI收录论文200余篇,包括:1本学术著作,IEEE Transactions汇刊论文55篇,顶级国际学术会议DCC、CVPR、ACM MM、AAAI等30篇。获得授权国家发明专利32项,获中国专利优秀奖。作为项目负责人,共主持:国家自然科学基金重点项目3项、重点国际合作项目1项,面上项目2项、海外及港澳学者合作项目3项、科技部863项目1项等。2013年,获得澳大利亚国家研究理事会ARC自然科学基金资助;澳大利亚新南威尔士大学、香港科技大学的博士学位评审委员;国家科学技术奖励评审专家、香港研究资助委员会的评审人。
2018年,获上海市青年科技最高奖:上海市青年科技杰出贡献奖;2017年,获“上海市技术发明奖”一等奖(第一完成人,“面向移动终端的可视媒体通信及处理关键技术与应用”);2011年,获“上海市技术发明奖”一等奖(第一完成人,“网络化的视频媒体处理与适配分发关键技术与核心系统”)。2016年,获IEEE国际学术会议VCIP(视觉通信与图像处理)Top 10%论文奖;2014年,获IEEE国际学术会议VCIP(视觉通信与图像处理)最佳学生论文奖;2013年,获IEEE国际学术会议BMSB(多媒体通信与广播)最佳论文奖;2011年,获IEEE国际学术会议MMSP(多媒体信号处理)Top 10 %论文奖;2011年10月,指导博士生获得“微软学者奖”。2010与2013年,2次入选上海交通大学“SMC-A类晨星青年学者计划”。参与筹建教育部-微软重点实验室上海交通大学“智能计算与智能系统”,担任“多媒体通信”领域负责人。在上海交通大学组建“媒体信息网络研究所”(http://min.sjtu.edu.cn),是中国电子学会青年科学家俱乐部“网络多媒体”专委会主任、中国图像图形学学会“视觉大数据”专委会副主任。
研究方向
信号处理
信号编码与通信
计算机视觉、
机器学习
生物医学信息处理
获奖情况
2016年 教育部长江学者特聘教授
2014年 国家杰出青年科学基金获得者
2018年 国家万人计划领军人才
2017年 科技部“中青年科技创新领军人才”
2018年 上海市青年科技杰出贡献奖
2017年 上海市优秀学术带头人
2014年 上海市青年科技英才
2013年 上海市曙光学者
2009年 教育部“新世纪优秀人才”
2017年 上海市技术发明奖一等奖(排名第1)
2011年 上海市技术发明奖一等奖(排名第1)
2017年 宝钢优秀教师奖
2017年 中国专利优秀奖
2013年 上海交通大学“SMC-A类”晨星青年学者
2010年 上海交通大学“SMC-A类”晨星青年学者
授课
l 小波与稀疏信号处理(全英文)Wavelets and Sparse Signal Processing
http://min.sjtu.edu.cn/courses/wt.htm
l 信号与系统(全英文)Signals and Systems
http://min.sjtu.edu.cn/courses/ss.htm
l 学术写作、规范与伦理 Academic Writing, Norms and Ethics
http://min.sjtu.edu.cn/courses/aca.htm
科研项目
l 非规则视觉大数据处理的图稀疏深度学习:理论与技术 (301万)
国家自然科学基金重点项目 No. 61932022 01/20-12/24
l 图像视频大数据的结构化学习信号处理:理论与技术 (290万)
国家自然科学基金重点国际(地区)合作项目 No. 61720106001 01/18-12/22
l 多媒体通信 (400万)
国家杰出青年科学基金项目 No. 61425011 01/15-12/18
l 移动视频分发网络的分布式优化 (180万)
国家自然科学基金海外及港澳学者合作延续资助项目 No. 61529101 01/16-12/19
l 适配网络化视频处理基础理论与实验平台 (200万)
国家自然科学基金重点项目 No. 60632040 01/07-12/10
l 多维数字媒体的稀疏表示、结构化处理与联合编码 (260万)
国家自然科学基金重点项目 No. U1201255 01/13-12/16
l 基于结构化集学习的视频稀疏编码理论与技术 (76万)
国家自然科学基金面上项目 No. 61271218 01/13-12/16
l 非对称视频编解码的多尺度分解重构技术研究 (26万)
国家自然科学基金面上项目 No. 60772099 01/08–12/10
l 感知环境下的可视化信息协作优化通信 (20万)
国家自然科学基金海外及港澳学者合作项目 No. 61228101 01/13-12/14
l 基于结构化学习的图像-视频编码与通信 (20万)
国家自然科学基金海外及港澳学者合作项目 No. 60928003 01/09-12/11
l 视频媒体基于信息可重用的分布式网络化编码及传输 (75万)
科技部863项目 No. 2006AA01Z322 12/06-10/10
l 视觉信息的结构稀疏表示 (40万)
上海市优秀学术带头人 No. 2006AA01Z322 04/17-03/20
l 基于结构化描述的高维视觉信息表示与编码 (15万)
上海市曙光学者 No. 13SG13 01/14-12/16
l Interactive and scalable media over software defined networks ($405,000)
澳大利亚国家研究理事会 No. DP140104027 Co-PI主持人 01/14-12/16
l Semi-Automatic Video Segmentation and Tracking for Mobile Platform ($320,000)
美国高通 01/10-12/20
学术兼职
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) Associate Editor (编委)
IEEE 高级会员
中国图像图形学学会 理事
中国科技导报 编委
中国电子学会青年科学家俱乐部 专业委员会“网络多媒体” 主任
中国图像图形学学会 专业委员会“视觉大数据” 副主任
中国电子学会 高级会员
中国计算机学会 高级会员
学术会议主席
- 第九届国际图像与图形会议ICIG, 上海,中国,ICIG 2017
学术会议组委会主席
- 第十二届和谐人机环境联合会议, 上海,中国,HHME 2016
著作及专利
著作和章节
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熊红凯, 孙军, 王嘉, 余松煜, 张瑞等著,“数字电视信源编码技术与应用,”电子工业出版社,2012.
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Wenrui Dai, S. Wang, Hongkai Xiong, X. Jiang.
Privacy Preserving Federated Big Data Analysis [M]// In: Srinivasan S.
(eds) Guide to Big Data Applications. Studies in Big Data, vol 26. Springer
International Publishing, 2018: 49-82.
. 授权专利
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熊红凯,李成林,程晗,“文件大小异构的分布式编码缓存放置方法及系统”,中国国家发明专利,专利授权号:ZL 201710400953.0,授权日期:2019-09
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熊红凯,徐璨,“基于迭代方向滤波器组可逆深度卷积网络结构”,中国国家发明专利,专利授权号:ZL 201510924544.1,授权日期:2019-10
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熊红凯,倪赛杰,“基于多任务正则化与逐层监督神经网络的人脸点检测系统”,中国国家发明专利,专利授权号:ZL 201510807796.6,授权日期:2019-05
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熊红凯,李成林,“动态自适应视频流媒体的分布式缓存放置方法”,中国国家发明专利,专利授权号:ZL 201610298248.X,授权日期:2019-02
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熊红凯,王博韬,“基于多语义码本图像特征表示方法”,中国国家发明专利,专利授权号:ZL 201510744318.5,授权日期:2019-02
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熊红凯,蒋晓谦,李勇,“基于垂直分布隐私数据保护的logistic回归分析系统”,中国国家发明专利,专利授权号:ZL 201510443551.X,授权日期:2019-02
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熊红凯,张宇辰,“基于同态加密隐私数据保护的编辑距离计算系统”,中国国家发明专利,专利授权号:ZL 201510807824.4,授权日期:2019-01
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熊红凯,李勇,“基于结构化稀疏的压缩张量采集与重构系统”,中国国家发明专利,专利授权号:ZL 2016100537330,授权日期:2018-4
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熊红凯,李成林,“可伸缩视频流动态多码率组播优化传输方法”,中国国家发明专利,专利授权号:ZL 201510456223.3,授权日期:2018-7
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熊红凯,张晓鹏,“精细粒度类别识别及物体的部分定位和特征提取方法”,中国国家发明专利,专利授权号:ZL 201510026025.3,授权日期:2018-7
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熊红凯,李勇,“基于数据驱动张量子空间的压缩视频采集与重构系统”,中国国家发明专利,专利授权号:ZL
201410468199.0,授权日期:2018-7
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熊红凯,唐欣,“基于多尺度在线字典学习的可分级视频编码”,专利授权号:ZL 201410331199.6,授权日期:2018-1
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熊红凯,王博韬,“基于文本-物体-场景关系的弱监督学习的物体和场景的联合预测”,中国国家发明专利,专利授权号:ZL 201410831227.0,授权日期:2017-12
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熊红凯,唐欣,“基于分层结构渐进式字典学习的可分级视频编码系统”,中国国家发明专利,专利授权号:ZL 201410768645.X,授权日期:2017-12
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熊红凯,李勇,“基于结构化稀疏字典学习的压缩视频采集与重构系统”,专利授权号:ZL 201410545458.5,授权日期:2017-10
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熊红凯,申扬眉,“基于自适应亚模字典选择的超分辨率图像重建系统”,专利授权号:ZL
2015100264644,授权日期:2017-08
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熊红凯,李平好,“基于嵌入式变换编码的压缩感知光谱成像测量值压缩方法”,专利授权号:ZL
201410010586.X,授权日期:2017-4
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熊红凯,李勇,“基于数据驱动子空间集的压缩视频采集与重构系统”,专利授权号:ZL
201310422841.7,授权日期:2016-11
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熊红凯,张晓鹏,“多视角视频编码中基于低秩结构提取的亮度补偿方法”, 专利授权号:ZL
201310425812.6,授权日期:2016-11
20. 熊红凯,李平好,“基于多参考序列的基因序列分级压缩方法”,专利授权号:ZL201310433248.2,授权日期:2016-07
21. 熊红凯,李平好,“基于非连续上下文建模和最大熵原则的基因压缩方法”,专利授权号:ZL201310433453.9,授权日期:2016-08
22. 熊红凯,王博韬,“维持视觉显著性的视频重定向系统”,专利授权号:ZL2013100868611,授权日期:2016-07
23. 熊红凯,叶鑫纬,“基于高维压缩感知的视频信号采集与重构系统”,专利授权号:ZL 201310091422.X,授权日期:2016-03
24. 熊红凯,朱青祥,“基于形状传递联合分割和图匹配校正的轮廓跟踪方法”,专利授权号:ZL 201310093489.7,授权日期:2016-03
25. 熊红凯,李成林,“用于可伸缩视频流的多速率组播通信的优化传输方法”,专利授权号:ZL201110100147.4,授权日期:2013-03
26. 熊红凯,朱凌晨,“可伸缩视频稀疏信息处理系统”,中国国家发明专利,专利授权号:ZL 201010194922.2,授权日期:2011-08
27. 熊红凯,袁喆,“基于稀疏采样和纹理重建的视频编码系统”,专利授权号:ZL 201010202062.2,授权日期:2011-11
28. 熊红凯,宋利,孙军,余松煜,周军,“网络视频编码器多维尺度码率控制方法”,专利授权号:ZL200510026390,授权日期:2007-12
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熊红凯,张永生,“基于视频时空相关性约束的分布式视频编码重构方法”,专利授权号:ZL201010544979.0,授权日期:2012-04
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熊红凯,张永生,“基于嵌入式分布式视频编码描述的视频抗差错编解码方法”,专利授权号:ZL201010544993.0,授权日期:2012-04
重要论文
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Xiaopeng Zhang, Yang Yang, Hongkai Xiong, Jiashi Feng,
“PML-LocNet: Improving Object Localization with Prior induced Multi-view Learning
Network”, accepted by IEEE Transactions on Image Processing,
2019.
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Yong Li, Wenrui Dai,
Junni Zou, Hongkai Xiong, Yuan
F. Zheng, “Scalable Structured Compressive Video Sampling with
Hierarchical Subspace Learning”, accepted by IEEE Transactions on Circuits
and Systems for Video Technology, 2019.
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Yuhui Xu, Wenrui Dai,
Yingyong Qi, Junni Zou, and Hongkai
Xiong, “Iterative Deep Neural Network Quantization with Lipschitz
Constraint”, accepted by IEEE Transactions on Multimedia,
2019.
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Yuchen Zhang, Wenrui Dai, Mingxing Xu, Junni
Zou, Xiaopeng Zhang, Hongkai Xiong,
“Depth Estimation from Light Field Using Graph-Based Structure-Aware Analysis”,
accepted by IEEE Transactions on Circuits and Systems for Video Technology,
2019.
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Junni Zou, Chenglin Li, Chengming Liu, Qin
Yang, Hongkai Xiong, Eckehard
Steinbach, “Probabilistic Tile Visibility-Based Server-Side Rate Adaptation
for Adaptive 360-Degree Video Streaming”, accepted by IEEE Journal of Selected
Topics in Signal Processing, 2019.
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Junni Zou, Chenglin Li, Congcong Zhai, Hongkai Xiong, Eckehard Steinbach,
“Joint Pricing and Cache Placement for Video Caching: A Game Theoretic Approach”, IEEE
Journal on Selected Areas in Communications, vol. 37, no. 7, pp.
1566-1583, 2019.
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Junni Zou, Liwan Huang, Xiaofeng Gao, Hongkai Xiong, “Joint Pricing and
Decision-Making for Heterogeneous User Demand in Cognitive Radio Networks”, IEEE
Transactions on Cybernetics, vol. 49, no. 11, pp. 3873-3986, Nov. 2019.
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Weiyao Lin, Yuxi Li,
Hao Xiao, John See, Junni Zou, Hongkai
Xiong, Jingdong Wang, Tao Mei, “Group Reidentification with Multigrained
Matching and Integration”, accepted by IEEE Transactions on
Cybernetics, 2019.
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Xiaopeng Zhang, Hongkai Xiong, W. Lin, Q. Tian, “Weak to Strong Detector
Learning for Simultaneous Classification and Localization”, IEEE
Transactions on Circuits and Systems for Video Technology, vol.
29, no. 2, pp. 418-432, Feb. 2019.
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Botao Wang; Junni Zou, Yong Li, Kuanyu Ju, Hongkai Xiong; Y. F. Zheng, “Sparse-to-Dense
Depth Estimation in Videos via High-Dimensional Tensor Voting”, IEEE
Transactions on Circuits and Systems for Video Technology, vol.
29, no. 1, pp. 68-79, Jan. 2019.
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Guangcan Liu, Yubao Sun, Zhao Zhang, Qingshan
Liu, Meng Wang, Hongkai Xiong,
“Robust Subspace Clustering with Compressed Data”, IEEE Transactions on Image Processing,
vol. 28, no. 10, pp. 5161-5169, Oct. 2019.
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Wenrui Dai, Yong Li, Junni Zou, Hongkai Xiong, Yuan F. Zheng,
“Fully Decomposable Compressive Sampling with Joint Optimization for Multidimensional
Sparse Representation”, IEEE Transactions on Signal Processing,
vol. 66, no. 3, pp. 603-616, Feb. 2018.
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Chenglin Li, Hongkai Xiong, Junni Zou, Dapeng Wu, “Joint Dynamic Rate
Control and Transmission Scheduling for Scalable Video Multirate Multicast
over Wireless Networks”, IEEE Transactions on Multimedia,
vol. 20, no. 2, pp. 361-378, Feb. 2018.
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Chenglin Li, Toni Laura, Junni Zou, Hongkai Xiong, Frossard Pascal,
“Delay-Power-Rate-Distortion Optimization of Video Representations for
Dynamic Adaptive Streaming”, IEEE Transactions on Circuits and
Systems for Video Technology, vol. 28, no. 7, pp. 1648-1664, July 2018.
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Chenglin Li, Laura Toni, Junni Zou, Hongkai Xiong, Pascal Frossard, “QoE-Driven
Mobile Edge Caching Placement for Adaptive Video Streaming”, IEEE
Transactions on Multimedia, vol. 20, no. 4, pp. 965-984, Apr. 2018.
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Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Y. F. Zheng, “Structured
Sparse Representation with Union of Data-driven Linear and Multi-Linear
Subspaces Model for Compressive Video Sampling”, IEEE Transactions on Signal
Processing, vol. 65, no. 19, pp. 5062-5077, Oct. 2017.
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Xiaopeng Zhang, Hongkai Xiong, W. Zhou, W. Lin, Q. Tian, “Picking Neural
Activations for Fine-grained Recognition”, IEEE Transactions on Multimedia,
vol. 19, no. 12, pp. 2736-2750, Dec. 2017.
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Wenrui Dai, Yangmei Shen, Hongkai Xiong, Xiaoqian Jiang, Junni Zou, David Taubman, “Progressive
Dictionary Learning with Hierarchical Predictive Structure for Scalable
Video Coding”, IEEE Transactions on Image Processing, vol. 26, no. 6, pp.
2972-2987, June 2017.
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Botao Wang; Zhihui Fu; Hongkai Xiong; Y. F. Zheng, “Transductive Video Segmentation
on Tree-Structured Model”, IEEE Transactions on Circuits and
Systems for Video Technology, vol. 27, no. 5, pp. 922-1005, May 2017.
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Chuan Wang, Hua Zhang, Liang Yang, Xiaochun
Cao, Hongkai Xiong, “Multiple
Semantic Matching on Augmented N-partite Graph for Object
Co-segmentation”, IEEE Transactions on Image Processing,
vol. 26, no. 12, pp. 5825-5839, Dec. 2017.
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Botao Wang, Hongkai Xiong, Weiyao Lin, Junni Zou, Yuan F. Zheng, "Multitask
Learning of Compact Semantic Codebooks for Context-aware Scene Modeling", IEEE
Transactions on Image Processing, vol. 25, no. 11, pp. 5411-5426, Nov. 2016.
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Wenrui Dai, Yangmei Shen, Xin Tang, J. Zou, Hongkai Xiong, C. W. Chen, "Sparse
Representation with Spatio-Temporal Online Dictionary Learning for Efficient
Video Coding", IEEE Transactions on Image Processing,
vol. 25, no. 10, pp. 4580-4595, Oct. 2016.
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Botao Wang, D. Lin, Hongkai Xiong, Y. F. Zheng, “Joint Inference of Objects and
Scenes with Efficient Learning of Text-Object-Scene Relations”, IEEE Transactions on Multimedia,
vol. 18, no. 3, pp. 507-520, Mar. 2016.
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Xiaopeng Zhang, Hongkai Xiong, W. Zhou, Q. Tian, “Fused One-vs-All Features
with Semantic Alignments for Fine-Grained Visual Categorization”, IEEE Transactions on Image Processing,
vol. 25, no. 2, pp. 878-891, Feb. 2016.
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Wenrui Dai, Hongkai Xiong, J. Wang, S. Cheng, Y. F. Zheng, “Generalized
Context Modeling with Multi-Directional Structuring and MDL-based Model
Selection for Heterogeneous Data Compression”, IEEE Transactions on Signal Processing, vol. 63, no. 2,
November 1, pp. 5650-5664, Nov. 2015.
-
J. Zou, Q. Wu, Hongkai Xiong, C. W. Chen, "Dynamic Spectrum Access and
Power Allocation for Cooperative Cognitive Radio Networks", IEEE Transactions on Signal Processing,
vol. 63, no. 2, pp. 5650-5664, Nov. 2015.
-
S. Wang, Yuchen Zhang, Wenrui Dai, K. Lauter,
M. Kim, Y. Tang, Hongkai Xiong,
and X. Jiang, “HEALER: Homomorphic computation of ExAct Logistic
rEgRes-sion for secure rare disease variants analysis in GWAS”, Bioinformatics, vol. 32, no. 2,
pp. 211-218, 2016.
-
Yong Li, X. Jiang, S. Wang, Hongkai Xiong, L. Ohno-Machado,
“VERTIcal Grid lOgistic regression (VERTIGO)”, Journal of the American Medical Informatics Association,
2016.
-
Chenglin Li, Hongkai Xiong, Dapeng Wu, “Delay-Rate-Distortion Optimized Rate
Control for End-to-end Video Communication over Wireless Channels”, IEEE Transactions on Circuits and
Systems for Video Technology, vol. 25, no. 10, pp. 1665-1681, Oct.
2015.
-
Botao
Wang, Hongkai Xiong, Jiang X,
Y. F. Zheng, "Data-driven Hierarchical Structure Kernel for Multiscale
Part Based Object Recognition", IEEE Transactions on Image Processing, vol. 23, no. 4, pp.
1765-1778, Apr. 2014.
-
Wenrui
Dai, Hongkai Xiong, Jia Wang, Y.
F. Zheng. “Large Discriminative Structured Set Prediction Modeling With
Max-Margin Markov Network for Lossless Image Coding,” IEEE Transactions on Image Processing,
vol. 23, no. 2, pp. 541-554, Feb. 2014.
-
Chenglin
Li, Dapeng Wu, Hongkai Xiong,
“Delay-Power-Rate-Distortion Model for Wireless Video Communication Under
Delay and Energy Constraints”, IEEE
Transactions on Circuits and Systems for Video Technology, vol. 24,
no. 7, pp. 1170-1183, July 2014.
-
B.
Wang, Hongkai Xiong, Z. Ren, C.
W. Chen, “Deformable Shape Preserving Video Retargeting with Salient Curve
Matching”, IEEE Journal on
Emerging and Selected topics in Circuits and Systems, vol. 4, no.
1, pp. 82-94, Jan. 2014.
-
Junni Zou, Q. Wu, Hongkai Xiong, C. W. Chen, “Joint Spectrum and Power Auction with
Multi-Auctioneer and Multi-Bidder in Coded Cooperative Cognitive Radio
Networks”, IEEE Transactions on Wireless Communication, vol. 13, no. 10, pp. 5768-5780, Oct. 2014.
-
W.
Dai, Hongkai Xiong, X. Jiang,
C. W. Chen, “Structured Set Intra Prediction with Discriminative Learning
in Max-Margin Markov Network for High Efficiency Video Coding”, IEEE Transactions on Circuits and
Systems for Video Technology, vol. 23, no. 11, pp. 1941-1956, Nov.
2013.
-
Hongkai Xiong, Pan
Z, Ye X, Chen C. W. “Sparse Spatio-Temporal Representation with Adaptive
Regularized Dictionary Learning for Low Bit-Rate Video Coding,” IEEE Transactions on Circuits and
Systems for Video Technology, vol. 23, no. 4, pp. 710-728, Apr.
2013.
-
Hongkai Xiong,
Zheng D, Zhu Q, Wang B, Zheng Y. F. “A Structured Learning-Based Graph
Matching Method For Tracking Dynamic Multiple Objects,” IEEE Transactions on Circuits and
Systems for Video Technology, vol. 23, no. 3, pp. 534-548, Mar.
2013.
-
J.
Zou, Hongkai Xiong, D. Wang, C.
W. Chen, “Optimal Power Allocation for Hybrid Overlay/Underlay Spectrum
Sharing in Multiband Cognitive Radio Networks”, IEEE Transactions on Vehicular Technology, vol. 62, no. 4,
pp. 1827-1837, May 2013.
-
P. Li, X. Jiang, S. Wang, J.
Kim, Hongkai Xiong, Lucila Ohno-Machado. “HUGO: Hierarchical mUlti-reference Genome
cOmpression For Aligned Reads”, Journal
of the American Medical Informatics Association, doi:10.1136/amiajnl-2013-002147,
vol. 23, Mar. 2014.
-
P. Li, S. Wang, J. Kim, Hongkai Xiong, L. Ohno-Machado, X. Jiang, “DNA-COMPACT: DNA
COMpression Based on A
Permutation-Allocated Contextual Targeting Approach”, PLoS ONE, 8(11):
e80377. doi:10.1371/journal.pone.0080377, Nov. 2013.
-
C.
Li, Hongkai Xiong, J. Zou, C.
W. Chen, “Distributed Robust Optimization for Scalable Video Multi-Rate Multicast
over Wireless Networks”, IEEE Transactions
on Circuits and Systems for Video Technology, vol. 22, no. 6, pp.
943-957, Jun. 2012.
-
Hongkai Xiong, L.
Zhu, N. Ma, Y. Zheng, “Scalable Video Compression Framework with Adaptive
Orientational Multiresolution Transform and Nonuniform Directional Filterbank
Design”, IEEE Transactions on Circuits
and Systems for Video Technology, vol. 21, no. 8, pp. 1085-1099,
Aug. 2011.
-
Hongkai Xiong, Y.
Xu, Y. Zheng, C. W. Chen, “Priority Belief Propagation based Inpainting Prediction
with Tensor Voting Projected Structure in Video Compression,” IEEE Transactions on Circuits and
Systems for Video Technology, vol. 21, no. 8, pp. 1115-1129, Aug.
2011.
-
Y.
Zhang, Hongkai Xiong, Z. He, S.
Yu, C. W. Chen, “Reconstruction for Distributed Video Coding: A
Context-Adaptive Markov Random Field Approach”, IEEE Transactions on Circuits and Systems for Video Technology,
vol. 21, no. 8, pp. 1100-1114, Aug. 2011.
-
C.
Li, Hongkai Xiong, J. Zou, Z.
He, “Joint Source and Flow Optimization for Scalable Video Multi-rate
Multicast over Hybrid Wired/Wireless Coded Networks”, IEEE Transactions on Circuits and
Systems for Video Technology, vol. 21, no. 5, pp. 550-564, May
2011.
-
Y.
Zhang, Hongkai Xiong, Z. He, S.
Yu, C. W. Chen, " An Error Resilient Video Coding Scheme Using Embedded Wyner–Ziv Description
With Decoder Side Non-Stationary Distortion Modeling," IEEE Transactions on Circuits and
Systems for Video Technology, vol. 21, no. 4, pp. 498-512, Apr.
2011.
-
J.
Zou, Hongkai Xiong, C. Li, L.
Song, Z. He, T. Chen, “Prioritized Flow Optimization with Multi-Path and
Network Coding Based Routing for Scalable Multirate Multicasting,” IEEE Transactions on Circuits and
Systems for Video Technology, vol. 21, no. 3, pp. 259-273, Mar.
2011.
-
J.
Zou, Hongkai Xiong, C. Li, R.
Zhang, Z. He, “Lifetime and Distortion Optimization with Joint Source/Channel
Rate Adaptation and Network Coding Based Error-Control in Wireless Video
Sensor Networks,” IEEE
Transactions on Vehicular Technology, vol. 60, no. 3, pp.
1182-1194, Mar. 2011.
-
C.
Li, J. Zou, Hongkai Xiong, C. W.
Chen, “Joint Coding/Routing Optimization for Distributed Video Sources in
Wireless Visual Sensor Networks,” IEEE
Transactions on Circuits and Systems for Video Technology, vol.
21, no. 2, pp. 141-155, Feb. 2011.
-
Zhihai
He, Hongkai Xiong,
“Transmission Distortion Analysis for Real-Time Video Encoding and
Streaming over Wireless Networks”, IEEE Transactions on Circuits and
Systems for Video Technology, vol. 16, no. 9, pp. 1051-1062, Sep.
2006.
3. 会议
-
P. Jiang, Q. Hou, Y. Cao, Ming-Ming Cheng, Y. Wei, Hongkai Xiong, “Integral Object
Mining via Online Attention Accumulation”, International Conference in
Computer Vision (ICCV 2019), Seoul,
Korea, Nov. 2019.
-
Shaohui Li, Ziyang Zheng, Wenrui
Dai, Hongkai Xiong, “Lossy
Image Compression with Filter Bank based Convolutional Networks”, IEEE
Data Compression Conference (DCC’2019),
Snowbird, Utah, USA, Apr. 2019.
-
Yuhui Xu, Shuai Zhang,
Yingyong Qi, Weiyao Lin, Hongkai
Xiong, “DNQ: Dynamic Network Quantization”, IEEE Data Compression Conference
(DCC’2019), Snowbird, Utah,
USA, Apr. 2019.
-
Nuowen Kan, Junni Zou, Kexin
Tang, Chenglin Li, Ning Liu, Hongkai Xiong, “Deep Reinforcement
Learning-based Rate Adaptation for Adaptive 360-degree Video Streaming”, IEEE
International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2019), Brighton, UK, May,
2019.
-
Nuowen Kan, Chengming Liu,
Junni Zou, Chenglin Li, Hongkai
Xiong, “A Server-side Optimized Hybrid Multicast-Unicast Strategy for
Multi-User Adaptive 360-Degree Video Streaming”, IEEE International Conference
on Image Processing (ICIP 2019),
Taipei, Taiwan, China, Sep. 2019.
-
Yongzhuang Wang, Yangmei
Shen, Hongkai Xiong, Weiyao Lin,
“Adaptive Hard Example Mining for Image Captioning”, IEEE International
Conference on Image Processing (ICIP
2019), Taipei, Taiwan, China, Sep. 2019.
-
Chunmiao Liu, Bowen Shi,
Chenglin Li, Junni Zou, Yingqi Chen, and Hongkai Xiong, “Deep Neural Network-Based Algorithm
Approximation via Multivariate Polynomial Regression”, IEEE Global
Communications Conference (GlobeCOM’2019),
Waikoloa, Hawaii, USA, Dec. 2019.
-
Yuhui Xu, Yuxi Li, Shuai
Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao
Lin, Hongkai Xiong, “Trained
Rank Pruning for Efficient Deep Neural Networks”, The NeurIPS-EMC2 Workshop on Energy Efficient Machine Learning and
Cognitive Computing, colocated with the 33rd Conference on Neural Information
Processing Systems, Vancouver, CANADA, Dec. 2019.
-
Xiaopeng Zhang, J. Feng, Hongkai Xiong, Q. Tian, “Zigzag
Learning for Weakly Supervised Object Detection”, IEEE Int'l Conf.
Computer Vision and Pattern Recognition (CVPR 2018), June 2018.
-
Yuhui Xu, Yongzhuang Wang, A.
Zhou, Weiyao Lin, Hongkai Xiong,
“Deep Neural Network Compression with Single and Multiple Level
Quantization”, Association for the Advancement of Artificial Intelligence Conference
on Artificial Intelligence (AAAI-18),
Feb. 2018.
-
Weiyao Lin, Yang Mi, Jianxin
Wu, Ke Lu, Hongkai Xiong,
“Action Recognition with Coarse-to-Fine Deep Feature Integration and
Asynchronous Fusion”, Association for the Advancement of Artificial
Intelligence Conference on Artificial Intelligence (AAAI-18), Feb. 2018.
-
Xing Gao, Hongkai Xiong, “Unsupervised
Representation Learning with Prior-Free and Adversarial Mechanism Embedded
Autoencoders”, IEEE International Conference on Multimedia and Expo (ICME 2018), San Diego, USA, July
2018.
-
Dongchen Yu, Xing Gao, Hongkai Xiong, “Structured
Semantic Representation for Visual Question Qnswering”, IEEE International
on Image Processing (ICIP 2018),
Athens, Greece, Oct. 2018.
-
Chengming Liu, Nuowen Kan,
Junni Zou, Qin Yang, Hongkai Xiong,
“Server-side Rate Adaptation for Multi-user 360-degree Video Streaming”, IEEE
International on Image Processing (ICIP 2018), Athens, Greece, Oct. 2018.
-
Hao Xiao, Weiyao Lin, Bin
Sheng, Ke Lu, Junchi Yan, Jingdong Wang, Errui Ding, Yihao Zhang, Hongkai Xiong, “Group
Re-Identification: Leveraging and Integrating Multi-Grain Information”, ACM
International Conference on Multimedia (ACMM’2018), Seoul, Korea, Oct. 2018.
-
Wenjing Fan, Wenrui Dai, Yong
Li, Hongkai Xiong, “Complementary
Contextual Models with FM-index for DNA Compression”, IEEE Data
Compression Conference (DCC’2017),
Snowbird, Utah, USA, Apr. 2017. (Oral Paper)
-
Yong Li, Wenrui Dai, Hongkai Xiong, “Nonconvex
Optimization with Alternating Direction Method of Multipliers for
Tensor-based Compressed Sensing with Group Sparsity”, IEEE Data
Compression Conference (DCC’2017),
Snowbird, Utah, USA, Apr. 2017.
-
Saijie Ni, Xiaopeng Zhang,
Botao Wang, Hongkai Xiong,
“Webly-supervised Visual Concept Learning with Cardinality Guided Instance
Mining and Clustered Multitask Refinement”, IEEE International Conference
on Multimedia and Expo (ICME 2017),
Hong Kong, July 2017.
-
Can Xu, Wenrui Dai, Hongkai Xiong, “Extended Conjugate
Polar Fourier Transform in Convolution Network”, IEEE International on
Image Processing (ICIP 2017), Beijing, China, Sep. 2017.
-
Han Cheng, Chenglin Li, Hongkai Xiong, Pascal Frossard, “Optimal
Decentralized Coded Caching for Heterogeneous Files”, European Signal
Processing Conference (EUSIPCO 2017), Kos island, Greece, Aug.
2017.
-
Xiaopeng Zhang, Hongkai Xiong, W. Zhou, W. Lin and
Q. Tian, “Picking Deep Filter Responses for Fine-grained Image
Recognition”, IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR 2016), 2016.
-
Yong Li, Wenrui Dai, Hongkai Xiong, “Compressive Tensor
Sampling with Structured Sparsity”, IEEE Data Compression Conference (DCC’2016), Snowbird, Utah, USA,
Mar. 2016. (Oral Paper)
-
Can Xu, Hongkai Xiong, “Revertible Deep Convolutional Networks with Iterated
Directional Filter Bank”, IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP’2016), Shanghai, Mar. 2016.
-
Kuanyu Ju, Yong Li, Hongkai Xiong, “Depth Propagation
with Tensor Voting for 2D-TO-3D Video Conversion”, IEEE International
Conference on Acoustics, Speech, and Signal Processing (ICASSP’2016),
Shanghai, Mar. 2016.
-
Xing Gao, Hongkai Xiong, “A Hybrid Wavelet
Convolution Network with Sparse-Coding for Image Super-Resolution'”, IEEE
International on Image Processing (ICIP 2016), Phoenix, USA, Sep. 2016.
-
Yuchen Zhang, Hongkai Xiong, “A Cost
Minimization with Light Field in Scene Depth Map Estimation'”, IEEE
International on Image Processing (ICIP 2016), Phoenix, USA, Sep. 2016.
-
W. Xu, J. Zou, Hongkai Xiong, “Joint Source-Channel
Rate Control for Multiview Video Streaming over Erasure Channels'”, IEEE
International on Image Processing (ICIP 2016), Phoenix, USA, Sep. 2016.
-
Chenglin Li, P. Frossard, Hongkai Xiong, J. Zou,
“Distributed Wireless Video Caching Placement for Dynamic Adaptive
Streaming”, ACM SIGMM Workshop on Network and Operating Systems Support
for Digital Audio and Video (NOSSDAV 2016), Klagenfurt am Worthersee, Austria, May 2016.
-
Yangmei Shen, Wenrui Dai, Hongkai Xiong, “Adaptive
Submodular Dictionary Selection for Sparse Representation Modeling with
Application to Image Super-Resolution”, IEEE Data Compression Conference (DCC’2015),
Snowbird, Utah, USA, Apr. 7-9, 2015.
-
Yong Li, Wenrui Dai, Hongkai Xiong, “Subspace Learning
with Structured Sparsity for Compressive Video Sampling”, IEEE Data
Compression Conference (DCC’2015), Snowbird, Utah, USA, Apr. 7-9,
2015.
-
Xin Tang, Wenrui Dai, Hongkai Xiong, “Progressive
Dictionary Learning with Hierarchical Structure for Scalable Video
Coding”, IEEE Data Compression Conference (DCC’2015), Snowbird,
Utah, USA, Apr. 7-9, 2015.
-
Wenrui Dai, Hongkai Xiong, “Bi-Directional
Context Modeling with Combinatorial Structuring for Genome Sequence Compression”,
IEEE Data Compression Conference (DCC’2015), Snowbird, Utah, USA,
Apr. 7-9, 2015.
-
Zhihui Fu, Botao Wang, Hongkai Xiong, “Transductive Video
Co-segmentation on the Temporal Trees”, IEEE International Conference on
Image Processing (ICIP’2015), Quebec City, Canada, Sep. 2015.
-
W. Xu, J. Zou, Hongkai Xiong, “Interactive
Multiview Video Scheduling through Bargaining”, IEEE International
Conference on Image Processing (ICIP’2015), Quebec City, Canada,
Sep. 2015.
-
W. Dai, Hongkai Xiong, “Gaussian Process Regression Based Prediction
for Lossless Image Coding”, IEEE Data Compression Conference (DCC’2014),
Snowbird, Utah, USA, Mar. 26-28, 2014. (Oral Paper)
-
Y. Li, Hongkai Xiong, “Union of Data-driven Subspaces via Subspace
Clustering for Compressive Video Sampling”, IEEE Data Compression
Conference (DCC’2014), Snowbird, Utah, USA, Mar. 26-28, 2014. (Oral
Paper)
-
P. Li, Hongkai Xiong, H. Arguello, and G. R. Arce “Embedded Transform
Coding based Lossless Compression in Compressive Spectral Imaging with
Coded Aperture”, IEEE Data Compression Conference (DCC’2014),
Snowbird, Utah, USA, Mar. 26-28, 2014.
-
Xin Tang, Hongkai Xiong, X. Jiang,
“Multiscale Online Dictionary Learning with Hierarchical Sparsity for
Scalable Video Coding”, IEEE Data Compression Conference (DCC’2014),
Snowbird, Utah, USA, Mar. 26-28, 2014.
-
Xiaopeng Zhang, Hongkai Xiong, “Multiscale Edge
Coding and Adaptive Lifting for Depth Maps Coding in 3-D Video”, IEEE Data
Compression Conference (DCC’2014), Snowbird, Utah, USA, Mar. 26-28,
2014.
-
Xiaopeng Zhang, Hongkai
Xiong, W. Zhou, Q. Tian, “Fused One-vs-All Mid-Level Features for Fine-Grained
Visual Categorization”, ACM International Conference on Multimedia (ACMM’2014), Full Paper, Orlando,
Florida, USA, Nov. 2014.
-
Chenglin Li, Hongkai Xiong, D. Wu,
“Delay-Rate-Distortion Optimized Rate Control for Wireless Video
Communication”, IEEE International Conference on Image Processing (ICIP’2014), Paris, France, Oct.
2014.
-
Zhihui Fu, Hongkai Xiong, “Figure/ground
video segmentation using greedy transductive cosegmentation”, IEEE International
Conference on Image Processing (ICIP’2014),
Paris, France, Oct. 2014.
-
C. Li, Hongkai Xiong, J. Zou, D. Wu, “Dynamic Rate Allocation and
Opportunistic Routing for Scalable Video Multirate Multicast over
Time-Varying Wireless Networks”, IEEE INFOCOM Workshop on Communication and Networking Techniques for Contemporary
Video, Toronto, Canada, Apr.-May 2014.
-
W. Dai, Hongkai Xiong, Xiaoqian Jiang, “An Adaptive Difference
Distribution-based Coding with Hierarchical Tree Structure for DNA
Sequence Compression”, IEEE Data Compression Conference (DCC’2013),
Snowbird, Utah, USA, Mar. 20-22, 2013. (Oral Paper)
-
Xin Tang, Hongkai Xiong, “STOL:
Spatio-Temporal Online Dictionary Learning for low bit-rate video coding”,
IEEE Data Compression Conference (DCC’2013), Snowbird, Utah, USA,
Mar. 20-22, 2013.
-
S.
Wang, X. Jiang, L. Cui, S. Cheng, Nikos Deligiannis, W. Dai, P. Li, Hongkai
Xiong, Lucila Ohno-Machado, “Genome Sequence Compression with Distributed Source
Coding”, IEEE Data Compression Conference (DCC’2013), Snowbird,
Utah, USA, Mar. 20-22, 2013.
-
X. Zhang, Hongkai Xiong, “Illumination
Compensation via Low Rank Matrix Completion for Multiview Video Coding”,
IEEE International Conference on Image Processing (ICIP’2013),
Melbourne, Australia, Sep. 2013.
-
Botao Wang, Hongkai Xiong, Xiaoqian Jiang, F.
Lin, “Semi-supervised Object Recognition using Structure Kernel”, IEEE
International Conference on Image Processing (ICIP’2012), Orlando,
Florida, USA, Sep. 2012.
-
Z. Pan, Hongkai Xiong, “Sparse Spatio-Temporal Representation with
Adaptive Regularized Dictionaries for Super-Resolution based Video
Coding”, IEEE Data Compression Conference (DCC’2012), Snowbird,
Utah, USA, Apr. 10-12, 2012. (Oral Paper)
-
X. Ye, Hongkai Xiong, “Optimal Spatio-Temporal Projections with
Holo-Kronecker Compressive Sensing of Video Acquisition”, IEEE Data Compression
Conference (DCC’2012), Snowbird, Utah, USA, Apr. 2012.