Junni Zou
Professor, PhD Advisor
Department of Computer Science & Engineering
Shanghai Jiao Tong University
Office: Room 437, SEIEE Building No.3
Dongchuan Road 800, Minhang District
Shanghai Jiao Tong University
Shanghai, China, 200240
E-mail: zoujunni@sjtu.edu.cn
Homepage: http://www.cs.sjtu.edu.cn/~zou-jn
http://min.sjtu.edu.cn/
Recruiting
We are looking for well motivated Master and PhD students to work on Artificial Intelligence, Computer Visio, and Video Streaming. If you are interested in these areas, feel free to send me your CV.
Biography
邹君妮，教授，博士生导师，国家杰出青年科学基金获得者（2021），国家优秀青年科学基金获得者（2016）。2008年在美国卡内基梅隆大学（CMU）从事研究；2011年-2012年，在美国加州大学圣地亚哥分校（UCSD）担任全职访问教授。2017年起，在上海交通大学计算机科学与工程系担任教授。先后获得上海市科技奖励一等奖3项；2018年，获中国电子学会“技术发明奖”二等奖；2020年，获吴文俊人工智能“科技进步奖”二等奖。
主要研究领域：多媒体通信、分布式网络与优化、沉浸式视觉处理与传输、强化学习人工智能等。主持国家自然科学基金重点等项目7项、科技部863计划、国际科技合作项目、省部委课题等多项课题。共发表SCI、EI收录论文近 150 篇，其中： IEEE Transactions汇刊论文40篇，著名国际学术会议CVPR、ICML、ACMM、GLOBECOMM等45篇；合作出版专著2部，获中国授权发明专利30项。在上海交通大学“媒体信息网络研究所”（http://min.sjtu.edu.cn/），负责媒体信息的网络通信与智能技术研究和研究生培养。
Junni Zou is currently a full Professor with the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China. She was a visiting professor with the Department of Electrical and Computer Engineering, University of California, San Diego (UCSD), USA, from 2011 to 2012.
Her research interests include multimedia communication, distributed network optimization, immersive visual processing, reinforcement learning. She has published over 150 IEEE journal/conference papers, and 2 book chapters, including 40 IEEE Transactions journal papers. She holds 30 patents and has 20+ under reviewing patents.
Dr. Zou was granted National Science Fund for distinguished Young Scholar in 2021, and National Science Fund for Outstanding Young Scholar in 2016. She obtained the First Prize of the Shanghai Technological Innovation Award in 2017 and 2011, and the First Prize of the Shanghai Science and Technology Advancement Award in 2008. Also, she obtained the Second Prize of Technological Innovation Award of the Chinese Institute of Electronics in 2018, and the Second Prize of Science and Technology Advancement Award of Chinese Association for Artificial Intelligence in 2020.
AWARDS AND HONORS
2021 National Science Fund for Distinguished Young Scholar
2020 Science and Technology Advancement Award-Second Prize, Chinese Association for Artificial Intelligence
2018 Technological Innovation Award-Second Prize, the Chinese Institute of Electronics
2017 Technological Innovation Award-First Prize, Shanghai
2016 National Science Fund for Outstanding Young Scholar
2011 Technological Innovation Award-First Prize, Shanghai
2011 Shanghai Young Rising-Star Scientist
2008 Science and Technology Advancement Award-First Prize, Shanghai
RESEARCH INTERESTS
1. Video Networking and Communications
-- Point Cloud video streaming
-- 360-degree video streaming
-- Adaptive video streaming
2. Source-aware resource allocation
-- Congestion control, scheduling and routing
-- Collaboration and cross-layer design
3. Geometric Deep Learning and Reinforcement Learning
-- Robustness
-- Generalization
-- Uncertainty
RESEARCH GRANTS
- Dynamic Representation and Transmission of Networked Video
Principal Investigator Natural Science Foundation of China
¥4,000,000 grants Jan. 2022-Dec. 2026
- Deep and Reinforcement Learning-based Immersive Video Transmission: Theory and Techniques
Principal Investigator Natural Science Foundation of China
¥3,100,000 grants Jan. 2020-Dec. 2024
- Spherical Convolutional Neural Network Based Adaptive Immersive Video Transmission
Principal Investigator Natural Science Foundation of China
¥610,000 grants Jan. 2020-Dec. 2023
- Resource Optimization on Video Streaming
Principal Investigator Natural Science Foundation of China
¥1,500,000 grants Jan. 2017-Dec. 2019
- Dynamic Optimization for Scalable Coding and Transmission of Multiple Visual Sources with Cooperative Game Theory
Principal Investigator Natural Science Foundation of China
¥820,000 grants Jan. 2014-Dec. 2018
- Distributed Sampling and Optimized Transmission of Wireless Video Sensor Networks
Principal Investigator Natural Science Foundation of China
¥750,000 grants Jan. 2013-Dec. 2016
- Compressive Sensing Based Wireless Video Cooperative Capture and Transmission
Principal Investigator Shanghai Science Foundation
¥250,000 grants Jan. 2011-Dec. 2013
- Multimedia Cooperative Communication in Wireless Sensor Networks
Principal Investigator Shanghai Rising-Star Program
¥150,000 grants Apr. 2011-Mar. 2013
- Optimal Scheduling and Source Adaptive Transmission for Scalable Video Streaming
Principal Investigator Natural Science Foundation of China
¥180,000 grants Jan. 2009-Dec. 2011
- Network-Based Distributed Coding and Transmission with Reusable Metadata of Video Signal
Co-Principal Investigator Ministry of Science and Technology
¥750,000 grants, shared credit: (40%) Dec. 2006-Oct. 2009
- On Lifetime Optimization for Wireless Multimedia Sensor Networks
Principal Investigator Shanghai Science Foundation
¥80,000 grants Sept. 2009-Aug. 2011
- Network Coding-Based Decentralized Content Distribution
Principal Investigator Shanghai Science Foundation
¥100,000 grants Sept. 2006-Aug. 2008
SELECTED JOURNAL PAPER
- Ziyang Zheng, Wenrui Dai, Duoduo Xue, Chenglin Li, Junni Zou, Hongkai Xiong, Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks, accepted by IEEE/ACM Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
- Lisha Wang, Chenglin Li, Wenrui Dai, Shaohui Li, Junni Zou, Hongkai Xiong, QoE-Driven Adaptive Streaming for Point Clouds, accepted by IEEE Transactions on Multimedia (TMM), 2022.
- Yuchen Zhang, Wenrui Dai, Yong Li, Chenglin Li, Junhui Hou, Junni Zou, Hongkai Xiong, Light Field Compression with Graph Learning and Dictionary-Guided Sparse Coding, accepted by IEEE Transactions on Multimedia (TMM), 2022.
- Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard, Graph Neural Networks With Lifting-based Adaptive Graph Wavelets, accepted by IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2021.
- Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Reversible Autoencoder: A CNN-based Nonlinear Lifting Scheme for Image Reconstruction, accepted by IEEE Transactions on Signal Processing (TSP), 2021.
- Nuowen Kan, Junni Zou, Chenglin Li, Wenrui Dai, Hongkai Xiong, RAPT360: Reinforcement Learning-Based Rate Adaptation for 360° Video Streaming with Adaptive Prediction and Tiling, accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
- K. Chen, W. Lin, J. Li, J. See, J. Wang, and Junni Zou, AP-Loss for Accurate One-Stage Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 43, no. 11, pp. 3782-3798, Nov. 2021.
- Kexin Tang, Nuowen Kan, Junni Zou, Chenglin Li, Xiao Fu, Mingyi Hong, Hongkai Xiong, Multi-user Adaptive Video Delivery over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 2, pp. 798-815, Feb. 2021.
- Qi wang, Ying Cui, Sian Jin, Junni Zou, Chenglin Li, Hongkai Xiong, Optimization-based Decentralized Coded Caching for Files and Caches with Arbitrary Sizes, IEEE Transactions on Communications (TCOM), vol. 68, no. 4, pp. 2090-2105, Apr. 2020.
- 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, IEEE Journal of Selected Topics in Signal Processing (JSTSP), vol. 14, no. 1, pp. 161-176, Jan. 2020.
- Yuhui Xu, Wenrui Dai, Yingyong Qi, Junni Zou, Hongkai Xiong, Iterative Deep Neural Network Quantization with Lipschitz Constraint, IEEE Transactions on Multimedia (TMM), vol. 22, no. 7, pp. 1874-1888, Jul. 2020.
- Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Y. F. Zheng, Scalable Structured Compressive Video Sampling with Hierarchical Subspace Learning, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 10, pp. 3528-3543, Oct. 2020.
- 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 (JSAC), vol. 37, no.7, pp. 1566-1583, July 2019.
- Xiaofeng Gao, Ailun Song, Luoyao Hao, Junni Zou, Guihai Chen, Shaojie Tang, Towards Efficient Multi-Channel Data Broadcast for Multimedia Streams, IEEE Transactions Parallel and Distributed Systems (TPDS), vol. 30, no.10, pp. 2370-2383, October 2019.
- 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 (TCYB), vol. 49, no.11, pp. 3873-3886, November 2019.
- 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 (TCSVT), vol. 28, no. 7, pp. 1648-1664, July 2018.
- Wenrui Dai, Yong Li, Junni Zou, Hongkai Xiong, Y. F. Zheng, Fully Decomposable Compressive Sampling with Joint Optimization for Multidimensional Sparse Representation, IEEE Transactions on Signal Processing (TSP), vol. 66, no. 3, pp. 603-616, February 2018.
- Chenglin Li, Laura Toni, Junni Zou, Hongkai Xiong, Pascal Frossard, QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming, IEEE Transactions on Multimedia (TMM), vol. 20, no. 4, pp. 965-984, April 2018.
- Chenglin Li, Hongkai Xiong, Junni Zou, D. Wu, Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast over Wireless Networks, IEEE Transactions on Multimedia (TMM), vol. 20, no. 2, pp. 361-378, February 2018.
- Yong Li, Wenrui Dai, Junni Zou, Hongkai Xiong, and 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 (TSP), vol. 65, no. 19, pp. 5062-5077, Oct. 2017.
- Wenrui Dai, Yangmei Shen, Xin Tang, Junni Zou, Hongkai Xiong, and C. W. Chen, Sparse Representation with Spatio-Temporal Online Dictionary Learning for Efficient Video Coding, IEEE Transactions on Image Processing (TIP), vol. 25, no. 10, pp. 4580-4595, Oct. 2016.
- Junni Zou, Qiong Wu, Hongkai Xiong, and C. W. Chen, Dynamic Spectrum Access and Power Allocation for Cooperative Cognitive Radio Networks, IEEE Transactions on Signal Processing (TSP), vol. 63, no. 21, pp. 5637-5649, Nov. 2015.
- Junni Zou, Qiong Wu, Hongkai Xiong, and C. W. Chen, Joint Spectrum and Power Auction with Multiauctioneer and Multibidder in Coded Cooperative Cognitive Radio Networks, IEEE Transactions on Wireless Communications (TWC), vol. 13, no. 10, pp. 5768-5780, Oct. 2014.
- Junni Zou, Hongkai Xiong, Dawei Wang, and C. W. Chen, Optimal Power Allocation for Hybrid Overlay/Underlay Spectrum Sharing in Multiband Cognitive Radio Networks, IEEE Transactions on Vehicular Technology (TVT), vol. 62, no. 4, pp. 1827-1837, May 2013.
- Junni Zou, Hongkai Xiong, Chenglin Li, Zhihai 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 (TVT), vol. 60, no. 3, pp. 1182-1194, Mar. 2011.
- Junni Zou, Hongkai Xiong, Chenglin Li, and 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 (TCSVT), vol. 21, no. 3, pp. 259-273, Mar. 2011.
SELECTED CONFERENCE PAPER
- Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV'2021), Virtual, Oct. 11-17, 2021.
- Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Monotonic Robust Policy Optimization with Model Discrepancy, International Conference on Machine Learning (ICML'2021), Virtual, July 18-24, 2021.
- Nuowen Kan, Chenglin Li, Caiyi Yang, Wenrui Dai, Junni Zou, Hongkai Xiong, Uncertainty-Aware Robust Adaptive Video Streaming with Bayesian Neural Network and Model Predictive Control, ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV'2021), Virtual, Sept. 2021.
- Lisha Wang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, QOE-Driven and Tile-Based Adaptive Streaming for Point Clouds, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'2021), Virtual, June 6-11, 2021.
- Haoran Lv, Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, SalGCN: Saliency Prediction for 360-Degree Images Based on Spherical Graph Convolutional Networks, ACM International Conference on Multimedia (ACMM'2020), Virtual, Oct. 12-16, 2020.
- Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search, International Joint Conference on Artificial Intelligence (IJCAI'2020), Virtual, July 11-17, 2020.
- Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong, Rotation Equivariant Graph Convolutional Network for Spherical Image Classification, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'2020), Virtual, June 16-18, 2020.
- 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), Hawaii, USA, Dec. 9-13, 2019.
- Kean Chen, Weiyao Lin, Jianguo Li, John See, Ji Wang, Lingyu Duan, Zhibo Chen, Changwei He, and Junni Zou, Towards Accurate One-Stage Object Detection with AP-Loss, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'2019), California, USA, June 16-20, 2019.
