Vice Dean, Zhiyuan College
Yangtze River Scholar Distinguished Professor
NSF Distinguished Young Scholar
Distinghuished Professor, Department of Electronic Engineering & Department of Computer Science and Engineering
Office: Room 309, SEIEE Building No.1
Email: xionghongkai@sjtu.edu.cn
Professor and PhD advisor
Dept. of Computer Science and Engineering
Office: Room 437, SEIEE Building No.3
Email: zou-jn@cs.sjtu.edu.cn
Professor
Email: wylin@sjtu.edu.cn
Associate Professor
Research interests: Intelligent information
processing and hardware acceleration
Associate Professor
Research interests: Learning-based video coding and modeling
Professor
E-mail: gqhe@sjtu.edu.cn
Homepage: http://qnp.sjtu.edu.cn/
Assistant Professor
Research Interests: signal processing, photonic computing, machine learning
IEEE Fellow. Professor and Chairman of Electrical Engineering in Ohio State University
IEEE Fellow. Professor of Department of Electrical & Computer Engineering. Editor-in-chief of IEEE Transactions on Network Science and Engineering
IEEE Fellow. He was a professor at the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU) and Cornell University. Former editor of IEEE Transactions on Multimedia
IEEE Fellow. Professor at the department of Electrical Engineering at UNSW.The main contributor to the international standard for JPEG2000 image coding
Research interests: Neural Network acceleration, 3-D object recognitio
Enrollment year: 2018
Research interests: Medical Image Analysis, Few-shot Learning
Enrollment year: 2018
Research interests: Reinforcement Learning
Enrollment year: 2018
Research interests: Point Cloud Processing and Sparse Representation
Enrollment year: 2019
Enrollment year: 2019
Research interests: point cloud transmission
Enrollment year: 2019
Research interests: Graph Neural Networks
Enrollment year: 2019
Research interests: Computer Vision
Enrollment year: 2019
Research interests: Federated Learning
Enrollment year: 2019
Research interests: neural network compression
Enrollment year: 2019
Enrollment year: 2019
Research interests: Tensor Network
Enrollment year: 2020
Research interests: Variational Bayes
Enrollment year: 2020
Research interests: Signal Processing
Enrollment year: 2020
Research interests: Phase retrieval
Enrollment year: 2020
Research interests: point cloud process ing，graph theory
Enrollment year: 2021
Research interests: Graph-based Video Streaming
Enrollment year: 2021
Research interests: casual inference, transformer, half-supervised lea
Enrollment year: 2021
Research interests: Computational Mathematics
Enrollment year: 2022
Research interests: Optical neural network
Enrollment year: 2022
Research interests: Neural Architecture Search
Enrollment year: 2022
Research interests: Learned Image Compression for Machine Perception
Enrollment year: 2022
Research interests: Variational Bayes
Enrollment year: 2022
Research interests: The principle and application of graph scattering
Enrollment year: 2023
Research interests: Learned Image and Video Compression, 3D Human Pose Estimation, Efficient Tuning
Enrollment year: 2023
Research interests: Compressive Sensing, Learning Representation
Enrollment year: 2023
Research interests: image processing
Enrollment year: 2023
Enrollment year: 2023
Enrollment year: 2023
Research interests: human pose estimation
Enrollment year: 2022
Research interests: Network Quantization
Enrollment year: 2022
Research interests: Meta Reinforcement Learning, Causal Inference
Enrollment year: 2022
Research interests: Deep reinforcement learning
Enrollment year: 2022
Research interests: Deep reinforcement learning
Enrollment year: 2022
Research interests: Optical neural network
Enrollment year: 2022
Research interests: parameter-efficient transfer learning
Enrollment year: 2023
Research interests: reinforcement learning
Enrollment year: 2023
Research interests: interpretable AI and machine learning
Enrollment year: 2023
Research interests: learnable geometric filters and geometric deep learning
Enrollment year: 2023
Research interests: Reinforcement Learning
Enrollment year: 2023
Research interests: Federated Learning
Enrollment year: 2023
Research interests: Optimization of end-end encoder and decoder
Enrollment year: 2023
Research interests: Communication network optimization based on artifi
Enrollment year: 2023
Alumni
2024
|
Yuehan Xiong Degree: Ph.D Research interests : Deep learning based representation |
Qi Wang Degree: Ph.D Research interests: Coded Caching, Optimization, Reinforcement Learning |
|
Ziyang Zheng Degree: Ph.D. Research interests : Inverse Problems via DNNs and Optimization Algorithm |
Nuowen Kan Degree: Ph.D. Research interests : Multimedia communication |
|
Yimian Fang Degree: M.S. Research interests : Network Quantization |
Wenxuan Gao Degree: M.S. Research interests : 360-Degree Video Coding, Spherical Optical Flow Estimation |
|
Wenxin Tian Degree: M.S. Research interests : Rate-Distortion Optimized Quantization
|
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2023
|
Qin Yang Degree: Ph.D Research interests : Immersive VR Vision |
Haohang Xu Degree: Ph.D Research interests: Federated Learning, Few-shot Learning |
|
Mingxing Xu Degree: Ph.D. Research interests : Graph Convolution Neural Network and Graph Signal |
Jiayi Xu Degree: M.S. Research interests : Spherical image convolution |
|
Xuanda Wang Degree: M.S. Research interests : Medical Image Segmentation |
Zhuoqun Liu Degree: M.S. Research interests : Neural Network Algorithm Approximation |
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Yuqi Li Degree: M.S. Research interests : point cloud
|
Yuang Deng Degree: M.S.
|
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Shuangrui Ding Degree: M.S. Research interests : Video Representation Learning |
Shiyu Liu Degree: M.S. Research interests: The principle and application of graph |
|
Suo Qiu Degree: M.S. Research interests : Biomedical Image, Computer Vision |
2022
|
Yuchen Zhang Degree: Ph.D Research interests : Light field and graphics |
Shaohui Li Degree: Ph.D Research interests: Scattering and neural networks |
|
Rulin Huang Degree: M.S. Research interests : 360 degree video |
Liming Guo Degree: M.S. Research interests :Medical image processing |
|
Liewen Liao Degree: M.S. Research interests : Graph Learning |
Jixiang Luo Degree: M.S. Research interests : image and video compression with deep learning |
|
Jiaqi Sun Degree: M.S. Research interests : convolutional sparse coding |
Zerui Yang Degree: M.S. Research interests : network acceleration |
|
Liang Yuan Degree: M.S. Research interests : Compressive Sensing |
2021
|
Yuhui Xu Degree: Ph.D Research interests : Efficient Deep Learning; Neural Architecture Search |
Xing Gao Degree: Ph.D Research interests: Representation learning of graph data and images. |
|
Yangmei Shen Degree: Ph.D Research interests: Sparse coding and representation |
Ruoyu Sun Degree: M.S. Research interests : Object detection and instance segmentation |
|
Chongxin Li Degree: M.S. Research interests : image compression |
Haoran Lv Degree: M.S. Research interests :Transmission and saliency detection in 360 degree video |
|
Shanghong Wang Degree: M.S. Research interests : Graph Neural Networks and their applications |
Hao Li Degree: M.S. Research interests : computer vision |
|
Yaoming Wang Degree: M.S. Research interests : Variational Bayes |
2020
|
Yukun Bao Degree: M.S. Research interests : CNN compression |
Chunmiao Liu Degree: M.S. Research interests : Algorithm Approximation using DNN |
|
Qiaoyu Lu Degree: M.S. Research interests : 360-degree video streaming |
Zhicheng Mao Research interests : Federated Learning Degree: M.S. |
|
Yongzhuang Wang Degree: M.S. Research interests : Image Captioning and Instance Segmentation |
Nuowen Kan Degree: M.S. Research interests: Multimedia communication |
|
Chen Zuo Degree: M.S. |
2019
|
Degree: Ph.D Thesis: Structured Sparse Representation based Compressive Video Sampling |
Yu Chen Degree: M.S. Research interests: Compressive sampling |
|
Dongchen Yu Degree: M.S. Research interests: Compressive sampling |
Hao Wu Degree: M.S. Research interests: Data mining. |
|
Shaohui Li Degree: M.S. Research interests: Scattering and neural networks |
2018
|
Han Cheng Degree: M.S. Thesis: Caching. |
Wenjing Fan Degree: M.S. Thesis: Data compression. |
2017
|
Degree: Ph.D Thesis: Local Features Understanding: Models and Applications. |
Can Xu Degree: M.S. Thesis: Revertible Deep Convolutional Networks. |
|
Saijie Ni Degree: M.S. Thesis: Multitask Learning in Deep Neural Network and Social Media.
|
2016
|
Botao Wang Degree: Ph.D Homepage: http://wangbotao.github.io/ Thesis: Structured Processing of High-Dimensional Visual Signals. |
Kuanyu Ju Degree: M.S. Thesis: Research on the Depth Propagation Algorithm for 2D-to-3D Conversion
|
2015
|
Chenglin Li Degree: Ph.D Thesis: Researches on Video Communication Techniques Based on Utility Optimization |
Zhihui Fu Degree: M.S. Thesis: Researches on Video Co-segmentation |
|
Xin Tang Degree: M.S. Thesis: High-Dimensional Data Compression based on Machine Learning Algorithm |
2014
|
Wenrui Dai Degree: Ph.D Thesis: Learning Structured Probabilistic Model for Heterogeneous Data Compression |
Hao Wang Degree: M.S. Thesis: The Data Fusion and Synthesis Algorithm for Multi-view Video Signal
|
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Pinghao Li Degree: M.S. Thesis: Research of Compression Algorithms on the Structure-aware Compressive Data |
2013
|
Xinwei Ye Degree: M.S. Thesis: Video Acquisition and Reconstruction based on Multi-dimension Compression Sensing |
Qingxiang Zhu Degree: M.S. Thesis: Object Segmentation and Tracking in Complex Scenario
|
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Hao Wu Degree: M.S. Thesis: Nonlinear filtering and warping (morphing) of video |
2012
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Yongsheng Zhang Degree: Ph.D Thesis: Spatio-temporal Consistency-Based Wyner-Ziv Video Coding Techniques and Applications |
Zhiming Pan Degree: M.S. Thesis: Super-Resolution Estimation via Sparse Spatio-Temporal Representation with Adaptive Regularized Dictionaries for Video Compression |
|
Dayu Zheng Degree: M.S. Thesis: Learning Based Image Structured Model Extraction and Tracking |
Jingtao Chen Degree: M.S.
|
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Jiangming Wu Degree: M.S.
|
2011
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Lingchen Zhu Degree: M.S. Thesis: Sparse video coding based on adaptive description of multiscale and orientational multiresolution |
Xu Yang Degree: M.S. Thesis: Advanced Sparse Video Compression based on Computer Vision |
2010
|
Zhe Yuan Degree: M.S. Thesis: Study on Texture Analysis-Synthesis based Video Compression |
Xiaofei Zhang Degree: M.S. Thesis: Conditional Random Field based Side Information Fusion for Distributed Multi-view Video Coding |
|
Yang Zhao Degree: M.S. Thesis: Tracking for High Dimensional Image Texture |
Chenlin Li Degree: M.S.
|
2009
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Hui Lv Degree: M.S. Thesis: Side Information Generation for Distributed Multi-view Video Coding |
Nannan Ma Degree: M.S. Thesis: Adaptive decomposition for edges and textures based on modeling and directional filtering |
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Degree: M.S.
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2008
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Wenrui Dai Degree: M.S. Thesis: On Non-sequential Context Modeling with Application to Executable Data Compression |
Kai Zhang Degree: M.S. Thesis: Content Based Medical Image Segmentation Algorithm |
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Lei Yang Degree: M.S. Thesis: Video Techniques based on Computer Graphics Algorithm |
2007
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Yang Li Degree: M.S. Thesis: Study on context-based reusable techniques for low bit-rate image transmission |
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2006
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Yihua Chen Degree: M.S. Thesis: Motion-compensated temporal filtering for scalable video coding |
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Copyright: Institute of Media,Information, and Network, 2021
Tel: 021-34205953
Email: xionghongkai@gmail.com
Address: SEIEE Building 1-304&309, Dept.of Electronic Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
Tongxin Li
