Research

The lab research directions focus on: (1) High efficiency encoding and decoding of ULTRA HD video based on deep learning, (2) Neural network structure and loss function optimization, (3) Hypermedia communication, (4) Software and hardware co-optimization.

Current projects

This project investigates the high efficiency neural network based video codin algorithm and the corresponding VLSI chip architecture for ultra-high definition (UHD) video.

The project aims to explore learning-based adaptive content coding to improve compression performance and visual perception quality in special scenarios.

We are working on novel policy enforcementframework for hybrid mobile apps to enforce useful security and usage policies, specified by the developers and can be customized by the users.

We are developing generic policy frameworks for instrumentation and assurance of various types of execution policies for IoT services.

Recent publications

  • A Convolutional Transformation Network for Malware Classification , NICS'2019.
  • MyWebGuard: Toward a User-Oriented Tool for Security and Privacy Protection on the Web , FDSE'2019.
  • HIT4Mal: Hybrid image transformation for malware classification , ETT'2019.
  • A Security Policy Enforcement Framework for Controlling IoT Tenant Applications in the Edge , IoT'2018.
  • An Airfare Prediction Model for Developing Markets , ICOIN'2018.
  • HybridGuard: A Principal-based Permission and Fine-Grained Policy Enforcement Framework for Web-based Mobile Applications , MoST'2017.
  • P4SINC–An Execution Policy Framework for IoT Services in the Edge , ICIOT'2017.
  • A Reliable and Efficient Wireless Sensor Network System for Water Quality Monitoring , IE'2017.
  • Toward An IoT-based Expert System for Heart Disease Diagnosis , MAICS'2017.
  • DASSR: A Distributed Authentication Scheme for Secure Routing in Wireless Ad-hoc Networks , FDSE'2016.
  • (Best paper award!) Leveraging Static Analysis Tools for Improving Usability of Memory Error Sanitization Compilers , QRS'2016.
  • Between Worlds: Securing Mixed JavaScript/ActionScript Multi-party Web Content , TDSC'2015.
  • From Verification to Optimizations , VMCAI'2015.

Full list of publications on Google Scholar , DBLP , Scopus

People


Faculty

The lab was founded and directed by Dr. Yongsheng Liang (梁永生), Dr. Wei Liu (柳伟) and Dr. Fanyang Meng (孟凡阳). Dr. Yongsheng Liang is the professor and Ph.D. supervisor in Shenzhen University and Harbin Insitute of Technology, Shenzhen. See his homepage at http://faculty.hitsz.edu.cn/liangyongsheng.

Phu Phung

Postdoc

Dr. Fanyang Meng, Post Doc, Pengcheng Laboratory.
Dr. Shuangyan Yi, Post Doc, Pengcheng Laboratory.

Postgraduate Students

Huoxiang Yang, Ph.D. Student, 2017 - Present.
Jiaoyan Zhao, Ph.D. Student, 2018 - 2022,
Qiangqiang Sheng, Ph.D. Student, 2019 - Present,
Youneng Bao, Ph.D. Student, 2020 - Present,
Chao Li, Ph.D. Student, 2021 - Present,
Qingyu Mao, Ph.D. Student, 2021 - Present,
Wen Tan, Ph.D. Student, 2022 - Present,

External Students

Huu-Danh Pham, Master Student at VNUHCM - University of Information Technology, 2019-Present

Alumni

Rakesh S.V. Reddy, MSc Thesis Advisee and Gradudate Assisstant, 2018-2019, (Now Software Engineer at Pearson)
Bhaghyalakshmi Muthukumar, MSc student, research assistant, 2017-2018
Zhengying (Steven) Zhou, Undergrad student, CAS Dean's Summer Research Fellow, 2018
Steven Cap, Undergrad student, research assistant, Summer 2017 (Now Application Developer at K-Rise Systems, Inc.)
Tony Pierce, Undergrad student, CAS Dean's Summer Research Fellow, 2017
Vishal Panwar, MSc student, research assistant, 2016-2017 (Now Java Developer at Wells Fargo)
Divya Teja, MSc student, research assistant, 2015-2016 (Now Java Developer at CBTS - Kroger)
Javeen Dharma Raj, MSc student, teaching assistant, 2016-2017 (Now Business Intelligence Developer at PROMPT Analytics LLC)
Veda Dubey, MSc student, teaching assistant, 2015 (Now ServiceNow Scrum Master)

Past Visitors

Son Vu, Summer Research, 2019 (Undergraduate Student at Truman State University),

Open positions

Our department is recruiting about 5-6 Ph.D. students with full scholarship (tution waiver + monthly stipends). Application deadline will be in March 1st to start in the Fall semester. Contact Dr. Phu Phung if you are interested in doing Ph.D. in computer security at University of Dayton.

The lab is always looking for UD or external students to join our research projects. If you are interested in doing research on the lab's related topics, feel free to contact Dr. Phu Phung for further information. We are also welcome visitors from elsewhere to collaborate in our research activities. Funded research assistant positions will be announced when available.

Some photos of the lab's activities

In Shenzhen, Tanglang, Summer 2021
In Shenzhen, Jiaochangwei, Spring 2021
In Shenzhen, Xili University Town, Spring 2021
In Hangzhou, The West Lake, Spring 2021

Contact

Neural Image and Video Coding Lab

Zhixin Building N304
College of Electronics and Information Engineering
University of Shenzhen
3688 Nanhai Avenue
Shenzhen, Nanshan District
Email: liangys@hit.edu.cn

Copyright © Phu H. Phung 2015-2020. Latest Update: June 2020.