Jinzhu Gao

Jinzhu Gao

Professor
Stockton
Office:
Chambers 123
Email Address:
jgao@pacific.edu
Phone Number:
209.946.3037
Education

PhD, Computer and Information Science, Ohio State University, 2004

MS, Mechanical Engineering, Huazhong University of Science and Technology, 1998

BS, Computer Science and Engineering, Huazhong University of Science and Technology, 1995

Teaching Interests
  • Data Science

  • Web Applications
  • Parallel Computing
  • 
Operating Systems
  • Design and Analysis of Algorithms
Research Focus
  • Data Science

  • AI in Healthcare
  • Parallel and Distributed Computing

 

SELECTED PUBLICATIONS

Punam Ram Pukale, Kushal Sri Rangam, Shounak Palnitkar Jitendra, Dongbin Lee, Jinzhu Gao, “An Intelligent IoT Navigation System for Visually Impaired Individuals: Design and Implementation”, 2025 IEEE World AI IoT Congress, May 28-30, 2025.

Ritu Ramakrishnan, Tianxiang Xing, Tianfeng Chen, MingHao Lee, Jinzhu Gao, “Application of AI in Nutrition”, Journal of Advances in Information Science and Technology, Vol. 1 (2023):   7-12.

Weipeng Cao, Lei Hu, Jinzhu Gao, Xizhao Wang, Zhong Ming, "A Study on the Relationship between the Rank of Input Data and the Performance of Random Weight Neural Network", Neurocomputing and Applications, January 22, 2020. 

Vivek  Pallipuram and Jinzhu Gao, “The Realm of Graphical Processing Unit (GPU)”, Topics in Parallel and Distributed Computing: Introducing Concurrency in Undergraduate Courses (2nd Volume), September 2018.

Weipeng Cao, Xizhao Wang, Zhong Ming, and Jinzhu Gao, "A review on neural networks with random weights", Neurocomputing, Vol. 275 (2018): 278-287.

Weipeng Cao, Jinzhu Gao, Zhong Ming, Shubin Cai, and Zhiguang Shan, “Fuzziness based Online Sequential Extreme Learning Machine for Classification Problems”, Soft Computing, 2018.

Ning Liu, Dengming Zhu, Zhaoqi Wang, Hong Qin, Jianfeng Zhan, and Jinzhu Gao, “Pipelining Image Compositing in Heterogeneous Networking Environments”, Computer Animation and Virtual Worlds, May 2016.

Jinzhu Gao, Logan Herche, Zeshawn Shaheen, Michael Morelli, Dehui Qiu, “Use of Stereoscopic Virtual Reality for Online Atmospheric Nucleation Research and Education”, International Journal of Engineering and Technical Research (IJETR), Vol. 3, No. 9, September 2015.

Daying Lu, Dengming Zhu, Zhaoqi Wang, and Jinzhu Gao, “Efficient Level of Detail for Texture-Based Flow Visualization”, Computer Animation and Virtual Worlds，May 2015. 


Huadong Liu, Jinzhu Gao, Jian Huang, Micah Beck, Terry Moore. “On-Demand Visualization on Scalable Shared Infrastructure”. Data Intensive Distributed Computing: Challenges and Solutions for Large-Scale Information Management, Tevfik Kosar (editor), IGI Global Publishers, ISBN: 978-1-61520-971-2, January 2012.

Qishi Wu and Jinzhu Gao, “Design of scalable parallel algorithms for large-scale data analysis and visualization”, Cluster Computing and Multi-Hop Network Research, Ciceron Jimenez and Maurice Ortego (editors), Nova Science Publishers, Inc. Hauppauge, New York, ISBN: 978-1-60876-186-9, 2010.

Qishi Wu, Jinzhu Gao, Zizhong Chen, and Mengxia Zhu. “Optimized Parallel Image Compositing and Remote Delivery with Linear Pipelining and Adaptive Transport”. Journal of Parallel and Distributed Computing, Vol. 69, No. 3, pages 230-238, 2009.


Qishi Wu, Jinzhu Gao, Mengxia Zhu, Nageswara Rao, Jian Huang and S. Sitharama Iyengar, "Self-Adaptive Configuration of Visualization Pipeline over Wide-Area Networks", IEEE Transactions on Computers, Vol. 57, No. 1, 2008.

Robert Sisneros, Chad Jones, Jian Huang, Jinzhu Gao, Byung-Hoon Park and Nagiza Samatova. "A Multi-Level Cache Model for Run-Time Optimization of Remote Visualization", IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 5, pages 991-1003, 2007.

Jian Huang, Huadong Liu, Micah Beck, Andrew Gaston, Jinzhu Gao, and Terry Moore. "Visualization Viewpoints: Dynamic Sharing of Large-Scale Visualization", IEEE Computer Graphics and Visualization, Vol. 27, No. 1, 2007.

Sean Ahern, Jamison R. Daniel, Jinzhu Gao, George Ostrouchov, Ross J. Toedte, and Chaoli Wang, "Multi-Scale Data Visualization for Computational Astrophysics and Climate Dynamics", Journal of Physics: Conference Series 46 (SciDAC06), pp. 550-555, Denver, Colorado, June 2006.

Jian Huang, Huadong Liu, Micah Beck, Jinzhu Gao and Terry Moore, "A Distributed Execution Environment for Large Data Visualization", Journal of Physics: Conference Series 46 (SciDAC06), pp. 570-576, 2006,  Denver, Colorado, June 2006.

Markus Glatter, Colin Mollenhour, Jian Huang and Jinzhu Gao. "Scalable Data Servers for Large Multivariate Volume Visualization", IEEE Visualization 2006, Baltimore, MD, October 2006. Published in IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 5, pages 1291-1298, 2006.

Xiaohui Cui, Jinzhu Gao, and Thomas E. Potok, "A Flocking Based Algorithm for Document Clustering Analysis", Journal of System Architecture (2006 Special Issue on Nature Inspired Systems), Vol. 52, No. 8-9, pages 505-515, 2006.

Jinzhu Gao, Jian Huang, Han-Wei Shen, and Jim Kohl. “Visibility Culling for Time-Varying Volume Rendering Using Temporal Occlusion Coherence”, IEEE Visualization 2004, Austin, Texas, USA, October 2004.

Jinzhu Gao, Jian Huang, Han-Wei Shen, and Jim Kohl. “Visibility Culling Using Plenoptic Opacity Functions for Large Data Visualization”, IEEE Visualization 2003, pp. 341-348, Seattle, Washington, USA. October 2003.