Google Scholar Twitter jinzhen.wang [at] brooklyn.cuny.edu Ingersoll Hall 2118B, Brooklyln College
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I'm an Assistant Professor in the Department of Computer and Information Science at City University of New York - Brooklyn College. I received my Ph.D. from the New Jersey Institute of Technology, advised by Professor Qing Liu in 2023, M.S. in Electrical Engineering at New Jersey Institute of Technology in 2017 and B.S. in the Internet of Things engineering at Shandong University in 2015. I participated the Data Science at Scale School in the summer of 2022, and then worked in the Information Science Group (CCS-3) under the Computer, Computational, and Statistical Sciences Division of Los Alamos National Laboratory (LANL) as a graduate research intern from September 2022 to May 2023. My most recent CV can be found HERE (updated on 10/2023). |
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Recent News
| [09/2023] I will serve as a TPC member of the 2024 SIAM International Conference on Data Mining (SDM’24). |
| [09/2023] I will serve as a TPC member of CCGrid'24. Consider submit your work here. |
| [08/2023] I am joining City University of New York - Brooklyn College as an Assistant Professor in Fall 2023. |
| [03/2023] Our paper "zPerf: A Statistical Gray-box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression" is accpeted to appear in IEEE Transaction on Computers. |
| [02/2023] Our paper "Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network" is accepted to appear in ICDE'23. |
| [09/2022] Our paper "Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data" is accpeted in DRBSD-8 [SC'22]. |
| [05/2022] I am joining Los Alamos National Laboratory as a summer intern. |
| [08/2019] Our paper "Compression ratio modeling and estimation across error bounds for lossy compression" is accpeted to appear in IEEE Transactions on Parallel and Distributed Systems. |
| [05/2019] I am presenting our work at IPDPS'19. |
Selected publications (See full list here)
| [IEEE TC] zPerf: A Statistical Gray-box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression Jinzhen Wang, Qi Chen, Tong Liu, Qing Liu, Xubin He IEEE Transactions on Computers, 2023 |
| [ICDE'23] Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu 2023 IEEE 39th international conference on data engineering (ICDE) |
| [DRBSD'22] Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data Jinzhen Wang, Pascal Grosset, Terece L Turton, James Ahrens In proceedings of 2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD) |
| [IEEE TBD] High-ratio lossy compression: Exploring the autoencoder to compress scientific data Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He IEEE Transactions on Big Data, 2021 |
| [IEEE TPDS] Compression Ratio Modeling and Estimation Across Error Bounds for Lossy Compression Jinzhen Wang, Tong Liu, Qing Liu, Xubin He, Huizhang Luo, Weiming He IEEE Transactions on Parallel and Distributed Systems, 2019 |
Teaching experience
| ✢ CISC3310 - Principles of Computer Architecture | Spring 2024 |
| ✢ CISC1050 - Introduction to Computer Applications | Fall 2023, Spring 2024 |
| ✢ ECE394 - Digital Systems Lab | Spring 2019 |
| ✢ ECE394 - Digital Systems Lab | Fall 2018 |
Award and Honors
| ✢ ICDE'23 student travel award |
| ✢ IPDPS'19 student travel award |