B.S. in Physiology and Biophysics, Peking (Beijing) 九九福利网, 1997
CSC 2730: Data Science and Analytics
CSC 4700: Applied Deep Learning
CSC 7343: Deep Learning Systems
Machine Learning and Applications
Big Data
Guo, H., Peng, L., Zhang, J., Qi, F., & Duan, L. (2019, October). Hardware accelerator
for adversarial attacks on deep learning neural networks. In 2019 Tenth International
Green and Sustainable Computing Conference (IGSC) (pp. 1-8). IEEE.
Shams, S., Platania, R., Zhang, J., Kim, J., Lee, K., & Park, S. J. (2018). Deep generative
breast cancer screening and diagnosis. In Medical Image Computing and Computer Assisted
Intervention鈥揗ICCAI 2018: 21st International Conference, Granada, Spain, September
16-20, 2018, Proceedings, Part II 11 (pp. 859-867). Springer International Publishing.
Sun, M., Li, F., & Zhang, J. A multi-modality deep network for cold-start recommendation.
Big Data Cogn. Comput. 2 (1), 7 (2018).
Nix, R., & Zhang, J. (2017, May). Classification of Android apps and malware using
deep neural networks. In 2017 International joint conference on neural networks (IJCNN)
(pp. 1871-1878). IEEE.
Shakya, S., Zhang, J., & Karki, B. (2016). ToPoMine: A graph miner for analysis of
atom-dynamics simulation data in material science. Intelligent Data Analysis, 20(5),
1181-1198.
Shakya, S. S., Karki, B. B., & Zhang, J. (2014). Analyzing molecular dynamics scattered
data for large atomic movements. Computational materials science, 95, 198-206.
Zhang, J. (2011, December). Deep transfer learning via restricted boltzmann machine
for document classification. In 2011 10th International Conference on Machine Learning
and Applications and Workshops (Vol. 1, pp. 323-326). IEEE.
Jiang, L., Zhang, J., & Allen, G. (2010, July). Transferred correlation learning:
An incremental scheme for neural network ensembles. In The 2010 international joint
conference on neural networks (IJCNN) (pp. 1-8). IEEE.
Zhang, J., Porras, P., & Ullrich, J. (2010). Gaussian process learning for cyber鈥恆ttack
early warning. Statistical Analysis and Data Mining: The ASA Data Science Journal,
3(1), 56-68.
Feigenbaum, J., Kannan, S., McGregor, A., Suri, S., & Zhang, J. (2005, January). Graph
distances in the streaming model: the value of space. In SODA (Vol. 5, pp. 745-754).
2019: Best Paper Award, IEEE International Green and Sustainable Computing Conference
2008: Best Paper Award, 17th USENIX Security Conference
2025: Source: LSU Foundation, Title: Real-Time Intraoperative Mapping of Tumor Margins
During Resection of Pancreatic Adenocarcinoma Using Artificial Intelligence Enabled
Raman Spectroscopy, PI: Jian Zhang, $250,000.
202-2026: Source: ONR/Integer, Title: Intelligent Data Management for Distributed
Naval Platforms, Co-PI: Jian Zhang, Total Amount: $5,041,697, Share: $756,254.55.
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