James Dong (董震)

Personal Profile

• A mathematics Major, mathematics Educator, and mathematics Practitioner with a profound passion for mathematics. I run the WeChat official account “James数学”.

• Former Crypto Quantitative Researcher and Fund Manager, with live trading performance of self-developed strategies.

• Hold a Doctoral Degree in Computer Science and Technology (AI Track), as well as FRM and CQF certifications.

• I own an interdisciplinary professional background, with strong practical capabilities and excellent verbal & written communication skills.

Biography

Education Experience

I received my Bachelor's and Ph.D. degrees at the School of Computer Science, Beijing Institute of Technology (BIT), in 2011 and 2017, under the supervision of Professor Yunde Jia and Mingtao Pei.

Work Experience

Since 2017, I have successively worked at China Central Depository & Clearing Co., Ltd. (CCDC, 中央国债登记结算有限责任公司), the Financial Basic Data Center of the People’s Bank of China (PBC, 中央人民银行), and Beijing CyberX Information Technology Co., Ltd.

Research Interests

Quantative Financial: CTA Strategy, Arbitrage Strategy, Financial Risk Management

Machine Learning: Deep Learning, Neural Network, Sparse Coding & Dictionary Learning

Computer Vision: Face recognition and retrieval, Vehicle type classification, Image classification

Selected Publications

(For a complete list, please see my Google Scholar page. )

1. Jingyi Hou, Zhen Dong, Jiayu Zhou, et al. Discovering predictable latent factors for time series forecasting. IEEE Transactions on Knowledge and Data Engineering (T-KDE), 2023, 36(10): 5106-5119.

2. Chenchen Jing, Zhen Dong, Mingtao Pei, Yunde Jia. Heterogeneous Hashing Network for Face Retrieval across Image and Video Domains. IEEE Transactions on Multimedia (T-MM), 2018.

3. Zhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu. Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition. AAAI Conference on Artificial Intelligence (AAAI), 2017. [project page]

4. Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei. Face Video Retrieval via Deep Learning of Binary Hash Representations. AAAI Conference on Artificial Intelligence (AAAI), 2016. [project page]

5. Zhen Dong, Chenchen Jing, Mingtao Pei, Yunde Jia. Deep CNN based binary hash video representations for face retrieval. Pattern Recognition (PR), 2018, 81: 357-369.  

6. Zhen Dong, Mingtao Pei, Yunde Jia. Orthonormal Dictionary Learning and its Application to Face Recognition. Image and Vision Computing (IVC), 2016, 51:13-21.

7. Zhen Dong, Wei Liang, Yuwei Wu, Mingtao Pei, Yunde Jia. Nonnegative Correlation Coding for Image Classification. Science China Information Sciences (SC-IS), 2016, 59(1): 1-14.

8. Zhen Dong, Yuwei Wu, Mingtao Pei, Yunde Jia. Vehicle Type Classification Using a Semisupervised Convolutional Neural Network. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2015, 16(4):2247~2256. [project page]

9. Zhen Dong, Mingtao Pei, Xinxiao Wu, and Yunde Jia. Middle-Level Features for Vehicle Classification from Frontal View Images. Transactions on Beijing Institute of Technology, 2013. (Accepted, in Chinese)

10. Zhen Dong, Mingtao Pei, Yunde Jia. Discriminative Orthonormal Dictionary Learning for Fast Low-rank Representation. International Conference on Neural Information Processing (ICONIP), 2015.

11. Zhen Dong, Mingtao Pei, Yang He, Ting Liu, Yanmei Dong, Yunde Jia. Vehicle Type Classification Using Unsupervised Convolutional Neural Network. 22nd IEEE International Conference on Pattern Recognition (ICPR), 172~177, 2014. (oral presentation)

12. Zhen Dong, Yunde Jia. Vehicle Type Classification Using Distributions of Structural and Appearance-Based Features. 20th IEEE International Conference on Image Processing (ICIP), 4321-4324, 2013.

13. Zhen Dong, Yu Kong, Cuiwei Liu, Hongdong Li, Yunde Jia. Recognizing Human Interaction by Multiple Features. First Asian Conference on Pattern Recognition (ACPR), 77-81, 2011.