Zhangzhi Peng 彭张智 Ph.D. Student [CV] Email: pengzhangzhics @gmail · com

About Me

Hello there! I'm a first-year Ph.D. in Computer Science at the University of Missouri, USA, under the guidance of Dr. Jianlin (Jack) Cheng. My academic journey began at ECJTU, where I completed my undergraduate studies in Computer Science.

I never lose; I either win or learn. Based on my CV of failures, I have learned a lot 😅.

If my life were a journey, its destination would be the discovery of science. If science were a journey, then its destination would be the discovery of simple solutions to complex problems.

Research Interests:

• Generative Models.
• Machine learning for Biology (e.g., proteins).

Publications

*-Equal Contribution

Reproducibility and reliability hold great significance in my work, and I make it a priority to ensure each of my first-author publications is accompanied by a GitHub repository.

	Accurate Prediction of Antibody Function and Structure Using Bio-Inspired Antibody Language Model Hongtai Jing, Zhengtao Gao, Sheng Xu, Tao Shen, Zhangzhi Peng, Shwai He, Tao You, Shuang Ye, Wei Lin, Siqi Sun [preprint]
	E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction Tao Shen*, Zhihang Hu*, Zhangzhi Peng*, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li submitted to Nature Methods [preprint]
	Spatial-temporal Transformer Network with Self-supervised Learning for Traffic Flow Prediction Zhangzhi Peng, Xiaohui Huang. IJCAI-ECAI STRL Workshop (Spatial-Temporal Reasoning and Learning), 2022 [paper] [code] [video] [Presentation]

Misc

• My CS Education. Check here.

• I like basketball, boxing, swimming, running, and badminton. I am also willing to learn new sports. :)