Stanford M.S. in Computer Science
Developed DeepSNAP, a Python library assists deep learning on graphs, at Stanford Network Analysis Project (SNAP) group.
Built the modules including graph manipulation, graph dataset, dataset transformation, splitting, and graph neural network layers.
Benchmarked performance by conducting various graph tasks such as node classification, link prediction, and graph classification.
Course assistant of University of Illinois at Urbana-Champaign CS446 (Machine Learning).
Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng ZhangZecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang and Tarek Abdelzaher. paper2repo: GitHub Repository Recommendation for Academic Papers paper2repo: GitHub Repository Recommendation for Academic Papers . To appear in the Web Conference 2020 (WWW 2020).
Zecheng ZhangZecheng Zhang, Xiaoxiao Wu, Naijing Zhang, Siyuan Zhang and Edgar Solomonik. Enabling Distributed-Memory Tensor Completion in Python using New Sparse Tensor KernelsEnabling Distributed-Memory Tensor Completion in Python using New Sparse Tensor Kernels. (arXiv).
Yuxin Xiao*, Zecheng ZhangZecheng Zhang*, Carl Yang and Chengxiang Zhai. Non-local Attention Learning on Large Heterogeneous Information Networks Non-local Attention Learning on Large Heterogeneous Information Networks. In the 2019 IEEE International Conference on Big Data (BigData 2019).
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I am not traveling much in recent years since majoring in computer science ; )
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zecheng At stanford.edu