Ruochi Zhang


  • University of Pittsburgh, US.
    • Sep. 2018 - Present
    • M.S in Information Science
    • Cumulative GPA: 3.92/4.0
  • Jilin University, China.
    • Bachelor in Computer Science and Technology
    • Sep, 2014 - Jun, 2018

Publications (* means co-first authors)

  • Ruochi Zhang, Ruixue Zhao, Fengfeng Zhou. pyHIVE, a Health-related Image Visualization and Engineering system using Python. _BMC Bioinformatics_, Nov. 2018 Download here
  • Ruixue Zhao*, Ruochi Zhang*, Fengfeng Zhou. TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis. _Computers in Biology and Medicine_, Aug. 2018’ Download here
  • Fengxin, Ruochi Zhang, Fengfeng Zhou. An accurate regression of developmental stages for breast cancer based on transcriptomic biomarkers. Biomarkers in Medicine, Oct. 2018 Download here
  • Yuting Ye*, Ruochi Zhang*, Weiwei Zheng, Shuai Liu & Fengfeng Zhou. RIFS: A Randomly Restarted Incremental Feature Selection Algorithm. _Scientific Reports_ 2045-2322, Sept. 2017 Download here
  • Ruiquan Ge*, Guoqin Mai*, Ruochi Zhang*, Xundong Wu, Qing Wu, Fengfeng Zhou. MUSTv2: An Improved De Novo Detection Program for Recently Active Miniature Inverted Repeat Transposable Elements (MITEs). _Journal of Integrative Bioinformatics_, May 2017 Download here

Work Experience

Intel. Shanghai, May 2019 - Aug 2019

  • Deep Learning Software Engineer Intern , Big Data Tech Architecture
  • Participate in the design and implementation of large open source projects Analytics-Zoo Research and learning the structure of TensorFlow Serving
  • Design architecture of zoo-serving and implement it based on Spring and JSF.

Beijing XDstar Technology Co., Ltd. Beijing, Jan 2018 - Aug 2018

Machine learning algorithm engineer

  1. Bank transaction anomaly detection
    • keywords: Neo4j、Sequence model、Convolutional Neural Network、Graph deep Learning、Fraud detection.
  2. Log clustering and anomaly detection
    • keywords: Sampling、Clustring、Isolation forest、LSTM/GRU.
  3. Natural Language Processing Platform
    • keywords: Word2Vec、Seq2Seq and Attention、Contextual Word Representations、Machine Translation、 Transfer Learning.

Shanghai Institute of Life Sciences. Shanghai, Apr 2017 - Oct 2017

Algorithm Research Assistant Shanghai

  1. Design dynamic network biomarker algorithms and single-sample dynamic network algorithms;
  2. Introduce parallelism to reduce the computation time of the algorithm to 10 percent of the original time on a 28-core Linux computer. GitHub address: https://github.com/zhangruochi/DNB



  • 专利号:2019106169425
    本发明的实施方式提供了一种交易数据的异常检测方法、介质、装置和计算设备。该方法包括: 基于预先获得的交易数据生成知识图谱;知识图谱的节点用于表示交易数据中的账户实体,两个节点之间的边用于表示两个节点分别对应的账户实体之间的交易关系;利用图神经网络对知识图谱进行图深度学习,得到知识图谱中每条边的特征表示,并将边的特征表示确定为边对应的交易数据的特征向量;将预先确定的待检测交易数据的特征向量输入利用交易数据的特征向量训练得到的神经网络模型,经过神经网络模型的处理后,输出待检测交易数据的检测结果。



  • Professional Emphasis: Data Mining, Machine Learning, Deep Learning, Data Analysis Language: Python, Ruby, Java, C, Matlab, R, JavaScript, Shell
  • Framework: NumPy, Pandas, Scikit-Learn, MXNet, Keras, NetworkX, Matplotlib Database: MySql, Neo4j, ElasticSearch
  • Coursera Certificate: https://github.com/zhangruochi/Master-Computer-Science

Leave messages to me at here