Tong CHEN(Tony CHEN) 陈潼

Pittsburgh, PA, US | Hangzhou, Zhejiang, China | Changchun, Jilin, China

tongc2 at andrew dot cmu dot edu ckctonychen at zju dot edu dot cn
chens943366483 at gmail dot com

+1 213-359-7735, +86 188-6715-5676


Bachelor of Computer Science & Technology
Chu Ko Chen Honors College, Zhejiang University

Hangzhou, China

Honors Mix Class/混合班 of 2019, graduated June 2019

  • GPA: 3.79/4.0
  • Proficient in C/C++, Python, MySQL; has experience for Linux, PyTorch, OpenGL and MIPS
  • Received several academic scholarships and Outstanding Thesis Award

Master of Computational Data Science
Language Technologies Institute, School of Computer Science, Carnegie Mellon University

Pittsburgh, PA

Class of 2019/2020, to finish program by May 2021


Information and Knowledge Discovery Lab, Viterbi School of Engineering
University of Southern California, Los Angeles, CA

Visiting Scholar                                                                                           Nov.2018 – Apr.2019

  • Under supervision by Assistant Professor Xiang Ren
  • Worked on knowledge graph completion with supervision from graph structures or text
  • Proved that text relation extraction and pattern mining helps in achieving better performance in knowledge graph completion tasks
  • Examined effects of temporal KG reasoning models on monographs (KGs with only 1 relation)
  • Submission to EMNLP 2019 has been accepted, and one to NeurIPS 2019 as co-authors pending review

Cambridge Vehicle Dynamics Consortium
University of Cambridge, Cambridge, UK

Research Intern                                                                                             Jul.2018 – Sept.2018

  • Under supervision by Professor David Cebon and Senior Research Fellow Xiaoxiang Na
  • Developed an implementation for conversion between coordinate systems, and elevation inference based on coordinates from the UK Ordnance Survey LIDAR database
  • Collected sensors and GPS data from real-world operating trucks, and compared data accuracy between elevation data retrieved from various sources
  • Achieved 50% more accuracy on weight and rolling factor inference based on force analysis and regression analysis formulas

Artificial Intelligence Lab, School of Computer Science
Zhejiang University, Hangzhou, China

  Research Intern                                                                                         Jan.2018 – Nov.2018

  • Under supervision by Professor Fei Wu of Zhejiang University
  • Optimized Beijing’s 3000-line, 10K-station transit network model to cut passenger daily commute time by adding and changing lines and station positions, based on the 600K-user real home-to-work data from Baidu Map and annual network changes as ground truth
  • Implemented Tensorforce and Q-Routing Reinforcement Learning algorithms, comparing it with Ant Colony Optimization, Genetic Algorithm and other optimization algorithms set out historically for this issue while not to this scale
  • Programs are under testing for effect comparisons


IBM Student Innovation Lab
Image Table Recognition & Content Extraction Team

Joint Researcher                                                                                         Dec.2017 – Apr.2018

  • Recognized formulated tables such as tickets, tax invoices, etc., into formalized data interface for data analysis and registry usages
  • Detected tables based on OpenCV, and used Recursive Neural Network with CTC as an end-to-end OCR device in assisting the process
  • Achieved considerable accuracy on random pictures, e.g. tabled receipts and score lists, collected from the Internet
  • Was Awarded Outstanding Performer by IBM GCG University Partnership

Zhejiang University Model United Nations Association
Delegate Management System

Developer, Maintainer                                                                               Jan.2017 – Oct.2017

  • Wrote the demand document according to delegation recruitment routines of general Model United Nations conferences
  • Conducted feature upgrading including a new user interface and temporary feature adjustments, and performed online implementation after server migration, debugging, and normalization to ensure future reuse and better user experience
  • Fulfilled 800 registered delegates’ academic, authentication, payment and business needs

The Mathematic Contest in Modeling, 2017 
Consortium for Mathematics and its Applications

Contestant                                                                                                         Jan.2017

  • Collected usable precipitation and river hydrology data from open sources of Zambezi River Basin
  • Used C++ to implement a flow simulation program, based on the basin water flow model using basic hydrological principles
  • Used Matlab to generate annual flow and precipitation expectations based on monthly average and extreme data
  • Received Meritorius Winner Award


  1. B Liao, J Zhang, C Wu, D McIlwarith, T Chen, F Wu. “Deep Sequence Learning with Auxiliary Information for Traffic Prediction,” KDD 2018 Accepted. 
  2. C Fu, T Chen, M Qu, W Jin, X Ren. “Collaborative Policy Learning for Open Knowledge Graph Reasoning“. EMNLP-IJCNLP 2019 Accepted.


Zhejiang University Model United Nations Association

Deputy Chairman                                                                                      Nov.2016 – Nov.2017

  • Was in charge of general affairs and planning of the whole 30-people school club
  • Worked as Conference Affairs Manager in organization of China National Model Nations Conference 2017, supervising all conference affairs and schedule of this 600-attendee national-wide conference
  • Ran and maintained conference information for the club website based on WordPress


Executive Board Member                                                                      Mar.2018 – Now

  • Gave advice on visual and web design
  • Gave opinions on operation of this non-profit organization
  • Designed structure of their developing delegate management and conference promotion system