Chaoqi Yang (杨超琪) - Homepage

Chaoqi Yang  


Phone:  (+86) 158-2118-8556

School:  Shanghai Jiao Tong University (SJTU)

Address:  Minhang District, Shanghai, P.R.China

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Perfect yourself, push yourself to the limit and beyond.

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   [December 5th, 2018]  I get Top-10 Merit Student Award after the defense! [Img1][Img2]

   [November 15th, 2018]  I join in Tencent and will work with Researchers here for 6 months.

   [November 5th, 2018]  Our paper about Answer Selection has been submitted to WWW'18!

   [October 24th, 2018]  Get Rongchang Innovation Scholarship, ¥30,000 CNY. Cong!

   [October 21th, 2018]  Attend CIKM'18 in Turin, Italy. First oral presentation!

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I am currently a senior undergrad at School of Cyber Security in Shanghai Jiao Tong University. I work as a Student Researcher in Advanced Network Laboratory (ANL) at the Department of Computer Science, under the supervision of Associate Professor Dr. Gao Xiaofeng.

This Summer, I fortunately worked as a Research Intern with GCN in Community QA, in University of Illinois Urbana-Champaign (UIUC). My advisor is Dr. Hari Sundaram.

Recently, I join Tencent Social Ads in Beijing Division to do research, on Reinforcement Learning in Real-time Bidding, until next year before my graduation.

* This year, I will apply for 2019 Fall CS Ph.D. Programs on Data Mining and Machine Learning, especailly those interdisciplinary, such as Social Networks, Advertising and Multimedia.

Shanghai Jiao Tong University (SJTU), Shanghai, China

Major:  B.Eng., Information Security, at School of Cyber Security

Major GPA:  91.08/100 (3.86/4.00)

Status:  Undergradate, Sept. 2015 - June 2019 (Expected)

University of Illinois at Urbana-Champaign (UIUC), Illinois, USA

Project:  UserCredibility - Community Question Answering (GCN)

Advisor:  Dr. Hari Sundaram, Associate Professor in UIUC

Partner:  Kanika Narang & Adit Krishnan, PhD Student in UIUC

Status:  Research Intern, July 2018 - Oct. 2018

Tencent, Beijing, China

Project:  Reinforcement Learning in Real-time Bidding

Status:  Undergraduate Researcher, Nov. 2018 - June 2019 (Expected)

Scholars & Awards

Scholarship Awards

  • Merit Student of Shanghai Jiao Tong University 2016 & 2017 & 2018
  • Top-10 Merit Student (Awarded to top 10 students in SJTU) 2018
  • Rong Chang Innovation Scholarship (Awarded to top 20 student researchers in SJTU) 2017
  • Huawei Scholarship 2017
  • Kwang-Hua Scholarship 2016

  • Competition Awards

  • 1st Prize, Mathematics Contest in Modeling (MCM) 2018
  • 2nd Prize, China Undergraduate Mathematical Contest in Modeling (CUMCM) 2017
  • 2nd Prize, Chinese Mathematics Competitions (CMC) 2016
  • 3rd Prize, China Undergraduate Physics Competition (CUPC) 2016
  • 3rd Prize, Shing-Tung Yau Science Awards (Yau Awards) 2015
  • 1st Prize, Chinese Mathematical Olympiad (CMO) 2014

  • Student Travel Grant Awards

  • Meng-Minwei Travel Grant Award (DEXA'18 in Regensberg, Germany) 2018
  • ACM SIGIR Travel Grant Award (CIKM'18 in Turin, Italy) 2018
  • Visiting Scholar Grant Award (Research Intern in UIUC, USA) 2018

  • Publications
    EPOC: a survival perspective Early Pattern detection model for Outbreak Cascades
    Chaoqi Yang, Qitian Wu, Xiaofeng Gao, Guihai Chen
    (Accepted by) International Conference on Database and Expert Systems Applications (DEXA), 2018 [link][paper][github][ppt]

    We employ survival theory and design a novel survival perspective Early Pattern detection model for Outbreak Cascades (EPOC).

    Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction
    Qitian Wu, Chaoqi Yang, Hengrui Zhang, Xiaofeng Gao, Paul Weng, Guihai Chen
    (Accepted by) International Conference on Information and Knowledge Management (CIKM), 2018 [link][paper][github][ppt]

    We propose PreNets unifying the feature driven method and the point process method in an adversarial way.

    EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity Prediction
    Qitian Wu, Chaoqi Yang, Xiaofeng Gao, Peng He, Guihai Chen
    (Accepted by) IEEE International Conference on Data Mining (ICDM), 2018 [paper][github]

    We propose EPAB, using early patterns and early indicators to make future popularity predictable using observable features, based on a Bayesian structure learning.

    A Graph Convolutional Approach to Answer Selection in Community Question Answering
    Kanika Narang, Chaoqi Yang, Adit Krishnan, Hari Sundaram, Carolyn Sutter,
    (Submitted to) ACM International World Wide Web Conference (WWW), 2018 [paper]

    We proposed induced-relation (contrastive, similar and reflexive) graph convolutional networks (GCN).

    Using Survival Theory in Early Pattern Detection for Viral Cascades
    Xiaofeng Gao, Xiaosong Jia, Chaoqi Yang, Guihai Chen
    (Submitted to) IEEE Transaction on Knowledge and Data Engineering (TKDE), 2018 [paper]

    We revisit survival theory in popularity prediction, and do more solid experiments on Twitter and Weibo for our transaction version.

    Selected SE Projects

    "Have a Chat!": Online Chatroom Using Python Socket"
    (IS301) Computer Communication Network
    Chaoqi Yang. Sept. 2017 - Jan. 2018 [github] [report]

    I implement a web client & Server, able to transfer files, emojis and messages, with Python Socket, Flask, Bootstrap and Xampp, using WeChat and its Moment as a reference.

    Remote Car Controller: Using Cellphone to Control a Car
    (EI312) Engineering Practice and Technological Innovation III-C
    Chaoqi Yang, Tao Zhu, Xiaohang Yang. Spring 2017 [github][demo][link]

    We implement a car controller using Java, realizing four control modes: direction button, voice (iFly Specch API), gesture shift, gravity sensor(3D Gyroscope), and live video transmission. Also, We created a website of series of Html files to show our work.

    Evaluation and Forecast for Renewable Energy in America
    (2018 MCM) COMAP's Mathematical Contest in Modeling
    Chaoqi Yang, Jiangkang Wang, Ruijie Wang. Feb. 2018 [report]
    Advisor: Xiaofeng Gao, Doug Faires Award for MCM, Associate Professor at Department of Computer Science, SJTU

    We conduct extensive data analysis using Matlab and survey on the provided 50 years of four states' data in 605 variables, and present nice results with HighCharts. Win Meritorious Winner.

    JiaoJiao: SJTU Course Looking Up Android App
    (IS222) Principle and Technology of Embeding System
    Chaoqi Yang, Linyi Ding, Weidong Ren. Spring 2018 [github] [demo] [report]

    We implement an android web-client App of Shanghai Jiao Tong University official web using Android Studio and Python, then store all the student info using MySQL. We also draft 12 pieces of detailed development report, counting 160,000 words.

    FPGA Lab: Design of Digital Adder and Counter
    (ES003) Electronics Lab
    Chaoqi Yang. Mar. 2016 - July 2016 [source] [report]

    I used FPGA DIGILENT system to implement one digital adder and counter, based on knowledge of FPGA and Verilog. This work was highly prized, and I got full mark (95/100) in that project!

    Python Game Developer: Jump For Fun!
    (CS902) Thinking and Approach of Programming
    Chaoqi Yang, Dian Zhan, Zhicheng Wu. Fall, 2015 [source] [report]

    We developed an Windows EXE Game Program called Jump For Fun, based on Tkinter and PyQt5! This is my first time to design GUI and use Python to develop simple but interesting things.

    Updated on Dec 6th, 2018.

    Thanks to Jonbarron's excellent job partially.
    Source codes are available on chaoqi's github.
    ***If you want to use it, please give a star.