CHEN Weiling (陈未羚)
Blk N4, b2a-01, 50 Nanyang Avenue, NTU, Singapore 639798
(+65)85751378
wchen015(at)e.ntu.edu.sg

Education
1. Nanyang Technological University ((Expected) Aug 2014 – Aug 2018)
Doctor of Philosophy, School of Computer Science and Engineering
Overall GPA: 4.83/5

2. Shandong University (Aug 2010 – June 2014)
Bachelor of Engineering (First Class Honours), School of Computer Science and Technology
Academic scores: 88.57/100

Research Interests
My research interests include machine learning and data mining with applications to social media and other related fields. More specifically, my research mainly focuses on extracting knowledge from social media using text analysis, behavioral pattern recognition and other techniques so as to build prediction and/or detection models – in that way merging insights both from data mining and machine learning. I also have interest and experience in knowledge representation and reasoning especially in contextual reasoning.

Selected Projects
1. Stock Index Prediction Using News Content (Jan 2016 – Apr 2017)
– Calculated sentiment and LDA features based on news content from OSN and combined them with traditional technical indicators.
– Implemented a Recurrent Neural Networks model with Gated Recurrent Units.
– Predicted stock index with an accuracy of 70.17% with low errors.

2. Rumor Detection on Sina Weibo (Jan 2016 – Apr 2017)
– Proposed comment based features and exploited crowd wisdom to detect rumors online.
– Implemented a combination of AutoEncoder and Recurrent Neural Networks to model user behaviors in posting behaviors.
– Identified rumors with an accuracy of 92.49% and F1 of 89.16%.
– Published 3 conference papers and one journal paper is under revision.

3. Low-quality content filtering on Twitter (Jul 2014 – Dec 2015)
– Collected 100k Tweets to build a dataset for training.
– Surveyed 211 users’ about their opinions about low-quality content.
– Incorporated word level analysis to facilitate low-quality filtering.
– Implemented a Random Forest classifier which can identified low-quality content with an accuracy of 97.11% and a F1 of 83.79%.

3. Meet-True – An Artwork Sharing Social Website (Aug 2015 – Dec 2015)
– Gathered and analyzed the requirement from project stakeholders.
– Collaborated with the team leader to design the database.
– Implemented the gallery related features as well as the third-party login feature.
– The link to the website: http://www.meet-true.com.

Work Experience/Internship
1. Nanyang Technological University, Computer Networks and Communications Graduate Lab,
Research Engineer (Jul 2018 – Present)
– Carried out preliminary studies for video analysis.
– Implemented algorithms for illegal vehicle detection using deep learning.

2. Toshiba Corporation, Corporate Solutions Development Center,
Research Engineer (Intern) (Jan 2018 – Feb 2018)
– Performed survival analysis using deep learning method DeepSurv on 3 existing datasets.
– Compared DeepSurv with other traditional methods like CPF and RSF.
– Carried out a study on the data scale needed for DeepSurv.

3. National Institute of Advanced Industrial Science and Technology, Intelligence Cloud Research Team,
Technical trainee (Intern) (Feb 2017 – Apr 2017)
– Optimized the algorithm; reduced the calculation time.
– Collected data using SPARQL and built a knowledge base accordingly.
– Implemented a complete demo illustrating the algorithms.

4. Alibaba Group, International Core Business Unit,
Quality Assurance Engineer (Intern) (Jul 2013 – Sept 2013)
– Maintained the testing environment.
– Developed codes of PI which is a frontend test automation framework.
– Designed and implemented test cases for projects in the charge of the Searching and Advertising Team.

Leadership/Co-Curricular Activities
Residential mentor of NTU Hall 5 under Hang Seng Program (Jul 2017 – Jul 2018)
Admin officer of NTU Graduate Student Council HR Committee (Apr 2016 – Apr 2018)
Admin officer of NTUGSC Welfare and Feedback Committee (Apr 2015 – Apr 2016)

Honors/Awards
Research Scholar under NTU PhD Research Scholarship (Jul 2014 – Feb 2018)
Student travel grant offered by Cryptodatathon 2018 (Jun 2018)
Women in Technology and Science Conference Grant Award (Jan 2018)
Student travel award offered by ICML 2017, CIKM 2017 (Aug 2017)
Invited speaker for The AOTULE Student Conference (Nov 2016)
Travel grant offered by RAID 2015 (Nov 2015)
Outstanding Graduates of Shandong University (Jun 2014)

Skills
Language Skills: English (Advanced Level), Chinese and Mandarin (Advanced Level), Cantonese (Intermediate Level), Japanese (Intermediate Level)
Programming and Database Skills: PHP (Advanced Level), Java (Advanced Level), MySQL (Advanced Level), Python (Advanced Level), LaTex (Intermediate Level), JavaScript (Elementary Level), R (Elementary Level)
Software Application Skills: Microsoft Office 2016 (Advanced Level), Adobe Photoshop CS2 (Advanced Level)

See my LinkedIn page HERE.