CV

Education

B.S. in Chongqing, Chongqing University, CS, 2013.09-2017.06
Ph.D in Nanjing, Nanjing University, CS, 2017.09-now

Work experience

Research Intern, AsiaInfo-Sec, Nanjing, 2021.3-now
Advanced Threat Research (Data-driven malware study, detect, defence)

Skills

Programming (with Python, C/C++)
Data Analysis (in Information Security, Finance, etc.)
Marketing

Publications

Building Adversarial Defense with Non-invertible Data Transformations

Guo W, Mu D, Chen L, et al. Building Adversarial Defense with Non-invertible Data Transformations[C]//Pacific Rim International Conference on Artificial Intelligence. Springer, Cham, 2019: 593-606.

CATI: Context-Assisted Type Inference from Stripped Binaries

Chen L, He Z, Mao B. CATI: Context-Assisted Type Inference from Stripped Binaries[C]//2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2020: 88-98.

What Exactly Determines the Type? Inferring Types with Context

Chen L. What Exactly Determines the Type? Inferring Types with Context[C]//2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S). IEEE, 2020: 71-72.

RoBin: Facilitating the Reproduction of Configuration-Related Vulnerability

Chen, Ligeng, et al. "RoBin: Facilitating the Reproduction of Configuration-Related Vulnerability." arXiv preprint arXiv:2110.12989 (2021).

DIComP: Lightweight Data-Driven Inference of Binary Compiler Provenance with High Accuracy

To appear.

AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method

Chen, Ligeng, et al. "AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method." arXiv preprint arXiv:2208.14221 (2022).

Nimbus: Toward Speed Up Function Signature Recovery via Input Resizing and Multi-Task Learning

Qian, Y., Chen, L., Wang, Y., & Mao, B. (2022). Nimbus: Toward Speed Up Function Signature Recovery via Input Resizing and Multi-Task Learning. arXiv preprint arXiv:2211.04219.

RecMaL: Rectify the Malware Family Label via Hybrid Analysis

Yang, W., Gao, M., Chen, L., Liu, Z., & Ying, L. (2023). RecMaL: Rectify the malware family label via hybrid analysis. Computers & Security, 128, 103177.

Award & Experience

Award

Huawei’s 4th Sales Elite Challenge Global TOP 50, 2018
Zhongan first offline hackathon programming competition AI Track, First Prize, 2018
Zhongan 2nd offline hackathon programming competition AI Track, Second Prize, 2019
Zhongan 3rd offline hackathon programming competition AI Track, Second Prize, 2020
1st “Zhongchuzhiyun” Cup Intelligent Logistics Algorithm Contest, First Prize, 2019
“Blue Cup” 2019 New Retail Scene Image Classification Algorithm Contest, First Prize, 2019
Zhongxing - team Winning Award, Individual Marketing Star of the 11th GLOBAL Final of ZHONGxing Holding Monthly Big Operators
One Point Information CTR Prediction Competition, Second Prize, 2021
China College Students Insurance Digital Challenge - Digital Track National Champion (1/3,000+), 2021
Annual Champion of graduate track of Jiangsu University Student Career Planning Competition (1/256,000), 2021

Scholarship

National Scholarship(undergraduate student), 2014
Master’s Merit Scholarship, Second Prize, 2018
Ph.D candidate’s Scholarship, First Prize, 2019
Ph.D candidate’s Scholarship, First Prize, 2020
Graduate Dongliang Special Prize of Nanjing University (only 6 in the university)

Honor

Excellent League Member of Nanjing University, 2017
Outstanding Postgraduate Student Cadre (Pacemaker) of Nanjing University, 2017
Outstanding Communist Youth League Cadre (Pacemaker) of Nanjing University, 2018
Outstanding Student of Nanjing University, 2019
Merit Student of Jiangsu Province, 2019
Outstanding Graduate Student (Pacemaker) of Nanjing University, 2019

Experience

Chairman of the Graduate School of Computer Science, Nanjing University, 2017-2018
Vice President of Artificial Intelligence Association, Nanjing University, 2018-2019
Participate in the recording of Jiangsu Satellite TV’s Super Brain second season, TOP 12

Chen Ligeng

CV