Guoliang Dong

Researcher, SCIS, Singapore Management University

Joined

May 2024

Names

Guoliang Dong (Preferred)

Emails

****@zju.edu.cn (Confirmed)

****@smu.edu.sg (Confirmed)

Personal Links

Career & Education History

Researcher

SCIS, Singapore Management University (smu.edu.sg)

2022 – 2026

Advisors, Relations & Conflicts

No relations added

Expertise

large language model

Embodied AI

and Agentic AI

2022 – Present

Publications

A Comprehensive Study of OOP-Related Bugs in C++ Compilers
Bo Wang, Chong Chen, Junjie Chen, Bowen Xu, Chen Ye, Youfang Lin, Guoliang Dong, Jun Sun
- IEEE Trans. Software Eng. 2025
- Readers: Everyone
Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity
Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang
- IJCAI 2025
- Readers: Everyone
Repairing Adversarial Texts Through Perturbation
Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- TASE 2022
- Readers: Everyone
Towards Repairing Neural Networks Correctly
Guoliang Dong, Jun Sun, Xingen Wang, Xinyu Wang, Ting Dai
- QRS 2021
- Readers: Everyone
White-box fairness testing through adversarial sampling
Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Ting Dai
- Published: 01 Jan 2020, Last Modified: 15 May 2023
- ICSE 2020
- Readers: Everyone
Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction
Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang
- Published: 01 Jan 2020, Last Modified: 15 May 2023
- ASE 2020
- Readers: Everyone
Adversarial sample detection for deep neural network through model mutation testing
Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang
- Published: 01 Jan 2019, Last Modified: 15 May 2023
- ICSE 2019
- Readers: Everyone

Guoliang Dong

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

A Comprehensive Study of OOP-Related Bugs in C++ Compilers

Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity

Repairing Adversarial Texts Through Perturbation

Towards Repairing Neural Networks Correctly

White-box fairness testing through adversarial sampling

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction

Adversarial sample detection for deep neural network through model mutation testing

Co-Authors