I’m a research student at the School of Computer Science and Engineering at Nanyang Technological University under the supervision of Prof. Liu Yang. I have been awarded third place in the AISG Trusted Media Challenge, receiving a cash prize of 25,000 SGD, along with the AISG PhD Fellowship and the DAAD AInet Fellowship.

My Ph.D. research primarily focuses on the broad intersection between Artificial Intelligence and Software Engineering. Specifically, I’m interested in using software engineering (SE) methods to regulate AI-based software development to build trustworthy AI models (SE4AI) and in developing trustworthy code LLMs (AI4SE).

News

•   Nov 2024: I have been selected as one of the top reviewers for NeurIPS 2024 (1304/15160 8.6%).
•   Nov 2024: We won the championship in the NTU 2024 Staff 3x3 Basketball Tournament and achieved 1st runner-up in the 2024 Sports Challenge Basketball Event.
•   Oct 2024: Our paper “BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks” is accepted by ICSE 2025. Congrats to Yisong!
•   Sept 2024: Our paper “SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification” is accepted by NeurIPS 2024.
•   Aug 2024: Our paper “VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair” is accepted by ASE 2024.
•   July 2024: Our paper “CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance” is accepted by EMSOFT 2024 and TCAD.
•   May 2024: Our paper “Improving Neural Logic Machines via Failure Reflection” is accepted by ICML 2024. Congrats to Zhiming!
•   April 2024: I get the DAAD AInet Fellowship.
•   Feb 2024: Our paper “Unveiling project-specific bias in neural code models” is accepted by COLING 2024.
•   Feb 2024: Our paper “BadEdit: Backdooring Large Language Models by Model Editing” is accepted by ICLR 2024.
•   Feb 2024: Our paper “IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks” is accepted by ICLR 2024.
•   Dec 2023: Our paper “FedMut: Generalized Federated Learning via Stochastic Mutation” is accepted by AAAI 2024 (oral).
•   Dec 2023: Our paper “Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Model” is accepted by AAAI 2024.