Efficient Service Entity Chain Placement in Mobile Edge Computing. - Yu Liang 001; Jidong Ge; Sheng Zhang 001; Changan Niu; Wei Song 003; Bin Luo 003 (MSN, 2020)

SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations. - Changan Niu; Chuanyi Li; Vincent Ng 001; Jidong Ge; Liguo Huang; Bin Luo 003 (ICSE, 2022)

Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code. - Changan Niu; Chuanyi Li; Bin Luo 003; Vincent Ng 001 (IJCAI, 2022)

An Empirical Comparison of Pre-Trained Models of Source Code. - Changan Niu; Chuanyi Li; Vincent Ng 001; Dongxiao Chen; Jidong Ge; Bin Luo 003 (ICSE, 2023)

CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models. - Changan Niu; Chuanyi Li; Vincent Ng 001; Bin Luo 003 (ICSE, 2023)

Are We Ready to Embrace Generative AI for Software Q&A? - Bowen Xu; Thanh-Dat Nguyen; Thanh Le-Cong; Thong Hoang; Jiakun Liu; Kisub Kim; Chen Gong 005; Changan Niu; Chenyu Wang 005; Bach Le 001; David Lo 001 (ASE, 2023)

On Evaluating the Efficiency of Source Code Generated by LLMs. - Changan Niu; Ting Zhang 011; Chuanyi Li; Bin Luo 003; Vincent Ng 001 (FORGE, 2024)

FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. - Changan Niu; Chuanyi Li; Vincent Ng 001; David Lo 001; Bin Luo 003 (ICSE, 2024)

PassSum: Leveraging paths of abstract syntax trees and self-supervision for code summarization. - Changan Niu; Chuanyi Li; Vincent Ng 001; Jidong Ge; Liguo Huang; Bin Luo 003 (J. Softw. Evol. Process., 2024)

Comparing the Pretrained Models of Source Code by Re-pretraining Under a Unified Setup. - Changan Niu; Chuanyi Li; Vincent Ng 001; Bin Luo 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

OptCodeTrans: Boost LLMs on Low-Resource Programming Language Translation. - Jianbo Lin; Yi Shen; Chuanyi Li; Changan Niu; Bin Luo 003 (Forge@ICSE, 2025)