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Changan Niu
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2020 – today
- 2024
- [j2]Changan Niu
, Chuanyi Li
PassSum: Leveraging paths of abstract syntax trees and self-supervision for code summarization. J. Softw. Evol. Process. 36(6) (2024) - [j1]Changan Niu
Comparing the Pretrained Models of Source Code by Re-pretraining Under a Unified Setup. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17768-17778 (2024) - [c8]Changan Niu
On Evaluating the Efficiency of Source Code Generated by LLMs. FORGE 2024: 103-107 - [c7]Changan Niu
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. ICSE 2024: 33:1-33:12 - [i7]Changan Niu, Ting Zhang, Chuanyi Li, Bin Luo, Vincent Ng:
On Evaluating the Efficiency of Source Code Generated by LLMs. CoRR abs/2404.06041 (2024) - 2023
- [c6]Changan Niu
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models. ICSE 2023: 537-549 - [c5]Changan Niu
An Empirical Comparison of Pre-Trained Models of Source Code. ICSE 2023: 2136-2148 - [c4]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo
Are We Ready to Embrace Generative AI for Software Q&A? ASE 2023: 1713-1717 - [i6]Changan Niu, Chuanyi Li, Vincent Ng, Dongxiao Chen, Jidong Ge, Bin Luo:
An Empirical Comparison of Pre-Trained Models of Source Code. CoRR abs/2302.04026 (2023) - [i5]Changan Niu, Chuanyi Li, Vincent Ng, Bin Luo:
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models. CoRR abs/2302.04030 (2023) - [i4]Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo:
Are We Ready to Embrace Generative AI for Software Q&A? CoRR abs/2307.09765 (2023) - [i3]Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo:
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. CoRR abs/2309.04828 (2023) - 2022
- [c3]Changan Niu
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations. ICSE 2022: 1-13 - [c2]Changan Niu
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code. IJCAI 2022: 5546-5555 - [i2]Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, Liguo Huang, Bin Luo:
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations. CoRR abs/2201.01549 (2022) - [i1]Changan Niu, Chuanyi Li, Bin Luo, Vincent Ng:
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code. CoRR abs/2205.11739 (2022) - 2020
- [c1]Yu Liang, Jidong Ge, Sheng Zhang, Changan Niu, Wei Song, Bin Luo:
Efficient Service Entity Chain Placement in Mobile Edge Computing. MSN 2020: 182-189
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