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Feifei Niu
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2020 – today
- 2025
[j7]Feifei Niu, Arindam Sarkar, Sarbajit Manna, Soumya Chatterjee, Abdulfattah Noorwali, Kamal M. Othman:
Differential privacy-enabled federated learning for secure neural synchronization in protecting industrial data streams. Clust. Comput. 28(8): 534 (2025)
[j6]Feifei Niu
, Chuanyi Li
, Kui Liu
, Xin Xia
, David Lo
:
When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. ACM Comput. Surv. 57(11): 296:1-296:41 (2025)
[j5]Feifei Niu
, Chuanyi Li, Heng Chen, Jidong Ge
, Bin Luo, Alexander Egyed:
Utilizing Creator Profiles for Predicting Valuable User Enhancement Reports. J. Softw. Evol. Process. 37(11) (2025)
[c8]Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assunção
, Chuanyi Li, Jidong Ge, Alexander Egyed:
Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis. ISSRE 2025: 527-538
[i8]Feifei Niu, Rongqi Pan, Lionel C. Briand, Hanyang Hu, Krishna Koravadi:
TVR: Automotive System Requirement Traceability Validation and Recovery Through Retrieval-Augmented Generation. CoRR abs/2504.15427 (2025)
[i7]Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo:
When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. CoRR abs/2505.00144 (2025)
[i6]Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo:
Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks. CoRR abs/2505.08903 (2025)
[i5]Rongqi Pan, Feifei Niu, Lionel C. Briand, Hanyang Hu:
Requirements Coverage-Guided Minimization for Natural Language Test Cases. CoRR abs/2505.20004 (2025)
[i4]Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia:
Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models. CoRR abs/2506.10426 (2025)
[i3]Haosheng Zuo, Feifei Niu, Chuanyi Li:
Enhancement Report Approval Prediction: A Comparative Study of Large Language Models. CoRR abs/2506.15098 (2025)
[i2]Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assunção, Chuanyi Li, Jidong Ge, Alexander Egyed:
Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis. CoRR abs/2507.19714 (2025)
[i1]Feifei Niu, Chuanyi Li, Haosheng Zuo, Jionghan Wu, Xin Xia:
Feature Request Analysis and Processing: Tasks, Techniques, and Trends. CoRR abs/2508.12436 (2025)- 2024
[j4]Feifei Niu
, Enshuo Zhang, Christoph Mayr-Dorn, Wesley Klewerton Guez Assunção
, Liguo Huang, Jidong Ge, Bin Luo, Alexander Egyed:
An extensive replication study of the ABLoTS approach for bug localization. Empir. Softw. Eng. 29(6): 143 (2024)
[c7]Feifei Niu
, Junqian Shao
, Chaofan Xu
, Christoph Mayr-Dorn
, Wesley K. G. Assunção
, Liguo Huang
, Chuanyi Li
, Jidong Ge
, Bin Luo
, Alexander Egyed
:
RAT: A Refactoring-Aware Tool for Tracking Code History. ICSE Companion 2024: 104-108
[c6]Xiao Yu
, Zexian Zhang, Feifei Niu
, Xing Hu
, Xin Xia
, John Grundy
:
What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners' Perspective. ASE 2024: 656-668- 2023
[c5]Feifei Niu
, Wesley K. G. Assunção, LiGuo Huang
, Christoph Mayr-Dorn, Jidong Ge, Bin Luo, Alexander Egyed:
RAT: A Refactoring-Aware Traceability Model for Bug Localization. ICSE 2023: 196-207
[c4]Feifei Niu
, Christoph Mayr-Dorn, Wesley K. G. Assunção
, LiGuo Huang
, Jidong Ge, Bin Luo, Alexander Egyed:
The ABLoTS Approach for Bug Localization: is it replicable and generalizable? MSR 2023: 576-587- 2022
[j3]Xing Huang
, Xinning Hu
, Chunyan Cui
, Hao Wang
, Feifei Niu
, Yuan Zhang
, Luzhong Wang
, Qiuliang Wang
, Xinghua Hao
, Ming Liu
, Xiaodong Chen
, Yan Yang
:
Design and Construction of a Superconducting Gravimeter Prototype. IEEE Trans. Instrum. Meas. 71: 1-10 (2022)
[j2]Feifei Niu
, Chuanyi Li
, Jidong Ge
, Lijie Wen
, Zhongjin Li
, Bin Luo:
Measuring Business Process Behavioral Similarity Based on Token Log Profile. IEEE Trans. Serv. Comput. 15(6): 3344-3357 (2022)
[c3]Feifei Niu, Chuanyi Li, Heng Chen, Jidong Ge, Bin Luo:
Towards Just-In-Time Feature Request Approval Prediction. Internetware 2022: 262-271- 2021
[c2]Feifei Niu:
Cloud Technology Dual Data Center Information System Based on Disaster Recovery Platform. SPIoT (1) 2021: 843-848
[d1]Chuanyi Li, Feifei Niu:
Process Models for evaluating Process Similarity Algorithms. IEEE DataPort, 2021
2010 – 2019
- 2015
[j1]Yici Cai, Chao Deng, Qiang Zhou, Hailong Yao, Feifei Niu, Cliff N. Sze:
Obstacle-Avoiding and Slew-Constrained Clock Tree Synthesis With Efficient Buffer Insertion. IEEE Trans. Very Large Scale Integr. Syst. 23(1): 142-155 (2015)- 2011
[c1]Feifei Niu, Qiang Zhou, Hailong Yao, Yici Cai, Jianlei Yang, Chin Ngai Sze:
Obstacle-avoiding and slew-constrained buffered clock tree synthesis for skew optimization. ACM Great Lakes Symposium on VLSI 2011: 199-204
Coauthor Index

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