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Sha, Chaofeng
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1

Evaluating Large Language Models in Class-Level Code Genera..:

, In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering,
Du, Xueying ; Liu, Mingwei ; Wang, Kaixin... - p. 1-13 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Evaluating Large Language Models in Class-Level Code Genera..:

, In: 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE),
Du, Xueying ; Liu, Mingwei ; Wang, Kaixin... - p. 982-994 , 2024
Link: https://doi.org/10.1145/..
 
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3

On Calibration of Pretrained Code Models:

, In: 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE),
Zhou, Zhenhao ; Sha, Chaofeng ; Peng, Xin - p. 931-943 , 2024
Link: https://doi.org/10.1145/..
 
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4

On Calibration of Pre-trained Code Models:

, In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering,
Zhou, Zhenhao ; Sha, Chaofeng ; Peng, Xin - p. 1-13 , 2024
Link: https://dl.acm.org/doi/1..
 
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5

Improving Fine-tuning Pre-trained Models on Small Source Co..:

, In: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER),
Liu, Jiaxing ; Sha, Chaofeng ; Peng, Xin - p. 331-342 , 2023
Link: https://doi.org/10.1109/..
 
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6

An Empirical Study of Parameter-Efficient Fine-Tuning Metho..:

, In: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE),
Liu, Jiaxing ; Sha, Chaofeng ; Peng, Xin - p. 397-408 , 2023
Link: https://doi.org/10.1109/..
 
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7

Task-Oriented ML/DL Library Recommendation Based on a Knowl..:

Liu, Mingwei ; Zhao, Chengyuan ; Peng, Xin...
IEEE Transactions on Software Engineering.  49 (2023)  8 - p. 4081-4096 , 2023
Link: https://doi.org/10.1109/..
 
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8

In Defense of Simple Techniques for Neural Network Test Cas..:

, In: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis,
Bao, Shenglin ; Sha, Chaofeng ; Chen, Bihuan.. - p. 501-513 , 2023
Link: https://dl.acm.org/doi/1..
 
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9

Dual-graph co-representation learning for knowledge-Graph E..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Liu, Xinbiao ; Liang, Bin ; Niu, Junyu.. - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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10

EASC: An exception-aware semantic compression framework for..:

Jiang, Sihang ; Feng, Jianchuan ; Wang, Chao...
Knowledge-Based Systems.  278 (2023)  - p. 110900 , 2023
Link: https://doi.org/10.1016/..
 
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11

Fully Utilizing Neighbors for Session-Based Recommendation ..:

, In: Database Systems for Advanced Applications; Lecture Notes in Computer Science,
Zhang, Xingyu ; Sha, Chaofeng - p. 36-52 , 2022
Link: https://doi.org/10.1007/..
 
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12

DeepTraLog: Trace-Log Combined Microservice Anomaly Detecti..:

, In: 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE),
Zhang, Chenxi ; Peng, Xin ; Sha, Chaofeng... - p. 623-634 , 2022
Link: https://doi.org/10.1145/..
 
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13

MAF: A General Matching and Alignment Framework for Multimo..:

, In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining,
Xu, Bo ; Huang, Shizhou ; Sha, Chaofeng. - p. 1215-1223 , 2022
Link: https://dl.acm.org/doi/1..
 
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14

PUTraceAD: Trace Anomaly Detection with Partial Labels base..:

, In: 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE),
Zhang, Ke ; Zhang, Chenxi ; Peng, Xin. - p. 239-250 , 2022
Link: https://doi.org/10.1109/..
 
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15

TraceCRL: contrastive representation learning for microserv..:

, In: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Zhang, Chenxi ; Peng, Xin ; Zhou, Tong... - p. 1221-1232 , 2022
Link: https://dl.acm.org/doi/1..
 
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