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Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning.

L. Liu, S. Wang, Y. Liu, J. Deng, and S. Liu. Internetware, page 227-237. ACM, (2023)

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Jinliang Gao

Jinliang Yuan

Jinliang Zhuang

Jinliang Huang

Zhiguo Deng

Other publications of authors with the same name

TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization.J. Deng, J. Deng, D. Yin, R. Jiang, and X. Song. ACM Trans. Knowl. Discov. Data, 18 (1): 3:1-3:25 (January 2024)Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.J. Deng, X. Chen, R. Jiang, D. Yin, Y. Yang, X. Song, and I. Tsang. CoRR, (2023)Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.Z. Dong, R. Jiang, H. Gao, H. Liu, J. Deng, Q. Wen, and X. Song. CoRR, (2024)Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.D. Yin, J. Deng, S. Ao, Z. Li, H. Xue, A. Prabowo, R. Jiang, X. Song, and F. Salim. CoRR, (2024)A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.J. Deng, X. Chen, R. Jiang, X. Song, and I. Tsang. IEEE Trans. Knowl. Data Eng., 35 (8): 7665-7680 (August 2023)Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting.H. Liu, Z. Dong, R. Jiang, J. Deng, J. Deng, Q. Chen, and X. Song. CIKM, page 4125-4129. ACM, (2023)A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting.J. Deng, X. Chen, R. Jiang, X. Song, and I. Tsang. CoRR, (2021)Learning Gaussian Mixture Representations for Tensor Time Series Forecasting.J. Deng, J. Deng, R. Jiang, and X. Song. IJCAI, page 2077-2085. ijcai.org, (2023)Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.X. Chen, Y. Zhang, J. Deng, J. Jiang, and W. Wang. SDM, page 909-917. SIAM, (2023)Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility.Y. Li, Z. Fan, J. Zhang, D. Shi, T. Xu, D. Yin, J. Deng, and X. Song. CIKM, page 4209-4213. ACM, (2022)

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Disambiguation of "Deng, Jinliang"

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Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning.

Please choose a person to relate this publication to

Jinliang Gao

Jinliang Yuan

Jinliang Zhuang

Jinliang Huang

Zhiguo Deng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Deng, Jinliang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning.

Please choose a person to relate this publication to

Jinliang Gao

Jinliang Yuan

Jinliang Zhuang

Jinliang Huang

Zhiguo Deng

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning.