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2020 – today
- 2024
[j2]Yinghua Li
, Xueqi Dang, Weiguo Pian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé:
Test Input Prioritization for Graph Neural Networks. IEEE Trans. Software Eng. 50(6): 1396-1424 (2024)- [c8]Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé:
Learning to Represent Patches. ICSE Companion 2024: 396-397 - [c7]Boyang Yang, Haoye Tian, Weiguo Pian, Haoran Yu, Haitao Wang, Jacques Klein, Tegawendé F. Bissyandé, Shunfu Jin:
CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors. ISSTA 2024: 882-894 - [c6]Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning. NLDB (1) 2024: 62-77 - [i9]Boyang Yang, Haoye Tian, Weiguo Pian, Haoran Yu, Haitao Wang, Jacques Klein, Tegawendé F. Bissyandé, Shunfu Jin:
CREF: An LLM-based Conversational Software Repair Framework for Programming Tutors. CoRR abs/2406.13972 (2024) - 2023
- [c5]Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé:
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. AAAI 2023: 5239-5247 - [c4]Shentong Mo, Weiguo Pian, Yapeng Tian:
Class-Incremental Grouping Network for Continual Audio-Visual Learning. ICCV 2023: 7754-7764 - [c3]Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian:
Audio-Visual Class-Incremental Learning. ICCV 2023: 7765-7777 - [c2]Hanyu Peng, Weiguo Pian, Mingming Sun, Ping Li:
Dynamic Re-weighting for Long-tailed Semi-supervised Learning. WACV 2023: 6453-6463 - [i8]Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning. CoRR abs/2308.01413 (2023) - [i7]Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian:
Audio-Visual Class-Incremental Learning. CoRR abs/2308.11073 (2023) - [i6]Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé:
Learning to Represent Patches. CoRR abs/2308.16586 (2023) - [i5]Shentong Mo, Weiguo Pian, Yapeng Tian:
Class-Incremental Grouping Network for Continual Audio-Visual Learning. CoRR abs/2309.05281 (2023) - 2022
- [j1]Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé:
Predicting Patch Correctness Based on the Similarity of Failing Test Cases. ACM Trans. Softw. Eng. Methodol. 31(4): 77:1-77:30 (2022) - [i4]Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé:
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. CoRR abs/2206.06460 (2022) - 2021
- [i3]Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Jacques Klein, Tegawendé F. Bissyandé:
Checking Patch Behaviour against Test Specification. CoRR abs/2107.13296 (2021) - 2020
- [c1]Weiguo Pian, Yingbo Wu, Ziyi Kou:
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction. DataMod@CIKM 2020: 38-53 - [i2]Weiguo Pian, Yingbo Wu, Ziyi Kou:
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction. CoRR abs/2006.04089 (2020) - [i1]Weiguo Pian, Yingbo Wu:
Spatial-Temporal Dynamic Graph Attention Networks for Ride-hailing Demand Prediction. CoRR abs/2006.05905 (2020)
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