Общедоступные статьи - Yao WanПодробнее...
2 статьи недоступны нигде
XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training
Z Lin, G Li, J Zhang, Y Deng, X Zeng, Y Zhang, Y Wan
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-44, 2022
Финансирование: National Natural Science Foundation of China
Summarizing source code with Heterogeneous Syntax Graph and dual position
J Guo, J Liu, X Liu, Y Wan, L Li
Information Processing & Management 60 (5), 103415, 2023
Финансирование: National Natural Science Foundation of China
33 статьи доступны в некоторых источниках
Improving automatic source code summarization via deep reinforcement learning
Y Wan, Z Zhao, M Yang, G Xu, H Ying, J Wu, PS Yu
ASE 2018, 397-407, 2018
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Kg-bart: Knowledge graph-augmented bart for generative commonsense reasoning
Y Liu, Y Wan, L He, H Peng, SY Philip
AAAI 2021 35 (7), 6418-6425, 2021
Финансирование: US National Science Foundation
Multi-modal attention network learning for semantic source code retrieval
Y Wan, J Shu, Y Sui, G Xu, Z Zhao, J Wu, PS Yu
ASE 2019, 2019
Финансирование: US National Science Foundation, Australian Research Council, National …
What Do They Capture?--A Structural Analysis of Pre-Trained Language Models for Source Code
Y Wan, W Zhao, H Zhang, Y Sui, G Xu, H Jin
ICSE 2022, 2022
Финансирование: National Natural Science Foundation of China
Reinforcement-learning-guided source code summarization using hierarchical attention
W Wang, Y Zhang, Y Sui, Y Wan, Z Zhao, J Wu, SY Philip, G Xu
IEEE Transactions on software Engineering 48 (1), 102-119, 2020
Финансирование: US National Science Foundation, Australian Research Council, National …
FedBERT: When Federated Learning Meets Pre-training
Y Tian, Y Wan, L Lyu, D Yao, H Jin, L Sun
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-26, 2022
Финансирование: National Natural Science Foundation of China
FCCA: Hybrid code representation for functional clone detection using attention networks
W Hua, Y Sui, Y Wan, G Liu, G Xu
IEEE Transactions on Reliability 70 (1), 304-318, 2020
Финансирование: Australian Research Council, National Natural Science Foundation of China
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
J Chen, K Liao, Y Wan, DZ Chen, J Wu
AAAI 2022, 2021
Финансирование: US National Science Foundation, National Natural Science Foundation of China
You see what I want you to see: poisoning vulnerabilities in neural code search
Y Wan, S Zhang, H Zhang, Y Sui, G Xu, D Yao, H Jin, L Sun
ESEC/FSE 2022, 1233-1245, 2022
Финансирование: National Natural Science Foundation of China
Multi-triage: A multi-task learning framework for bug triage
TWW Aung, Y Wan, H Huo, Y Sui
Journal of Systems and Software 184, 111133, 2022
Финансирование: Australian Research Council
FedGKD: Toward heterogeneous federated learning via global knowledge distillation
D Yao, W Pan, Y Dai, Y Wan, X Ding, C Yu, H Jin, Z Xu, L Sun
IEEE Transactions on Computers 73 (1), 3-17, 2023
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Cross-Language Binary-Source Code Matching with Intermediate Representations
Y Gui, Y Wan, H Zhang, H Huang, Y Sui, G Xu, Z Shao, H Jin
SANER 2022, 2022
Финансирование: National Natural Science Foundation of China
Reinforced moocs concept recommendation in heterogeneous information networks
J Gong, Y Wan, Y Liu, X Li, Y Zhao, C Wang, Y Lin, X Fang, W Feng, ...
ACM Transactions on the Web 17 (3), 1-27, 2023
Финансирование: National Natural Science Foundation of China
Modeling hierarchical syntax structure with triplet position for source code summarization
J Guo, J Liu, Y Wan, L Li, P Zhou
ACL 2022, 486-500, 2022
Финансирование: National Natural Science Foundation of China
Multi-view factorization machines for mobile app recommendation based on hierarchical attention
T Liang, L Zheng, L Chen, Y Wan, SY Philip, J Wu
Knowledge-Based Systems 187, 104821, 2020
Финансирование: National Natural Science Foundation of China
Scsminer: mining social coding sites for software developer recommendation with relevance propagation
Y Wan, L Chen, G Xu, Z Zhao, J Tang, J Wu
World Wide Web 21, 1523-1543, 2018
Финансирование: Australian Research Council, National Natural Science Foundation of China
Competitive multi-agent deep reinforcement learning with counterfactual thinking
Y Wang, Y Wan, C Zhang, L Bai, L Cui, P Yu
ICDM 2019, 1366-1371, 2019
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Exploiting geographical location for team formation in social coding sites
Y Han, Y Wan, L Chen, G Xu, J Wu
PAKDD 2017, 499-510, 2017
Финансирование: Australian Research Council, National Natural Science Foundation of China
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