Yao Wan
Citado por
Citado por
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
Find or classify? dual strategy for slot-value predictions on multi-domain dialog state tracking
JG Zhang, K Hashimoto, CS Wu, Y Wan, PS Yu, R Socher, C Xiong
*SEM 2020, 2019
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
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
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
Syncobert: Syntax-guided multi-modal contrastive pre-training for code representation
X Wang, Y Wang, F Mi, P Zhou, Y Wan, X Liu, L Li, H Wu, J Liu, X Jiang
arXiv preprint arXiv:2108.04556, 2021
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
Discriminative nearest neighbor few-shot intent detection by transferring natural language inference
JG Zhang, K Hashimoto, W Liu, CS Wu, Y Wan, PS Yu, R Socher, C Xiong
EMNLP 2020, 2020
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
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
Local-global knowledge distillation in heterogeneous federated learning with non-iid data
D Yao, W Pan, Y Dai, Y Wan, X Ding, H Jin, Z Xu, L Sun
arXiv preprint arXiv:2107.00051, 2021
Compilable Neural Code Generation with Compiler Feedback
X Wang, Y Wang, Y Wan, F Mi, Y Li, P Zhou, J Liu, H Wu, X Jiang, Q Liu
ACL 2022 (Findings), 2022
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
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training
X Wang, Y Wang, Y Wan, J Wang, P Zhou, L Li, H Wu, J Liu
NAACL 2022 (Findings), 2022
Are pretrained transformers robust in intent classification? a missing ingredient in evaluation of out-of-scope intent detection
JG Zhang, K Hashimoto, Y Wan, Y Liu, C Xiong, PS Yu
Proceedings of the 4th Workshop on NLP for Conversational AI, ACL 2022, 2021
Multi-modal generative adversarial network for short product title generation in mobile e-commerce
JG Zhang, P Zou, Z Li, Y Wan, X Pan, Y Gong, PS Yu
NAACL-HLT 2019, 2019
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
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
J Chen, K Liao, Y Wan, DZ Chen, J Wu
AAAI 2022, 2021
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
Fedhm: Efficient federated learning for heterogeneous models via low-rank factorization
D Yao, W Pan, MJ O'Neill, Y Dai, Y Wan, H Jin, L Sun
arXiv preprint arXiv:2111.14655, 2021
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