| Improving automatic source code summarization via deep reinforcement learning Y Wan, Z Zhao, M Yang, G Xu, H Ying, J Wu, PS Yu Proceedings of the 33rd ACM/IEEE international conference on automated …, 2018 | 267 | 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 The 9th Joint Conference on Lexical and Computational Semantics (*SEM 2020), 2019 | 139 | 2019 |
| Multi-modal attention network learning for semantic source code retrieval Y Wan, J Shu, Y Sui, G Xu, Z Zhao, J Wu, PS Yu Proceedings of the 34th ACM/IEEE International Conference on Automated …, 2019 | 91 | 2019 |
| Kg-bart: Knowledge graph-augmented bart for generative commonsense reasoning Y Liu, Y Wan, L He, H Peng, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6418-6425, 2021 | 77 | 2021 |
| 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 | 58 | 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 The 2020 Conference on Empirical Methods in Natural Language Processing …, 2020 | 51 | 2020 |
| 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 | 41 | 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 | 25 | 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 | 19 | 2020 |
| 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 2019 Annual Conference of the North American Chapter of the Association for …, 2019 | 19 | 2019 |
| 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 | 18 | 2018 |
| Exploiting geographical location for team formation in social coding sites Y Han, Y Wan, L Chen, G Xu, J Wu Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 15 | 2017 |
| 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 | 14 | 2021 |
| Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation Y Liu, Y Wan, JG Zhang, W Zhao, PS Yu EACL 2021, 2021 | 13 | 2021 |
| 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 | 12 | 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 | 12 | 2021 |
| Competitive multi-agent deep reinforcement learning with counterfactual thinking Y Wang, Y Wan, C Zhang, L Bai, L Cui, P Yu 2019 IEEE International Conference on Data Mining (ICDM), 1366-1371, 2019 | 12 | 2019 |
| Incorporating heterogeneous information for mashup discovery with consistent regularization Y Wan, L Chen, Q Yu, T Liang, J Wu Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016 | 12 | 2016 |
| 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 | 11 | 2022 |
| Hetformer: Heterogeneous transformer with sparse attention for long-text extractive summarization Y Liu, JG Zhang, Y Wan, C Xia, L He, PS Yu The 2021 Conference on Empirical Methods in Natural Language Processing …, 2021 | 11 | 2021 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoZweryfikowany adres z cs.uic.edu
