| 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 | 85 | 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 arXiv preprint arXiv:1910.03544, 2019 | 44 | 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 arXiv preprint arXiv:1909.13516, 2019 | 22 | 2019 |
| Exploiting geographical location for team formation in social coding sites Y Han, Y Wan, L Chen, G Xu, J Wu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 499-510, 2017 | 13 | 2017 |
| 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 (6), 1523-1543, 2018 | 12 | 2018 |
| Reinforcement-learning-guided source code summarization via hierarchical attention W Wang, Y Zhang, Y Sui, Y Wan, Z Zhao, J Wu, P Yu, G Xu IEEE Transactions on Software Engineering, 2020 | 11 | 2020 |
| 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 | 10 | 2020 |
| Incorporating heterogeneous information for mashup discovery with consistent regularization Y Wan, L Chen, Q Yu, T Liang, J Wu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 436-448, 2016 | 9 | 2016 |
| 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 | 7 | 2019 |
| 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 arXiv preprint arXiv:1904.01735, 2019 | 5 | 2019 |
| Improved dynamic memory network for dialogue act classification with adversarial training Y Wan, W Yan, J Gao, Z Zhao, J Wu, SY Philip 2018 IEEE International Conference on Big Data (Big Data), 841-850, 2018 | 3 | 2018 |
| Exploiting cross-source knowledge for warming up community question answering services Y Wan, G Xu, L Chen, Z Zhao, J Wu Neurocomputing 320, 25-34, 2018 | 3 | 2018 |
| Time-aware API popularity prediction via heterogeneous features Y Wan, L Chen, J Wu, Q Yu 2015 IEEE International Conference on Web Services, 424-431, 2015 | 3 | 2015 |
| 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, 2020 | 2 | 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 arXiv preprint arXiv:2010.13009, 2020 | 1 | 2020 |
| Product title refinement via multi-modal generative adversarial learning J Zhang, P Zou, Z Li, Y Wan, Y Liu, X Pan, Y Gong, PS Yu arXiv preprint arXiv:1811.04498, 2018 | 1 | 2018 |
| Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation Y Liu, Y Wan, JG Zhang, W Zhao, PS Yu arXiv preprint arXiv:2101.08942, 2021 | | 2021 |
| NaturalCC: A Toolkit to Naturalize the Source Code Corpus Y Wan, Y He, JG Zhang, Y Sui, H Jin, G Xu, C Xiong, PS Yu arXiv preprint arXiv:2012.03225, 2020 | | 2020 |
| Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks Y Wang, Z Xu, L Bai, Y Wan, L Cui, Q Zhao, ER Hancock, PS Yu arXiv preprint arXiv:2010.06310, 2020 | | 2020 |
| KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning Y Liu, Y Wan, L He, H Peng, PS Yu arXiv preprint arXiv:2009.12677, 2020 | | 2020 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
