| Seqvat: Virtual adversarial training for semi-supervised sequence labeling L Chen, W Ruan, X Liu, J Lu Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 121 | 2020 |
| Enhance robustness of sequence labelling with masked adversarial training L Chen, X Liu, W Ruan, J Lu | 63 | 2020 |
| Kernelized matrix factorization for collaborative filtering X Liu, C Aggarwal, YF Li, X Kong, X Sun, S Sathe Proceedings of the 2016 SIAM international conference on data mining, 378-386, 2016 | 63 | 2016 |
| ASR N-Best Fusion Nets X Liu, M Li, L Chen, P Wanigasekara, W Ruan, H Khan, W Hamza, C Su, ... IEEE International Conference on Acoustics, Speech and Signal Processing, 2021 | 52 | 2021 |
| TreeGAN: syntax-aware sequence generation with generative adversarial networks X Liu, X Kong, L Liu, K Chiang 2018 IEEE International Conference on Data Mining (ICDM), 1140-1145, 2018 | 33 | 2018 |
| Active Opinion Maximization in Social Networks X Liu, X Kong, SY Philip 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018 | 32 | 2018 |
| Signed distance-based deep memory recommender T Tran, X Liu, K Lee, X Kong The world wide web conference, 1841-1852, 2019 | 26 | 2019 |
| Improving spoken language understanding by exploiting asr n-best hypotheses M Li, W Ruan, X Liu, L Soldaini, W Hamza, C Su arXiv preprint arXiv:2001.05284, 2020 | 24 | 2020 |
| Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media X Liu, X Kong, Y Li International Conference on Informationand Knowledge Management (CIKM'16), 2016 | 24 | 2016 |
| Bicycle: Item recommendation with life cycles X Liu, Y Song, C Aggarwal, Y Zhang, X Kong 2017 IEEE International Conference on Data Mining (ICDM), 297-306, 2017 | 10 | 2017 |
| Unified and Contrasting Graphical Lasso for Brain Network Discovery X Liu, X Kong, AB Ragin Proceedings of the 2017 SIAM International Conference on Data Mining, 2017 | 8 | 2017 |
| Gaussian mixture graphical lasso with application to edge detection in brain networks H Yin, X Liu, X Kong 2020 IEEE International Conference on Big Data (Big Data), 1430-1435, 2020 | 7 | 2020 |
| Multi-task learning of spoken language understanding by integrating n-best hypotheses with hierarchical attention M Li, X Liu, W Ruan, L Soldaini, W Hamza, C Su Proceedings of the 28th International Conference on Computational …, 2020 | 7 | 2020 |
| Competitive opinion maximization in social networks J Luo, X Liu, X Kong Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 6 | 2019 |
| Coherent graphical lasso for brain network discovery H Yin, X Kong, X Liu 2018 IEEE International Conference on Data Mining (ICDM), 1392-1397, 2018 | 6 | 2018 |
| Collective Discovery of Brain Networks with Unknown Groups X Liu, X Kong, PS Yu 2017 International Joint Conference on Neural Networks, 2017 | 5 | 2017 |
| Recurrent networks for guided multi-attention classification X Dai, X Kong, T Guo, JB Lee, X Liu, C Moore Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 4 | 2020 |
| Code2text: Dual attention syntax annotation networks for structure-aware code translation Y Xiong, S Xu, K Rong, X Liu, X Kong, S Li, P Yu, Y Zhu Database Systems for Advanced Applications: 25th International Conference …, 2020 | 4 | 2020 |
| Kernel-based feature extraction for collaborative filtering S Sathe, CC Aggarwal, X Kong, X Liu 2017 IEEE International Conference on Data Mining (ICDM), 1057-1062, 2017 | 4 | 2017 |
| Multimodal context carryover P Wanigasekara, N Gupta, F Yang, E Barut, Z Raeesy, K Qin, S Rawls, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 3 | 2022 |
Xiangnan KongWorcester Polytechnic InstitutePatvirtintas el. paštas wpi.edu