Xinyue Liu
Xinyue Liu
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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
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
Enhance robustness of sequence labelling with masked adversarial training
L Chen, X Liu, W Ruan, J Lu
Findings of the Association for Computational Linguistics: EMNLP 2020, 297-302, 2020
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
Active Opinion Maximization in Social Networks
X Liu, X Kong, SY Philip
2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018
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
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
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
Signed distance-based deep memory recommender
T Tran, X Liu, K Lee, X Kong
The world wide web conference, 1841-1852, 2019
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
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
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
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
Competitive opinion maximization in social networks
J Luo, X Liu, X Kong
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 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
Collective Discovery of Brain Networks with Unknown Groups
X Liu, X Kong, PS Yu
2017 International Joint Conference on Neural Networks, 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
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
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
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
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