Qi Liu
Cited by
Cited by
Constrained Graph Variational Autoencoders for Molecule Design
Q Liu, M Allamanis, M Brockschmidt, AL Gaunt
Neural Information Processing Systems, 2018
Quaternion Knowledge Graph Embedding
S Zhang, Y Tay, L Yao, Q Liu
Neural Information Processing Systems, 2019
Sentence-State LSTM for Text Representation
Y Zhang, Q Liu, L Song
56th Annual Meeting of the Association for Computational Linguistics, 2018
Hyperbolic Graph Neural Networks
Q Liu, M Nickel, D Kiela
Neural Information Processing Systems, 2019
A survey on contextual embeddings
Q Liu, MJ Kusner, P Blunsom
arXiv preprint arXiv:2003.07278, 2020
Unsupervised Point Cloud Pre-Training via View-Point Occlusion, Completion
H Wang, Q Liu, X Yue, J Lasenby, MJ Kusner
International Conference on Computer Vision, 2020
EtherQL: a query layer for blockchain system
Y Li, K Zheng, Y Yan, Q Liu, X Zhou
Database Systems for Advanced Applications: 22nd International Conference …, 2017
Fusion of magnetic and visual sensors for indoor localization: Infrastructure-free and more effective
Z Liu, L Zhang, Q Liu, Y Yin, L Cheng, R Zimmermann
IEEE Transactions on Multimedia 19 (4), 874-888, 2016
Smart Contract Vulnerability Detection Using Graph Neural Networks
Y Zhuang, Z Liu, P Qian, Q Liu, X Wang, Q He
International Joint Conferences on Artificial Intelligence, 2020
Insertion-based decoding with automatically inferred generation order
J Gu, Q Liu, K Cho
Transactions of the Association for Computational Linguistics, 2019
Behavior pattern clustering in blockchain networks
B Huang, Z Liu, J Chen, A Liu, Q Liu, Q He
Multimedia Tools and Applications 76, 20099-20110, 2017
Towards natural and accurate future motion prediction of humans and animals
Z Liu, S Wu, S Jin, Q Liu, S Lu, R Zimmermann, L Cheng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Multi-task self-supervised learning for disfluency detection
S Wang, W Che, Q Liu, P Qin, T Liu, WY Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9193-9200, 2020
Learning domain representation for multi-domain sentiment classification
Q Liu, Y Zhang, J Liu
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Investigating pose representations and motion contexts modeling for 3D motion prediction
Z Liu, S Wu, S Jin, S Ji, Q Liu, S Lu, L Cheng
IEEE transactions on pattern analysis and machine intelligence 45 (1), 681-697, 2022
Causal machine learning: A survey and open problems
J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva
arXiv preprint arXiv:2206.15475, 2022
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
Q Liu, L Yu, L Rimell, P Blunsom
Transactions of the Association for Computational Linguistics, 2021
Counterfactual data augmentation for neural machine translation
Q Liu, M Kusner, P Blunsom
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
Causal effect inference for structured treatments
J Kaddour, Y Zhu, Q Liu, MJ Kusner, R Silva
Advances in Neural Information Processing Systems 34, 24841-24854, 2021
Qalink: enriching text documents with relevant Q&A site contents
Y Tang, W Huang, Q Liu, AKH Tung, X Wang, J Yang, B Zhang
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
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