Lizhen Qu
Cited by
Cited by
Making deep neural networks robust to label noise: A loss correction approach
G Patrini, A Rozza, A Krishna Menon, R Nock, L Qu
Proceedings of the IEEE conference on computer vision and pattern …, 2017
The bag-of-opinions method for review rating prediction from sparse text patterns
L Qu, G Ifrim, G Weikum
Proceedings of the 23rd international conference on computational …, 2010
Stranse: a novel embedding model of entities and relationships in knowledge bases
DQ Nguyen, K Sirts, L Qu, M Johnson
arXiv preprint arXiv:1606.08140, 2016
Timely yago: harvesting, querying, and visualizing temporal knowledge from wikipedia
Y Wang, M Zhu, L Qu, M Spaniol, G Weikum
Proceedings of the 13th international conference on extending database …, 2010
Automatic generation of grounded visual questions
S Zhang, L Qu, S You, Z Yang, J Zhang
arXiv preprint arXiv:1612.06530, 2016
CD-VulD: Cross-domain vulnerability discovery based on deep domain adaptation
S Liu, G Lin, L Qu, J Zhang, O De Vel, P Montague, Y Xiang
IEEE Transactions on Dependable and Secure Computing 19 (1), 438-451, 2020
Harvesting facts from textual web sources by constrained label propagation
Y Wang, B Yang, L Qu, M Spaniol, G Weikum
Proceedings of the 20th ACM international conference on Information and …, 2011
Chord2vec: Learning musical chord embeddings
S Madjiheurem, L Qu, C Walder
Proceedings of the constructive machine learning workshop at 30th conference …, 2016
Neighborhood mixture model for knowledge base completion
DQ Nguyen, K Sirts, L Qu, M Johnson
arXiv preprint arXiv:1606.06461, 2016
Learning object-language alignments for open-vocabulary object detection
C Lin, P Sun, Y Jiang, P Luo, L Qu, G Haffari, Z Yuan, J Cai
International Conference on Learning Representations (ICLR), 2022
Named entity recognition for novel types by transfer learning
L Qu, G Ferraro, L Zhou, W Hou, T Baldwin
arXiv preprint arXiv:1610.09914, 2016
Maximal divergence sequential auto-encoder for binary software vulnerability detection
T Le, TV Nguyen, T Le, D Phung, P Montague, O De Vel, L Qu
International Conference on Learning Representations 2019, 2019
Demographic inference on twitter using recursive neural networks
S Mac Kim, Q Xu, L Qu, S Wan, C Paris
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Fedpetuning: When federated learning meets the parameter-efficient tuning methods of pre-trained language models
Z Zhang, Y Yang, Y Dai, Q Wang, Y Yu, L Qu, Z Xu
Annual Meeting of the Association of Computational Linguistics 2023, 9963-9977, 2023
Big data small data, in domain out-of domain, known word unknown word: The impact of word representation on sequence labelling tasks
L Qu, G Ferraro, L Zhou, W Hou, N Schneider, T Baldwin
arXiv preprint arXiv:1504.05319, 2015
Deep domain adaptation for vulnerable code function identification
V Nguyen, T Le, T Le, K Nguyen, O DeVel, P Montague, L Qu, D Phung
2019 international joint conference on neural networks (IJCNN), 1-8, 2019
Adhering, steering, and queering: Treatment of gender in natural language generation
Y Strengers, L Qu, Q Xu, J Knibbe
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020
Easy-to-deploy API extraction by multi-level feature embedding and transfer learning
S Ma, Z Xing, C Chen, C Chen, L Qu, G Li
IEEE Transactions on Software Engineering 47 (10), 2296-2311, 2019
A weakly supervised model for sentence-level semantic orientation analysis with multiple experts
L Qu, R Gemulla, G Weikum
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
Privacy-aware text rewriting
Q Xu, L Qu, C Xu, R Cui
Proceedings of the 12th International Conference on Natural Language …, 2019
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