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Jian Liang
Jian Liang
Kuaishou Inc.
Verified email at kuaishou.com
Title
Cited by
Cited by
Year
DeepFish: Accurate underwater live fish recognition with a deep architecture
H Qin, X Li, J Liang, Y Peng, C Zhang
Neurocomputing 187, 49-58, 2016
2832016
Causality inspired representation learning for domain generalization
F Lv, J Liang, S Li, B Zang, CH Liu, Z Wang, D Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1622022
Data-driven subtyping of Parkinson’s disease using longitudinal clinical records: a cohort study
X Zhang, J Chou, J Liang, C Xiao, Y Zhao, H Sarva, C Henchcliffe, ...
Scientific reports 9 (1), 797, 2019
1612019
An rnn architecture with dynamic temporal matching for personalized predictions of parkinson's disease
C Che, C Xiao, J Liang, B Jin, J Zho, F Wang
Proceedings of the 2017 SIAM international conference on data mining, 198-206, 2017
1612017
Bi-classifier determinacy maximization for unsupervised domain adaptation
S Li, F Lv, B Xie, CH Liu, J Liang, C Qin
Proceedings of the AAAI conference on artificial intelligence 35 (10), 8455-8464, 2021
1202021
Semantic concentration for domain adaptation
S Li, M Xie, F Lv, CH Liu, J Liang, C Qin, W Li
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1022021
Addressing algorithmic disparity and performance inconsistency in federated learning
S Cui, W Pan, J Liang, C Zhang, F Wang
Advances in Neural Information Processing Systems 34, 26091-26102, 2021
852021
Robust few-shot learning for user-provided data
J Lu, S Jin, J Liang, C Zhang
IEEE transactions on neural networks and learning systems 32 (4), 1433-1447, 2020
602020
Weakly-and semi-supervised object detection with expectation-maximization algorithm
Z Yan, J Liang, W Pan, J Li, C Zhang
arXiv preprint arXiv:1702.08740, 2017
572017
Predicting seizures from electroencephalography recordings: a knowledge transfer strategy
J Liang, R Lu, C Zhang, F Wang
2016 IEEE International Conference on Healthcare Informatics (ICHI), 184-191, 2016
562016
Contrastive graph structure learning via information bottleneck for recommendation
C Wei, J Liang, D Liu, F Wang
Advances in Neural Information Processing Systems 35, 20407-20420, 2022
552022
Why attentions may not be interpretable?
B Bai, J Liang, G Zhang, H Li, K Bai, F Wang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
542021
Hybrid differentially private federated learning on vertically partitioned data
C Wang, J Liang, M Huang, B Bai, K Bai, H Li
arXiv preprint arXiv:2009.02763, 2020
492020
Relation-guided representation learning
Z Kang, X Lu, J Liang, K Bai, Z Xu
Neural Networks 131, 93-102, 2020
472020
Pareto Domain Adaptation
F Lv, J Liang, K Gong, S Li, C Liu, H Li, D Liu, G Wang
Advances in Neural Information Processing Systems 34, 2021
34*2021
General-purpose user embeddings based on mobile app usage
J Zhang, B Bai, Y Lin, J Liang, K Bai, F Wang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
342020
Selection bias explorations and debias methods for natural language sentence matching datasets
G Zhang, B Bai, J Liang, K Bai, S Chang, M Yu, C Zhu, T Zhao
arXiv preprint arXiv:1905.06221, 2019
332019
Two sides of the same coin: White-box and black-box attacks for transfer learning
Y Zhang, Y Song, J Liang, K Bai, Q Yang
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
312020
Leveraging mixed and incomplete outcomes via reduced-rank modeling
C Luo, J Liang, G Li, F Wang, C Zhang, DK Dey, K Chen
Journal of Multivariate Analysis 167, 378-394, 2018
262018
Additive adversarial learning for unbiased authentication
J Liang, Y Cao, C Zhang, S Chang, K Bai, Z Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
232019
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