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Chenghao Liu
Chenghao Liu
Salesforce Research Asia
Verified email at salesforce.com
Title
Cited by
Cited by
Year
Malicious URL detection using machine learning: A survey
D Sahoo, C Liu, SCH Hoi
arXiv preprint arXiv:1701.07179, 2017
4572017
Cost: Contrastive learning of disentangled seasonal-trend representations for time series forecasting
G Woo, C Liu, D Sahoo, A Kumar, S Hoi
arXiv preprint arXiv:2202.01575, 2022
2462022
Online arima algorithms for time series prediction
C Liu, SCH Hoi, P Zhao, J Sun
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
2342016
Etsformer: Exponential smoothing transformers for time-series forecasting
G Woo, C Liu, D Sahoo, A Kumar, S Hoi
arXiv preprint arXiv:2202.01381, 2022
1932022
Dualnet: Continual learning, fast and slow
Q Pham, C Liu, S Hoi
Advances in Neural Information Processing Systems 34, 16131-16144, 2021
1602021
Learning cross-modal embeddings with adversarial networks for cooking recipes and food images
H Wang, D Sahoo, C Liu, E Lim, SCH Hoi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1552019
Graph prototypical networks for few-shot learning on attributed networks
K Ding, J Wang, J Li, K Shu, C Liu, H Liu
Proceedings of the 29th ACM International Conference on Information …, 2020
1392020
Relative and absolute location embedding for few-shot node classification on graph
Z Liu, Y Fang, C Liu, SCH Hoi
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4267-4275, 2021
842021
Contextual transformation networks for online continual learning
Q Pham, C Liu, D Sahoo, HOI Steven
International Conference on Learning Representations, 2021
662021
An attribute-aware attentive GCN model for attribute missing in recommendation
F Liu, Z Cheng, L Zhu, C Liu, L Nie
IEEE Transactions on Knowledge and Data Engineering 34 (9), 4077-4088, 2020
63*2020
Mcen: Bridging cross-modal gap between cooking recipes and dish images with latent variable model
H Fu, R Wu, C Liu, J Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
632020
Adaptive task sampling for meta-learning
C Liu, Z Wang, D Sahoo, Y Fang, K Zhang, SCH Hoi
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
622020
Continual normalization: Rethinking batch normalization for online continual learning
Q Pham, C Liu, S Hoi
arXiv preprint arXiv:2203.16102, 2022
582022
Cross-modal food retrieval: learning a joint embedding of food images and recipes with semantic consistency and attention mechanism
H Wang, D Sahoo, C Liu, K Shu, P Achananuparp, E Lim, SCH Hoi
IEEE Transactions on Multimedia 24, 2515-2525, 2021
502021
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization
Y Liu, M Wu, C Liu, XL Li, J Zheng
IEEE/ACM transactions on computational biology and bioinformatics 17 (3 …, 2019
482019
Multi-level network embedding with boosted low-rank matrix approximation
J Li, L Wu, R Guo, C Liu, H Liu
Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019
472019
Collaborative topic regression for online recommender systems: an online and Bayesian approach
C Liu, T Jin, SCH Hoi, P Zhao, J Sun
Machine Learning 106, 651-670, 2017
452017
Learning fast and slow for online time series forecasting
Q Pham, C Liu, D Sahoo, SCH Hoi
arXiv preprint arXiv:2202.11672, 2022
412022
Social recommendation with optimal limited attention
X Wang, W Zhu, C Liu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
392019
Interactive social recommendation
X Wang, SCH Hoi, C Liu, M Ester
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
372017
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