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Chenghao Liu
Chenghao Liu
Salesforce Research Asia
Dirección de correo verificada de salesforce.com
Título
Citado por
Citado por
Año
Malicious URL detection using machine learning: A survey
D Sahoo, C Liu, SCH Hoi
arXiv preprint arXiv:1701.07179, 2017
4862017
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
3082022
Etsformer: Exponential smoothing transformers for time-series forecasting
G Woo, C Liu, D Sahoo, A Kumar, S Hoi
arXiv preprint arXiv:2202.01381, 2022
2552022
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
2482016
Dualnet: Continual learning, fast and slow
Q Pham, C Liu, S Hoi
Advances in Neural Information Processing Systems 34, 16131-16144, 2021
1882021
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
1662020
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
1662019
Unified training of universal time series forecasting transformers
G Woo, C Liu, A Kumar, C Xiong, S Savarese, D Sahoo
arXiv preprint arXiv:2402.02592, 2024
1152024
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
922021
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
73*2020
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
712020
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
692020
Continual normalization: Rethinking batch normalization for online continual learning
Q Pham, C Liu, S Hoi
arXiv preprint arXiv:2203.16102, 2022
682022
Contextual transformation networks for online continual learning
Q Pham, C Liu, D Sahoo, HOI Steven
International Conference on Learning Representations, 2021
662021
Hinormer: Representation learning on heterogeneous information networks with graph transformer
Q Mao, Z Liu, C Liu, J Sun
Proceedings of the ACM Web Conference 2023, 599-610, 2023
592023
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
592021
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
542019
Learning fast and slow for online time series forecasting
Q Pham, C Liu, D Sahoo, SCH Hoi
arXiv preprint arXiv:2202.11672, 2022
522022
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
472017
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