Malicious URL detection using machine learning: A survey D Sahoo, C Liu, SCH Hoi arXiv preprint arXiv:1701.07179, 2017 | 428 | 2017 |
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 | 222 | 2016 |
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 | 194 | 2022 |
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 | 147 | 2019 |
Etsformer: Exponential smoothing transformers for time-series forecasting G Woo, C Liu, D Sahoo, A Kumar, S Hoi arXiv preprint arXiv:2202.01381, 2022 | 145 | 2022 |
Dualnet: Continual learning, fast and slow Q Pham, C Liu, S Hoi Advances in Neural Information Processing Systems 34, 16131-16144, 2021 | 140 | 2021 |
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 | 127 | 2020 |
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 | 76 | 2021 |
Efficient room-temperature phosphorescence of covalent organic frameworks through covalent halogen doping E Hamzehpoor, C Ruchlin, Y Tao, CH Liu, HM Titi, DF Perepichka Nature Chemistry 15 (1), 83-90, 2023 | 69 | 2023 |
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 | 59 | 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 | 58 | 2020 |
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 | 57 | 2020 |
Contextual transformation networks for online continual learning Q Pham, C Liu, D Sahoo, HOI Steven International Conference on Learning Representations, 2020 | 57 | 2020 |
Continual normalization: Rethinking batch normalization for online continual learning Q Pham, C Liu, S Hoi arXiv preprint arXiv:2203.16102, 2022 | 52 | 2022 |
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 | 47 | 2019 |
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 | 45 | 2021 |
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 | 44 | 2019 |
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 | 43 | 2017 |
Social recommendation with optimal limited attention X Wang, W Zhu, C Liu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 39 | 2019 |
Interactive social recommendation X Wang, SCH Hoi, C Liu, M Ester Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 36 | 2017 |