| Malicious URL detection using machine learning: A survey D Sahoo, C Liu, SCH Hoi arXiv preprint arXiv:1701.07179, 2017 | 486 | 2017 |
| 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 | 306 | 2022 |
| Etsformer: Exponential smoothing transformers for time-series forecasting G Woo, C Liu, D Sahoo, A Kumar, S Hoi arXiv preprint arXiv:2202.01381, 2022 | 253 | 2022 |
| 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 | 248 | 2016 |
| Dualnet: Continual learning, fast and slow Q Pham, C Liu, S Hoi Advances in Neural Information Processing Systems 34, 16131-16144, 2021 | 185 | 2021 |
| 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 | 165 | 2019 |
| 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 | 164 | 2020 |
| 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 | 115 | 2024 |
| 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 | 91 | 2021 |
| 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 | 71 | 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 | 68 | 2020 |
| Continual normalization: Rethinking batch normalization for online continual learning Q Pham, C Liu, S Hoi arXiv preprint arXiv:2203.16102, 2022 | 67 | 2022 |
| Contextual transformation networks for online continual learning Q Pham, C Liu, D Sahoo, HOI Steven International Conference on Learning Representations, 2021 | 66 | 2021 |
| 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 | 58 | 2023 |
| 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 | 58 | 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 | 54 | 2019 |
| Learning fast and slow for online time series forecasting Q Pham, C Liu, D Sahoo, SCH Hoi arXiv preprint arXiv:2202.11672, 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 |
| 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 | 47 | 2017 |
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMU確認したメール アドレス: smu.edu.sg