| Malicious URL detection using machine learning: A survey D Sahoo, C Liu, SCH Hoi arXiv preprint arXiv:1701.07179, 2017 | 564 | 2017 |
| Etsformer: Exponential smoothing transformers for time-series forecasting G Woo, C Liu, D Sahoo, A Kumar, S Hoi arXiv preprint arXiv:2202.01381, 2022 | 499 | 2022 |
| 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 | 472 | 2022 |
| Unified training of universal time series forecasting transformers G Woo, C Liu, A Kumar, C Xiong, S Savarese, D Sahoo PMLR 235, 53140, 2024 | 442 | 2024 |
| 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 | 300 | 2016 |
| Dualnet: Continual learning, fast and slow Q Pham, C Liu, S Hoi Advances in Neural Information Processing Systems 34, 16131-16144, 2021 | 274 | 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 | 215 | 2020 |
| 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 | 182 | 2019 |
| A survey on diffusion models for time series and spatio-temporal data Y Yang, M Jin, H Wen, C Zhang, Y Liang, L Ma, Y Wang, C Liu, B Yang, ... ACM Computing Surveys, 2024 | 127 | 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 | 118 | 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 | 116 | 2023 |
| Learning fast and slow for online time series forecasting Q Pham, C Liu, D Sahoo, SCH Hoi arXiv preprint arXiv:2202.11672, 2022 | 98 | 2022 |
| 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 | 90 | 2020 |
| Continual normalization: Rethinking batch normalization for online continual learning Q Pham, C Liu, S Hoi arXiv preprint arXiv:2203.16102, 2022 | 84 | 2022 |
| 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 | 79 | 2020 |
| Moirai-moe: Empowering time series foundation models with sparse mixture of experts X Liu, J Liu, G Woo, T Aksu, Y Liang, R Zimmermann, C Liu, S Savarese, ... arXiv preprint arXiv:2410.10469, 2024 | 78 | 2024 |
| Adaptive task sampling for meta-learning C Liu, Z Wang, D Sahoo, Y Fang, K Zhang, SCH Hoi European Conference on Computer Vision, 752-769, 2020 | 77 | 2020 |
| Contextual transformation networks for online continual learning Q Pham, C Liu, D Sahoo, S Hoi International Conference on Learning Representations, 2021 | 75 | 2021 |
| 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 | 73 | 2021 |
| Gift-eval: A benchmark for general time series forecasting model evaluation T Aksu, G Woo, J Liu, X Liu, C Liu, S Savarese, C Xiong, D Sahoo arXiv preprint arXiv:2410.10393, 2024 | 69 | 2024 |
Steven C.H. HoiVP of Alibaba Group; ex-VP of Salesforce; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg
