Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. T Kieu, B Yang, C Guo, CS Jensen Proceeding of the 28th International Joint Conference on Artificial …, 2019 | 296 | 2019 |
Outlier Detection for Multidimensional Time Series using Deep Neural Networks T Kieu, B Yang, CS Jensen Proceeding of the 19th IEEE International Conference on Mobile Data …, 2018 | 219 | 2018 |
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Extended Version RG Cirstea, C Guo, B Yang, T Kieu, X Dong, S Pan arXiv preprint arXiv:2204.13767, 2022 | 85 | 2022 |
Multiple Electric Energy Consumption Forecasting using a Cluster-based Ttrategy for Transfer Learning in Smart Building T Le, MT Vo, T Kieu, E Hwang, S Rho, SW Baik Sensors 20 (9), 2668, 2020 | 72 | 2020 |
Towards Spatio-Temporal Aware Traffic Time Series Forecasting RG Cirstea, B Yang, C Guo, T Kieu, S Pan Proceeding of the 38th IEEE International Conference on Data Engineering (ICDE), 2022 | 61 | 2022 |
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories T Kieu, B Yang, C Guo, CS Jensen Proceedings of the 27th ACM International Conference on Information and …, 2018 | 58 | 2018 |
Enhancenet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting RG Cirstea, T Kieu, C Guo, B Yang, SJ Pan Proceeding of the 37th IEEE International Conference on Data Engineering …, 2021 | 50 | 2021 |
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders T Kieu, B Yang, C Guo, RG Cirstea, Y Zhao, Y Song, CS Jensen Proceeding of the 38th IEEE International Conference on Data Engineering (ICDE), 2022 | 42 | 2022 |
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection T Kieu, B Yang, C Guo, CS Jensen, Y Zhao, F Huang, K Zheng Proceeding of the 38th IEEE International Conference on Data Engineering …, 2022 | 40 | 2022 |
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles--Extended Version D Campos, T Kieu, C Guo, F Huang, K Zheng, B Yang, CS Jensen arXiv preprint arXiv:2111.11108, 2021 | 40 | 2021 |
Mining Top-k Co-occurrence Items with Sequential Pattern T Kieu, B Vo, T Le, ZH Deng, B Le Expert Systems with Applications 85, 123-133, 2017 | 38 | 2017 |
Outlier Detection for Streaming Task Assignment in Crowdsourcing Y Zhao, X Chen, L Deng, T Kieu, C Guo, B Yang, K Zheng, CS Jensen Proceeding of the 31st Web Conference (WWW), 2022 | 19 | 2022 |
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation D Campos, M Zhang, B Yang, T Kieu, C Guo, CS Jensen Proceeding of the 49th ACM International Conference on Management of Data …, 2023 | 16 | 2023 |
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis--Extended Version Y Zhao, L Deng, X Chen, C Guo, B Yang, T Kieu, F Huang, TB Pedersen, ... arXiv preprint arXiv:2209.04635, 2022 | 10 | 2022 |
Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Extended Version RG Cirstea, B Yang, C Guo, T Kieu, S Pan arXiv preprint arXiv:2203.15737, 2022 | 7 | 2022 |
WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge H Le, T Kieu, A Nguyen, N Le Proceeding of the 49th IEEE International Conference on Acoustics, Speech …, 2024 | 1 | 2024 |
MDM 2019 T Cunningham, L Su, Y Liang, T Kieu, RG Cirstea, J Hu, S Steuer, ... | 1 | |
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models--Extended Version D Campos, B Yang, T Kieu, M Zhang, C Guo, CS Jensen arXiv preprint arXiv:2404.13990, 2024 | | 2024 |
Class-incremental Learning with Causal Relational Replay T Nguyen, D Kieu, B Duong, T Kieu, K Do, T Nguyen, B Le Expert Systems with Applications, 123901, 2024 | | 2024 |
WAVER: Writing-style Agnostic Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge--Extended Version H Le, T Kieu, A Nguyen, N Le arXiv preprint arXiv:2312.09507, 2023 | | 2023 |