Tung Kieu

According to our database, Tung Kieu authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks.

Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen

Proc. VLDB Endow., July, 2024

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models.

David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen

Proc. VLDB Endow., July, 2024

Class-incremental learning with causal relational replay.

Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le

Expert Syst. Appl., 2024

TEAM: Topological Evolution-aware Framework for Traffic Forecasting-Extended Version.

Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le

CoRR, 2024

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version.

Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen

CoRR, 2024

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version.

David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen

CoRR, 2024

WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge.

Huy Le, Tung Kieu, Anh Nguyen, Ngan Le

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation.

David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen

Proc. ACM Manag. Data, 2023

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version.

David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen

CoRR, 2023

2022

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis.

Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen

CoRR, 2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version.

Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan

CoRR, 2022

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version.

Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng

CoRR, 2022

Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version.

Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan

CoRR, 2022

Outlier Detection for Streaming Task Assignment in Crowdsourcing.

Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting.

Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection.

Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders.

Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Towards Spatio- Temporal Aware Traffic Time Series Forecasting.

Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles.

David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., 2021

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version.

David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen

CoRR, 2021

EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting.

Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building.

Tuong Le, Minh Thanh Vo, Tung Kieu, Eenjun Hwang, Seungmin Rho, Sung Wook Baik

Sensors, 2020

2019

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles.

Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Outlier Detection for Multidimensional Time Series Using Deep Neural Networks.

Tung Kieu, Bin Yang, Christian S. Jensen

Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories.

Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Mining top-k co-occurrence items with sequential pattern.

Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le

Expert Syst. Appl., 2017