Tung Kieu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Density Ratio Estimation

Multidimensional Time Series

Outlier Detection

Detecting Outliers

Top Venues

Expert Syst. Appl.

Publications

Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. CoRR (2024)
Huy Le, Tung Kieu, Anh Nguyen, Ngan Le
WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. ICASSP (2024)
David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR (2024)
Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
Class-incremental learning with causal relational replay. Expert Syst. Appl. 250 (2024)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR (2023)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data 1 (2) (2023)
Huy Le, Tung Kieu, Anh Nguyen, Ngan Le
WAVER: Writing-style Agnostic Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. CoRR (2023)
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR (2022)
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE (2022)
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. CoRR (2022)
Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. CoRR (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. CoRR (2022)
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. IJCAI (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. ICDE (2022)
Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW (2022)
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. CoRR (2021)
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE (2021)
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. 15 (3) (2021)
Tuong Le, Minh Thanh Vo, Tung Kieu, Eenjun Hwang, Seungmin Rho, Sung Wook Baik
Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building. Sensors 20 (9) (2020)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI (2019)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM (2018)
Tung Kieu, Bin Yang, Christian S. Jensen
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. MDM (2018)
Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le
Mining top-k co-occurrence items with sequential pattern. Expert Syst. Appl. 85 (2017)