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ORCIDTung Kieu
2020 – today
- 2024
[j8]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: 123901 (2024)- [j7]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proc. VLDB Endow. 17(11): 2708-2721 (2024) - [j6]Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen:
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. Proc. VLDB Endow. 17(11): 2893-2905 (2024) - [j5]Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le:
TEAM: Topological Evolution-aware Framework for Traffic Forecasting. Proc. VLDB Endow. 18(2): 265-278 (2024) - [c10]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: 3025-3029 - [i10]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 abs/2404.13990 (2024) - [i9]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 abs/2407.06881 (2024) - [i8]Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le:
TEAM: Topological Evolution-aware Framework for Traffic Forecasting-Extended Version. CoRR abs/2410.19192 (2024) - 2023
- [j4]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): 171:1-171:27 (2023) - [i7]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 abs/2302.12721 (2023) - [i6]Huy Le, Tung Kieu, Anh Nguyen, Ngan Le:
WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. CoRR abs/2312.09507 (2023) - 2022
- [c9]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: 1342-1354 - [c8]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE 2022: 2900-2913 - [c7]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: 3038-3050 - [c6]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: 1994-2001 - [c5]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: 1933-1943 - [i5]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR abs/2203.15737 (2022) - [i4]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 abs/2204.03341 (2022) - [i3]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 abs/2204.13767 (2022) - [i2]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 abs/2209.04635 (2022) - 2021
- [j3]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): 611-623 (2021) - [c4]Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan:
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE 2021: 1739-1750 - [i1]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 abs/2111.11108 (2021) - 2020
- [j2]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): 2668 (2020)
2010 – 2019
- 2019
- [c3]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI 2019: 2725-2732 - 2018
- [c2]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM 2018: 863-872 - [c1]Tung Kieu, Bin Yang, Christian S. Jensen:
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. MDM 2018: 125-134 - 2017
- [j1]Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le:
Mining top-k co-occurrence items with sequential pattern. Expert Syst. Appl. 85: 123-133 (2017)
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