Huy Le, Nhat Chung, Tung Kieu, Anh Nguyen, and Ngan Le. BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance. ACM International Conference on Multimedia—MM 2025 (CORE A*)
Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, and Bac Le. TEAM: Topological Evolution-aware Framework for Traffic Forecasting. International Conference on Very Large Data Bases—VLDB 2025 (CORE A*)
David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, and Christian S. Jensen. QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. International Conference on Very Large Data Bases—VLDB 2024 (CORE A*)
Chenjuan Guo, Ronghui Xu, Yuan Ye, Bin Yang, Tung Kieu, Yan Zhao, and Christian S. Jensen. Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. International Conference on Very Large Data Bases—VLDB 2024 (CORE A*)
Huy Le, Tung Kieu, Anh Nguyen, and Ngan Le. WAVER: Writing-style Agnostic Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. IEEE International Conference on Acoustics, Speech, and Signal Processing—ICASSP 2024 (CORE A)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, and Christian S. Jensen. LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. ACM International Conference on Management of Data—SIGMOD 2023 (CORE A*)
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Xuanyi Dong, Shirui Pan, and Bin Yang. Triformer: Triangular, Variable-Specific Attention for Long Sequence Multivariate Time Series Forecasting. International Joint Conference on Artificial Intelligence—IJCAI 2022 (CORE A*)
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Shirui Pan, and Bin Yang. Towards Spatio-Temporal Aware Traffic Time Series Forecasting. IEEE International Conference on Data Engineering—ICDE 2022 (CORE A*)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, and Kai Zheng. Robust and Explainable Autoencoders for Time Series Outlier Detection. IEEE International Conference on Data Engineering—ICDE 2022 (CORE A*).
Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, and Christian S. Jensen. Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. IEEE International Conference on Data Engineering—ICDE 2022 (CORE A*)
Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, and Christian S. Jensen. Outlier Detection for Streaming Task Assignment in Crowdsourcing. ACM The Web Conference—WWW 2022 (CORE A*).
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, and Christian S. Jensen. Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. International Conference on Very Large Data Bases—VLDB 2022 (CORE A*)
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, and Sinno Jialin Pan. EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. IEEE International Conference on Data Engineering—ICDE 2021 (CORE A*).
Tung Kieu, Bin Yang, Chenjuan Guo, and Christian S. Jensen. Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. International Joint Conference on Artificial Intelligence—IJCAI 2019 (CORE A*)
Tung Kieu, Bin Yang, Chenjuan Guo, and Christian S. Jensen. Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. ACM International Conference on Information and Knowledge Management—CIKM 2018 (CORE A)
Tung Kieu, Bin Yang, and Christian S. Jensen. Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. IEEE International Conference on Mobile Data Management—MDM 2018 (CORE B)
Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, and Bac Le. Class-incremental Learning with Causal Relational Replay. Expert Syst. Appl. 250 2024
Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, and Bac Le. Mining Top-k Co-occurrence Items with Sequential Pattern. Expert Syst. Appl. 85 2017
Huy Le, Nhat Chung, Tung Kieu, Anh Nguyen, and Ngan Le. BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance–Extended Version.
Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, and Bac Le. TEAM: Topological Evolution-aware Framework for Traffic Forecasting–Extended Version
Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, and Christian S. Jensen. Efficient Stochastic Routing in Path-Centric Uncertain Road Networks–Extended Version
David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, and Christian S. Jensen. QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models–Extended Version
Huy Le, Tung Kieu, Anh Nguyen, and Ngan Le. WAVER: Writing-style Agnostic Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge–Extended Version
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, and Christian S. Jensen. LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation–Extended Version
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, and Kai Zheng. Robust and Explainable Autoencoders for Time Series Outlier Detection–Extended Version
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Xuanyi Dong, Shirui Pan, and Bin Yang. Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting–Extended Version
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Shirui Pan, and Bin Yang. Towards Spatio-Temporal Aware Traffic Time Series Forecasting–Extended Version
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, and Christian S. Jensen. Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles–Extended Version
Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, and Christian S. Jensen. A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis