Mining top-k co-occurrence items with sequential pattern. - Tung Kieu; Bay Vo; Tuong Le; Zhi-Hong Deng 001; Bac Le (Expert Syst. Appl., 2017)

Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (CIKM, 2018)

Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. - Tung Kieu; Bin Yang 002; Christian S. Jensen (MDM, 2018)

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (IJCAI, 2019)

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)

EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. - Razvan-Gabriel Cirstea; Tung Kieu; Chenjuan Guo; Bin Yang 002; Sinno Jialin Pan (ICDE, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (CoRR, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2021)

Towards Spatio- Temporal Aware Traffic Time Series Forecasting. - Razvan-Gabriel Cirstea; Bin Yang 002; Chenjuan Guo; Tung Kieu; Shirui Pan (ICDE, 2022)

Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Razvan-Gabriel Cirstea; Yan Zhao 008; Yale Song; Christian S. Jensen (ICDE, 2022)

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Yan Zhao 008; Feiteng Huang; Kai Zheng 001 (ICDE, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (IJCAI, 2022)

Outlier Detection for Streaming Task Assignment in Crowdsourcing. - Yan Zhao 008; Xuanhao Chen 001; Liwei Deng 001; Tung Kieu; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (WWW, 2022)

Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Bin Yang 002; Chenjuan Guo; Tung Kieu; Shirui Pan (CoRR, 2022)

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Yan Zhao 008; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (CoRR, 2022)

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. - Yan Zhao 008; Liwei Deng 001; Xuanhao Chen 001; Chenjuan Guo; Bin Yang 002; Tung Kieu; Feiteng Huang; Torben Bach Pedersen; Kai Zheng 001; Christian S. Jensen (CoRR, 2022)

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. - David Campos 002; Miao Zhang; Bin Yang 002; Tung Kieu; Chenjuan Guo; Christian S. Jensen (CoRR, 2023)

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. - David Campos 002; Miao Zhang; Bin Yang 002; Tung Kieu; Chenjuan Guo; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. - Huy Le; Tung Kieu; Anh Nguyen 003; Ngan Le (ICASSP, 2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. - David Campos 002; Bin Yang 002; Tung Kieu; Miao Zhang; Chenjuan Guo; Christian S. Jensen (CoRR, 2024)

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. - Chenjuan Guo; Ronghui Xu 001; Bin Yang 002; Ye Yuan; Tung Kieu; Yan Zhao 008; Christian S. Jensen (CoRR, 2024)

TEAM: Topological Evolution-aware Framework for Traffic Forecasting-Extended Version. - Duc Kieu; Tung Kieu; Peng Han 005; Bin Yang 002; Christian S. Jensen; Bac Le (CoRR, 2024)

Class-incremental learning with causal relational replay. - Toan Nguyen 004; Duc Kieu; Bao Duong; Tung Kieu; Kien Do; Thin Nguyen; Bac Le (Expert Syst. Appl., 2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. - David Campos 002; Bin Yang 002; Tung Kieu; Miao Zhang; Chenjuan Guo; Christian S. Jensen (Proc. VLDB Endow., 2024)

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. - Chenjuan Guo; Ronghui Xu 001; Bin Yang 002; Yuan Ye; Tung Kieu; Yan Zhao 008; Christian S. Jensen (Proc. VLDB Endow., 2024)

TEAM: Topological Evolution-aware Framework for Traffic Forecasting. - Duc Kieu; Tung Kieu; Peng Han 005; Bin Yang 002; Christian S. Jensen; Bac Le (Proc. VLDB Endow., 2024)

BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance. - Huy Le; Nhat Chung; Tung Kieu; Anh Nguyen 003; Ngan Le (CoRR, 2025)

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts-Extended Version. - Nghiem Thanh Pham; Tung Kieu; Duc-Manh Nguyen; Ha Xuan Son; Nghia Duong-Trung; Danh Le Phuoc (CoRR, 2025)