Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, and Thin Nguyen. Universal Multi-Domain Translation via Diffusion Routers. Proceedings of the International on Learning Representations (ICLR), 2026, [CORE A*]
Taisei Hanyu, Nhat Chung, Huy Le, Toan Nguyen, Yuki Ikebe, Anthony Gunderman, Duy Nguyen Ho Minh, Khoa Vo, Tung Kieu, Kashu Yamazaki, Chase Rainwater, Anh Nguyen, Ngan Le. SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2026, [CORE A*]
Huy Le, Nhat Chung, Tung Kieu, Jingkang Yang, and Ngan Le. UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026, [CORE A]
Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, and Ngan Le. Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective. Proceedings of the Annual AAAI Conference on Artificial Intelligence (AAAI), 2026, [CORE A*]
Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, and Bin Yang. An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2026, [CORE A*]
Nghiem Thanh Pham, Tung Kieu, Duc-Manh Nguyen, Son Ha Xuan, Nghia Duong-Trung, and Danh Le-Phuoc. SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impact. Proceedings of the International Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025, [CORE A*]
Huy Le, Nhat Chung, Tung Kieu, Anh Nguyen, and Ngan Le. BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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. Proceedings of the 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
Taisei Hanyu, Nhat Chung, Huy Le, Toan Nguyen, Yuki Ikebe, Anthony Gunderman, Duy Nguyen Ho Minh, Khoa Vo, Tung Kieu, Kashu Yamazaki, Chase Rainwater, Anh Nguyen, Ngan Le. SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation–Extended Version
Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, and Ngan Le. Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective–Extended Version
Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, and Bin Yang. An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data–Extended Version
Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, and Thin Nguyen. Universal Multi-Domain Translation via Diffusion Routers–Extended Version
Huy Le, Nhat Chung, Tung Kieu, Jingkang Yang, and Ngan Le. UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning–Extended Version
Nghiem Thanh Pham, Tung Kieu, Duc-Manh Nguyen, Son Ha Xuan, Nghia Duong-Trung, and Danh Le-Phuoc. SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impact–Extended Version
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–Extended Version