| 2026 | AAAI | Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective. | Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, Ngan Le |
| 2026 | ACIIDS | Secure Semantic Communications with Adversarial Training and Active Eavesdropper. | Quang-Tinh Thai, Toan-Van Nguyen, Trung-Nghia Nguyen, Tung Kieu, Phuong Luu Vo |
| 2026 | ACL | FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation. | Dat Nguyen-Cong, Tung Kieu, Hoang Thanh-Tung |
| 2026 | ICDE | An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data. | Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, Bin Yang |
| 2026 | ISKE | Multi-domain Time Series Reconstruction with Frequency-Enhanced Transformers. | Khanh Trang Duong, Phuong Luu Vo, Tung Kieu, Duc Ngoc Minh Dang |
| 2026 | WACV | UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning. | Huy Le, Nhat Chung, Tung Kieu, Jingkang Yang, Ngan Le |
| 2025 | EMNLP | SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts. | Nghiem Thanh Pham, Tung Kieu, Duc-Manh Nguyen, Ha Xuan Son, Nghia Duong-Trung, Danh Le Phuoc |
| 2024 | ICASSP | WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. | Huy Le, Tung Kieu, Anh Nguyen, Ngan Le |
| 2022 | ICDE | Towards Spatio- Temporal Aware Traffic Time Series Forecasting. | Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan |
| 2022 | ICDE | Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. | Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen |
| 2022 | ICDE | Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. | Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng |
| 2022 | IJCAI | Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. | Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan |
| 2022 | WWW | Outlier Detection for Streaming Task Assignment in Crowdsourcing. | Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen |
| 2021 | ICDE | EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. | Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan |
| 2019 | IJCAI | Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. | Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen |
| 2018 | CIKM | Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. | Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen |
| 2018 | MDM | Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. | Tung Kieu, Bin Yang, Christian S. Jensen |