Tung Kieu

38 papers A* 9A 1B 1Misc 1Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective.
AAAI
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
2025 J jnl
An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data-Extended Version.
CoRR
Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, Bin Yang
2025 A* conf
BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance.
ACM Multimedia
Huy Le, Nhat Chung, Tung Kieu, Anh Nguyen, Ngan Le
2025 J jnl
BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance.
CoRR
Huy Le, Nhat Chung, Tung Kieu, Anh Nguyen, Ngan Le
2025 J jnl
Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective.
CoRR
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
2025 J jnl
SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts-Extended Version.
CoRR
Nghiem Thanh Pham, Tung Kieu, Duc-Manh Nguyen, Ha Xuan Son, Nghia Duong-Trung, Danh Le Phuoc
2025 — conf
SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts.
EMNLP (Findings)
Nghiem Thanh Pham, Tung Kieu, Duc-Manh Nguyen, Ha Xuan Son, Nghia Duong-Trung, Danh Le Phuoc
2025 J jnl
SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation.
CoRR
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
2025 J jnl
UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning.
CoRR
Huy Le, Nhat Chung, Tung Kieu, Jingkang Yang, Ngan Le
2025 J jnl
Universal Multi-Domain Translation via Diffusion Routers.
CoRR
Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, Thin Nguyen
2024 J jnl
Class-incremental learning with causal relational replay.
Expert Syst. Appl.
Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
2024 J jnl
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version.
CoRR
Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen
2024 J jnl
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks.
Proc. VLDB Endow.
Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen
2024 J jnl
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version.
CoRR
David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen
2024 J jnl
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models.
Proc. VLDB Endow.
David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen
2024 J jnl
TEAM: Topological Evolution-aware Framework for Traffic Forecasting-Extended Version.
CoRR
Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le
2024 J jnl
TEAM: Topological Evolution-aware Framework for Traffic Forecasting.
Proc. VLDB Endow.
Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le
2024 Misc conf
WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge.
ICASSP
Huy Le, Tung Kieu, Anh Nguyen, Ngan Le
2023 J jnl
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version.
CoRR
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
2023 J jnl
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation.
Proc. ACM Manag. Data
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
2023 J jnl
WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge.
CoRR
Huy Le, Tung Kieu, Anh Nguyen, Ngan Le
2022 J jnl
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis.
CoRR
Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen
2022 A* conf
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders.
ICDE
Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen
2022 A* conf
Outlier Detection for Streaming Task Assignment in Crowdsourcing.
WWW
Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2022 J jnl
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version.
CoRR
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
2022 A* conf
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection.
ICDE
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
2022 A* conf
Towards Spatio- Temporal Aware Traffic Time Series Forecasting.
ICDE
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
2022 J jnl
Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version.
CoRR
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
2022 J jnl
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version.
CoRR
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
2022 A* conf
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting.
IJCAI
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
2021 A* conf
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting.
ICDE
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan
2021 J jnl
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version.
CoRR
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
2021 J jnl
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles.
Proc. VLDB Endow.
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
2020 J jnl
Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building.
Sensors
Tuong Le, Minh Thanh Vo, Tung Kieu, Eenjun Hwang, Seungmin Rho, Sung Wook Baik
2019 A* conf
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles.
IJCAI
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
2018 A conf
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories.
CIKM
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
2018 B conf
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks.
MDM
Tung Kieu, Bin Yang, Christian S. Jensen
2017 J jnl
Mining top-k co-occurrence items with sequential pattern.
Expert Syst. Appl.
Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le