| 2026 | AAAI | Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification. | Xin Qin, Mengna Liu, Wenjie Wang, Shuxin Li, Tianjiao Li, Xiufeng Liu, Xu Cheng |
| 2026 | DEXA | WassDRO-AD: Distributionally Robust Anomaly Detection for Multivariate IoT Data Streams. | Xiufeng Liu, Ruyu Liu, Yanyan Yang |
| 2026 | EDBT | TwinDB: Interactive What-If Analysis for Digital Twins. | Xiufeng Liu, Ruyu Liu, Per Sieverts Nielsen, Hua Lu |
| 2026 | EDBT | NavLLM: Interactive LLM-Assisted Navigation over Multidimensional Data Cubes. | Xiufeng Liu, Ruyu Liu, Yanyan Yang |
| 2025 | CSCWD | Multi-Stage Knowledge Distillation for Progressive Image Deblurring in Teacher-Student Networks. | Jie He, Lin Wang, Jiajia Wang, Ruyu Liu, Haoyu Zhang, Bo Sun, Xiufeng Liu, Chaochao Wang, Xianchao Zhang |
| 2025 | CSCWD | A Correlation-Aware Diffusion Model for Multivariate Time Series Anomaly Detection with Missing Values. | Zhanneng Zeng, Renfang Wang, Hong Qiu, Xiufeng Liu, Xu Cheng |
| 2025 | CSCWD | SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation. | Qia Zhang, Renfang Wang, Hong Qiu, Xiufeng Liu, Xu Cheng |
| 2025 | ICASSP | Serial Local Patterns and Irregular Dependencies Extract and Cascaded Fusion Network for Structural Crack Segmentation. | Hui Liu, Chen Jia, Xu Cheng, Xiufeng Liu, Fan Shi |
| 2025 | ICASSP | SPRGAN: Streamlined Progressive Refinement for Adversarial Point Cloud Video Upsampling. | Zhiyong Zhang, Ruyu Liu, Chaochao Wang, Xianchao Zhang, Jianhua Zhang, Xiufeng Liu |
| 2025 | ICASSP | Efficient Large-Scale Scene Point Cloud Upsampling with Implicit Neural Networks and Spatial Hashing. | Zhiyong Zhang, Yunrui Zhu, Ruyu Liu, Xu Cheng, Jianhua Zhang, Xiufeng Liu |
| 2025 | ICRA | Multi-Scale Convolutional Networks with Class-Normalized Logit Clipping for Robust Sea State Estimation from Noisy Ship Motion Data. | Xin Qin, Mengna Liu, Xu Cheng, Xiufeng Liu, Fan Shi, Jianhua Zhang, Shengyong Chen |
| 2025 | PAKDD | Causal Discovery with Inverted Self-attention for Multivariate Time Series. | Yusen Liu, Yong Wang, Yifan Yin, Tianqing Zhu, Xiufeng Liu, Huan Huo |
| 2025 | SAC | PULLM: A Multimodal Framework for Enhanced 3D Point Cloud Upsampling Using Large Language Models. | Zhiyong Zhang, Ruyu Liu, Xiufeng Liu, Yunrui Zhu, Yanyan Yang, Chaochao Wang, Jianhua Zhang |
| 2024 | DATA | Online Machine Learning for Adaptive Ballast Water Management. | Nadeem Iftikhar, Yi-Chen Lin, Xiufeng Liu, Finn Ebertsen Nordbjerg |
| 2024 | DATA | Adaptive Online Learning Framework for Optimizing Ballast Water Management Systems in Maritime Environmental Protection. | Nadeem Iftikhar, Xiufeng Liu, Yi-Chen Lin, Finn Ebertsen Nordbjerg |
| 2023 | CSCWD | Tensor Nuclear Norm Based Matrix Regression Based Projections for Feature Extraction of Hyperspectral Images. | Hong Qiu, Heng Jin, Renfang Wang, Xiufeng Liu, Guang Gao |
| 2023 | CSCWD | Spatial and Channel Exchange based on EfficientNet for Detecting Changes of Remote Sensing Images. | Renfang Wang, Zijian Yang, Hong Qiu, Xiufeng Liu, Dun Wu |
| 2023 | EDBT | Understanding crowd energy consumption behaviors. | Xiufeng Liu, Xu Cheng, Yanyan Yang, Huan Huo, Yongping Liu, Per Sieverts Nielsen |
| 2023 | ICMLC | Feature Enhancement Based Multi-Feature Fusion Network for Video Anomaly Detection in Offshore Surbeillance. | Jiacheng Gao, Xu Cheng, Xiufeng Liu, Fan Shi, Meng Zhao, Shengyong Chen |
| 2023 | WISE | Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples. | Ting Huang, Xike Xie, Xiufeng Liu |
| 2021 | DaWaK | A Workload-Aware Change Data Capture Framework for Data Warehousing. | Weiping Qu, Xiufeng Liu, Stefan Dessloch |
| 2021 | SENSYS | Addressing partial observability in reinforcement learning for energy management. | Marco Biemann, Xiufeng Liu, Yifeng Zeng, Lizhen Huang |
| 2020 | EDBT | VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery. | Xiufeng Liu, Zhibin Niu, Yanyan Yang, Junqi Wu, Dawei Cheng, Xin Wang |
| 2020 | ICONIP | A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream. | Xiufeng Liu, Zhichen Lai, Xin Wang, Lizhen Huang, Per Sieverts Nielsen |
| 2018 | DASFAA | Recognizing Textual Entailment with Attentive Reading and Writing Operations. | Liang Liu, Huan Huo, Xiufeng Liu, Vasile Palade, Dunlu Peng, Qingkui Chen |
| 2018 | EDBT | Analysis and Visualization of Urban Emission Measurements in Smart Cities. | Dirk Ahlers, Frank Alexander Kraemer, Anders Eivind Braten, Xiufeng Liu, Fredrik Anthonisen, Patrick Driscoll, John Krogstie |
| 2017 | DaWaK | Air Quality Monitoring System and Benchmarking. | Xiufeng Liu, Per Sieverts Nielsen |
| 2016 | ADC | A Weighted K-AP Query Method for RSSI Based Indoor Positioning. | Huan Huo, Xiufeng Liu, Jifeng Li, Huhu Yang, Dunlu Peng, Qingkui Chen |
| 2016 | DaWaK | Online Anomaly Energy Consumption Detection Using Lambda Architecture. | Xiufeng Liu, Nadeem Iftikhar, Per Sieverts Nielsen, Alfred Heller |
| 2015 | ADBIS | Relational-Based Sensor Data Cleansing. | Nadeem Iftikhar, Xiufeng Liu, Finn Ebertsen Nordbjerg |
| 2015 | EDBT | Benchmarking Smart Meter Data Analytics. | Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas |
| 2015 | ICDE | SMAS: A smart meter data analytics system. | Xiufeng Liu, Lukasz Golab, Ihab F. Ilyas |
| 2015 | SAC | An ETL optimization framework using partitioning and parallelization. | Xiufeng Liu, Nadeem Iftikhar |
| 2014 | IDEAS | Survey of real-time processing systems for big data. | Xiufeng Liu, Nadeem Iftikhar, Xike Xie |
| 2014 | IDEAS | CloudETL: scalable dimensional ETL for hive. | Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen |
| 2011 | DaWaK | ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. | Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen |
| 2011 | SSDBM | The ETLMR MapReduce-Based ETL Framework. | Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen |