| Datashot: Automatic generation of fact sheets from tabular data Y Wang, Z Sun, H Zhang, W Cui, K Xu, X Ma, D Zhang IEEE transactions on visualization and computer graphics 26 (1), 895-905, 2019 | 187 | 2019 |
| Eventthread: Visual summarization and stage analysis of event sequence data S Guo, K Xu, R Zhao, D Gotz, H Zha, N Cao IEEE transactions on visualization and computer graphics 24 (1), 56-65, 2017 | 118 | 2017 |
| Ensemblelens: Ensemble-based visual exploration of anomaly detection algorithms with multidimensional data K Xu, M Xia, X Mu, Y Wang, N Cao IEEE transactions on visualization and computer graphics 25 (1), 109-119, 2018 | 52 | 2018 |
| Clouddet: Interactive visual analysis of anomalous performances in cloud computing systems K Xu, Y Wang, L Yang, Y Wang, B Qiao, S Qin, Y Xu, H Zhang, H Qu IEEE transactions on visualization and computer graphics 26 (1), 1107-1117, 2019 | 46 | 2019 |
| ECGLens: Interactive visual exploration of large scale ecg data for arrhythmia detection K Xu, S Guo, N Cao, D Gotz, A Xu, H Qu, Z Yao, Y Chen Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 37 | 2018 |
| Interactive visual exploration of longitudinal historical career mobility data Y Wang, H Liang, X Shu, J Wang, K Xu, Z Deng, C Campbell, B Chen, ... IEEE Transactions on Visualization and Computer Graphics 28 (10), 3441-3455, 2021 | 30 | 2021 |
| RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses M Chen, A Abdul-Rahman, D Archambault, J Dykes, PD Ritsos, ... Epidemics 39, 100569, 2022 | 23 | 2022 |
| MOOCad: Visual Analysis of Anomalous Learning Activities in Massive Open Online Courses Xing Mu*, Ke Xu*, Qing Chen, Fan Du, Yun Wang, Huamin Qu EuroVis 2019, 91-95, 2019 | 22* | 2019 |
| Mtseer: Interactive visual exploration of models on multivariate time-series forecast K Xu, J Yuan, Y Wang, C Silva, E Bertini Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 21 | 2021 |
| Leveraging large models for crafting narrative visualization: a survey Y He, S Cao, Y Shi, Q Chen, K Xu, N Cao arXiv preprint arXiv:2401.14010, 2024 | 16 | 2024 |
| Interactive data analysis with next-step natural language query recommendation X Wang, F Cheng, Y Wang, K Xu, J Long, H Lu, H Qu arXiv preprint arXiv:2201.04868, 2022 | 15 | 2022 |
| Towards ground truth explainability on tabular data B Barr, K Xu, C Silva, E Bertini, R Reilly, CB Bruss, JD Wittenbach arXiv preprint arXiv:2007.10532, 2020 | 12 | 2020 |
| RAMPVIS: Towards a new methodology for developing visualisation capabilities for large-scale emergency responses M Chen, A Abdul-Rahman, D Archambault, J Dykes, A Slingsby, ... arXiv preprint arXiv:2012.04757, 2020 | 11 | 2020 |
| Supporting guided exploratory visual analysis on time series data with reinforcement learning Y Shi, B Chen, Y Chen, Z Jin, K Xu, X Jiao, T Gao, N Cao IEEE Transactions on Visualization and Computer Graphics, 2023 | 7 | 2023 |
| QEVIS: Multi-grained Visualization of Distributed Query Execution Q Shen, Z You, X Yan, C Zhang, K Xu, D Zeng, J Qin, B Tang IEEE Transactions on Visualization and Computer Graphics, 2023 | 2 | 2023 |
| Visualizing Usage Data from a Diabetes Management System PD Ritsos, K Xu | | |
Nan CaoProfessor, Intelligent Big Data Visualization Lab @ Tongji UniversityVerified email at tongji.edu.cn
