| Smartadp: Visual analytics of large-scale taxi trajectories for selecting billboard locations D Liu, D Weng, Y Li, J Bao, Y Zheng, H Qu, Y Wu IEEE transactions on visualization and computer graphics 23 (1), 1-10, 2016 | 143 | 2016 |
| Atmseer: Increasing transparency and controllability in automated machine learning Q Wang, Y Ming, Z Jin, Q Shen, D Liu, MJ Smith, K Veeramachaneni, ... Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 70 | 2019 |
| Peakvizor: Visual analytics of peaks in video clickstreams from massive open online courses Q Chen, Y Chen, D Liu, C Shi, Y Wu, H Qu IEEE transactions on visualization and computer graphics 22 (10), 2315-2330, 2015 | 70 | 2015 |
| TadGAN: Time series anomaly detection using generative adversarial networks A Geiger, D Liu, S Alnegheimish, A Cuesta-Infante, K Veeramachaneni 2020 IEEE International Conference on Big Data (Big Data), 33-43, 2020 | 54 | 2020 |
| TPFlow: Progressive partition and multidimensional pattern extraction for large-scale spatio-temporal data analysis D Liu, P Xu, L Ren IEEE transactions on visualization and computer graphics 25 (1), 1-11, 2018 | 46 | 2018 |
| Deeptracker: Visualizing the training process of convolutional neural networks D Liu, W Cui, K Jin, Y Guo, H Qu ACM Transactions on Intelligent Systems and Technology (TIST) 10 (1), 1-25, 2018 | 36 | 2018 |
| A guided tour of literature review: Facilitating academic paper reading with narrative visualization Y Wang, D Liu, H Qu, Q Luo, X Ma Proceedings of the 9th International Symposium on Visual Information …, 2016 | 16 | 2016 |
| Understanding user-bot interactions for small-scale automation in open-source development D Liu, MJ Smith, K Veeramachaneni Extended abstracts of the 2020 CHI conference on human factors in computing …, 2020 | 15 | 2020 |
| egocomp: A node-link-based technique for visual comparison of ego-networks D Liu, F Guo, B Deng, H Qu, Y Wu Information Visualization 16 (3), 179-189, 2017 | 13 | 2017 |
| Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making A Zytek, D Liu, R Vaithianathan, K Veeramachaneni arXiv e-prints, arXiv: 2103.02071, 2021 | 9* | 2021 |
| TacticFlow: Visual analytics of ever-changing tactics in racket sports J Wu, D Liu, Z Guo, Q Xu, Y Wu IEEE Transactions on Visualization and Computer Graphics 28 (1), 835-845, 2021 | 6 | 2021 |
| Vbridge: Connecting the dots between features and data to explain healthcare models F Cheng, D Liu, F Du, Y Lin, A Zytek, H Li, H Qu, K Veeramachaneni IEEE Transactions on Visualization and Computer Graphics 28 (1), 378-388, 2021 | 4 | 2021 |
| Aqeyes: visual analytics for anomaly detection and examination of air quality data D Liu, K Veeramachaneni, A Geiger, VOK Li, H Qu arXiv preprint arXiv:2103.12910, 2021 | 4 | 2021 |
| Cardea: An open automated machine learning framework for electronic health records S Alnegheimish, N Alrashed, F Aleissa, S Althobaiti, D Liu, M Alsaleh, ... 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 4 | 2020 |
| MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series D Liu, S Alnegheimish, A Zytek, K Veeramachaneni arXiv preprint arXiv:2112.05734, 2021 | 3 | 2021 |
| ParkVis: A visual analytic system for anomaly detection in DinoFun World A Puri, D Liu, S Chen, S Fu, T Wang, Y Chan, H Qu 2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 123-124, 2015 | 2 | 2015 |
| Sintel: A Machine Learning Framework to Extract Insights from Signals S Alnegheimish, D Liu, C Sala, L Berti-Equille, K Veeramachaneni arXiv preprint arXiv:2204.09108, 2022 | 1 | 2022 |
| Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making A Zytek, D Liu, R Vaithianathan, K Veeramachaneni Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021 | 1 | 2021 |
| InSide: Interactive sketching for image database exploration H Zhang, D Liu, C Wang 2013 International Conference on Computer-Aided Design and Computer Graphics …, 2013 | 1 | 2013 |
| The Need for Interpretable Features: Motivation and Taxonomy A Zytek, I Arnaldo, D Liu, L Berti-Equille, K Veeramachaneni arXiv preprint arXiv:2202.11748, 2022 | | 2022 |
Huamin QuChair Professor, Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
