| 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 | 505 | 2020 |
| 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 | 228 | 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 | 153 | 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 | 111 | 2015 |
| 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 | 97 | 2018 |
| Sibyl: Understanding and addressing the usability challenges of machine learning in high-stakes decision making A Zytek, D Liu, R Vaithianathan, K Veeramachaneni IEEE Transactions on Visualization and Computer Graphics 28 (1), 1161-1171, 2021 | 76 | 2021 |
| 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 | 75 | 2018 |
| 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 | 69 | 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 | 68 | 2021 |
| The Need for Interpretable Features: Motivation and Taxonomy KV Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Equille ACM SIGKDD Explorations Newsletter 24 (1), 1-13, 2022 | 59 | 2022 |
| AER: Auto-encoder with regression for time series anomaly detection L Wong, D Liu, L Berti-Equille, S Alnegheimish, K Veeramachaneni 2022 IEEE International Conference on Big Data (Big Data), 1152-1161, 2022 | 51 | 2022 |
| Sintel: A machine learning framework to extract insights from signals S Alnegheimish, D Liu, C Sala, L Berti-Equille, K Veeramachaneni Proceedings of the 2022 International Conference on Management of Data, 1855 …, 2022 | 40 | 2022 |
| MTV: Visual analytics for detecting, investigating, and annotating anomalies in multivariate time series D Liu, S Alnegheimish, A Zytek, K Veeramachaneni Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1), 1-30, 2022 | 38 | 2022 |
| 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 | 37 | 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 | 36 | 2020 |
| 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 | 26 | 2020 |
| RASIPAM: Interactive pattern mining of multivariate event sequences in racket sports J Wu, D Liu, Z Guo, Y Wu IEEE Transactions on Visualization and Computer Graphics 29 (1), 940-950, 2022 | 24 | 2022 |
| 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 | 21 | 2017 |
| Towards dataset-scale and feature-oriented evaluation of text summarization in large language model prompts S Yu-Te Lee, A Bahukhandi, D Liu, KL Ma IEEE Transactions on Visualization and Computer Graphics, 2024 | 17 | 2024 |
| MIG-Viewer: Visual analytics of soccer player migration A Cao, X Xie, J Lan, H Lu, X Hou, J Wang, H Zhang, D Liu, Y Wu Visual Informatics 5 (3), 102-113, 2021 | 13 | 2021 |
Kalyan VeeramachaneniPrincipal Research Scientist, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
