| DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks A Sankar, Y Wu, L Gou, W Zhang, H Yang The 13th ACM International WSDM Conference (WSDM '20), 2020 | 686* | 2020 |
| iForest: Interpreting Random Forests via Visual Analytics X Zhao, Y Wu, DL Lee, W Cui IEEE Transactions on Visualization and Computer Graphics (Proceedings of …, 2019 | 195 | 2019 |
| egoSlider: Visual Analysis of Egocentric Network Evolution Y Wu, N Pitipornvivat, J Zhao, S Yang, G Huang, H Qu IEEE Transactions on Visualization and Computer Graphics (Proceedings of …, 2015 | 123 | 2015 |
| GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation A Sankar, Y Wu, Y Wu, W Zhang, H Yang, H Sundaram The 43rd International ACM SIGIR Conference on Research and Development in …, 2020 | 91 | 2020 |
| Evaluation of Graph Sampling: A Visualization Perspective Y Wu, N Cao, D Archambault, Q Shen, H Qu, W Cui IEEE Transactions on Visualization and Computer Graphics (Proceedings of …, 2016 | 79 | 2016 |
| Egocentric Analysis of Dynamic Networks with Egolines J Zhao, M Glueck, F Chevalier, Y Wu, A Khan ACM CHI Conference on Human Factors in Computing Systems (CHI), 5003-5014, 2016 | 61 | 2016 |
| NameClarifier: A Visual Analytics System for Author Name Disambiguation Q Shen, T Wu, H Yang, Y Wu, H Qu, W Cui IEEE Transactions on Visualization and Computer Graphics (Proceedings of …, 2016 | 52 | 2016 |
| SkyLens: Visual Analysis of Skyline on Multi-dimensional Data X Zhao, Y Wu, W Cui, X Du, Y Chen, Y Wang, DL Lee, H Qu IEEE Transactions on Visualization and Computer Graphics (Proceedings of …, 2017 | 47 | 2017 |
| Duet: Helping Data Analysis Novices Conduct Pairwise Comparisons by Minimal Specification PM Law, RC Basole, Y Wu IEEE Transactions on Visualization and Computer Graphics (Proceedings of …, 2019 | 39 | 2019 |
| Visual Interpretation of Recurrent Neural Network on Multi-dimensional Time-series Forecast Q Shen, Y Wu, Y Jiang, W Zeng, AKH LAU, A Vianova, H Qu IEEE Pacific Visualization Symposium (PacificVis), 2020 | 36 | 2020 |
| Towards Easy Comparison of Local Businesses Using Online Reviews Y Wang, H Haleem, C Shi, Y Wu, X Zhao, S Fu, H Qu Computer Graphics Forum (Proceedings of EuroVis) 37 (3), 63-74, 2018 | 28 | 2018 |
| Nonuniform timeslicing of dynamic graphs based on visual complexity Y Wang, D Archambault, H Haleem, T Moeller, Y Wu, H Qu 2019 IEEE Visualization Conference (VIS), 1-5, 2019 | 25 | 2019 |
| DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability W Cong, Y Wu, Y Tian, M Gu, Y Xia, CJ Chen, M Mahdavi Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 22* | 2023 |
| Oui! Outlier Interpretation on Multi-dimensional Data via Visual Analytics X Zhao, W Cui, Y Wu, H Zhang, H Qu, D Zhang Computer Graphics Forum (Proceedings of EuroVis) 38, 2019 | 15 | 2019 |
| Beating attackers at their own games: Adversarial example detection using adversarial gradient directions Y Wu, SS Arora, Y Wu, H Yang Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2969-2977, 2021 | 12 | 2021 |
| Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts PM Law, Y Wu, RC Basole IEEE Conference on Visual Analytics Science and Technology, 2018 | 11 | 2018 |
| Interactive Visual Summary of Major Communities in a Large Network Y Wu, W Wu, S Yang, Y Yan, H Qu IEEE Pacific Visualization Symposium (PacificVis), 47-54, 2015 | 10 | 2015 |
| Dynamic graph representation learning via attention networks A Sankar, Y Wu, L Gou, W Zhang, H Yang WO Patent WO2020068831A1, 2020 | 9 | 2020 |
| Dynamic graph representation learning via self-attention networks, 2019 A Sankar, Y Wu, L Gou, W Zhang, H Yang URL https://openreview. net/forum, 2019 | 6 | 2019 |
| Mining Anomalies in Subspaces of High-dimensional Time Series for Financial Transactional Data J He, CCM Yeh, Y Wu, L Wang, W Zhang dim 1, 0, 2021 | 3 | 2021 |
Wei ZhangVisaVerified email at visa.com
