| Unsupervised discovery of solid-state lithium ion conductors Y Zhang, X He, Z Chen, Q Bai, AM Nolan, CA Roberts, D Banerjee, ... Nature communications 10 (1), 5260, 2019 | 258 | 2019 |
| Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review G Li, Y Huang, Z Chen, GD Chesser Jr, JL Purswell, J Linhoss, Y Zhao Sensors 21 (4), 1492, 2021 | 154 | 2021 |
| Predicting the hydrogen release ability of LiBH4-based mixtures by ensemble machine learning Z Ding, Z Chen, T Ma, CT Lu, W Ma, L Shaw Energy Storage Materials 27, 466-477, 2020 | 84 | 2020 |
| Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks Z Chen, F Chen, L Zhang, T Ji, K Fu, L Zhao, F Chen, L Wu, C Aggarwal, ... ACM Computing Surveys 56 (5), 42, 2023 | 79* | 2023 |
| LiBH4 for hydrogen storage-new perspectives Z Ding, S Li, Y Zhou, Z Chen, W Yang, W Ma, L Shaw Nano Materials Science 2 (2), 109-119, 2020 | 78 | 2020 |
| Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors G Li, X Hui, Z Chen, GD Chesser Jr, Y Zhao Computers and electronics in agriculture 181, 105982, 2021 | 45 | 2021 |
| Graph convolutional networks with kalman filtering for traffic prediction F Chen, Z Chen, S Biswas, S Lei, N Ramakrishnan, CT Lu Proceedings of the 28th international conference on advances in geographic …, 2020 | 41 | 2020 |
| Towards more accurate uncertainty estimation in text classification J He, X Zhang, S Lei, Z Chen, F Chen, A Alhamadani, B Xiao, CT Lu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 41 | 2020 |
| Streetnet: preference learning with convolutional neural network on urban crime perception K Fu, Z Chen, CT Lu Proceedings of the 26th ACM SIGSPATIAL international conference on advances …, 2018 | 37 | 2018 |
| Rational neural networks for approximating graph convolution operator on jump discontinuities Z Chen, F Chen, R Lai, X Zhang, CT Lu 2018 IEEE International Conference on Data Mining (ICDM), 59-68, 2018 | 28* | 2018 |
| Deep representation learning: Fundamentals, technologies, applications, and open challenges A Payandeh, KT Baghaei, P Fayyazsanavi, SB Ramezani, Z Chen, ... IEEE Access 11, 137621-137659, 2023 | 27* | 2023 |
| Estimating the circuit de-obfuscation runtime based on graph deep learning Z Chen, G Kolhe, S Rafatirad, CT Lu, SM PD, H Homayoun, L Zhao 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 358-363, 2020 | 26 | 2020 |
| REGAL: A Regionalization framework for school boundaries S Biswas, F Chen, Z Chen, A Sistrunk, N Self, CT Lu, N Ramakrishnan Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 23 | 2019 |
| Geospatial clustering for balanced and proximal schools S Biswas, F Chen, A Sistrunk, S Muthiah, Z Chen, N Self, CT Lu, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13358 …, 2020 | 20 | 2020 |
| Multimodal storytelling via generative adversarial imitation learning Z Chen, X Zhang, AP Boedihardjo, J Dai, CT Lu Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 20 | 2017 |
| Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems S Biswas, F Chen, Z Chen, CT Lu, N Ramakrishnan Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 19 | 2020 |
| Patent citation dynamics modeling via multi-attention recurrent networks T Ji, Z Chen, N Self, K Fu, CT Lu, N Ramakrishnan Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 15 | 2019 |
| Machine learning for computer scientists and data analysts: from an applied perspective S Rafatirad, H Homayoun, Z Chen, SMP Dinakarrao Springer, 2022 | 13* | 2022 |
| Learning to fuse music genres with generative adversarial dual learning Z Chen, CW Wu, YC Lu, A Lerch, CT Lu 2017 IEEE International Conference on Data Mining (ICDM), 817-822, 2017 | 13 | 2017 |
| Deep graph learning for circuit deobfuscation Z Chen, L Zhang, G Kolhe, HM Kamali, S Rafatirad, ... Frontiers in big Data 4, 608286, 2021 | 11 | 2021 |
Chang-Tien Lu, IEEE FellowComputer Science, Virginia TechE-mail megerősítve itt: vt.edu