| Improving the improved training of wasserstein gans: A consistency term and its dual effect X Wei, B Gong, Z Liu, W Lu, L Wang arXiv preprint arXiv:1803.01541, 2018 | 315 | 2018 |
| Detecting anomaly in big data system logs using convolutional neural network S Lu, X Wei, Y Li, L Wang 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th …, 2018 | 208 | 2018 |
| Log-based abnormal task detection and root cause analysis for spark S Lu, BB Rao, X Wei, B Tak, L Wang, L Wang 2017 IEEE International Conference on Web Services (ICWS), 389-396, 2017 | 97 | 2017 |
| STGAT: Spatial-temporal graph attention networks for traffic flow forecasting X Kong, W Xing, X Wei, P Bao, J Zhang, W Lu IEEE Access 8, 134363-134372, 2020 | 92 | 2020 |
| Adaptive spatial-temporal graph attention networks for traffic flow forecasting X Kong, J Zhang, X Wei, W Xing, W Lu Applied Intelligence, 1-17, 2022 | 56 | 2022 |
| LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark S Lu, X Wei, B Rao, B Tak, L Wang, L Wang Future Generation Computer Systems 95, 392-403, 2019 | 38 | 2019 |
| Learning motion rules from real data: Neural network for crowd simulation X Wei, W Lu, L Zhu, W Xing Neurocomputing 310, 125-134, 2018 | 32 | 2018 |
| Trajectory-based motion pattern analysis of crowds W Lu, X Wei, W Xing, W Liu Neurocomputing 247, 213-223, 2017 | 26 | 2017 |
| FMixCutMatch for semi-supervised deep learning X Wei, X Wei, X Kong, S Lu, W Xing, W Lu Neural Networks 133, 166-176, 2021 | 22 | 2021 |
| Black-box attacks against log anomaly detection with adversarial examples S Lu, M Wang, D Wang, X Wei, S Xiao, Z Wang, N Han, L Wang Information Sciences 619, 249-262, 2023 | 19 | 2023 |
| 3lpr: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning X Kong, X Wei, X Liu, J Wang, S Lu, W Xing, W Lu Knowledge-Based Systems 253, 109561, 2022 | 13 | 2022 |
| An incremental self-labeling strategy for semi-supervised deep learning based on generative adversarial networks X Wei, X Wei, W Xing, S Lu, W Lu IEEE Access 8, 8913-8921, 2020 | 12 | 2020 |
| MSPENet: multi-scale adaptive fusion and position enhancement network for human pose estimation J Xu, W Liu, W Xing, X Wei The Visual Computer 39 (5), 2005-2019, 2023 | 10 | 2023 |
| Numerical continuation of invariant solutions of the complex Ginzburg–Landau equation V López Communications in Nonlinear Science and Numerical Simulation 61, 248-270, 2018 | 9 | 2018 |
| Skdlog: self-knowledge distillation-based cnn for abnormal log detection N Han, S Lu, D Wang, M Wang, X Tan, X Wei 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable …, 2022 | 8 | 2022 |
| Anomaly detection of trackside equipment based on semi-supervised and multi-domain learning X Guo, X Wei, M Guo, X Wei, L Gao, W Xing 2020 15th IEEE international conference on signal processing (ICSP) 1, 268-273, 2020 | 8 | 2020 |
| Anomaly detection of trackside equipment based on GPS and image matching L Gao, Y Jiu, X Wei, Z Wang, W Xing IEEE Access 8, 17346-17355, 2020 | 8 | 2020 |
| DA-Res2Net: a novel Densely connected residual Attention network for image semantic segmentation X Zhao, W Liu, W Xing, X Wei KSII Transactions on Internet and Information Systems (TIIS) 14 (11), 4426-4442, 2020 | 7 | 2020 |
| Stgs: construct spatial and temporal graphs for citywide crowd flow prediction J Xing, X Kong, W Xing, X Wei, J Zhang, W Lu Applied Intelligence 52 (11), 12272-12281, 2022 | 6 | 2022 |
| Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models J Xu, Y Lu, Y Li, S Lu, D Wang, X Wei Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
