| GAN Ensemble for Anomaly Detection X Chen, X Han, LP Liu AAAI Conference on Artificial Intelligence (AAAI 2021), 2021 | 70 | 2021 |
| Order matters: Probabilistic modeling of node sequence for graph generation X Chen, X Han, J Hu, FJR Ruiz, L Liu International Conference on Machine Learning (ICML 2021), 2021 | 30 | 2021 |
| Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling X Chen, J He, X Han, LP Liu International Conference on Machine Learning (ICML 2023), 2023 | 22 | 2023 |
| Nvdiff: Graph generation through the diffusion of node vectors X Chen, Y Li, A Zhang, LP Liu arXiv preprint arXiv:2211.10794, 2022 | 11 | 2022 |
| Fitting autoregressive graph generative models through maximum likelihood estimation X Han, X Chen, FJR Ruiz, LP Liu Journal of Machine Learning Research 24 (97), 1-30, 2023 | 5 | 2023 |
| Interpretable Node Representation with Attribute Decoding X Chen, X Chen, L Liu Transactions on Machine Learning Research (TMLR 2022), 2022 | 5 | 2022 |
| Reason out your layout: Evoking the layout master from large language models for text-to-image synthesis X Chen, Y Liu, Y Yang, J Yuan, Q You, LP Liu, H Yang arXiv preprint arXiv:2311.17126, 2023 | 4 | 2023 |
| A Framework for Multisensory Foresight for Embodied Agents X Chen, R Hosseini, K Panetta, J Sinapov International Conference on Robotics and Automation (ICRA 2021), 2021 | 2 | 2021 |
| Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems X Chen, J Sun, T Wang, R Guo, LP Liu, A Zhang ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 05/2023, 2023 | 1 | 2023 |
| EDGE++: Improved Training and Sampling of EDGE M Wu, X Chen, L Liu arXiv preprint arXiv:2310.14441, 2023 | | 2023 |
| On Separate Normalization in Self-supervised Transformers X Chen, Y Wang, Y Du, S Hassoun, LP Liu Advances in Neural Information Processing Systems, 2023, 2023 | | 2023 |
| Data subsampling for recommendation systems A Zhang, SUN Jiankai, R Guo, W Taiqing, X Chen US Patent App. 18/070,461, 2023 | | 2023 |
