| Igcv3: Interleaved low-rank group convolutions for efficient deep neural networks K Sun, M Li, D Liu, J Wang arXiv preprint arXiv:1806.00178, 2018 | 139 | 2018 |
| Deep Convolutional Neural Networks with Merge-and-Run Mappings JW Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting ... International Joint Conference on Artificial Intelligence (IJCAI), 3170-3176, 2018 | 67* | 2018 |
| Implicit euler skip connections: Enhancing adversarial robustness via numerical stability M Li, L He, Z Lin International Conference on Machine Learning, 5874-5883, 2020 | 35 | 2020 |
| GCN: Graph Gaussian Convolution Networks with Concentrated Graph Filters M Li, X Guo, Y Wang, Y Wang, Z Lin International Conference on Machine Learning, 12782-12796, 2022 | 18 | 2022 |
| Optimization inspired multi-branch equilibrium models M Li, Y Wang, X Xie, Z Lin International Conference on Learning Representations, 2021 | 12 | 2021 |
| Cerdeq: Certifiable deep equilibrium model M Li, Y Wang, Z Lin International Conference on Machine Learning, 12998-13013, 2022 | 9 | 2022 |
| Unbiased stochastic proximal solver for graph neural networks with equilibrium states M Li, Y Wang, Y Wang, Z Lin The Eleventh International Conference on Learning Representations, 2022 | 5 | 2022 |
| Pareto adversarial robustness: Balancing spatial robustness and sensitivity-based robustness K Sun, M Li, Z Lin arXiv preprint arXiv:2111.01996, 2021 | 2 | 2021 |
| GEQ: Gaussian Kernel Inspired Equilibrium Models M Li, Y Wang, Z Lin Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| KerDEQ: Optimization induced Deep Equilibrium models via Gaussian Kernel M Li, Y Wang, Z Lin | | 2022 |
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchVerified email at pku.edu.cn
