| Domain adaptive imitation learning K Kim, Y Gu, J Song, S Zhao, S Ermon International Conference on Machine Learning, 5286-5295, 2020 | 87* | 2020 |
| ZhuSuan: A library for Bayesian deep learning J Shi, J Chen, J Zhu, S Sun, Y Luo, Y Gu, Y Zhou arXiv preprint arXiv:1709.05870, 2017 | 47 | 2017 |
| Language modeling with sparse product of sememe experts Y Gu, J Yan, H Zhu, Z Liu, R Xie, M Sun, F Lin, L Lin arXiv preprint arXiv:1810.12387, 2018 | 40 | 2018 |
| Factor augmented sparse throughput deep relu neural networks for high dimensional regression J Fan, Y Gu Journal of the American Statistical Association 119 (548), 2680-2694, 2024 | 25 | 2024 |
| Convex formulation of overparameterized deep neural networks C Fang, Y Gu, W Zhang, T Zhang IEEE Transactions on Information Theory 68 (8), 5340-5352, 2022 | 25 | 2022 |
| How do noise tails impact on deep ReLU networks? J Fan, Y Gu, WX Zhou The Annals of Statistics 52 (4), 1845-1871, 2024 | 18 | 2024 |
| How to characterize the landscape of overparameterized convolutional neural networks Y Gu, W Zhang, C Fang, JD Lee, T Zhang Advances in Neural Information Processing Systems 33, 3797-3807, 2020 | 13 | 2020 |
| Environment invariant linear least squares J Fan, C Fang, Y Gu, T Zhang The Annals of Statistics 52 (5), 2268-2292, 2024 | 10 | 2024 |
| Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Y Gu, C Fang, P Bühlmann, J Fan arXiv preprint arXiv:2405.04715, 2024 | 2 | 2024 |
| Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization Y Gu, C Fang, Y Xu, Z Guo, J Fan arXiv preprint arXiv:2501.17354, 2025 | | 2025 |
| The Implicit Bias of Heterogeneity towards Invariance and Causality Y Xu, Y Gu, C Fang arXiv preprint arXiv:2403.01420, 2024 | | 2024 |
| The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing Y Xu, Y Gu, C Fang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |