| Adversarial Robustness Certificates: a Randomized Smoothing Approach J Teng, GH Lee, Y Yuan | 30 | 2019 |
| Fighting fire with fire: Avoiding dnn shortcuts through priming C Wen, J Qian, J Lin, J Teng, D Jayaraman, Y Gao International Conference on Machine Learning (ICML 2022), 23723-23750, 2022 | 16 | 2022 |
| On uni-modal feature learning in supervised multi-modal learning C Du, J Teng, T Li, Y Liu, T Yuan, Y Wang, Y Yuan, H Zhao International Conference on Machine Learning, 8632-8656, 2023 | 14 | 2023 |
| Predictive inference with feature conformal prediction J Teng, C Wen, D Zhang, Y Bengio, Y Gao, Y Yuan The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 11 | 2022 |
| T-sci: A two-stage conformal inference algorithm with guaranteed coverage for cox-mlp J Teng, Z Tan, Y Yuan International Conference on Machine Learning (ICML 2021), 10203-10213, 2021 | 9 | 2021 |
| Can pretext-based self-supervised learning be boosted by downstream data? a theoretical analysis J Teng, W Huang, H He International Conference on Artificial Intelligence and Statistics, 4198-4216, 2022 | 8 | 2022 |
| Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models K Wen, J Teng, J Zhang The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 5* | 2022 |
| Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression J Xu, J Teng, Y Yuan, A Yao Advances in Neural Information Processing Systems 36, 2024 | 4* | 2024 |
| High-resolution probabilistic load forecasting: A learning ensemble approach C Lu, J Liang, W Jiang, J Teng, C Wu Journal of the Franklin Institute 360 (6), 4272-4296, 2023 | 4 | 2023 |
| Towards Understanding Generalization via Decomposing Excess Risk Dynamics J Teng, J Ma, Y Yuan ICLR, arXiv preprint arXiv:2106.06153, 2021 | 3 | 2021 |
| Finding Generalization Measures by Contrasting Signal and Noise J Teng, B Zhang, R Li, H He, Y Wang, Y Tian, Y Yuan International Conference on Machine Learning (ICML 2023), 2023 | | 2023 |
| Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization P Zhang, J Teng, J Zhang arXiv preprint arXiv:2303.10758, 2023 | | 2023 |
| Anomaly Detection with Test Time Augmentation and Consistency Evaluation H He, J Teng, Y Yuan arXiv preprint arXiv:2206.02345, 2022 | | 2022 |
Yang YuanTsinghua UniversityVerified email at tsinghua.edu.cn
