Jiaye Teng
Publications by Year
Research Areas
Machine Learning and Data Classification, Statistical Methods and Inference, Neural Networks and Applications, Sparse and Compressive Sensing Techniques, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → High-resolution probabilistic load forecasting: A learning ensemble approach(2023)14 cited
- $\ell_1$ Adversarial Robustness Certificates: a Randomized Smoothing Approach(2019)
- → On Uni-Modal Feature Learning in Supervised Multi-Modal Learning(2023)9 cited
- → Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis(2021)4 cited
- → Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming(2022)4 cited
- → Predictive Inference with Feature Conformal Prediction(2022)3 cited
- → Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models(2022)3 cited
- → T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP(2021)1 cited
- → Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression(2022)1 cited