Difan Zou
University of Hong Kong(HK)
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Domain Adaptation and Few-Shot Learning, Optical Wireless Communication Technologies, Generative Adversarial Networks and Image Synthesis, Sparse and Compressive Sensing Techniques
Most-Cited Works
- → Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States(2022)304 cited
- Improving Adversarial Robustness Requires Revisiting Misclassified Examples(2020)
- → Gradient descent optimizes over-parameterized deep ReLU networks(2019)226 cited
- → Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks(2018)216 cited
- → Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United States(2020)103 cited
- → Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks(2019)87 cited
- → Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex\n Optimization(2017)86 cited
- → A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave(2021)84 cited
- → A 1Mbps Real-Time NLOS UV Scattering Communication System With Receiver Diversity Over 1km(2018)81 cited
- → Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US(2021)77 cited