Hao Cheng
Hong Kong Baptist University(HK)Bellevue College(US)University of California, Santa Cruz(US)Research Institute of Petroleum Exploration and Development(CN)International Data Group (Sweden)(SE)China National Petroleum Corporation (China)(CN)
Publications by Year
Research Areas
Machine Learning and Data Classification, Domain Adaptation and Few-Shot Learning, Anomaly Detection Techniques and Applications, Topic Modeling, Advanced Neural Network Applications
Most-Cited Works
- → Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations(2021)62 cited
- → DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning(2022)30 cited
- → Nighttime light perspective in urban resilience assessment and spatiotemporal impact of COVID-19 from January to June 2022 in mainland China(2023)28 cited
- → Learning with Instance-Dependent Label Noise: A Sample Sieve Approach(2020)27 cited
- → Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification(2019)27 cited
- → Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane(2018)25 cited