Kevin J Liang
Meta (United States)(US)
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning, Advanced Neural Network Applications, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Towards Fair Federated Learning with Zero-Shot Data Augmentation(2021)92 cited
- → Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives(2024)65 cited
- → Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection(2022)51 cited
- → A Multiplexed Network for End-to-End, Multilingual OCR(2021)50 cited
- → Few-shot Learning with Noisy Labels(2022)46 cited
- → Generative Adversarial Network Training is a Continual Learning Problem(2018)38 cited
- → Automatic threat recognition of prohibited items at aviation checkpoint with x-ray imaging: a deep learning approach(2018)33 cited
- → Toward Automatic Threat Recognition for Airport X-ray Baggage Screening\n with Deep Convolutional Object Detection(2019)31 cited
- → Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability(2020)30 cited
- → MixKD: Towards Efficient Distillation of Large-scale Language Models(2020)30 cited