Martin Renqiang Min
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Multimodal Machine Learning Applications, Natural Language Processing Techniques, Topic Modeling, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection(2018)
- → Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms(2018)324 cited
- → Automated IT system failure prediction: A deep learning approach(2016)163 cited
- → Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective(2019)148 cited
- → Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis(2019)115 cited
- → Conditional Image-to-Video Generation with Latent Flow Diffusion Models(2023)102 cited
- → A deep generative model for molecule optimization via one fragment modification(2021)90 cited
- → On TCR binding predictors failing to generalize to unseen peptides(2022)84 cited
- → S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation(2020)75 cited
- → Improving Disentangled Text Representation Learning with Information-Theoretic Guidance(2020)66 cited