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cs.LG2025
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
Chen Li, Huidong Tang, Ye Zhu +1
Generating molecules with desired chemical properties presents a critical challenge in fields such as chemical synthesis and drug discovery. Recent advancements in artificial intel…
cs.LG2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation
Huidong Tang, Chen Li, Huachong Yu +2
Federated learning (FL) has emerged as a transformative training paradigm, particularly invaluable in privacy-sensitive domains like healthcare. However, client heterogeneity in da…
cs.LG2024
When Molecular GAN Meets Byte-Pair Encoding
Huidong Tang, Chen Li, Yasuhiko Morimoto
Deep generative models, such as generative adversarial networks (GANs), are pivotal in discovering novel drug-like candidates via de novo molecular generation. However, traditional…