Dit‐Yan Yeung

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

2022 · arXiv (Cornell University)

Conventionally, Earth system (e.g., weather and climate) forecasting relies on numerical simulation with complex physical models and are hence both expensive in computation and demanding on domain expertise. With the explosive growth of the spatiotemporal …

Rethinking Targeted Adversarial Attacks For Neural Machine Translation

2024 · arXiv (Cornell University)

Targeted adversarial attacks are widely used to evaluate the robustness of neural machine translation systems. Unfortunately, this paper first identifies a critical issue in the existing settings of NMT targeted adversarial attacks, where their attacking …

Collaborative Deep Learning for Recommender Systems

2015

Collaborative filtering (CF) is a successful approach commonly used by many recommender systems. Conventional CF-based methods use the ratings given to items by users as the sole source of information for learning to make recommendation. …