Yaowei Wang

Attribute Driven Zero-Shot Classification and Segmentation

2018

Zero-shot classification and segmentation aims to recognize and segment objects of unseen classes. The attribute information, such as color, shape, part and material, is usually used for zero-shot classification. Moreover, we observe that this kind …

NN-Former: Rethinking Graph Structure in Neural Architecture Representation

2025 · arXiv (Cornell University)

The growing use of deep learning necessitates efficient network design and deployment, making neural predictors vital for estimating attributes such as accuracy and latency. Recently, Graph Neural Networks (GNNs) and transformers have shown promising performance …

PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

2021 · arXiv (Cornell University)

Large-scale Pretrained Language Models (PLMs) have become the new paradigm for Natural Language Processing (NLP). PLMs with hundreds of billions parameters such as GPT-3 have demonstrated strong performances on natural language understanding and generation with …