Sijia Wang

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

2020 · JAMA Network Open

Importance: Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives. Objective: To evaluate whether AI can overcome …

GAN Memory with No Forgetting

2020 · arXiv (Cornell University)

As a fundamental issue in lifelong learning, catastrophic forgetting is directly caused by inaccessible historical data; accordingly, if the data (information) were memorized perfectly, no forgetting should be expected. Motivated by that, we propose a …

AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

2023 · arXiv (Cornell University)

We propose attribute-aware multimodal entity linking, where the input consists of a mention described with a text paragraph and images, and the goal is to predict the corresponding target entity from a multimodal knowledge base …

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization

2025 · IEEE Transactions on Circuits and Systems for Video Technology

The goal of single domain generalization is to use data from a single domain (source domain) to train a model, which is then deployed over several unknown domains for testing (target domains). This study introduces …

Artificial intelligence empowered biological research: Paradigm shifts, application scenarios, and strategic layout

2026 · Zhongguo Kexueyuan yuankan

Life related processes are characterized by high dimensionality and multi-scale properties. Understanding mechanisms underpinning life processes helps promote national healthcare, agricultural development, sustainable ecological civilization, and national security. Current life science research is confronted with …