Yifan Zhang

Secure Privacy Preserving across Personal Health Data and Single Cell Genomics Research INSPIRE Academic Pedagogy — Merging Big Data Multiplatform with Deep Learning

2017

Enhancing student academic performance and transdisciplinary ability is challenging, but the time and effort put into accomplishing this ambitious feat is priceless. We develop secure privacy preserving across Personal Health Data (PHD) repository and single-cell …

University Discipline Construction Progress Monitoring System

2019

With the continuous development of information technology and the rapid growth of the population of higher education in developing countries, the education revolution of the new era is coming. It has become an important part …

Online Adaptive Asymmetric Active Learning with Limited Budgets

2019 · arXiv (Cornell University)

Online Active Learning (OAL) aims to manage unlabeled datastream by selectively querying the label of data. OAL is applicable to many real-world problems, such as anomaly detection in health-care and finance. In these problems, there …

Adaptive cost-sensitive online classification

2019 · Singapore Management University Institutional Knowledge (InK) (Singapore Management University)

National Research Foundation (NRF) Singapore under International Research Centres in Singapore Funding Initiative

Improving Authorship Verification using Linguistic Divergence

2021 · arXiv (Cornell University)

We propose an unsupervised solution to the Authorship Verification task that utilizes pre-trained deep language models to compute a new metric called DV-Distance. The proposed metric is a measure of the difference between the two …

Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification

2022 · arXiv (Cornell University)

Deep learning (DL) has made significant progress in angle closure classification with anterior segment optical coherence tomography (AS-OCT) images. These AS-OCT images are often acquired by different imaging devices/conditions, which results in a vast change …

Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment

2023 · arXiv (Cornell University)

Source-free Unsupervised Domain Adaptation (SF-UDA) aims to adapt a well-trained source model to an unlabeled target domain without access to the source data. One key challenge is the lack of source data during domain adaptation. …

GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

2023 · arXiv (Cornell University)

Decision-makers in GIS need to combine a series of spatial algorithms and operations to solve geospatial tasks. For example, in the task of facility siting, the Buffer tool is usually first used to locate areas …

Pre-Training Representations of Binary Code Using Contrastive Learning

2023

<p>Binary code analysis and comprehension is critical to applications in reverse engineering and computer security tasks where source code is not available. Unfortunately, unlike source code, binary code lacks semantics and is more difficult for …

From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?

2023 · arXiv (Cornell University)

Test-time adaptation (TTA) aims to adapt a model, initially trained on training data, to test data with potential distribution shifts. Most existing TTA methods focus on classification problems. The pronounced success of classification might lead …

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

2024 · arXiv (Cornell University)

Visual mathematical reasoning, as a fundamental visual reasoning ability, has received widespread attention from the Large Multimodal Models (LMMs) community. Existing benchmarks, such as MathVista and MathVerse, focus more on the result-oriented performance but neglect …

Chatbot To Help Patients Understand Their Health

2025 · arXiv (Cornell University)

Patients must possess the knowledge necessary to actively participate in their care. We present NoteAid-Chatbot, a conversational AI that promotes patient understanding via a novel 'learning as conversation' framework, built on a multi-agent large language …