activity
20232025
collaborators

5 papers

cs.CV2025

DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding

Zhu Wang, Homaira Huda Shomee, Sathya N. Ravi +1

In the field of design patent analysis, traditional tasks such as patent classification and patent image retrieval heavily depend on the image data. However, patent images -- typic…

eess.IV2025

Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images

George R. Nahass, Zhu Wang, Homa Rashidisabet +8

Machine unlearning aims to remove the influence of specific training samples from a trained model without full retraining. While prior work has largely focused on privacy-motivated…

cs.IR2024

A Survey on Patent Analysis: From NLP to Multimodal AI

Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi +1

Recent advances in Pretrained Language Models (PLMs) and Large Language Models (LLMs) have demonstrated transformative capabilities across diverse domains. The field of patent anal…

cs.LG2023

Accelerated Neural Network Training with Rooted Logistic Objectives

Zhu Wang, Praveen Raj Veluswami, Harsh Mishra +1

Many neural networks deployed in the real world scenarios are trained using cross entropy based loss functions. From the optimization perspective, it is known that the behavior of…

cs.LG2023

Contextualized Structural Self-supervised Learning for Ontology Matching

Zhu Wang

Ontology matching (OM) entails the identification of semantic relationships between concepts within two or more knowledge graphs (KGs) and serves as a critical step in integrating…