Bowen Zhang

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale

2024 · arXiv (Cornell University)

Source-Free Unsupervised Domain Adaptation (SFUDA) is a challenging task where a model needs to be adapted to a new domain without access to target domain labels or source domain data. The primary difficulty in this …

Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Graph

2024 · arXiv (Cornell University)

The proposed research aims to develop an innovative semantic query processing system that enables users to obtain comprehensive information about research works produced by Computer Science (CS) researchers at the Australian National University (ANU). The …

A Survey of Stance Detection on Social Media: New Directions and Perspectives

2024 · arXiv (Cornell University)

In modern digital environments, users frequently express opinions on contentious topics, providing a wealth of information on prevailing attitudes. The systematic analysis of these opinions offers valuable insights for decision-making in various sectors, including marketing …

CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation

2024 · arXiv (Cornell University)

Class-incremental semantic segmentation (CSS) requires that a model learn to segment new classes without forgetting how to segment previous ones: this is typically achieved by distilling the current knowledge and incorporating the latest data. However, …

StructRAG: Structure-Aware RAG Framework with Scholarly Knowledge Graph for Diverse Question Answering

2025

Recent advances in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) have shown promise in academic question answering. However, existing approaches often fail to fully utilize document structural information and lack diversity in retrieved contexts. …

Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data

2025 · Advanced Intelligent Systems

The early detection and accurate diagnosis of cancer is of great significance for cancer patients. Artificial intelligences rapid advancement has boosted clinlabomics, bridging clinical lab data with intelligent systems. Inspired by clinlabomics, a liquid biopsy …

PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity

2025 · arXiv (Cornell University)

Conditional Semantic Textual Similarity (C-STS) measures the semantic proximity between text segments under a specific condition, thereby overcoming the ambiguity inherent in traditional STS. However, existing methods are largely confined to discriminative models, failing to …