← Search

Shaohua Zhang

7 accepted papers

2026

GeoProblem Factory: A Visual Interaction System for Solvable and Controllable Geometric Problem Generation by Leveraging Symbolic Deduction Engine

AAAI 2026technical

We propose a novel system, GeoProblem Factory, designed to effectively generate high-quality geometry problems for intelligent education. The system enables to efficiently produce batches of geometry problems for teachers and students, either to save time and manual effort or to support personalized

Cited by 0SourcePDFScholar
2026

Real-Time Coverage Path Planning for Bone-Aware Robotic Ultrasound Scanning

RA-L 2026

Robotic ultrasound systems offer significant potential for automated organ coverage scanning, yet acoustic shadows from bone structures can cause incomplete scans and missed diagnoses. This work presents a real-time coverage path planning method for bone-aware robotic ultrasound scanning. A voxel ba

Cited by 0SourceScholar
2025

MambaSlip: A Novel Multimodal Large Language Model for Real-Time Robotic Slip Detection

RA-L 2025

The current robotic sliding detection tasks lack an effective contextual reasoning mechanism, which leads to inaccurate decision-making in unknown environments. To address this issue, we propose MambaSlip, which leverages the advantages of large language models (LLMs) in context understanding and re

Cited by 2SourceScholar
2025

MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs

AAAI 2025technical

We propose a novel system, MathMistake Checker, designed to automate step-by-step mistake finding in mathematical problems with lengthy answers through a two-stage process. The system aims to simplify grading, increase efficiency, and enhance learning experiences from a pedagogical perspective. It i…

Cited by 0SourcePDFScholar
2025

Robust Robotic Breast Ultrasound Scanning and Real-Time Lesion Localization

ICRA 2025

The inherent flexibility and real-time deformation of breast tissue pose significant challenges for achieving full coverage and accurate lesion localization in autonomous breast ultrasound scanning. This paper introduces a robust finite state machine-based framework that mimics the decision-making p

Cited by 0SourceScholar
2023

Rethinking Masked Language Modeling for Chinese Spelling Correction

ACL 2023long

In this paper, we study Chinese Spelling Correction (CSC) as a joint decision made by two separate models: a language model and an error model. Through empirical analysis, we find that fine-tuning BERT tends to over-fit the error model while under-fit the language model, resulting in poor generaliza…