Qing Wang

Research on cloud computing task scheduling algorithm based on particle swarm optimization

2018 · Journal of Computational Methods in Sciences and Engineering

In the field of cloud computing, Particle swarm optimization (PSO) is an important intelligent algorithm for solving the task scheduling problem, and has been rapidly developed. In order to improve the overall optimization ability, and …

A Deep Context-wise Method for Coreference Detection in Natural Language Requirements

2020

Requirements are usually written by different stakeholders with diverse backgrounds and skills and evolve continuously. Therefore inconsistency caused by specialized jargons and different domains, is inevitable. In particular, entity coreference in Requirement Engineering (RE) is …

Learning to extract transaction function from requirements: an industrial case on financial software

2020

In practice, it is very important to determine the size of a proposed software system yet to be built based on its requirements, i.e., early in the development life cycle. The most widely used approach …

An Approach to Detecting Bugs in Pattern-Based Bug Detectors

2021 · arXiv (Cornell University)

Static bug finders have been widely-adopted by developers to find bugs in real world software projects. They leverage predefined heuristic static analysis rules to scan source code or binary code of a software project, and …

A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning

2022

Background. Issues are prevalent, and identifying the correct priority of the reported issues is crucial to reduce the maintenance effort and ensure higher software quality. There are several approaches for the automatic priority prediction, yet …

TSUP Speaker Diarization System for Conversational Short-phrase Speaker Diarization Challenge

2022 · arXiv (Cornell University)

This paper describes the TSUP team's submission to the ISCSLP 2022 conversational short-phrase speaker diarization (CSSD) challenge which particularly focuses on short-phrase conversations with a new evaluation metric called conversational diarization error rate (CDER). In …

The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps

2022

As the bridge between users and software, Graphical User Interface (GUI) is critical to the app accessibility. Scaling up the font or display size of GUI can help improve the visual impact, readability, and usability …

See then Tell: Enhancing Key Information Extraction with Vision Grounding

2024 · arXiv (Cornell University)

In the digital era, the ability to understand visually rich documents that integrate text, complex layouts, and imagery is critical. Traditional Key Information Extraction (KIE) methods primarily rely on Optical Character Recognition (OCR), which often …

TELEVAL: A Dynamic Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios

2025 · arXiv (Cornell University)

Spoken language models (SLMs) have advanced rapidly in recent years, accompanied by a growing number of evaluation benchmarks. However, most existing benchmarks emphasize task completion and capability scaling, while remaining poorly aligned with how users …

Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Distributed multi-agent systems are increasingly deployed in dynamic and high-stakes environments such as power grids, intelligent traffic systems, and collaborative robotics. In these systems, long-term stability, the ability to maintain coherent and safe system behavior …