Publications

Our latest research

Type

Topic

Domain

2026

From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP

Zhixing Li, Yinan Yu

The 19th European Conference on Computer Vision (ECCV 2026)

Conference VLMMultimodal LearningComputer Vision

https://arxiv.org/abs/2606.26535

Recognizing as-built building materials: a systematic mapping study

Josie Harrison, Yinan Yu, Alexander Hollberg

Expert Systems with Applications, pp. 132376

Journal Computer VisionML/DL

https://www.sciencedirect.com/science/article/pii/S0957417426012893

GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics

Arsham Gholamzadeh Khoee, Shuai Wang, Robert Feldt, Dhasarathy Parthasarathy, Yinan Yu

Journal of Systems and Software, 240, pp. 112961

Journal LLMSoftware Engineering

doi:10.1016/j.jss.2026.112961 https://www.sciencedirect.com/science/article/pii/S0164121226001949

Latent Domain Prompt Learning for Vision-Language Models

Zhixing Li, Arsham Gholamzadeh Khoee, Yinan Yu

The 51st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026)

Conference VLMMultimodal LearningComputer Vision

https://arxiv.org/abs/2511.00067

KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning

Shuai Wang, Yinan Yu

International Joint Conference on Neural Networks (IJCNN 2026)

Conference LLMNLPKnowledge Graphs

https://arxiv.org/abs/2603.21440

DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation

Shuai Wang, Dhasarathy Parthasarathy, Robert Feldt, Yinan Yu

The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026)

Conference LLMSoftware EngineeringKnowledge Graphs

https://arxiv.org/abs/2603.21430

LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study

Shuai Wang, Yinan Yu, Earl T. Barr, Dhasarathy Parthasarathy

The 34th ACM International Conference on the Foundations of Software Engineering (FSE 2026)

Conference LLMSoftware Engineering

https://arxiv.org/abs/2603.21439

Topology-Aware Reasoning over Incomplete Knowledge Graph with Graph-Based Soft Prompting

Shuai Wang, Xixi Wang, Yinan Yu

arXiv preprint, abs/2604.12503

Preprint NLPLLMKnowledge Graphs

doi:10.48550/arXiv.2604.12503

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning

Shuai Wang, Yinan Yu

arXiv preprint, abs/2604.12487

Preprint NLPLLMKnowledge Graphs

doi:10.48550/arXiv.2604.12487

2025

AI-based hospitalisation detection in telemonitoring data from heart failure patients

Erik Aerts, Yinan Yu, Annika Rosengren, Mengxi Fu, Martin Lindgren, Martin Adiels, Helen Sjöland

European Heart Journal, 46(Supplement_1)

Conference ML/DL

doi:10.1093/eurheartj/ehaf784.4400

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study

Shuai Wang, Yinan Yu, Robert Feldt, Dhasarathy Parthasarathy

IEEE/ACM 47th International Conference on Software Engineering (ICSE 2025), pp. 373-384

Conference LLMSoftware Engineering

doi:10.1109/ICSE55347.2025.00211

iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering

Shuai Wang, Yinan Yu

63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), 1, pp. 15616-15628

Conference NLPLLMKnowledge Graphs

doi:10.18653/v1/2025.acl-long.760 https://aclanthology.org/2025.acl-long.760/

Domain-Invariant Prompt Learning for Vision-Language Models

Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt

1st SCOPE Workshop at the 13th International Conference on Learning Representations (ICLR 2025)

Conference VLMMultimodal LearningComputer Vision

doi:10.48550/arXiv.2603.28555 https://openreview.net/forum?id=SODTFGcNfp

Cost-Aware Prediction (CAP): An LLM-Enhanced Machine Learning Pipeline and Decision Support System for Heart Failure Mortality Prediction

Yinan Yu, Falk Dippel, Christina E. Lundberg, Martin Lindgren, Annika Rosengren, Martin Adiels, Helen Sjöland

arXiv preprint, abs/2511.15357

Preprint ML/DLLLM

doi:10.48550/arXiv.2511.15357

Predicting one-year clinical instability and mortality in heart failure patients using sequence modeling

Falk Dippel, Yinan Yu, Annika Rosengren, Martin Lindgren, Christina E. Lundberg, Erik Aerts, Martin Adiels, Helen Sjöland

arXiv preprint, abs/2511.16839

Preprint ML/DL

doi:10.48550/arXiv.2511.16839

Publications

2026

From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP

Recognizing as-built building materials: a systematic mapping study

GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics

Latent Domain Prompt Learning for Vision-Language Models

KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning

DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation

LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study

Topology-Aware Reasoning over Incomplete Knowledge Graph with Graph-Based Soft Prompting

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning

2025

AI-based hospitalisation detection in telemonitoring data from heart failure patients

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study

iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering

Domain-Invariant Prompt Learning for Vision-Language Models

Cost-Aware Prediction (CAP): An LLM-Enhanced Machine Learning Pipeline and Decision Support System for Heart Failure Mortality Prediction

Predicting one-year clinical instability and mortality in heart failure patients using sequence modeling

2024

Building efficient CNNs using Depthwise Convolutional Eigen-Filters (DeCEF)

climateBUG: A data-driven framework for analyzing bank reporting through a climate lens

Domain generalization through meta-learning: a survey

GoNoGo: An Efficient LLM-Based Multi-agent System for Streamlining Automotive Software Release Decision-Making

Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data