Shuxin Lin

According to our database, Shuxin Lin authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows.

Harshada Badave, Santosh Borse, Andrea Gomez, Harshitha Narahari, Sara Carter, Vishwa Bhatt, Aishani Rachakonda, Shuxin Lin, Dhaval Patel

CoRR, May, 2026

Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds.

Prateek Biswas, Dhaval Patel, Vedant Khandelwal, Shuxin Lin, Amit P. Sheth

CoRR, May, 2026

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules.

Devin Yasith De Silva, Dhaval Patel, Christodoulos Constantinides, Shuxin Lin, Nianjun Zhou, Paul J. Adams, Sal Rosato, Nicolas Constantinides, Deborah L. McGuinness, Jayant Kalagnanam

CoRR, May, 2026

Results and Retrospective Analysis of the CODS 2025 AssetOpsBench Challenge.

Dhaval Patel, Chathurangi Shyalika, Suryanarayana Reddy Yarrabothula, Ling Yue, Shuxin Lin, Nianjun Zhou, James T. Rayfield

CoRR, May, 2026

From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents.

Ling Yue, Kushal Raj Bhandari, Ching-Yun Ko, Dhaval Patel, Shuxin Lin, Nianjun Zhou, Jianxi Gao, Pin-Yu Chen, Shaowu Pan

CoRR, March, 2026

AssetOpsBench-Live: Privacy-Aware Online Evaluation of Multi-Agent Performance in Industrial Operations.

Dhaval Patel, Nianjun Zhou, Shuxin Lin, James T. Rayfield, Chathurangi Shyalika, Suryanarayana Reddy Yarrabothula

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Building General Purpose Embedding Models for Industry 4.0 Agents.

Christodoulos Constantinides, Shuxin Lin, Dhaval Patel

CoRR, June, 2025

Chat-of-Thought: Collaborative Multi-Agent System for Generating Domain Specific Information.

Christodoulos Constantinides, Shuxin Lin, Nianjun Zhou, Dhaval Patel

CoRR, June, 2025

AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance.

Dhaval Patel, Shuxin Lin, James T. Rayfield, Nianjun Zhou, Roman Vaculín, Natalia Martinez Gil, Fearghal O'Donncha, Jayant Kalagnanam

CoRR, June, 2025

LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience.

Nimesh Jha, Shuxin Lin, Srideepika Jayaraman, Kyle Frohling, Christodoulos Constantinides, Dhaval Patel

CoRR, January, 2025

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes.

Christodoulos Constantinides, Dhaval Patel, Shuxin Lin, Claudio Guerrero, Sunil Dagajirao Patil, Jayant Kalagnanam

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ReAct Meets Industrial IoT: Language Agents for Data Access.

James T. Rayfield, Shuxin Lin, Nianjun Zhou, Dhaval Patel

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health Monitoring.

Shuxin Lin, Dhaval C. Patel, Christodoulos Constantinides

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Generalized Embedding Models for Industry 4.0 Applications.

Christodoulos Constantinides, Shuxin Lin, Dhaval C. Patel

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Towards Automated Solution Recipe Generation for Industrial Asset Management with LLM.

Nianjun Zhou, Dhaval Patel, Shuxin Lin, Fearghal O'Donncha

CoRR, 2024

2023

AI Model Factory: Scaling AI for Industry 4.0 Applications.

Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DSServe - Data Science using Serverless.

Dhaval Patel, Shuxin Lin, Jayant Kalagnanam

Proceedings of the IEEE International Conference on Big Data, 2022

AnomalyKiTS: Anomaly Detection Toolkit for Time Series.

Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An optical biomimetic eyes with interested object imaging.

Jun Li, Shimei Chen, Shangyuan Wang, Miao Lei, Xiaofang Dai, Chuangxue Liang, Kunyuan Xu, Shuxin Lin, Yuhui Li, Yuer Fan, Ting Zhong

CoRR, 2021

Scaling Anomaly Detection Service Using Serverless Technology.

Dhaval Patel, Shuxin Lin, Srideepika Jayaraman, Giridhar Ganapavarapu, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021