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Youcheng Zong

PhD Candidate

About

I am a PhD candidate in Control Science and Engineering at Northeastern University, China. I develop LLM-based methods for industrial forecasting, measurement correction, model adaptation, and decision support. I also study structure-aware visual analysis for medical imaging.

Education

PhD Candidate, Control Science and Engineering

2024–present

Northeastern University

M.Eng., Materials and Chemical Engineering

2021–2024

Anhui University of Technology

B.Eng., Automation

2017–2021

Anhui University of Technology

Education

PhD Candidate, Control Science and Engineering

Northeastern University

2024-09 – Present

College of Information Science and Engineering.

M.Eng., Materials and Chemical Engineering

Anhui University of Technology

2021-09 – 2024-06

School of Metallurgical Engineering.

B.Eng., Automation

Anhui University of Technology

2017-09 – 2021-06

School of Electrical and Information Engineering.

Publications

Recent work across industrial intelligence, time-series modeling, and visual analysis.

Industrial LLMs

LLM-Driven Human-AI Collaborative Decision Support System for Complex Industrial Processes: A Case Study in Metallurgy

A human-AI decision-support architecture integrating feedback-based retrieval, memory-augmented SQL generation, and meta-cognitive tool orchestration.

Youcheng Zong

• Oct 1, 2026

Slender Structure Segmentation

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation

A differentiable Max-Min reachability objective that redirects training gradients toward connectivity bottlenecks in slender-structure segmentation.

Youcheng Zong

• Jul 8, 2026

Specialist Model Adaptation

Open-Ended Scenario Reasoning for Specialist Model Adaptation

A risk-gated Bayesian adaptation framework that uses open-ended scenario evidence to correct frozen specialist models without retraining.

Youcheng Zong

• Jul 7, 2026

Industrial Time Series

LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting

An offline LLM-guided input factorization that lets each numerical window activate task-aware variable semantics before a standard forecasting backbone.

Youcheng Zong

• Jul 7, 2026

Measurement Credibility

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference

A pre-inference correction framework that uses measurement semantics to build independent references for locally inconsistent industrial signals.

Youcheng Zong

• Jul 7, 2026

Industrial Time Series

A meta-contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating

Meta-contrastive adaptation for multi-step temperature forecasting across variable ladle-preheating tasks.

Youcheng Zong

• Dec 1, 2025

View all publications

Projects

Completed

Digital-Twin and LLM Decision Support for Thickening–Dewatering

An operational workflow linking field measurements, condition recognition, a process digital twin, and controlled LLM tools.

RAG Text2SQL Tool Calling Process Monitoring

Multimodal LLM-Assisted Analysis for Oral Mucosal Imaging

A clinician-reviewed workflow that combines oral dermoscopy images, patient reports, and medical knowledge for structured analysis.

Multimodal LLM Image Segmentation Knowledge Retrieval Human Review

JBHI paper Related preprint

Completed

Visual Perception and Energy-Saving Control for LF Refining

A closed-loop workflow connecting furnace imaging, slag-state analysis, bottom-blowing control, and PLC integration.

Process Imaging State Analysis Control Modeling PLC

Completed

Intelligent Transformation and State Recognition for Blast-Furnace Iron Tapping

An end-to-end system for molten-iron level tracking, tapping-state recognition, industrial communication, and digital-twin visualization.

Bi-GRU Post-Processing Classifier Industrial Communication Web Platform

IEEE Sensors Journal PNSMI paper

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Youcheng Zong

About

Education

Education

PhD Candidate, Control Science and Engineering

M.Eng., Materials and Chemical Engineering

B.Eng., Automation

LLM-Driven Human-AI Collaborative Decision Support System for Complex Industrial Processes: A Case Study in Metallurgy

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation

Open-Ended Scenario Reasoning for Specialist Model Adaptation

LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference

A meta-contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating

Projects

Digital-Twin and LLM Decision Support for Thickening–Dewatering

Multimodal LLM-Assisted Analysis for Oral Mucosal Imaging

Visual Perception and Energy-Saving Control for LF Refining

Intelligent Transformation and State Recognition for Blast-Furnace Iron Tapping