Youcheng Zong

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

Thu, 22 Oct 2026 00:00:00 +0800

Open-Ended Scenario Reasoning for Specialist Model Adaptation

Wed, 21 Oct 2026 00:00:00 +0000

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

Thu, 01 Oct 2026 00:00:00 +0000

LLM-Guided Contextual Action Evaluation for Operational Decisions in Industrial Processes

Tue, 25 Aug 2026 07:16:59 +0000

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

Wed, 08 Jul 2026 08:04:06 +0000

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference

Tue, 07 Jul 2026 10:21:55 +0000

Zero-Shot Capillary Segmentation in Dermoscopy Images via SAM2: A Case Study on Oral Mucosa

Fri, 01 May 2026 00:00:00 +0000

Digital-Twin and LLM Decision Support for Thickening–Dewatering

Sun, 01 Mar 2026 00:00:00 +0000

This project developed an operational decision-support workflow for a thickening–dewatering line. It joins field measurements, condition recognition, a process digital twin, and an LLM layer with retrieval, Text2SQL, and controlled tool use. The public description omits the industrial partner, site, and operating values.

System scope

process-data access and online condition recognition;
a digital representation of the thickening–dewatering equipment;
retrieval over technical documents and structured production data;
tool-mediated analysis with the operator retained in the decision loop.

Research connection

The project supplied an application setting for work on specialist-model adaptation under operating shifts. The associated preprint presents the method and evaluation protocol without exposing production identifiers.

Multimodal LLM-Assisted Analysis for Oral Mucosal Imaging

Sun, 01 Feb 2026 00:00:00 +0000

This ongoing project studies a multimodal workflow for oral mucosal dermoscopy. Images, patient reports, and medical knowledge are combined for structured analysis and clinician review. It is decision support and does not replace clinical judgment.

Research components

oral microvessel and capillary analysis from dermoscopy images;
retrieval of relevant medical knowledge and case context;
multimodal reasoning over images and structured patient information;
evidence presentation and clinician review before any final interpretation.

Related work includes zero-shot capillary segmentation with SAM2 and connectivity-preserving slender-structure segmentation. Only figures from public research outputs are used on this page.

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

Mon, 01 Dec 2025 00:00:00 +0000

XGBoost and CNN-based prediction of external forces and stress-strain during solidification reduction in casting

Fri, 01 Aug 2025 00:00:00 +0000

Investigation of the Mechanism of Central Crack Formation During the Solidification and Reduction Process of GCr15 Bearing Steel

Thu, 01 May 2025 00:00:00 +0000

Hybrid Grid Search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes

Sat, 01 Feb 2025 00:00:00 +0000

Influence of heavy reduction during solidification process of billets based on 3D reconstruction of dendrites

Sat, 01 Feb 2025 00:00:00 +0000

Application of electromagnetic metallurgy in continuous casting: A review

Thu, 01 Feb 2024 00:00:00 +0000

Iron-Tapping State Recognition of Blast Furnace Based on Bi-GRU Composite Model and Post-Processing Classifier

Fri, 01 Sep 2023 00:00:00 +0000

Judgment of blast furnace iron-tapping status based on data differential processing and dynamic window analysis algorithm

Tue, 01 Aug 2023 00:00:00 +0000

Visual Perception and Energy-Saving Control for LF Refining

Thu, 01 Jun 2023 00:00:00 +0000

This project linked visual perception with process control for ladle-furnace refining. It combines furnace imaging and slag-state analysis with a bottom-blowing control model connected to the plant PLC. Partner and site identifiers are omitted.

System scope

process imaging at the LF furnace;
visual analysis of slag state;
bottom-blowing mode selection and control logic;
PLC communication and integration with production software.

The public page reports the system boundary and completed integration only; confidential operating settings and plant-specific control rules are not disclosed.

Intelligent Transformation and State Recognition for Blast-Furnace Iron Tapping

Thu, 01 Dec 2022 00:00:00 +0000

The system combines field instrumentation and communication with molten-iron level tracking, Bi-GRU state recognition, post-processing, and an operator interface. The industrial partner and furnace identifiers are omitted from the public version.

Technical focus

continuous extraction of level-related process signals;
temporal state recognition using a Bi-GRU composite model;
post-processing rules for stable tapping-state decisions;
integration of algorithm services with industrial data and visualization.

Public outputs

The work led to two first-author journal articles and the first-inventor patent CN116678473B, which covers a method for judging the tapping state of a blast-furnace hot-metal ladle.