Vol. 2 No. 02 (2026): International Conference on Artificial Intelligence and Computer Science

Published: 2026-06-30

Articles

SQLMind: A Large-Model–Driven Adaptive Query Optimization Framework for Cloud Databases

Yi Yang, Ziyi Ye, Kaijie Zhang

1-11
- pdf
GBMP-LCA: A Gradient Boosting–Based Framework for Performance Prediction and Life-Cycle Optimization of Green Building Materials

Jiaran Liu, Yuheng Huang

193-204
- pdf
A Cloud-Based Cross-Modal Transformer for Emotion Recognition and Adaptive Human–Computer Interaction

Ziwen Zhong, Zhitao Shu, Yue Zhao

86-96
- pdf
Graph-MARL-CloudLLM: A Graph-enhanced Multi-Agent Reinforcement Learning Framework for Adaptive Resource Scheduling and Workload Optimization of Large Language Model Inference Services across Multi-Cloud Platforms

Min Qiu Trine, Jinxiang Yu, Ningyun Wang

296-312
- PDF
C-MAPPO-TSC: A Collaborative Multi-Agent Reinforcement Learning Framework for Urban Traffic Signal Control and Congestion Mitigation

Pinghao Luo, Xiaotong Ding

170-181
- pdf
Knowledge-Guided Large Language Model for Automatic Pediatric Dental Record Understanding and Safe Antibiotic Recommendation

Zihan Han, Junyan Ge, Caifeng Li

64-75
- pdf
DARC-Sched: A Data-Aware Multi-Agent Large Language Model Framework for Scalable Software Vulnerability Detection and Repair with Optimized Code Data Scheduling

Yanjing Xu, Min Qiu Trine, Huanyu Wu

269-283
- PDF
MedAgentOps: A Distributed Multi-Agent Collaborative Reasoning Infrastructure Based on Memory-Augmented Graph Reasoning Network for Emergency Department Flow Forecasting and Resource Optimization

Hao Hu, Yan Zeng, Weijia Li

146-158
- pdf
A Distributed Hierarchical Spatio-Temporal Edge-Enhanced Graph Neural Network for City-Scale Dynamic Logistics Routing

Zihan Han, Lingran Meng, Jingwei Zhang

43-55
- pdf
L7-COLO: A Cost-Aware Layer-7 Load Balancing Framework with Deep Traffic Prediction for Dynamic Optimization of Enterprise Cloud Services

Chongli Wu, Chengdu Xu, Yuxuan Liu

235-249
- PDF
Distributed Edge-Fog-Cloud Architecture for Intelligent Fault Diagnosis of Permanent Magnet Synchronous Motors Using Temporal Fusion Transformers and Federated Learning

Wenchao Zhang, Mengtong Li, Xing Chen

121-131
- pdf
Uni-FinLLM: A Unified Multimodal Large Language Model with Modular Task Heads for Micro-Level Stock Prediction and Macro-Level Systemic Risk Assessment

Gongao Zhang, Haijiang Zeng, Lu Jiang

12-22
- pdf
PCGAT-Stab: An Explainable Temporal Graph Attention Network for PCIe Protocol Behavior Modeling and System Stability Prediction in Cloud-Native Microservices

Chengde Xu, Jixiang Ding

205-216
- PDF
H2-LBM: A Hierarchical Hybrid Deep Reinforcement Learning Framework for L7 Load Balancing and Global Traffic Scheduling in Multi-Cloud LLM Serving

Chengde Xu, Chongye Wang, Zeyu Li

97-108
- pdf
Adaptive Cache Pollution Control for Large Language Model Inference Workloads Using Temporal CNN-Based Prediction and Priority-Aware Replacement

Songze Liu, Hongkun Du, Shaowen Wang

313-322
- PDF
GastroDL-Fusion: A Dual-Modal Deep Learning Framework Integrating Protein–Ligand Complexes and Gene Sequences for Gastrointestinal Disease Drug Discovery

Ziyang Gao, Annie Cheung, Yihao Ou

34-42
- pdf
DAREA: A Dynamic AI-Driven Architecture for Real Estate Asset Tokenization on Blockchain

Qinhe Zhao, Yuheng Huang

182-192
- pdf
Emotion-Driven Personalized Recommendation for AI-Generated Content Using Multi-Modal Sentiment and Intent Analysis

Zheqi Hu, Xuanjing Chen, Jinlin Hu

76-85
- pdf
STQ-Scheduler: A Secure and Throughput-Aware Deep Reinforcement Learning Framework for QoE-Driven Resource Scheduling in Distributed Video Streaming Systems

Yi-Chun Chang, Minwei Jiang

284-295
- PDF
CA-PPO-AXI: Coverage-Aware Deep Reinforcement Learning for Adaptive AXI Bus Protocol Verification

Jingsi Zhang, Jixiang Ding

159-169
- pdf
A Cloud-Based Spatio-Temporal GNN-Transformer Hybrid Model for Traffic Flow Forecasting with External Feature Integration

Zhuo Zheng, Lingran Meng, Ziyu Lin

56-63
- pdf
HGATS: A Heterogeneous GPU-aware Adaptive Training Scheduler for Large-scale Deep Learning toward BIM-driven Multi-objective Building Energy Retrofit Prediction

Hao Hu Bowling, Ruoxi Xie, Yihan Wang

250-268
- PDF
MWED-Former: A Multi-Scale Weather-Aware Transformer for Emergency Department Demand Forecasting with Weather Bias Correction

Zhuo Chen, Qianya Zhu, Yan Zeng

132-145
- pdf
LLM-based Personalized Portfolio Recommender: Integrating Large Language Models and Reinforcement Learning for Intelligent Investment Strategy Optimization

Bangyu Li, Boping Gu, Ziyang Ding

23-33
- pdf
FactorGraph-RE: A Deep Latent Factor Learning and Graph Attention Network Framework for Intelligent Real Estate Asset Valuation

Yueyang Gao, Yuheng Huang

217-234
- PDF
H2-LBM: A Hierarchical Hybrid Deep Reinforcement Learning Framework for L7 Load Balancing and Global Traffic Scheduling in Multi-Cloud LLM Serving

Chengde Xu, Chongye Wang, Zeyu Li

109-120
- pdf
Human-Machine Collaboration as a Pathway to Reform in Art and Design Education in the Age of Artificial Intelligence: The Case of Chinese Universities

Zheng Yiwen

323-329
- PDF

Vol. 2 No. 02 (2026): International Conference on Artificial Intelligence and Computer Science

Articles

SQLMind: A Large-Model–Driven Adaptive Query Optimization Framework for Cloud Databases

GBMP-LCA: A Gradient Boosting–Based Framework for Performance Prediction and Life-Cycle Optimization of Green Building Materials

A Cloud-Based Cross-Modal Transformer for Emotion Recognition and Adaptive Human–Computer Interaction

Graph-MARL-CloudLLM: A Graph-enhanced Multi-Agent Reinforcement Learning Framework for Adaptive Resource Scheduling and Workload Optimization of Large Language Model Inference Services across Multi-Cloud Platforms

C-MAPPO-TSC: A Collaborative Multi-Agent Reinforcement Learning Framework for Urban Traffic Signal Control and Congestion Mitigation

Knowledge-Guided Large Language Model for Automatic Pediatric Dental Record Understanding and Safe Antibiotic Recommendation

DARC-Sched: A Data-Aware Multi-Agent Large Language Model Framework for Scalable Software Vulnerability Detection and Repair with Optimized Code Data Scheduling

MedAgentOps: A Distributed Multi-Agent Collaborative Reasoning Infrastructure Based on Memory-Augmented Graph Reasoning Network for Emergency Department Flow Forecasting and Resource Optimization

A Distributed Hierarchical Spatio-Temporal Edge-Enhanced Graph Neural Network for City-Scale Dynamic Logistics Routing

L7-COLO: A Cost-Aware Layer-7 Load Balancing Framework with Deep Traffic Prediction for Dynamic Optimization of Enterprise Cloud Services

Distributed Edge-Fog-Cloud Architecture for Intelligent Fault Diagnosis of Permanent Magnet Synchronous Motors Using Temporal Fusion Transformers and Federated Learning

Uni-FinLLM: A Unified Multimodal Large Language Model with Modular Task Heads for Micro-Level Stock Prediction and Macro-Level Systemic Risk Assessment

PCGAT-Stab: An Explainable Temporal Graph Attention Network for PCIe Protocol Behavior Modeling and System Stability Prediction in Cloud-Native Microservices

H2-LBM: A Hierarchical Hybrid Deep Reinforcement Learning Framework for L7 Load Balancing and Global Traffic Scheduling in Multi-Cloud LLM Serving

Adaptive Cache Pollution Control for Large Language Model Inference Workloads Using Temporal CNN-Based Prediction and Priority-Aware Replacement

GastroDL-Fusion: A Dual-Modal Deep Learning Framework Integrating Protein–Ligand Complexes and Gene Sequences for Gastrointestinal Disease Drug Discovery

DAREA: A Dynamic AI-Driven Architecture for Real Estate Asset Tokenization on Blockchain

Emotion-Driven Personalized Recommendation for AI-Generated Content Using Multi-Modal Sentiment and Intent Analysis

STQ-Scheduler: A Secure and Throughput-Aware Deep Reinforcement Learning Framework for QoE-Driven Resource Scheduling in Distributed Video Streaming Systems

CA-PPO-AXI: Coverage-Aware Deep Reinforcement Learning for Adaptive AXI Bus Protocol Verification

A Cloud-Based Spatio-Temporal GNN-Transformer Hybrid Model for Traffic Flow Forecasting with External Feature Integration

HGATS: A Heterogeneous GPU-aware Adaptive Training Scheduler for Large-scale Deep Learning toward BIM-driven Multi-objective Building Energy Retrofit Prediction

MWED-Former: A Multi-Scale Weather-Aware Transformer for Emergency Department Demand Forecasting with Weather Bias Correction

LLM-based Personalized Portfolio Recommender: Integrating Large Language Models and Reinforcement Learning for Intelligent Investment Strategy Optimization

FactorGraph-RE: A Deep Latent Factor Learning and Graph Attention Network Framework for Intelligent Real Estate Asset Valuation

H2-LBM: A Hierarchical Hybrid Deep Reinforcement Learning Framework for L7 Load Balancing and Global Traffic Scheduling in Multi-Cloud LLM Serving

Human-Machine Collaboration as a Pathway to Reform in Art and Design Education in the Age of Artificial Intelligence: The Case of Chinese Universities

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