Research - NeO Lab

Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization

AAAI 2026

Neural Combinatorial Optimization

Yuanshu Li, Di Wang, Wei Du, Xuan Wu, Peng Zhao, Yubin Xiao, You Zhou

CCF A

Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling

NeurIPS 2025

Neural Combinatorial Optimization

Jiaqi Wang, Zhiguang Cao, Peng Zhao, Rui Cao, Yubin Xiao, Yuan Jiang, You Zhou

CCF A

Visual-Enhanced Multimodal Framework for Flexible Job Shop Scheduling Problem

ACM MM 2025

Neural Combinatorial Optimization

Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang

CCF A

DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning

IJCAI 2025

Neural Combinatorial Optimization

Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang

CCF A

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models

ACM SIGKDD 2025

Large Language Model

Xuan Wu, Di Wang, Chunguo Wu, Lijie Wen, Chunyan Miao, Yubin Xiao, You Zhou

CCF A

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution

ACM SIGKDD 2025

Neural Architecture Search

Wenhao Song, Xuan Wu, Bo Yang, You Zhou, Yubin Xiao, Yanchun Liang, Hongwei Ge, Heow Pueh Lee, Chunguo W'

CCF A

Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning

WWW 2025

Combinatorial Optimization

Peng Zhao, You Zhou, Di Wang, Zhiguang Cao, Yubin Xiao, Xuan Wu, Yuanshu Li, Hongjia Liu, Wei Du, Yuan Jiang, Liupu Wang

CCF A

An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem

ACM SIGKDD 2025

Neural Combinatorial Optimization

Mingzhao Wang, You Zhou, Zhiguang Cao, Yubin Xiao, Xuan Wu, Wei Pang, Yuan Jiang, Hui Yang, Peng Zhao, Yuanshu Li

CCF A

Distilling Autoregressive Models to Obtain High-performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed

AAAI 2024

Neural Combinatorial Optimization

Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, You Zhou

CCF A

Incomplete Multi-view Clustering with Cross-view Generation via Pre-trained Transformer

Pattern Recognition 2025

Multi-view Clustering

Hang Gao, Cheng Liu, Hongming Sun, Gaoyang Li, Ying Li, You Zhou, Wei Du

CCF B

A Generalized Neural Solver based on LLM-guided Heuristic Evolution Framework for Solving Diverse Variants of Vehicle Routing Problems

Expert Systems with Applications 2025

LLM for Code Generation

Minyan Chi, Wei Pang, Xuan Wu, Peng Zhao, YuanShu Li, Tianfang Wang, Junjie Qian, Yubin Xiao, Liupu Wang, You Zhou

CCF C

A Lightweight Model LGCSPNet for Sitting Posture Risk Management Applications

Expert Systems with Applications 2025

Sitting Posture Recognition

Dapeng Wang, Wei Pang, Zheng Cao, Lei Song, Liying An, Xuan Wu, Peng Zhao, Liupu Wang, You Zhou

CCF C

Improving Generalization of Neural Vehicle Routing Problem Solvers through the Lens of Model Architecture

Neural Networks 2025

Neural Combinatorial Optimization

Yubin Xiao, Di Wang, Xuan Wu, Yuesong Wu, Boyang Li, Wei Du, Liupu Wang, and You Zhou

CCF B

Deep Learning Model for Human-intuitive Shoeprint Reconstruction

Expert Systems with Applications 2025

Shoeprint Reconstruction

Muhammad Hassan, Yan Wang, Di Wang, Wei Pang, Daixi Li, You Zhou, Dong Xu, Sami ur-Rahman, Amin ur Rahman, Ahmed Ameen Fateh, Peiwu Qin

CCF C

Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems

IEEE Transactions on Neural Networks and Learning Systems 2024

Neural Combinatorial Optimization

Yubin Xiao, Di Wang, Boyang Li, Huanhuan Chen, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou

CCF B

Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming

IEEE Transactions on Evolutionary Computation 2023

Neural Architecture Search

Xuan Wu, Di Wang, Huanhuan Chen, Lele Yan, Yubin Xiao, Chunyan Miao, Hongwei Ge, Dong Xu, Yanchun Liang, Kangping Wang, Chunguo Wu, You Zhou

CCF B

VDPC: Variational Density Peak Clustering Algorithm

Information Sciences 2023

Clustering

Yizhang Wang, Di Wang, You Zhou, Xiaofeng Zhang, Quek Chai

CCF B

Incorporating surprisingly popular algorithm and euclidean distance-based adaptive topology into PSO

Swarm and Evolutionary Computation 2022

Evolutionary Computation

Xuan Wu, Jizong Han, Di Wang, Pengyue Gao, Quanlong Cui, Liang Chen, Yanchun Liang, Han Huang, Heow Pueh Lee, Chunyan Miao, You Zhou, Chunguo Wu

SCI

IPAS-Net: A Deep-learning Model for Generating High-fidelity Shoeprints from Low-quality Images with No Natural References

Journal of King Saud University-Computer and Information Sciences 2022

Shoeprint Restoration

Muhammad Hassan, Di Wang, Pang Wei, Di Wang, Daixi Li, You Zhou, Dong Xu

SCI

Restorable-inpainting: A Novel Deep Learning Approach for Shoeprint Restoration

Information Sciences 2022

Shoeprint Restoration

Muhammad Hassan, Yan Wang, Di Wang, Wei Pang, Kangping Wang, Daixi Li, You Zhou, Dong Xu

CCF B

Publications

Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization

Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling

Visual-Enhanced Multimodal Framework for Flexible Job Shop Scheduling Problem

DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution

Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning

An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem

Distilling Autoregressive Models to Obtain High-performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed

Incomplete Multi-view Clustering with Cross-view Generation via Pre-trained Transformer

A Generalized Neural Solver based on LLM-guided Heuristic Evolution Framework for Solving Diverse Variants of Vehicle Routing Problems

A Lightweight Model LGCSPNet for Sitting Posture Risk Management Applications

Improving Generalization of Neural Vehicle Routing Problem Solvers through the Lens of Model Architecture

Deep Learning Model for Human-intuitive Shoeprint Reconstruction

Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems

Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming

VDPC: Variational Density Peak Clustering Algorithm

Incorporating surprisingly popular algorithm and euclidean distance-based adaptive topology into PSO

IPAS-Net: A Deep-learning Model for Generating High-fidelity Shoeprints from Low-quality Images with No Natural References

Restorable-inpainting: A Novel Deep Learning Approach for Shoeprint Restoration