Haomin Yu

According to our database, Haomin Yu authored at least 18 papers between 2010 and 2023.

Collaborative distances:

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

2023

CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework.

Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li

IEEE Trans. Knowl. Data Eng., October, 2023

A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction.

Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang

CoRR, 2023

Autonomous Conscious Humanoid Robot System.

Zhijun Zhang, Haomin Yu, Wentong Wang, Yamei Luo

Proceedings of the 5th International Conference on Robotics, 2023

2022

HMD-Net: A Vehicle Hazmat Marker Detection Benchmark.

Lei Jia, Jianzhu Wang, Tianyuan Wang, Xiaobao Li, Haomin Yu, Qingyong Li

Entropy, 2022

LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation.

Xinyuan Zhou, Yangli-ao Geng, Haomin Yu, Qingyong Li, Liangtao Xu, Wen Yao, Dong Zheng, Yijun Zhang

Appl. Intell., 2022

2021

MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors.

Haomin Yu, Yangli-ao Geng, Yingjun Zhang, Qingyong Li, Jiayu Zhou

CoRR, 2021

From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection.

Wenkai Cui, Jianzhu Wang, Haomin Yu, Wenjuan Peng, Le Wang, Shengchun Wang, Peng Dai, Qingyong Li

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction.

Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting.

Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, Qingyong Li

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

2020

Online Rail Surface Inspection Utilizing Spatial Consistency and Continuity.

Jinrui Gan, Jianzhu Wang, Haomin Yu, Qingyong Li, Zhiping Shi

IEEE Trans. Syst. Man Cybern. Syst., 2020

A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling.

Haomin Yu, Qingyong Li, Rao Wang, Zechuan Chen, Yingjun Zhang, Yangli-ao Geng, Ling Zhang, Houxin Cui, Ke Zhang

IEEE Trans. Instrum. Meas., 2020

Surface Defect Detection via Entity Sparsity Pursuit With Intrinsic Priors.

Jianzhu Wang, Qingyong Li, Jinrui Gan, Haomin Yu, Xi Yang

IEEE Trans. Ind. Informatics, 2020

EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction.

Zechuan Chen, Haomin Yu, Yangli-ao Geng, Qingyong Li, Yingjun Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks.

Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Coarse-to-Fine Model for Rail Surface Defect Detection.

Haomin Yu, Qingyong Li, Yunqiang Tan, Jinrui Gan, Jianzhu Wang, Yangli-ao Geng, Lei Jia

IEEE Trans. Instrum. Meas., 2019

2017

Analysis and experimental demonstration of an optical switching enabled scalable data center network architecture.

Dongxu Zhang, Hongxiang Guo, Gang Chen, Yong Zhu, Haomin Yu, Jialiang Wang, Jian Wu

Opt. Switch. Netw., 2017

Fabric defect detection based on improved low-rank and sparse matrix decomposition.

Jianzhu Wang, Qingyong Li, Jinrui Gan, Haomin Yu

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2010

Efficient partial-duplicate detection based on sequence matching.

Qi Zhang, Yue Zhang, Haomin Yu, Xuanjing Huang

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010