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Haomin Yu
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2020 – today
- 2024
- [j9]Zhijun Zhang, Haomin Yu, Xiaohui Ren, Yamei Luo:
A swarm exploring neural dynamics method for solving convex multi-objective optimization problem. Neurocomputing 601: 128203 (2024) - [c9]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. ECML/PKDD (10) 2024: 231-246 - 2023
- [j8]Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li:
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. IEEE Trans. Knowl. Data Eng. 35(10): 10125-10139 (2023) - [c8]Zhijun Zhang, Haomin Yu, Wentong Wang, Yamei Luo:
Autonomous Conscious Humanoid Robot System. RICAI 2023: 100-107 - [i2]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang:
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. CoRR abs/2306.05344 (2023) - 2022
- [j7]Xinyuan Zhou, Yangli-ao Geng, Haomin Yu, Qingyong Li, Liangtao Xu, Wen Yao, Dong Zheng, Yijun Zhang:
LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation. Appl. Intell. 52(10): 11147-11159 (2022) - [j6]Lei Jia, Jianzhu Wang, Tianyuan Wang, Xiaobao Li, Haomin Yu, Qingyong Li:
HMD-Net: A Vehicle Hazmat Marker Detection Benchmark. Entropy 24(4): 466 (2022) - 2021
- [c7]Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, Qingyong Li:
DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting. IEEE BigData 2021: 1679-1685 - [c6]Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin:
MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. ECML/PKDD (5) 2021: 201-217 - [c5]Wenkai Cui, Jianzhu Wang, Haomin Yu, Wenjuan Peng, Le Wang, Shengchun Wang, Peng Dai, Qingyong Li:
From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection. PRCV (2) 2021: 115-126 - [i1]Haomin Yu, Yangli-ao Geng, Yingjun Zhang, Qingyong Li, Jiayu Zhou:
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors. CoRR abs/2105.04425 (2021) - 2020
- [j5]Jianzhu Wang, Qingyong Li, Jinrui Gan, Haomin Yu, Xi Yang:
Surface Defect Detection via Entity Sparsity Pursuit With Intrinsic Priors. IEEE Trans. Ind. Informatics 16(1): 141-150 (2020) - [j4]Haomin Yu, Qingyong Li, Rao Wang, Zechuan Chen, Yingjun Zhang, Yangli-ao Geng, Ling Zhang, Houxin Cui, Ke Zhang:
A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling. IEEE Trans. Instrum. Meas. 69(9): 7167-7179 (2020) - [j3]Jinrui Gan, Jianzhu Wang, Haomin Yu, Qingyong Li, Zhiping Shi:
Online Rail Surface Inspection Utilizing Spatial Consistency and Continuity. IEEE Trans. Syst. Man Cybern. Syst. 50(7): 2741-2751 (2020) - [c4]Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei:
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. AAAI 2020: 1129-1136 - [c3]Zechuan Chen, Haomin Yu, Yangli-ao Geng, Qingyong Li, Yingjun Zhang:
EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction. IEEE BigData 2020: 4545-4552
2010 – 2019
- 2019
- [j2]Haomin Yu, Qingyong Li, Yunqiang Tan, Jinrui Gan, Jianzhu Wang, Yangli-ao Geng, Lei Jia:
A Coarse-to-Fine Model for Rail Surface Defect Detection. IEEE Trans. Instrum. Meas. 68(3): 656-666 (2019) - 2017
- [j1]Dongxu Zhang, Hongxiang Guo, Gang Chen, Yong Zhu, Haomin Yu, Jialiang Wang, Jian Wu:
Analysis and experimental demonstration of an optical switching enabled scalable data center network architecture. Opt. Switch. Netw. 23: 205-214 (2017) - [c2]Jianzhu Wang, Qingyong Li, Jinrui Gan, Haomin Yu:
Fabric defect detection based on improved low-rank and sparse matrix decomposition. ICIP 2017: 2776-2780 - 2010
- [c1]Qi Zhang, Yue Zhang, Haomin Yu, Xuanjing Huang:
Efficient partial-duplicate detection based on sequence matching. SIGIR 2010: 675-682
Coauthor Index
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last updated on 2024-09-13 01:41 CEST by the dblp team
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