Efficient partial-duplicate detection based on sequence matching. - Qi Zhang 001; Yue Zhang 004; Haomin Yu; Xuanjing Huang 001 (SIGIR, 2010)

Fabric defect detection based on improved low-rank and sparse matrix decomposition. - Jianzhu Wang; Qingyong Li; Jinrui Gan; Haomin Yu (ICIP, 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 010 (Opt. Switch. Netw., 2017)

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)

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 001 (AAAI, 2020)

EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction. - Zechuan Chen; Haomin Yu; Yangli-ao Geng; Qingyong Li; Yingjun Zhang (IEEE BigData, 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)

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)

Online Rail Surface Inspection Utilizing Spatial Consistency and Continuity. - Jinrui Gan; Jianzhu Wang; Haomin Yu; Qingyong Li; Zhiping Shi 002 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting. - Dong Li; Haomin Yu; Yangli-ao Geng; Xiaobao Li; Qingyong Li (IEEE BigData, 2021)

MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. - Haomin Yu; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (ECML/PKDD (5), 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 (PRCV (2), 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)

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 002 (Appl. Intell., 2022)

HMD-Net: A Vehicle Hazmat Marker Detection Benchmark. - Lei Jia; Jianzhu Wang; Tianyuan Wang; Xiaobao Li; Haomin Yu; Qingyong Li (Entropy, 2022)

Autonomous Conscious Humanoid Robot System. - Zhijun Zhang 003; Haomin Yu; Wentong Wang; Yamei Luo (RICAI, 2023)

A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. - Haomin Yu; Yanru Song 001; Jilin Hu; Chenjuan Guo; Bin Yang 002 (CoRR, 2023)

CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. - Haomin Yu; Jilin Hu; Xinyuan Zhou; Chenjuan Guo; Bin Yang 002; Qingyong Li (IEEE Trans. Knowl. Data Eng., 2023)

A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. - Haomin Yu; Yanru Song 001; Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (ECML/PKDD (10), 2024)

A swarm exploring neural dynamics method for solving convex multi-objective optimization problem. - Zhijun Zhang 003; Haomin Yu; Xiaohui Ren; Yamei Luo (Neurocomputing, 2024)

A Memory Guided Transformer for Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Bin Yang 002; Haomin Yu; Kai Zhao 009; Christian S. Jensen (Proc. VLDB Endow., 2024)

A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction. - Haomin Yu; Tianyi Li 005; Kristian Torp; Christian S. Jensen (CoRR, 2025)

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting. - Haichen Wang; Liu Yang; Xinyuan Zhang; Haomin Yu; Ming Li; Jilin Hu (CoRR, 2025)