A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction - Haomin Yu; Tianyi Li; 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)

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

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

A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation - Haomin Yu; Yanru Song; Jilin Hu; Chenjuan Guo; Bin Yang; Christian S. Jensen (Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part X, 2024)

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., 2023)

Autonomous Conscious Humanoid Robot System - Zhijun Zhang; Haomin Yu; Wentong Wang; Yamei Luo (5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023, Hangzhou, China, December 1-3, 2023, 2023)

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

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)

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

DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting - Dong Li; Haomin Yu; Yangli-ao Geng; Xiaobao Li; Qingyong Li (2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, 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 (Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part V, 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 (Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II, 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)

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 (IEEE Trans. Syst. Man Cybern. Syst., 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 (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction - Zechuan Chen; Haomin Yu; Yangli-ao Geng; Qingyong Li; Yingjun Zhang (2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, 2020)

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)

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 (2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017, 2017)

Efficient partial-duplicate detection based on sequence matching - Qi Zhang; Yue Zhang; Haomin Yu; Xuanjing Huang (Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010, Geneva, Switzerland, July 19-23, 2010, 2010)