Haomin Yu

28 papers A* 4B 2Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design.
AAAI
Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu
2025 B conf
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction.
SSTD
Haomin Yu, Tianyi Li, Kristian Torp, Christian S. Jensen
2025 J jnl
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction.
CoRR
Haomin Yu, Tianyi Li, Kristian Torp, Christian S. Jensen
2025 A* conf
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting.
IJCAI
Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu
2025 J jnl
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting.
CoRR
Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu
2025 J jnl
CrackCLIP: Adapting Vision-Language Models for Weakly Supervised Crack Segmentation.
Entropy
Fengjiao Liang, Qingyong Li, Haomin Yu, Wen Wang
2025 J jnl
SculptDrug : A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design.
CoRR
Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu
2024 — conf
A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation.
ECML/PKDD (10)
Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2024 J jnl
A Memory Guided Transformer for Time Series Forecasting.
Proc. VLDB Endow.
Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen
2024 J jnl
A swarm exploring neural dynamics method for solving convex multi-objective optimization problem.
Neurocomputing
Zhijun Zhang, Haomin Yu, Xiaohui Ren, Yamei Luo
2023 J jnl
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction.
CoRR
Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang
2023 — conf
Autonomous Conscious Humanoid Robot System.
RICAI
Zhijun Zhang, Haomin Yu, Wentong Wang, Yamei Luo
2023 J jnl
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework.
IEEE Trans. Knowl. Data Eng.
Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li
2022 J jnl
HMD-Net: A Vehicle Hazmat Marker Detection Benchmark.
Entropy
Lei Jia, Jianzhu Wang, Tianyuan Wang, Xiaobao Li, Haomin Yu, Qingyong Li
2022 J jnl
LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation.
Appl. Intell.
Xinyuan Zhou, Yangli-ao Geng, Haomin Yu, Qingyong Li, Liangtao Xu, Wen Yao, Dong Zheng, Yijun Zhang
2021 — conf
DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting.
IEEE BigData
Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, Qingyong Li
2021 — conf
From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection.
PRCV (2)
Wenkai Cui, Jianzhu Wang, Haomin Yu, Wenjuan Peng, Le Wang, Shengchun Wang, Peng Dai, Qingyong Li
2021 — conf
MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction.
ECML/PKDD (5)
Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
2021 J jnl
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors.
CoRR
Haomin Yu, Yangli-ao Geng, Yingjun Zhang, Qingyong Li, Jiayu Zhou
2020 J jnl
A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling.
IEEE Trans. Instrum. Meas.
Haomin Yu, Qingyong Li, Rao Wang, Zechuan Chen, Yingjun Zhang, Yangli-ao Geng, Ling Zhang, Houxin Cui, Ke Zhang
2020 A* conf
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks.
AAAI
Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei
2020 — conf
EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction.
IEEE BigData
Zechuan Chen, Haomin Yu, Yangli-ao Geng, Qingyong Li, Yingjun Zhang
2020 J jnl
Online Rail Surface Inspection Utilizing Spatial Consistency and Continuity.
IEEE Trans. Syst. Man Cybern. Syst.
Jinrui Gan, Jianzhu Wang, Haomin Yu, Qingyong Li, Zhiping Shi
2020 J jnl
Surface Defect Detection via Entity Sparsity Pursuit With Intrinsic Priors.
IEEE Trans. Ind. Informatics
Jianzhu Wang, Qingyong Li, Jinrui Gan, Haomin Yu, Xi Yang
2019 J jnl
A Coarse-to-Fine Model for Rail Surface Defect Detection.
IEEE Trans. Instrum. Meas.
Haomin Yu, Qingyong Li, Yunqiang Tan, Jinrui Gan, Jianzhu Wang, Yangli-ao Geng, Lei Jia
2017 J jnl
Analysis and experimental demonstration of an optical switching enabled scalable data center network architecture.
Opt. Switch. Netw.
Dongxu Zhang, Hongxiang Guo, Gang Chen, Yong Zhu, Haomin Yu, Jialiang Wang, Jian Wu
2017 B conf
Fabric defect detection based on improved low-rank and sparse matrix decomposition.
ICIP
Jianzhu Wang, Qingyong Li, Jinrui Gan, Haomin Yu
2010 A* conf
Efficient partial-duplicate detection based on sequence matching.
SIGIR
Qi Zhang, Yue Zhang, Haomin Yu, Xuanjing Huang