Jiabao Jin

According to our database, Jiabao Jin authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Bridging Speed and Accuracy to Approximate <i>K</i>-Nearest Neighbor Search.

Mingyu Yang, Jiabao Jin, Xiangyu Wang, Zhitao Shen, Wei Jia, Wentao Li, Wei Wang

CoRR, 2024

Wait to be Faster: A Smart Pooling Framework for Dynamic Ridesharing.

Xiaoyao Zhong, Jiabao Jin, Peng Cheng, Wangze Ni, Libin Zheng, Lei Chen, Xuemin Lin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Efficient Learning-based Top-k Representative Similar Subtrajectory Query.

Kunming Wang, Shiyu Yang, Jiabao Jin, Peng Cheng, Jianye Yang, Xuemin Lin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Efficient Non-Learning Similar Subtrajectory Search.

Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang

Proc. VLDB Endow., 2023

Pulmonary CT nodules segmentation using an enhanced square U-Net with depthwise separable convolution.

Ji Li, Jiabao Jin, Dongfang Shen, Guanping Xu, Hui-Qing Zeng, Sunkui Ke, Xiangxing Chen, Miao Wang, Xiongbiao Luo

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Densely encoded attention networks for accurate retinal layers segmentation in optical coherence tomography.

Ying Ma, Jiabao Jin, Guanping Xu, Ao Wang, Yinran Chen, Weijie Ouyang, Xiang Lin, Zuguo Liu, Xiongbiao Luo

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Towards a relation extractor U-shaped network for accurate pulmonary vessel segmentation in CT images.

Jiabao Jin, Yu Wu, Gang Ding, Ying Ma, Hui-Qing Zeng, Sunkui Ke, Xiangxing Chen, Miao Wang, Yinran Chen, Xiongbiao Luo

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Enhanced U-Transformer Networks for Automatic Pulmonary Vessel Segmentation in Ct Images.

Hao Qi, Jiabao Jin, Gang Ding, Xiangxing Chen, Sunkui Ke, Yinran Chen, Xiongbiao Luo

Proceedings of the IEEE International Conference on Image Processing, 2023

Local-Global Progressive U-Transformers for Accurate Hepatic and Portal Veins Segmentation in Abdominal MR Images.

Yu Wu, Dongfang Shen, Jiabao Jin, Guanping Xu, Yinran Chen, Xiongbiao Luo

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report].

Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang

CoRR, 2022

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models.

Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Towards A Relation Extractor Nested U-Architecture for Accurate Pulmonary Airway Segmentation in CT images.

Gang Ding, Yu Wu, Jiabao Jin, Hao Qi, Yinran Chen, Xiongbiao Luo

Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022

2021

A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing.

Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng

Proc. VLDB Endow., 2021

A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report].

Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng

CoRR, 2021