Pengfei Jin

According to our database, Pengfei Jin authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models.

Yuang Wang, Pengfei Jin, Li Zhang, Quanzheng Li, Zhiqiang Chen, Dufan Wu

CoRR, 2024

EchoFM: Foundation Model for Generalizable Echocardiogram Analysis.

Sekeun Kim, Pengfei Jin, Sifan Song, Cheng Chen, Yiwei Li, Hui Ren, Xiang Li, Tianming Liu, Quanzheng Li

CoRR, 2024

Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning.

Pengfei Jin, Peng Shu, Sekeun Kim, Qing Xiao, Sifan Song, Cheng Chen, Tianming Liu, Xiang Li, Quanzheng Li

CoRR, 2024

ECHOPulse: ECG controlled echocardio-grams video generation.

Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Tianming Liu, Quanzheng Li, Xiang Li

CoRR, 2024

Measurement Embedded Schrödinger Bridge for Inverse Problems.

Yuang Wang, Pengfei Jin, Siyeop Yoon, Matthew Tivnan, Quanzheng Li, Li Zhang, Dufan Wu

CoRR, 2024

Implicit Image-to-Image Schrodinger Bridge for CT Super-Resolution and Denoising.

Yuang Wang, Siyeop Yoon, Pengfei Jin, Matthew Tivnan, Zhennong Chen, Rui Hu, Li Zhang, Zhiqiang Chen, Quanzheng Li, Dufan Wu

CoRR, 2024

2023

Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study.

Pengfei Jin, Junkang Shen, Liqin Yang, Ji Zhang, Ao Shen, Jie Bao, Ximing Wang

BMC Medical Imaging, December, 2023

Maximizing the influence of bichromatic reverse k nearest neighbors in geo-social networks.

Pengfei Jin, Lu Chen, Yunjun Gao, Xueqin Chang, Zhanyu Liu, Shu Shen, Christian S. Jensen

World Wide Web (WWW), July, 2023

Machine learning assisted exploration for affine Deligne-Lusztig varieties.

Bin Dong, Xuhua He, Pengfei Jin, Felix Schremmer, Qingchao Yu

CoRR, 2023

2022

NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Networks on Point Clouds.

Pengfei Jin, Tianhao Lai, Rongjie Lai, Bin Dong

J. Sci. Comput., 2022

An efficient approach for searching optimal multi-keywords coverage routes.

Rong Yang, Baoning Niu, Pengfei Jin

J. Comb. Optim., 2022

Maximizing the Influence of Bichromatic Reverse k Nearest Neighbors in Geo-Social Networks.

Pengfei Jin, Lu Chen, Yunjun Gao, Xueqin Chang, Zhanyu Liu, Christian S. Jensen

CoRR, 2022

2020

On efficiently diversified top-<i>k</i> geo-social keyword query processing in road networks.

Jingwen Zhao, Yunjun Gao, Chunyu Ma, Pengfei Jin, Shiting Wen

Inf. Sci., 2020

Discovering the Most Influential Geo-Social Object Using Location Based Social Network Data.

Pengfei Jin, Zhanyu Liu, Yao Xiao

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Efficient Group Processing for Multiple Reverse Top-k Geo-Social Keyword Queries.

Pengfei Jin, Yunjun Gao, Lu Chen, Jingwen Zhao

Proceedings of the Database Systems for Advanced Applications, 2020

2019

NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds.

Pengfei Jin, Tianhao Lai, Rongjie Lai, Bin Dong

CoRR, 2019

Towards Usability on Reverse Top-k Geo-Social Keyword Query Results.

Pengfei Jin

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

2018

Price-and-Time-Aware Dynamic Ridesharing.

Lu Chen, Qilu Zhong, Xiaokui Xiao, Yunjun Gao, Pengfei Jin, Christian S. Jensen

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018