Min Shi

Publication Activity (10 Years)

Years Active: 2022-2025
Publications (10 Years): 16

Top Topics

Semantic Representations

Medical Image Segmentation

Language Learners

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

IEEE Trans. Netw. Serv. Manag.

Publications

Xiansheng Yang, Hao Zhang, Yuan Zhuang, Yaxin Wang, Min Shi, Yuan Xu
uLiDR: An inertial-assisted unmodulated visible light positioning system for smartphone-based pedestrian navigation. Inf. Fusion 113 (2025)
Min Shi, Yu Tian, Yan Luo, Tobias Elze, Mengyu Wang
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. Medical Image Anal. 94 (2024)
Xiansheng Yang, Yuan Zhuang, Min Shi, Xiao Sun, Xiaoxiang Cao, Bingpeng Zhou
RatioVLP: Ambient Light Noise Evaluation and Suppression in the Visible Light Positioning System. IEEE Trans. Mob. Comput. 23 (5) (2024)
Xiansheng Yang, Yuan Zhuang, Min Shi, Xiaoxiang Cao, Dong Chen, Yufei Tang
SPiForest: An Anomaly Detecting Algorithm Using Space Partition Constructed by Probability Density-Based Inverse Sampling. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. CoRR (2024)
Yan Luo, Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast, Tobias Elze, Mengyu Wang
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. IEEE Trans. Medical Imaging 43 (7) (2024)
Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang
FairCLIP: Harnessing Fairness in Vision-Language Learning. CoRR (2024)
Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. ICLR (2024)
Xiangping Zhang, Jianxun Liu, Min Shi
A parallel deep learning-based code clone detection model. J. Parallel Distributed Comput. 181 (2023)
Min Shi, Yufei Tang, Xingquan Zhu, Yuan Zhuang, Maohua Lin, Jianxun Liu
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning. IEEE Trans. Cybern. 52 (8) (2022)
Min Shi, Yufei Tang, Xingquan Zhu
Topology and Content Co-Alignment Graph Convolutional Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Min Shi, Yufei Tang, Xingquan Zhu, Yu Huang, David A. Wilson, Yuan Zhuang, Jianxun Liu
Genetic-GNN: Evolutionary architecture search for Graph Neural Networks. Knowl. Based Syst. 247 (2022)
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
Multi-Label Graph Convolutional Network Representation Learning. IEEE Trans. Big Data 8 (5) (2022)
Xiaoli Jing, Yanhong Zhou, Min Shi
Dynamic Graph Neural Network Learning for Temporal Omics Data Prediction. IEEE Access 10 (2022)
Guosheng Kang, Jianxun Liu, Yong Xiao, Yingcheng Cao, Buqing Cao, Min Shi
Web Services Clustering via Exploring Unified Content and Structural Semantic Representation. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Min Shi, Yuan Zhuang, Yufei Tang, Maohua Lin, Xingquan Zhu, Jianxun Liu
Web Service Network Embedding Based on Link Prediction and Convolutional Learning. IEEE Trans. Serv. Comput. 15 (6) (2022)