Min Shi

79 papers A* 7A 5B 1C 3Journal 58Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging With FairLoRA.
IEEE Trans. Medical Imaging
Minghan Li, Congcong Wen, Yu Tian, Min Shi, Yan Luo, Hao Huang, Yi Fang, Mengyu Wang
2026 A* conf
Spiking Heterogeneous Graph Attention Networks.
AAAI
Buqing Cao, Qian Peng, Xiang Xie, Liang Chen, Min Shi, Jianxun Liu
2026 J jnl
Spiking Heterogeneous Graph Attention Networks.
CoRR
Buqing Cao, Qian Peng, Xiang Xie, Liang Chen, Min Shi, Jianxun Liu
2026 J jnl
TransFair: Transferring fairness from ocular disease classification to progression prediction.
Artif. Intell. Medicine
Min Shi, Leila Gheisi, Chee-Hung Henry Chu, Raju Gottumukkala, Yan Luo, Mengyu Wang, Xingquan Zhu
2025 J jnl
Citywide Multi-Step Crime Prediction via Context-Aware Bayesian Tensor Decomposition.
IEEE Trans. Inf. Forensics Secur.
Weichao Liang, Fengmao Lv, Lei Chen, Haicheng Tao, Min Shi, Xingquan Zhu, Jie Cao
2025 J jnl
DeepVLP: A Graph Neural Network-Based Denoising and Signals Optimization Framework for Visible Light Positioning.
IEEE Trans. Mob. Comput.
Xiansheng Yang, Yuan Zhuang, Min Shi, Qian Meng, Jun Xiong, Yue Cao
2025 J jnl
DiffMSR: A Multi-Semantic Graph Diffusion Model for Service Recommendation.
IEEE Trans. Serv. Comput.
Xiang Xie, Jianxun Liu, Buqing Cao, Wenyu Zhao, Sheng Lin, Min Shi, Jinjun Chen
2025 J jnl
Equitable artificial intelligence for glaucoma screening with fair identity normalization.
npj Digit. Medicine
Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang
2025 J jnl
Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation.
npj Digit. Medicine
Sulaiman O. Afolabi, Leila Gheisi, Jing Shan, Lucy Q. Shen, Mengyu Wang, Min Shi
2025 J jnl
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA.
CoRR
Minghan Li, Congcong Wen, Yu Tian, Min Shi, Yan Luo, Hao Huang, Yi Fang, Mengyu Wang
2025 J jnl
Grapeseed: Generative Split-Learning for Privacy Preserving Sequential Recommendation in Vehicular Cloud-Powered Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst.
Buqing Cao, Shanpeng Liu, Xiang Xie, Jianxun Liu, Min Shi, Xiong Li
2025 J jnl
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation.
CoRR
Md Zubair, Hao Zheng, Nussdorf Jonathan, Grayson W. Armstrong, Lucy Q. Shen, Gabriela Wilson, Yu Tian, Xingquan Zhu, Min Shi
2025 J jnl
On the effectiveness of large language models for query expansion in code search.
J. Syst. Softw.
Xiangzheng Liu, Jianxun Liu, Guosheng Kang, Min Shi, Yi Liu, Yiming Yin
2025 J jnl
TPST: A Traffic Flow Prediction Model Based on Spatial-Temporal Identity.
Concurr. Comput. Pract. Exp.
Yuchen Hou, Buqing Cao, Jianxun Liu, Changyun Li, Min Shi
2025 J jnl
UMar: unbiased stratified knowledge distillation-based mobile application recommendation.
Clust. Comput.
Zilun Xiong, Buqing Cao, Shanpeng Liu, Zhenlian Peng, Min Shi, Shangli Liu
2025 J jnl
uLiDR: An inertial-assisted unmodulated visible light positioning system for smartphone-based pedestrian navigation.
Inf. Fusion
Xiansheng Yang, Hao Zhang, Yuan Zhuang, Yaxin Wang, Min Shi, Yuan Xu
2024 J jnl
An Approach for Privacy-Aware Mobile App Package Recommendation.
IEEE Trans. Artif. Intell.
Shanpeng Liu, Buqing Cao, Jianxun Liu, Guosheng Kang, Min Shi, Xiong Li, Kenneth K. Fletcher
2024 A* conf
FairCLIP: Harnessing Fairness in Vision-Language Learning.
CVPR
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
2024 J jnl
FairCLIP: Harnessing Fairness in Vision-Language Learning.
CoRR
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
2024 J jnl
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation.
CoRR
Yan Luo, Muhammad Osama Khan, Congcong Wen, Muhammad Muneeb Afzal, Titus Fidelis Wuermeling, Min Shi, Yu Tian, Yi Fang, Mengyu Wang
2024 — conf
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification.
ECCV (76)
Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
2024 J jnl
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification.
CoRR
Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
2024 A* conf
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling.
ICLR
Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
2024 J jnl
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.
IEEE Trans. Medical Imaging
Yan Luo, Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast, Tobias Elze, Mengyu Wang
2024 J jnl
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning.
CoRR
Yan Luo, Congcong Wen, Min Shi, Hao Huang, Yi Fang, Mengyu Wang
2024 J jnl
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps.
Medical Image Anal.
Min Shi, Yu Tian, Yan Luo, Tobias Elze, Mengyu Wang
2024 J jnl
RatioVLP: Ambient Light Noise Evaluation and Suppression in the Visible Light Positioning System.
IEEE Trans. Mob. Comput.
Xiansheng Yang, Yuan Zhuang, Min Shi, Xiao Sun, Xiaoxiang Cao, Bingpeng Zhou
2024 J jnl
SMAR: self-supervised mobile application recommendation based on graph convolutional networks.
Int. J. Web Inf. Syst.
Zhongxiang Fu, Buqing Cao, Shanpeng Liu, Qian Peng, Zhenlian Peng, Min Shi, Shangli Liu
2024 J jnl
SPiForest: An Anomaly Detecting Algorithm Using Space Partition Constructed by Probability Density-Based Inverse Sampling.
IEEE Trans. Neural Networks Learn. Syst.
Xiansheng Yang, Yuan Zhuang, Min Shi, Xiaoxiang Cao, Dong Chen, Yufei Tang
2024 J jnl
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction.
CoRR
Leila Gheisi, Henry Chu, Raju Gottumukkala, Yan Luo, Xingquan Zhu, Mengyu Wang, Min Shi
2023 J jnl
A parallel deep learning-based code clone detection model.
J. Parallel Distributed Comput.
Xiangping Zhang, Jianxun Liu, Min Shi
2023 J jnl
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.
IEEE J. Biomed. Health Informatics
Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang
2023 J jnl
DeepWiPos: A Deep Learning-Based Wireless Positioning Framework to Address Fingerprint Instability.
IEEE Trans. Veh. Technol.
Xiansheng Yang, Yuan Zhuang, Fuqiang Gu, Min Shi, Xiaoxiang Cao, You Li, Bingpeng Zhou, Liang Chen
2023 J jnl
FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling.
CoRR
Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
2023 J jnl
Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling.
CoRR
Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang
2023 A* conf
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning.
ICCV
Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang
2023 J jnl
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning.
CoRR
Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang
2023 J jnl
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.
CoRR
Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang
2023 J jnl
Tightly Coupled Integration of Pedestrian Dead Reckoning and Bluetooth Based on Filter and Optimizer.
IEEE Internet Things J.
Xuan Wang, Yuan Zhuang, Zhenghua Zhang, Xiaoxiang Cao, Fen Qin, Xiansheng Yang, Xiao Sun, Min Shi, Zhe Wang
2022 J jnl
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.
CoRR
Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang
2022 J jnl
Dynamic Graph Neural Network Learning for Temporal Omics Data Prediction.
IEEE Access
Xiaoli Jing, Yanhong Zhou, Min Shi
2022 J jnl
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
IEEE Trans. Cybern.
Min Shi, Yufei Tang, Xingquan Zhu, Yuan Zhuang, Maohua Lin, Jianxun Liu
2022 J jnl
Genetic-GNN: Evolutionary architecture search for Graph Neural Networks.
Knowl. Based Syst.
Min Shi, Yufei Tang, Xingquan Zhu, Yu Huang, David A. Wilson, Yuan Zhuang, Jianxun Liu
2022 J jnl
Multi-Label Graph Convolutional Network Representation Learning.
IEEE Trans. Big Data
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
2022 J jnl
Topology and Content Co-Alignment Graph Convolutional Learning.
IEEE Trans. Neural Networks Learn. Syst.
Min Shi, Yufei Tang, Xingquan Zhu
2022 J jnl
Web Service Network Embedding Based on Link Prediction and Convolutional Learning.
IEEE Trans. Serv. Comput.
Min Shi, Yuan Zhuang, Yufei Tang, Maohua Lin, Xingquan Zhu, Jianxun Liu
2022 J jnl
Web Services Clustering via Exploring Unified Content and Structural Semantic Representation.
IEEE Trans. Netw. Serv. Manag.
Guosheng Kang, Jianxun Liu, Yong Xiao, Yingcheng Cao, Buqing Cao, Min Shi
2021 J jnl
A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data.
IEEE Trans. Serv. Comput.
Min Shi, Jianxun Liu, Dong Zhou, Yufei Tang
2021 — conf
ALGNN: Auto-Designed Lightweight Graph Neural Network.
PRICAI (1)
Rongshen Cai, Qian Tao, Yufei Tang, Min Shi
2021 A* conf
Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM.
AAAI
Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi
2021 J jnl
Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM.
CoRR
Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi
2021 A* conf
GAEN: Graph Attention Evolving Networks.
IJCAI
Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu
2021 J jnl
Mashup tag completion with attention-based topic model.
Serv. Oriented Comput. Appl.
Min Shi, Yufei Tang, Yu Huang, Maohua Lin
2021 J jnl
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.
CoRR
Yu Huang, Yufei Tang, Xingquan Zhu, Min Shi, Ali Muhamed Ali, Hanqi Zhuang, Laurent M. Chérubin
2021 J jnl
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting.
CoRR
Yu Huang, James Li, Min Shi, Hanqi Zhuang, Xingquan Zhu, Laurent M. Chérubin, James H. VanZwieten, Yufei Tang
2021 J jnl
Web service classification based on information gain theory and bidirectional long short-term memory with attention mechanism.
Concurr. Comput. Pract. Exp.
Xiangping Zhang, Jianxun Liu, Buqing Cao, Min Shi
2021 — conf
Word Embedding-based Web Service Representations for Classification and Clustering.
SCC
Xiangping Zhang, Jianxun Liu, Min Shi, Buqing Cao
2020 J jnl
Evolutionary Architecture Search for Graph Neural Networks.
CoRR
Min Shi, David A. Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu, Yufei Tang
2020 J jnl
MLNE: Multi-Label Network Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Min Shi, Yufei Tang, Xingquan Zhu
2020 A* conf
Multi-Class Imbalanced Graph Convolutional Network Learning.
IJCAI
Min Shi, Yufei Tang, Xingquan Zhu, David A. Wilson, Jianxun Liu
2020 A conf
Structure Reinforcing and Attribute Weakening Network based API Recommendation Approach for Mashup Creation.
ICWS
Yong Xiao, Jianxun Liu, Guosheng Kang, Rong Hu, Buqing Cao, Yingcheng Cao, Min Shi
2020 J jnl
Topic-aware Web Service Representation Learning.
ACM Trans. Web
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
2020 J jnl
Topical network embedding.
Data Min. Knowl. Discov.
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu, Haibo He
2020 J jnl
Topology and Content Co-Alignment Graph Convolutional Learning.
CoRR
Min Shi, Yufei Tang, Xingquan Zhu
2019 J jnl
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
CoRR
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
2019 J jnl
Functional and Contextual Attention-Based LSTM for Service Recommendation in Mashup Creation.
IEEE Trans. Parallel Distributed Syst.
Min Shi, Yufei Tang, Jianxun Liu
2019 J jnl
Low-Power Centimeter-Level Localization for Indoor Mobile Robots Based on Ensemble Kalman Smoother Using Received Signal Strength.
IEEE Internet Things J.
Yuan Zhuang, Qin Wang, Min Shi, Pan Cao, Longning Qi, Jun Yang
2019 J jnl
Multi-Label Graph Convolutional Network Representation Learning.
CoRR
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
2019 A conf
Relationship Network Augmented Web Services Clustering.
ICWS
Yingcheng Cao, Jianxun Liu, Min Shi, Buqing Cao, Xiangping Zhang, Yan Wang
2019 — conf
Service Recommendation Based on Attentional Factorization Machine.
SCC
Yingcheng Cao, Jianxun Liu, Min Shi, Buqing Cao, Ting Chen, Yiping Wen
2019 B conf
TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation.
IJCNN
Min Shi, Yufei Tang, Jianxun Liu
2019 C conf
Web Services Classification with Topical Attention Based Bi-LSTM.
CollaborateCom
Yingcheng Cao, Jianxun Liu, Buqing Cao, Min Shi, Yiping Wen, Zhenlian Peng
2018 — conf
A Prior Knowledge Based Approach to Improving Accuracy of Web Services Clustering.
SCC
Min Shi, Jianxun Liu, Buqing Cao, Yiping Wen, Xiangping Zhang
2017 J jnl
A Hybrid Approach for Automatic Mashup Tag Recommendation.
J. Web Eng.
Min Shi, Jianxun Liu, Dong Zhou
2017 A conf
WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering.
ICWS
Min Shi, Jianxun Liu, Dong Zhou, Mingdong Tang, Buqing Cao
2016 A conf
A Probabilistic Topic Model for Mashup Tag Recommendation.
ICWS
Min Shi, Jianxun Liu, Dong Zhou, Mingdong Tang, Fenfang Xie, Tingting Zhang
2016 A conf
Mashup Service Clustering Based on an Integration of Service Content and Network via Exploiting a Two-Level Topic Model.
ICWS
Buqing Cao, Xiaoqing Frank Liu, Bing Li, Jianxun Liu, Mingdong Tang, Tingting Zhang, Min Shi
2016 C conf
Multi-relation Based Manifold Ranking Algorithm for API Recommendation.
APSCC
Fenfang Xie, Jianxun Liu, Mingdong Tang, Dong Zhou, Buqing Cao, Min Shi
2016 C conf
Using Relational Topic Model and Factorization Machines to Recommend Web APIs for Mashup Creation.
APSCC
Buqing Cao, Min Shi, Xiaoqing (Frank) Liu, Jianxun Liu, Mingdong Tang