Publications

[Google Scholar | PubMed] (* Equal Contribution)

2024

• FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
  Yu Tian*, Congcong Wen*, Min Shi*, Muhammad Afzal, Hao Huang, Muhammad Khan, Yan Luo, Yi Fang, Mengyu Wang. ECCV 2024. [link]
• Transformer-based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests from 24-Degree Data
  Min Shi, Anagha Lokhande, Yu Tian, Yan Luo, Mohammad Eslami, Saber Kazeminasab, Tobias Elze, Lucy Q Shen, Louis R. Pasquale, sarah wellik, C. Gustavo De Moraes, Jonathan S Myers, Nazlee Zebardast, David S Friedman, Michael V Boland, Mengyu Wang. TVST 2024.
• FairCLIP: Harnessing Fairness in Vision-and-Language Learning.
  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. CVPR 2024. [link]
• Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
  Yan Luo*, Yu Tian*, Min Shi*, Tobias Elze, Mengyu Wang. IEEE Transactions on Medical Imaging 2024. [link]
• RNFLT2Vec: Artifact-Corrected Representation Learning for Retinal Nerve Fiber Layer Thickness Maps
  Min Shi, Yu Tian, Yan Luo, Tobias Elze, Mengyu Wang. Medical Image Analysis 2024.[link]
• A deep learning model for screening computed tomography imaging for thyroid eye disease and compressive optic neuropathy
  Lisa Y Lin, Paul Zhou, Min Shi, Jonathan E Lu, Soomin Jeon, Doyun Kim, Josephine M Liu, Mengyu Wang, Synho Do, Nahyoung Grace Lee. Ophthalmology Science 2024. [link]
• FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
  Yu Tian*, Min Shi*, Yan Luo*, Ava Kouhana, Tobias Elze, Mengyu Wang. ICLR 2024. [link]

2023

• Artifact correction in retinal nerve fiber layer thickness maps using deep learning and its clinical utility in glaucoma
  Min Shi, Jessica A Sun, Anagha Lokhande, Yu Tian, Yan Luo, Tobias Elze, Lucy Q Shen, Mengyu Wang. TVST 2023. [link]
• RatioVLP: Ambient Light Noise Evaluation and Suppression in the Visible Light Positioning System
  Yuwei Zhang, Zihan Wang and Jingbo Shang. IEEE Transactions on Mobile Computing 2023. [link]
• Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
  Yan Luo*, Min Shi*, Yu Tian*, Tobias Elze, Mengyu Wang. ICCV 2023. [link]
• A parallel deep learning-based code clone detection model
  Xiangping Zhang, Jianxun Liu, Min Shi. Journal of Parallel and Distributed Computing 2023. [link]
• Artifact-tolerant clustering-guided contrastive embedding learning for ophthalmic images in glaucoma
  Min Shi, Anagha Lokhande, Mojtaba S 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. IEEE Journal of Biomedical and Health Informatics 2023. [link]
• Explainable Deep Learning Prediction of 10-2 Visual Field from 24-2 Visual Field Using Transformer
  Min Shi, Yu Tian, Yan Luo, Mohammad Eslami, Saber Kazeminasab Hashemabad, Tobias Elze, Lucy Q Shen, Louis R Pasquale, Sarah R Wellik, C Gustavo De Moraes, Jonathan S Myers, Michael V Boland, Mengyu Wang. IOVS 2023.
• DeepWiPos: A Deep learning-based Wireless Positioning Algorithm to Address Fingerprint Instability
  Xiansheng Yang, Yuan Zhuang, Fuqiang Gu, Min Shi, Xiaoxiang Cao, You Li, Bingpeng Zhou, Liang Chen. IEEE Transactions on Vehicular Technology 2023.

2022

• Tightly coupled integration of pedestrian dead reckoning and Bluetooth based on filter and optimizer
  Xuan Wang, Yuan Zhuang, Zhenghua Zhang, Xiaoxiang Cao, Fen Qin, Xiansheng Yang, Xiao Sun, Min Shi, Zhe Wang. IEEE Internet of Things Journal 2022.
• SPiForest: Anomaly Detecting Algorithm with Space Partition constructed By Probability Density-based Inverse Sampling
  Xiansheng Yang, Yuan Zhuang, Min Shi, Xiaoxiang Cao, Dong Chen, Yufei Tang. IEEE Transactions on Neural Networks and Learning Systems 2022.
• Web Services Clustering via Exploring Unified Content and Structural Semantic Representation
  Guosheng Kang, Jianxun Liu, Yong Xiao, Yingcheng Cao, Buqing Cao, Min Shi. IEEE Transactions on Network and Service Management 2022.
• Genetic-gnn: Evolutionary architecture search for graph neural networks
  Min Shi, Yufei Tang, Xingquan Zhu, Yu Huang, David Wilson, Yuan Zhuang, Jianxun Liu. Knowledge-based systems 2022.
• Machine learning–based scoring models to predict hematopoietic stem cell mobilization in allogeneic donors
  Jingyu Xiang, Min Shi, Mark A Fiala, Feng Gao, Michael P Rettig, Geoffrey L Uy, Mark A Schroeder, Katherine N Weilbaecher, Keith E Stockerl-Goldstein, Shamim Mollah, John F DiPersio. Blood Advances 2022.
• Heparanase Blockade as a Novel Dual-Targeting Therapy for COVID-19
  Jingyu Xiang, Mijia Lu, Min Shi, Xiaogang Cheng, Kristin Kwakwa, Jennifer Davis, Xinming Su, Suzanne Bakewell, Yuexiu Zhang, Francesca Fontana, Yalin Xu, Deborah Veis, John DiPersio, Lee Ratner, Ralph Sanderson, Alessandro Noseda, Shamim Mollah, Jianrong Li, Katherine Weilbaecher. Journal of Virology 2022.
• Feature-attention graph convolutional networks for noise resilient learning
  Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu. IEEE Transactions on Cybernetics 2022.

2021

• Word embedding-based web service representations for classification and clustering
  Xiangping Zhang, Jianxun Liu, Min Shi, Buqing Cao. SCC 2021.
• Algnn: Auto-designed lightweight graph neural network
  Rongshen Cai, Qian Tao, Yufei Tang, Min Shi. **PRICAI ** 2021.
• Web Service Network Embedding based on Link Prediction and Convolutional Learning
  Min Shi, Yuan Zhuang, Yufei Tang, Maohua Lin, Xingquan Zhu, Jianxun Liu. IEEE Transactions on Services Computing 2021.
• GAEN: Graph Attention Evolving Networks
  Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu. IJCAI 2021.
• Web service classification based on information gain theory and bidirectional long short-term memory with attention mechanism
  Xiangping Zhang, Jianxun Liu, Buqing Cao, Min Shi. Concurrency and Computation: Practice and Experience 2021.
• Topology and Content Co-Alignment Graph Convolutional Learning
  Min Shi, Yufei Tang, Xingquan Zhu. IEEE Transactions on Neural Networks and Learning Systems 2021.

2020

• Structure reinforcing and attribute weakening network based API recommendation approach for mashup creation
  Yong Xiao, Jianxun Liu, Guosheng Kang, Rong Hu, Buqing Cao, Yingcheng Cao, Min Shi. ICWS 2020.
• Multi-Label Graph Convolutional Network Representation Learning
  Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu. IEEE Transactions on Big Data 2020.
• Multi-Class Imbalanced Graph Convolutional Network Learning
  Min Shi, Yufei Tang, Xingquan Zhu, David Wilson, Jianxun Liu. IJCAI 2020.
• Topic-aware web service representation learning
  Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu. ACM Transactions on the Web 2020.
• Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM
  J Huai, Y Lin, Y Zhuang, M Shi. AAAI 2020.
• Mashup tag completion with attention-based topic model
  Min Shi, Yufei Tang, Yu Huang, Maohua Lin. Service Oriented Computing and Applications 2020.

2019

• MLNE: Multi-Label Network Embedding
  Min Shi, Yufei Tang, Xingquan Zhu. IEEE Transactions on Neural Networks and Learning Systems 2019.
• Topical network embedding
  Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu, Haibo He. Data Mining and Knowledge Discovery 2019.
• Service recommendation based on attentional factorization machine
  Yingcheng Cao, Jianxun Liu, Min Shi, Buqing Cao, Ting Chen, Yiping Wen. SCC 2019.
• Relationship Network Augmented Web Services Clustering
  Yingcheng Cao, Jianxun Liu, Min Shi, Buqing Cao, Xiangping Zhang, Yan Wang. ICWS 2019.
• Low-power centimeter-level localization for indoor mobile robots based on ensemble Kalman smoother using received signal strength
  Yuan Zhuang, Qin Wang, Min Shi, Pan Cao, Longning Qi, Jun Yang. IEEE Internet of Things Journal 2019.
• TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation
  Min Shi, Yufei Tang, Jianxun Liu. IJCNN 2019.
• Web services classification with topical attention based Bi-LSTM
  Yingcheng Cao, Jianxun Liu, Buqing Cao, Min Shi, Yiping Wen, Zhenlian Peng. Collaborative Computing: Networking, Applications and Worksharing 2019.

2018

• A Prior Knowledge Based Approach to Improving Accuracy of Web Services Clustering
  Min Shi, Jianxun Liu, Buqing Cao, Yiping Wen, Xiangping Zhang. SCC 2018.
• Functional and Contextual Attention-based LSTM for Service Recommendation in Mashup Creation
  Min Shi, Yufei Tang, Jianxun Liu. IEEE Transactions on Parallel and Distributed Systems 2018.
• A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-relational Service Data
  Min Shi, Jianxun Liu, Dong Zhou, Yufei Tang. IEEE Transactions on Services Computing 2018.

2017

• WE-LDA: a word embeddings augmented LDA model for web services clustering
  Min Shi, Jianxun Liu, Dong Zhou, Mingdong Tang, Buqing Cao. ICWS 2017.
• A HYBRID APPROACH FOR AUTOMATIC MASHUP TAG RECOMMENDATION
  Min Shi, Jianxun Liu, Dong Zhou. Journal of Web Engineering 2017.

2016

• Mashup service clustering based on an integration of service content and network via exploiting a two-level topic model
  Buqing Cao, Xiaoqing Liu, Bing Li, Jianxun Liu, Mingdong Tang, Tingting Zhang, Min Shi. ICWS 2016.
• A Probabilistic Topic Model for Mashup Tag Recommendation
  Min Shi, Jianxun Liu, Dong Zhou, Mingdong Tang, Fenfang Xie, Tingting Zhang. ICWS 2016.