Using Relational Topic Model and Factorization Machines to Recommend Web APIs for Mashup Creation. - Buqing Cao; Min Shi 001; Xiaoqing (Frank) Liu; Jianxun Liu 001; Mingdong Tang (APSCC, 2016)

Multi-relation Based Manifold Ranking Algorithm for API Recommendation. - Fenfang Xie; Jianxun Liu 001; Mingdong Tang; Dong Zhou 001; Buqing Cao; Min Shi 001 (APSCC, 2016)

Mashup Service Clustering Based on an Integration of Service Content and Network via Exploiting a Two-Level Topic Model. - Buqing Cao; Xiaoqing Frank Liu; Bing Li 010; Jianxun Liu 001; Mingdong Tang; Tingting Zhang; Min Shi 001 (ICWS, 2016)

A Probabilistic Topic Model for Mashup Tag Recommendation. - Min Shi 001; Jianxun Liu 001; Dong Zhou 001; Mingdong Tang; Fenfang Xie; Tingting Zhang (ICWS, 2016)

WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering. - Min Shi 001; Jianxun Liu 001; Dong Zhou 001; Mingdong Tang; Buqing Cao (ICWS, 2017)

A Hybrid Approach for Automatic Mashup Tag Recommendation. - Min Shi 001; Jianxun Liu 001; Dong Zhou 001 (J. Web Eng., 2017)

A Prior Knowledge Based Approach to Improving Accuracy of Web Services Clustering. - Min Shi 001; Jianxun Liu 001; Buqing Cao; Yiping Wen; Xiangping Zhang (SCC, 2018)

Service Recommendation Based on Attentional Factorization Machine. - Yingcheng Cao; Jianxun Liu 001; Min Shi 001; Buqing Cao; Ting Chen; Yiping Wen (SCC, 2019)

Web Services Classification with Topical Attention Based Bi-LSTM. - Yingcheng Cao; Jianxun Liu 001; Buqing Cao; Min Shi 001; Yiping Wen; Zhenlian Peng (CollaborateCom, 2019)

Relationship Network Augmented Web Services Clustering. - Yingcheng Cao; Jianxun Liu 001; Min Shi 001; Buqing Cao; Xiangping Zhang; Yan Wang 002 (ICWS, 2019)

TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation. - Min Shi 001; Yufei Tang; Jianxun Liu 001 (IJCNN, 2019)

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Jianxun Liu 001 (CoRR, 2019)

Low-Power Centimeter-Level Localization for Indoor Mobile Robots Based on Ensemble Kalman Smoother Using Received Signal Strength. - Yuan Zhuang 001; Qin Wang; Min Shi 001; Pan Cao; Longning Qi; Jun Yang 006 (IEEE Internet Things J., 2019)

Functional and Contextual Attention-Based LSTM for Service Recommendation in Mashup Creation. - Min Shi 001; Yufei Tang; Jianxun Liu 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Structure Reinforcing and Attribute Weakening Network based API Recommendation Approach for Mashup Creation. - Yong Xiao; Jianxun Liu 001; Guosheng Kang; Rong Hu; Buqing Cao; Yingcheng Cao; Min Shi 001 (ICWS, 2020)

Multi-Class Imbalanced Graph Convolutional Network Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; David A. Wilson; Jianxun Liu 001 (IJCAI, 2020)

Evolutionary Architecture Search for Graph Neural Networks. - Min Shi 001; David A. Wilson; Xingquan Zhu 001; Yu Huang 017; Yuan Zhuang 001; Jianxun Liu 001; Yufei Tang (CoRR, 2020)

Topical network embedding. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Jianxun Liu 001; Haibo He (Data Min. Knowl. Discov., 2020)

MLNE: Multi-Label Network Embedding. - Min Shi 001; Yufei Tang; Xingquan Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Topic-aware Web Service Representation Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Jianxun Liu 001 (ACM Trans. Web, 2020)

Word Embedding-based Web Service Representations for Classification and Clustering. - Xiangping Zhang; Jianxun Liu 001; Min Shi 001; Buqing Cao (SCC, 2021)

Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM. - Jianzhu Huai; Yukai Lin; Yuan Zhuang 001; Min Shi 001 (AAAI, 2021)

GAEN: Graph Attention Evolving Networks. - Min Shi 001; Yu Huang 017; Xingquan Zhu 001; Yufei Tang; Yuan Zhuang 001; Jianxun Liu 001 (IJCAI, 2021)

ALGNN: Auto-Designed Lightweight Graph Neural Network. - Rongshen Cai; Qian Tao; Yufei Tang; Min Shi 001 (PRICAI (1), 2021)

Web service classification based on information gain theory and bidirectional long short-term memory with attention mechanism. - Xiangping Zhang; Jianxun Liu 001; Buqing Cao; Min Shi 001 (Concurr. Comput. Pract. Exp., 2021)

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. - Yu Huang 017; Yufei Tang; Xingquan Zhu 001; Min Shi 001; Ali Muhamed Ali; Hanqi Zhuang; Laurent M. Chérubin (CoRR, 2021)

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting. - Yu Huang 017; James Li; Min Shi 001; Hanqi Zhuang; Xingquan Zhu 001; Laurent M. Chérubin; James H. VanZwieten; Yufei Tang (CoRR, 2021)

Mashup tag completion with attention-based topic model. - Min Shi 001; Yufei Tang; Yu Huang 017; Maohua Lin (Serv. Oriented Comput. Appl., 2021)

A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data. - Min Shi 001; Jianxun Liu 001; Dong Zhou 001; Yufei Tang (IEEE Trans. Serv. Comput., 2021)

Dynamic Graph Neural Network Learning for Temporal Omics Data Prediction. - Xiaoli Jing; Yanhong Zhou; Min Shi 001 (IEEE Access, 2022)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (CoRR, 2022)

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Yu Huang 017; David A. Wilson; Yuan Zhuang 001; Jianxun Liu 001 (Knowl. Based Syst., 2022)

Multi-Label Graph Convolutional Network Representation Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Jianxun Liu 001 (IEEE Trans. Big Data, 2022)

Feature-Attention Graph Convolutional Networks for Noise Resilient Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Yuan Zhuang 001; Maohua Lin; Jianxun Liu 001 (IEEE Trans. Cybern., 2022)

Topology and Content Co-Alignment Graph Convolutional Learning. - Min Shi 001; Yufei Tang; Xingquan Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Web Service Network Embedding Based on Link Prediction and Convolutional Learning. - Min Shi 001; Yuan Zhuang 001; Yufei Tang; Maohua Lin; Xingquan Zhu 001; Jianxun Liu 001 (IEEE Trans. Serv. Comput., 2022)

Web Services Clustering via Exploring Unified Content and Structural Semantic Representation. - Guosheng Kang; Jianxun Liu 001; Yong Xiao; Yingcheng Cao; Buqing Cao; Min Shi 001 (IEEE Trans. Netw. Serv. Manag., 2022)

Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. - Yan Luo 002; Min Shi 001; Yu Tian 001; Tobias Elze; Mengyu Wang 001 (ICCV, 2023)

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. - Yan Luo 002; Yu Tian 001; Min Shi 001; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling. - Yan Luo 002; Yu Tian 001; Min Shi 001; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling. - Yu Tian 001; Min Shi 001; Yan Luo 002; Ava Kouhana; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

Tightly Coupled Integration of Pedestrian Dead Reckoning and Bluetooth Based on Filter and Optimizer. - Xuan Wang 015; Yuan Zhuang 001; Zhenghua Zhang; Xiaoxiang Cao; Fen Qin; Xiansheng Yang; Xiao Sun 009; Min Shi 001; Zhe Wang (IEEE Internet Things J., 2023)

DeepWiPos: A Deep Learning-Based Wireless Positioning Framework to Address Fingerprint Instability. - Xiansheng Yang; Yuan Zhuang 001; Fuqiang Gu; Min Shi 001; Xiaoxiang Cao; You Li 001; Bingpeng Zhou; Liang Chen 007 (IEEE Trans. Veh. Technol., 2023)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (IEEE J. Biomed. Health Informatics, 2023)

A parallel deep learning-based code clone detection model. - Xiangping Zhang; Jianxun Liu 001; Min Shi 001 (J. Parallel Distributed Comput., 2023)

FairCLIP: Harnessing Fairness in Vision-Language Learning. - Yan Luo 002; Min Shi 001; Muhammad Osama Khan; Muhammad Muneeb Afzal; Hao Huang 003; Shuaihang Yuan; Yu Tian 001; Luo Song; Ava Kouhana; Tobias Elze; Yi Fang 006; Mengyu Wang 001 (CVPR, 2024)

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. - Yu Tian 001; Congcong Wen; Min Shi 001; Muhammad Muneeb Afzal; Hao Huang 003; Muhammad Osama Khan; Yan Luo 002; Yi Fang 006; Mengyu Wang 001 (ECCV (76), 2024)

FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. - Yu Tian 001; Min Shi 001; Yan Luo 002; Ava Kouhana; Tobias Elze; Mengyu Wang 001 (ICLR, 2024)

TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction. - Leila Gheisi; Henry Chu; Raju Gottumukkala; Yan Luo 002; Xingquan Zhu 001; Mengyu Wang 001; Min Shi 001 (CoRR, 2024)

FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation. - Yan Luo 002; Muhammad Osama Khan; Congcong Wen; Muhammad Muneeb Afzal; Titus Fidelis Wuermeling; Min Shi 001; Yu Tian 001; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)

Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning. - Yan Luo 002; Congcong Wen; Min Shi 001; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)

SMAR: self-supervised mobile application recommendation based on graph convolutional networks. - Zhongxiang Fu; Buqing Cao; Shanpeng Liu; Qian Peng; Zhenlian Peng; Min Shi 001; Shangli Liu (Int. J. Web Inf. Syst., 2024)

RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. - Min Shi 001; Yu Tian 001; Yan Luo 002; Tobias Elze; Mengyu Wang 001 (Medical Image Anal., 2024)

RatioVLP: Ambient Light Noise Evaluation and Suppression in the Visible Light Positioning System. - Xiansheng Yang; Yuan Zhuang 001; Min Shi 001; Xiao Sun 009; Xiaoxiang Cao; Bingpeng Zhou (IEEE Trans. Mob. Comput., 2024)

SPiForest: An Anomaly Detecting Algorithm Using Space Partition Constructed by Probability Density-Based Inverse Sampling. - Xiansheng Yang; Yuan Zhuang 001; Min Shi 001; Xiaoxiang Cao; Dong Chen; Yufei Tang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. - Yan Luo 002; Yu Tian 001; Min Shi 001; Louis R. Pasquale; Lucy Q. Shen; Nazlee Zebardast; Tobias Elze; Mengyu Wang 001 (IEEE Trans. Medical Imaging, 2024)

An Approach for Privacy-Aware Mobile App Package Recommendation. - Shanpeng Liu; Buqing Cao; Jianxun Liu 001; Guosheng Kang; Min Shi 001; Xiong Li 002; Kenneth K. Fletcher (IEEE Trans. Artif. Intell., 2024)

uLiDR: An inertial-assisted unmodulated visible light positioning system for smartphone-based pedestrian navigation. - Xiansheng Yang; Hao Zhang; Yuan Zhuang 001; Yaxin Wang; Min Shi 001; Yuan Xu 003 (Inf. Fusion, 2025)

On the effectiveness of large language models for query expansion in code search. - Xiangzheng Liu; Jianxun Liu 001; Guosheng Kang; Min Shi 001; Yi Liu; Yiming Yin (J. Syst. Softw., 2025)

Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation. - Sulaiman O. Afolabi; Leila Gheisi; Jing Shan; Lucy Q. Shen; Mengyu Wang 001; Min Shi 001 (npj Digit. Medicine, 2025)

Equitable artificial intelligence for glaucoma screening with fair identity normalization. - Min Shi 001; Yan Luo 002; Yu Tian 001; Lucy Q. Shen; Nazlee Zebardast; Mohammad Eslami; Saber Kazeminasab; Michael V. Boland; David S. Friedman; Louis R. Pasquale; Mengyu Wang 001 (npj Digit. Medicine, 2025)

Citywide Multi-Step Crime Prediction via Context-Aware Bayesian Tensor Decomposition. - Weichao Liang; Fengmao Lv; Lei Chen 079; Haicheng Tao; Min Shi 001; Xingquan Zhu 001; Jie Cao 001 (IEEE Trans. Inf. Forensics Secur., 2025)

TPST: A Traffic Flow Prediction Model Based on Spatial-Temporal Identity. - Yuchen Hou; Buqing Cao; Jianxun Liu 001; Changyun Li; Min Shi 001 (Concurr. Comput. Pract. Exp., 2025)

Grapeseed: Generative Split-Learning for Privacy Preserving Sequential Recommendation in Vehicular Cloud-Powered Intelligent Transportation Systems. - Buqing Cao; Shanpeng Liu; Xiang Xie; Jianxun Liu 001; Min Shi 001; Xiong Li 002 (IEEE Trans. Intell. Transp. Syst., 2025)

DeepVLP: A Graph Neural Network-Based Denoising and Signals Optimization Framework for Visible Light Positioning. - Xiansheng Yang; Yuan Zhuang 001; Min Shi 001; Qian Meng; Jun Xiong 003; Yue Cao 002 (IEEE Trans. Mob. Comput., 2025)

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA. - Minghan Li; Congcong Wen; Yu Tian 001; Min Shi 001; Yan Luo 002; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2025)

UMar: unbiased stratified knowledge distillation-based mobile application recommendation. - Zilun Xiong; Buqing Cao; Shanpeng Liu; Zhenlian Peng; Min Shi 001; Shangli Liu (Clust. Comput., 2025)