A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. - Yiqun Xie; Han Bao 003; Shashi Shekhar 001; Joseph F. Knight (ICDM, 2018)

3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification. - Han Bao 003; Hui Ren 001; Zhiling Zhou; Xiang Li 001; Ning Guo; Quanzheng Li (ISBI, 2019)

Novel Radiomic Features Based on Graph Theory for PET Image Analysis. - Zhiling Zhou; Ning Guo; Jianan Cui; Xiaxia Meng; Yiwei Hu; Han Bao 003; Xiang Li 001; Quanzheng Li (ISBI, 2019)

COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. - Han Bao 003; Xun Zhou 001; Yingxue Zhang 002; Yanhua Li; Yiqun Xie (SIGSPATIAL/GIS, 2020)

Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. - Yichen Ding; Xun Zhou 001; Han Bao 003; Yanhua Li; Cara Hamann; Steven Spears; Zhuoning Yuan (SIGSPATIAL/GIS, 2020)

Discovering Spatial Mixture Patterns of Interest. - Yiqun Xie; Han Bao 003; Yan Li 049; Shashi Shekhar 001 (SIGSPATIAL/GIS, 2020)

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. - Yiqun Xie; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Jia Yu 020; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2021)

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (ICDM, 2021)

Significant DBSCAN+: Statistically Robust Density-based Clustering. - Yiqun Xie; Xiaowei Jia; Shashi Shekhar 001; Han Bao 003; Xun Zhou 001 (ACM Trans. Intell. Syst. Technol., 2021)

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. - Yiqun Xie; Erhu He; Xiaowei Jia; Weiye Chen; Sergii Skakun; Han Bao 003; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (AAAI, 2022)

Sailing in the location-based fairness-bias sphere. - Erhu He; Weiye Chen; Yiqun Xie; Han Bao 003; Xun Zhou 001; Xiaowei Jia; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2022)

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yanhua Li; Xiaowei Jia (ICDM, 2022)

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (IJCAI, 2022)

COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yingxue Zhang 002; Yanhua Li (ACM Trans. Intell. Syst. Technol., 2022)

Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. - Yiqun Xie; Zhili Li; Han Bao 003; Xiaowei Jia; Dongkuan Xu; Xun Zhou 001; Sergii Skakun (AAAI, 2023)

Harnessing heterogeneity in space with statistically guided meta-learning. - Yiqun Xie; Weiye Chen; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (Knowl. Inf. Syst., 2023)

STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yanhua Li; Xiaowei Jia (Knowl. Inf. Syst., 2023)

Referee-Meta-Learning for Fast Adaptation of Locational Fairness. - Weiye Chen; Yiqun Xie; Xiaowei Jia; Erhu He; Han Bao 003; Bang An 002; Xun Zhou 001 (AAAI, 2024)

AutoBench-V: Can Large Vision-Language Models Benchmark Themselves? - Han Bao 003; Yue Huang 001; Yanbo Wang 005; Jiayi Ye; Xiangqi Wang; Xiuying Chen; Mohamed Elhoseiny; Xiangliang Zhang 001 (CoRR, 2024)

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. - Erhu He; Yiqun Xie; Weiye Chen; Sergii Skakun; Han Bao 003; Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia (IEEE Trans. Knowl. Data Eng., 2024)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)