CyberGIS for data-intensive knowledge discovery. - Shaowen Wang 001; Hao Hu; Tao Lin 008; Yan Liu 009; Anand Padmanabhan; Kiumars Soltani (ACM SIGSPATIAL Special, 2014)

CyberGIS-BioScope: a cyberinfrastructure-based spatial decision-making environment for biomass-to-biofuel supply chain optimization. - Hao Hu; Tao Lin 008; Yan Y. Liu; Shaowen Wang 001; Luis F. Rodriguez (Concurr. Comput. Pract. Exp., 2015)

CyberGIS-enabled decision support platform for biomass supply chain optimization. - Tao Lin 008; Shaowen Wang 001; Luis F. Rodriguez; Hao Hu; Yan Liu 009 (Environ. Model. Softw., 2015)

Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow. - Yuxin Ma; Tao Lin 008; Zhendong Cao; Chen Li; Fei Wang 016; Wei Chen 001 (IEEE Trans. Intell. Transp. Syst., 2016)

TieVis: visual analytics of evolution of interpersonal ties. - Fangzhou Guo; Wei Chen 001; Tao Lin 008; Biao Zhu; Fan Zhang; Yingcai Wu; Huamin Qu (J. Vis., 2017)

Agricultural robotics research applicable to poultry production: A review. - Guoqiang Ren; Tao Lin 008; Yibin Ying; Girish Chowdhary 001; K. C. Ting (Comput. Electron. Agric., 2020)

DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images. - Jie Chen 048; Ziyang Yuan; Jian Peng 009; Li Chen 025; Haozhe Huang; Jiawei Zhu; Tao Lin 008; Haifeng Li 007 (CoRR, 2020)

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting. - Jiawei Zhu; Chao Tao 001; Hanhan Deng; Ling Zhao 005; Pu Wang 005; Tao Lin 008; Haifeng Li 007 (CoRR, 2020)

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction. - Ling Zhao 005; Yujiao Song; Chao Zhang; Yu Liu 003; Pu Wang 005; Tao Lin 008; Min Deng; Haifeng Li 007 (IEEE Trans. Intell. Transp. Syst., 2020)

Classification and Mapping of Paddy Rice using Multi-temporal Landsat Data with a Deep Semantic Segmentation Model. - Meiqi Du; Jingfeng Huang; Dengfeng Chai; Tao Lin 008; Pengliang Wei (Agro-Geoinformatics, 2021)

Learning by Active Forgetting for Neural Networks. - Jian Peng 009; Xian Sun; Min Deng; Chao Tao 001; Bo Tang 011; Wenbo Li 004; Guohua Wu 001; Qing Zhu; Yu Liu 003; Tao Lin 008; Haifeng Li 007 (CoRR, 2021)

Estimating Traffic Flow in Large Road Networks Based on Multi-Source Traffic Data. - Pu Wang 005; Jiyu Lai; Zhiren Huang; Qian Tan; Tao Lin 008 (IEEE Trans. Intell. Transp. Syst., 2021)

Rice mapping based on Sentinel-1 images using the coupling of prior knowledge and deep semantic segmentation network: A case study in Northeast China from 2019 to 2021. - Pengliang Wei; Dengfeng Chai; Ran Huang; Dailiang Peng; Tao Lin 008; Jinming Sha; Weiwei Sun; Jingfeng Huang (Int. J. Appl. Earth Obs. Geoinformation, 2022)

An interpretable deep learning approach for calibration transfer among multiple near-infrared instruments. - Jie Yang 070; Juntao Li; Jie Hu; Wenjun Yang; Xiaolei Zhang; Jinfan Xu; Youchao Zhang; Xuan Luo; K. C. Ting; Tao Lin 008; Yibin Ying (Comput. Electron. Agric., 2022)

Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series. - Zhixian Lin; Renhai Zhong; Xingguo Xiong; Changqiang Guo; Jinfan Xu; Yue Zhu; Jialu Xu; Yibin Ying; K. C. Ting; Jingfeng Huang; Tao Lin 008 (Remote. Sens., 2022)

Rice Mapping in Training Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels. - Pengliang Wei; Ran Huang; Tao Lin 008; Jingfeng Huang (Remote. Sens., 2022)

Semantic Segmentation Based on Temporal Features: Learning of Temporal-Spatial Information From Time-Series SAR Images for Paddy Rice Mapping. - Lingbo Yang; Ran Huang; Jingfeng Huang; Tao Lin 008; Limin Wang 005; Ruzemaimaiti Mijiti; Pengliang Wei; Chao Tang; Jie Shao 002; Qiangzi Li; Xin Du 004 (IEEE Trans. Geosci. Remote. Sens., 2022)

Traffic Speed Estimation Based on Multi-Source GPS Data and Mixture Model. - Pu Wang 005; Zhiren Huang; Jiyu Lai; Zhihao Zheng; Yang Liu; Tao Lin 008 (IEEE Trans. Intell. Transp. Syst., 2022)

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. - Jiawei Zhu; Xing Han; Hanhan Deng; Chao Tao 001; Ling Zhao 005; Pu Wang 005; Tao Lin 008; Haifeng Li 007 (IEEE Trans. Intell. Transp. Syst., 2022)

Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation. - Jian Peng 009; Bo Tang 011; Hao Jiang 020; Zhuo Li; Yinjie Lei; Tao Lin 008; Haifeng Li 007 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep Hierarchical Temporal Data Fusion Improves Yield Estimation under Extreme Climate Stress. - Xingguo Xiong; Renhai Zhong; Qiyu Tian; Tao Lin 008 (IGARSS, 2024)

Integration of harvester trajectory and satellite imagery for large-scale winter wheat mapping using deep positive and unlabeled learning. - Xingguo Xiong; Jie Yang 070; Renhai Zhong; Jinwei Dong; Jingfeng Huang; K. C. Ting; Yibin Ying; Tao Lin 008 (Comput. Electron. Agric., 2024)

Mobile robotics platform for strawberry sensing and harvesting within precision indoor farming systems. - Guoqiang Ren; Tianhao Wu; Tao Lin 008; Liangjing Yang; Girish Chowdhary 001; K. C. Ting; Yibin Ying (J. Field Robotics, 2024)