An Improved Invariant for Matching Molecular Graphs Based on VF2 Algorithm. - Huiliang Shang; Yudong Tao; Yuan Gao 043; Chen Zhang; Xiaoling Wang (IEEE Trans. Syst. Man Cybern. Syst., 2015)

A novel unified dummy fill insertion framework with SQP-based optimization method. - Yudong Tao; Changhao Yan; Yibo Lin; Sheng-Guo Wang; David Z. Pan; Xuan Zeng 001 (ICCAD, 2016)

Mining Anomalies in Medicare Big Data Using Patient Rule Induction Method. - Saad Sadiq; Yudong Tao; Yilin Yan; Mei-Ling Shyu (BigMM, 2017)

Florida International University - University of Miami TRECVID 2017. - Yilin Yan; Samira Pouyanfar; Yudong Tao; Haiman Tian; Maria E. Presa Reyes; Mei-Ling Shyu; Shu-Ching Chen; Winnie Chen; Tiffany Chen; Jonathan Chen (TRECVID, 2017)

Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. - Samira Pouyanfar; Yudong Tao; Anup Mohan; Haiman Tian; Ahmed S. Kaseb; Kent Gauen; Ryan Dailey; Sarah Aghajanzadeh; Yung-Hsiang Lu; Shu-Ching Chen; Mei-Ling Shyu (MIPR, 2018)

Florida International University - University of Miami TRECVID 2018. - Samira Pouyanfar; Yudong Tao; Haiman Tian; Maria E. Presa Reyes; Yuexuan Tu; Yilin Yan; Tianyi Wang 003; Hector Cen Zheng; Yingxin Li; Saad Sadiq; Mei-Ling Shyu; Shu-Ching Chen; et al. (TRECVID, 2018)

Audio-Based Group Detection for Classroom Dynamics Analysis. - Yudong Tao; Samantha G. Mitsven; Lynn K. Perry; Daniel S. Messinger; Mei-Ling Shyu (ICDM Workshops, 2019)

Unconstrained Flood Event Detection Using Adversarial Data Augmentation. - Samira Pouyanfar; Yudong Tao; Saad Sadiq; Haiman Tian; Yuexuan Tu; Tianyi Wang 003; Shu-Ching Chen; Mei-Ling Shyu (ICIP, 2019)

SP-ASDNet: CNN-LSTM Based ASD Classification Model using Observer ScanPaths. - Yudong Tao; Mei-Ling Shyu (ICME Workshops, 2019)

A Power Efficient Neural Network Implementation on Heterogeneous FPGA and GPU Devices. - Yuexuan Tu; Saad Sadiq; Yudong Tao; Mei-Ling Shyu; Shu-Ching Chen (IRI, 2019)

A Framework for Airfare Price Prediction: A Machine Learning Approach. - Tianyi Wang 003; Samira Pouyanfar; Haiman Tian; Yudong Tao; Miguel Alonso; Steven Luis; Shu-Ching Chen (IRI, 2019)

Efficient Incremental Training for Deep Convolutional Neural Networks. - Yudong Tao; Yuexuan Tu; Mei-Ling Shyu (MIPR, 2019)

Florida International University - University ofMiami TRECVID 2019. - Yudong Tao; Tianyi Wang 003; Diana Machado; Raúl García; Yuexuan Tu; Maria E. Presa Reyes; Yeda Chen; Haiman Tian; Mei-Ling Shyu; Shu-Ching Chen (TRECVID, 2019)

A Survey on Deep Learning: Algorithms, Techniques, and Applications. - Samira Pouyanfar; Saad Sadiq; Yilin Yan; Haiman Tian; Yudong Tao; Maria E. Presa Reyes; Mei-Ling Shyu; Shu-Ching Chen; S. S. Iyengar 001 (ACM Comput. Surv., 2019)

Multimodal deep learning based on multiple correspondence analysis for disaster management. - Samira Pouyanfar; Yudong Tao; Haiman Tian; Shu-Ching Chen; Mei-Ling Shyu (World Wide Web, 2019)

Multimodal deep representation learning for video classification. - Haiman Tian; Yudong Tao; Samira Pouyanfar; Shu-Ching Chen; Mei-Ling Shyu (World Wide Web, 2019)

Challenges in Energy-Efficient Deep Neural Network Training with FPGA. - Yudong Tao; Rui Ma; Mei-Ling Shyu; Shu-Ching Chen (CVPR Workshops, 2020)

Objective Measurement of Social Communication Behaviors in Children with Suspected ASD During the ADOS-2. - Amy Yeo-jin Ahn; Jacquelyn Moffitt; Yudong Tao; Stephanie Custode; Mei-Ling Shyu; Lynn Perry; Daniel S. Messinger (ICMI Companion, 2020)

Data Drive Development-Multimodal Measurement of Classroom Interaction. - Daniel S. Messinger; Lynn Perry; Chaoming Song; Yudong Tao; Samantha G. Mitsven; Regina Fasano; Chitra Banarjee; Yi Zhang; Mei-Ling Shyu (ICMI Companion, 2020)

Confidence Estimation Using Machine Learning in Immersive Learning Environments. - Yudong Tao; Erik Coltey; Tianyi Wang 003; Miguel Alonso; Mei-Ling Shyu; Shu-Ching Chen; Hadi Alhaffar; Albert Elias; Biayna Bogosian; Shahin Vassigh (MIPR, 2020)

Multi-task Multimodal Learning for Disaster Situation Assessment. - Tianyi Wang 003; Yudong Tao; Shu-Ching Chen; Mei-Ling Shyu (MIPR, 2020)

Florida International University - University of Miami TRECVID 2020 DSDI Track. - Maria E. Presa Reyes; Yudong Tao; Shu-Ching Chen; Mei-Ling Shyu (TRECVID, 2020)

Data-Driven In-Crisis Community Identification for Disaster Response and Management. - Yudong Tao; Renhe Jiang; Erik Coltey; Chuang Yang 002; Xuan Song 001; Ryosuke Shibasaki; Mei-Ling Shyu; Shu-Ching Chen (CIC, 2021)

Generalized Structure for Adaptable Immersive Learning Environments. - Erik Coltey; Yudong Tao; Tianyi Wang 003; Shahin Vassigh; Shu-Ching Chen; Mei-Ling Shyu (IRI, 2021)

Multimodal Data Integration for Interactive and Realistic Avatar Simulation in Augmented Reality. - Anchen Sun; Yudong Tao; Mei-Ling Shyu; Shu-Ching Chen; Angela Blizzard; William Andrew Rothenberg; Dainelys Garcia; Jason F. Jent (IRI, 2021)

Simulating COVID19 Transmission From Observed Movement: An Agent-Based Model of Classroom Dispersion. - Yi Zhang; Yudong Tao; Mei-Ling Shyu; Lynn K. Perry; Prem R. Warde; Daniel S. Messinger; Chaoming Song (CoRR, 2021)

A Novel and Unified Full-Chip CMP Model Aware Dummy Fill Insertion Framework With SQP-Based Optimization Method. - Junzhe Cai; Changhao Yan; Yudong Tao; Yibo Lin; Sheng-Guo Wang; David Z. Pan; Xuan Zeng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Multi-Source Weak Supervision Fusion for Disaster Scene Recognition in Videos. - Maria E. Presa Reyes; Yudong Tao; Rui Ma; Shu-Ching Chen; Mei-Ling Shyu (MIPR, 2022)

Data Analytics for Air Travel Data: A Survey and New Perspectives. - Haiman Tian; Maria E. Presa Reyes; Yudong Tao; Tianyi Wang 003; Samira Pouyanfar; Miguel Alonso; Steven Luis; Mei-Ling Shyu; Shu-Ching Chen; Sundaraja Sitharama Iyengar (ACM Comput. Surv., 2022)

Multimodal Data Integration and User Interaction for Avatar Simulation in Augmented Reality. - Anchen Sun; Yudong Tao; Mei-Ling Shyu; Angela Blizzard; William Andrew Rothenberg; Dainelys Garcia; Jason F. Jent (Int. J. Multim. Data Eng. Manag., 2022)

Florida public hurricane loss model: Software system for insurance loss projection. - Yudong Tao; Tianyi Wang 003; Anchen Sun; Shahid S. Hamid; Shu-Ching Chen; Mei-Ling Shyu (Softw. Pract. Exp., 2022)

Deep Learning With Weak Supervision for Disaster Scene Description in Low-Altitude Imagery. - Maria E. Presa Reyes; Yudong Tao; Shu-Ching Chen; Mei-Ling Shyu (IEEE Trans. Geosci. Remote. Sens., 2022)

Enhancing Noisy Binary Search Efficiency through Deep Reinforcement Learning. - Rui Ma; Yudong Tao; Mohamed M. Khodeiry; Karam A. Alawa; Mei-Ling Shyu; Richard K. Lee (IRI, 2023)

Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. - Renhe Jiang; Zhaonan Wang 001; Yudong Tao; Chuang Yang 002; Xuan Song 001; Ryosuke Shibasaki; Shu-Ching Chen; Mei-Ling Shyu (WWW, 2023)

A Survey on Data-driven COVID-19 and Future Pandemic Management. - Yudong Tao; Chuang Yang 002; Tianyi Wang 003; Erik Coltey; Yanxiu Jin; Yinghao Liu; Renhe Jiang; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki; Shu-Ching Chen; Mei-Ling Shyu; et al. (ACM Comput. Surv., 2023)

An Extensive-Form Game Paradigm for Visual Field Testing via Deep Reinforcement Learning. - Rui Ma; Yudong Tao; Mohamed M. Khodeiry; Xiangxiang Liu; Ximena Mendoza; Yuan Liu; Mei-Ling Shyu; Richard K. Lee (IEEE Trans. Biomed. Eng., 2024)

HBeeID: a molecular tool that identifies honey bee subspecies from different geographic populations. - Ravikiran Donthu; Jose A. P. Marcelino; Rosanna Giordano; Yudong Tao; Everett Weber; Arian Avalos; Mark Band; Tatsiana Akraiko; Shu-Ching Chen; Maria P. Reyes; Haiping Hao; Yarira Ortiz-Alvarado; et al. (BMC Bioinform., 2024)