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Publication search results
found 223 matches
- 2023
- Yudong Tao, Chuang Yang, Tianyi Wang, Erik Coltey, Yanxiu Jin, Yinghao Liu, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu, Steven Luis:
A Survey on Data-driven COVID-19 and Future Pandemic Management. ACM Comput. Surv. 55(7): 141:1-141:36 (2023) - Ayushman Das, Shu-Ching Chen, Mei-Ling Shyu, Saad Sadiq:
Enabling Synergistic Knowledge Sharing and Reasoning in Large Language Models with Collaborative Multi-Agents. CIC 2023: 92-98 - Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu:
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. WWW 2023: 2655-2665 - 2022
- Haiman Tian, Maria E. Presa Reyes, Yudong Tao, Tianyi Wang, Samira Pouyanfar, Miguel Alonso, Steven Luis, Mei-Ling Shyu, Shu-Ching Chen, Sundaraja Sitharama Iyengar:
Data Analytics for Air Travel Data: A Survey and New Perspectives. ACM Comput. Surv. 54(8): 167:1-167:35 (2022) - Yudong Tao, Tianyi Wang, Anchen Sun, Shahid S. Hamid, Shu-Ching Chen, Mei-Ling Shyu:
Florida public hurricane loss model: Software system for insurance loss projection. Softw. Pract. Exp. 52(7): 1736-1755 (2022) - Maria E. Presa Reyes, Yudong Tao, Shu-Ching Chen, Mei-Ling Shyu:
Deep Learning With Weak Supervision for Disaster Scene Description in Low-Altitude Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - Maria E. Presa Reyes, Yudong Tao, Rui Ma, Shu-Ching Chen, Mei-Ling Shyu:
Multi-Source Weak Supervision Fusion for Disaster Scene Recognition in Videos. MIPR 2022: 287-292 - Shu-Ching Chen, Her-Terng Yau, Roland Stenzel, Hsiung-Cheng Lin:
24th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD Winter 2022, Taichung, Taiwan, December 7-9, 2022. IEEE 2022, ISBN 979-8-3503-1041-2 [contents] - 2021
- Li-Te Chin, Ke-Wei Liu, Yi-Han Chen, Shu-Ching Hsu, Lin Huang:
Cell-based assays and molecular simulation reveal that the anti-cancer harmine is a specific matrix metalloproteinase-3 (MMP-3) inhibitor. Comput. Biol. Chem. 94: 107556 (2021) - Yudong Tao, Renhe Jiang, Erik Coltey, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Mei-Ling Shyu, Shu-Ching Chen:
Data-Driven In-Crisis Community Identification for Disaster Response and Management. CIC 2021: 96-104 - Wan-Jung Chang, Jian-Ping Su, Chia-Hao Chen, Shu-Ching Liu, Chih-Ching Chang, Mei-Ling Tsai, Liang-Bi Chen:
iFitness: A Deep Learning-Based Physical Fitness Motion Detection System for Elderly People. GCCE 2021: 458-459 - Erik Coltey, Yudong Tao, Tianyi Wang, Shahin Vassigh, Shu-Ching Chen, Mei-Ling Shyu:
Generalized Structure for Adaptable Immersive Learning Environments. IRI 2021: 294-301 - Anchen Sun, Yudong Tao, Mei-Ling Shyu, Shu-Ching Chen, Angela Blizzard, William Andrew Rothenberg, Dainelys Garcia, Jason F. Jent:
Multimodal Data Integration for Interactive and Realistic Avatar Simulation in Augmented Reality. IRI 2021: 362-369 - 2020
- Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Evolutionary Programming Based Deep Learning Feature Selection and Network Construction for Visual Data Classification. Inf. Syst. Frontiers 22(5): 1053-1066 (2020) - Shicheng Cui, Tao Li, Shu-Ching Chen, Mei-Ling Shyu, Qianmu Li, Hong Zhang:
DISL: Deep Isomorphic Substructure Learning for network representations. Knowl. Based Syst. 189 (2020) - Yudong Tao, Rui Ma, Mei-Ling Shyu, Shu-Ching Chen:
Challenges in Energy-Efficient Deep Neural Network Training with FPGA. CVPR Workshops 2020: 1602-1611 - Yudong Tao, Erik Coltey, Tianyi Wang, Miguel Alonso, Mei-Ling Shyu, Shu-Ching Chen, Hadi Alhaffar, Albert Elias, Biayna Bogosian, Shahin Vassigh:
Confidence Estimation Using Machine Learning in Immersive Learning Environments. MIPR 2020: 247-252 - Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Evolutionary Programming Based Deep Feature and Model Selection for Visual Data Classification. MIPR 2020: 61-66 - Tianyi Wang, Yudong Tao, Shu-Ching Chen, Mei-Ling Shyu:
Multi-task Multimodal Learning for Disaster Situation Assessment. MIPR 2020: 209-212 - Maria E. Presa Reyes, Yudong Tao, Shu-Ching Chen, Mei-Ling Shyu:
Florida International University - University of Miami TRECVID 2020 DSDI Track. TRECVID 2020 - 2019
- Samira Pouyanfar, Saad Sadiq, Yilin Yan, Haiman Tian, Yudong Tao, Maria E. Presa Reyes, Mei-Ling Shyu, Shu-Ching Chen, S. S. Iyengar:
A Survey on Deep Learning: Algorithms, Techniques, and Applications. ACM Comput. Surv. 51(5): 92:1-92:36 (2019) - Shu-Ching Wang, Ya-Jung Lin, Kuo-Qin Yan:
Reaching Byzantine Agreement underlying VANET. KSII Trans. Internet Inf. Syst. 13(7): 3351-3368 (2019) - Samira Pouyanfar, Yudong Tao, Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Multimodal deep learning based on multiple correspondence analysis for disaster management. World Wide Web 22(5): 1893-1911 (2019) - Haiman Tian, Yudong Tao, Samira Pouyanfar, Shu-Ching Chen, Mei-Ling Shyu:
Multimodal deep representation learning for video classification. World Wide Web 22(3): 1325-1341 (2019) - Shu-Ching Wang, Hsiu-Wei Hsu, Chan-Grong Dai, Chin-Ling Ho, Fang-Yu Zhang:
Use Product Segmentation to Enhance the Competitiveness of Enterprises in the IoT. iCAST 2019: 1-6 - Shu-Ching Wang, Wei-Shu Hsiung, Yi-Syuan Lin, Rong-Chung Chen, Hsin-Hung Pan:
The Data Analysis for the Influence of Cross-cultural Training on the Adaptability of Foreign Workers. iCAST 2019: 1-7 - Shu-Ching Wang, Hsiu-Wei Hsu, Hung-Hsuan Wang, Hsin-Hung Pan, Po-Chien Lin:
Quality Enhancement of P2P using Interested Clusters in the P4P Architecture. iCAST 2019: 1-6 - Samira Pouyanfar, Yudong Tao, Saad Sadiq, Haiman Tian, Yuexuan Tu, Tianyi Wang, Shu-Ching Chen, Mei-Ling Shyu:
Unconstrained Flood Event Detection Using Adversarial Data Augmentation. ICIP 2019: 155-159 - Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Genetic Algorithm Based Deep Learning Model Selection for Visual Data Classification. IRI 2019: 127-134 - Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu, Stuart H. Rubin:
Automated Neural Network Construction with Similarity Sensitive Evolutionary Algorithms. IRI 2019: 283-290
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