| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2532 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 974 | 2024 |
| A Multi-variable Stacked Long-Short Term Memory Network for Wind Speed Forecasting FJ Sisheng Liang, Long Nguyen IEEE International Conference on Big Data, 4561-4564, 2018 | 73* | 2018 |
| Twitter vs news: Concern analysis of the 2018 california wildfire event H Du, L Nguyen, Z Yang, H Abu-Gellban, X Zhou, W Xing, G Cao, F Jin 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019 | 52 | 2019 |
| Harvey Flooding Rescue in Social Media Z Yang, L Nguyen, J Stuve, G Cao, F Jin IEEE International Conference on Big Data, 2017 | 45 | 2017 |
| Forecasting people's needs in hurricane events from social network L Nguyen, Z Yang, J Li, G Cao, F Jin IEEE Transaction on Big Data, 2018 | 43 | 2018 |
| Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction L Nguyen, J Zhen, Z Lin, H Du, Z Yang, W Guo, F Jin PAKDD 11439, 343-354, 2019 | 35 | 2019 |
| Google trends analysis of covid-19 pandemic Z Pan, HL Nguyen, H Abu-Gellban, Y Zhang 2020 IEEE International Conference on Big Data (Big Data), 3438-3446, 2020 | 27 | 2020 |
| Livedi: An anti-theft model based on driving behavior H Abu-Gellban, L Nguyen, M Moghadasi, Z Pan, F Jin Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia …, 2020 | 22 | 2020 |
| Self-boosted time-series forecasting with multi-task and multi-view learning LH Nguyen, Z Pan, O Openiyi, H Abu-gellban, M Moghadasi, F Jin arXiv preprint arXiv:1909.08181, 2019 | 20 | 2019 |
| Coordinating disaster emergency response with heuristic reinforcement learning L Nguyen, Z Yang, J Zhu, J Li, F Jin arXiv preprint arXiv:1811.05010, 2018 | 17 | 2018 |
| Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning Z Yang, L Nguyen, F Jin | 15 | 2019 |
| Opioid Relapse Prediction with GAN Z Yang, L Nguyen, F Jin ASONAM, 2018 | 15* | 2018 |
| Csdleeg: Identifying confused students based on eeg using multi-view deep learning H Abu-gellban, Y Zhuang, L Nguyen, Z Zhang, E Imhmed 2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022 | 11 | 2022 |
| Nipred: Need predictor for hurricane disaster relief LH Nguyen, S Jiang, H Abu-Gellban, H Du, F Jin Proceedings of the 16th International Symposium on Spatial and Temporal …, 2019 | 9 | 2019 |
| Smart and Connected Water Resource Management via Social Media and Community Engagement N Long, H Rattikorn, N Akbar, A Nicholas, B Cristina, J Fang 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 9 | 2018 |
| A Natural Language Normalization Approach to Enhance Social Media Text Reasoning L Nguyen, A Salopek, L Zhao, F Jin IEEE International Conference on Big Data, 2017 | 9 | 2017 |
| HatEmoTweet: Low-level emotion classifications and spatiotemporal trends of hate and offensive COVID-19 tweets A Adesokan, S Madria, L Nguyen Social Network Analysis and Mining 13 (1), 136, 2023 | 8 | 2023 |
| Empowering climate resilience: Leveraging cloud computing and big data for community Climate Change Impact Service (C3IS) E Levin, N Beisekenov, M Wilson, M Sadenova, R Nabaweesi, L Nguyen Remote Sensing 15 (21), 5160, 2023 | 7 | 2023 |
| TweetACE: A Fine-grained Classification of Disaster Tweets using Transformer Model A Adesokan, S Madria, L Nguyen 2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9, 2023 | 6 | 2023 |
Fang JinDept. of Statistics, George Washington Universitygwu.edu의 이메일 확인됨