| Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... Advances in neural information processing systems 35, 23716-23736, 2022 | 3334 | 2022 |
| 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 | 2217 | 2023 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 1075 | 2021 |
| Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 740 | 2024 |
| 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 | 703 | 2024 |
| Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects MA Alcorn, Q Li, Z Gong, C Wang, L Mai, WS Ku, A Nguyen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 359 | 2019 |
| Adversarial and clean data are not twins Z Gong, W Wang Proceedings of the sixth international workshop on exploiting artificial …, 2023 | 345 | 2023 |
| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 203 | 2024 |
| Cyprien de Masson d’Autume JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... | 100 | 2021 |
| Adversarial texts with gradient methods Z Gong, W Wang, B Li, D Song, WS Ku arXiv preprint arXiv:1801.07175, 2018 | 86 | 2018 |
| Mikoł aj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan. Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... Advances in Neural Information Processing Systems 35, 23716-23736, 2022 | 78 | 2022 |
| Cyprien de Masson d’Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, HF Song, J Aslanides, ... Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac …, 2021 | 69 | 2021 |
| Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. In 2019 IEEE MA Alcorn, Q Li, Z Gong, C Wang, L Mai, WS Ku, A Nguyen CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4840-4849, 2019 | 26 | 2019 |
| Scaling instructable agents across many simulated worlds MA Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ... arXiv preprint arXiv:2404.10179, 2024 | 9 | 2024 |
| Adversarial and clean data are not twins. arXiv 2017 Z Gong, W Wang, WS Ku arXiv preprint arXiv:1704.04960, 0 | 8 | |
| On location privacy in fingerprinting-based indoor positioning system: An encryption approach W Wang, Z Gong, J Zhang, H Lu, WS Ku Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 7 | 2019 |
| An improved English to Chinese translation of technical text X Zhang, S Tao, Z Gong, B Wu, R Wang, BM Wilamowski 2015 IEEE 19th International Conference on Intelligent Engineering Systems …, 2015 | 6 | 2015 |
| Scaling instructable agents across many simulated worlds M Abi Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ... arXiv e-prints, arXiv: 2404.10179, 2024 | 5 | 2024 |
| Adversarial and clean data are not twins (2017) Z Gong, W Wang, WS Ku Preprint. arXiv 1704, 0 | 4 | |
| RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques B Hui, W Wang, J Yu, Z Gong, WS Ku, MT Sun, H Lu arXiv preprint arXiv:2204.00747, 2022 | 2 | 2022 |
Wenlu WangAssistant Professor of Computer Science, Texas A&M University-Corpus ChristiVerified email at tamucc.edu
