| Scalable temporal latent space inference for link prediction in dynamic social networks L Zhu, D Guo, J Yin, G Ver Steeg, A Galstyan IEEE Transactions on Knowledge and Data Engineering 28 (10), 2765-2777, 2016 | 302 | 2016 |
| Llava-onevision: Easy visual task transfer B Li, Y Zhang, D Guo, R Zhang, F Li, H Zhang, K Zhang, P Zhang, Y Li, ... arXiv preprint arXiv:2408.03326, 2024 | 245 | 2024 |
| Cycle-by-cycle intersection queue length distribution estimation using sample travel times P Hao, XJ Ban, D Guo, Q Ji Transportation research part B: methodological 68, 185-204, 2014 | 109 | 2014 |
| Vehicle index estimation for signalized intersections using sample travel times P Hao, Z Sun, XJ Ban, D Guo, Q Ji Procedia-Social and Behavioral Sciences 80, 473-490, 2013 | 81 | 2013 |
| Global model for failure prediction for artificial lift systems Y Liu, KT Yao, CS Raghavendra, A Wu, D Guo, J Zheng, L Olabinjo, ... US Patent 9,292,799, 2016 | 73 | 2016 |
| How to scale up kernel methods to be as good as deep neural nets Z Lu, A May, K Liu, AB Garakani, D Guo, A Bellet, L Fan, M Collins, ... arXiv preprint arXiv:1411.4000, 2014 | 58 | 2014 |
| Llava-next: Stronger llms supercharge multimodal capabilities in the wild B Li, K Zhang, H Zhang, D Guo, R Zhang, F Li, Y Zhang, Z Liu, C Li May, 2024 | 49 | 2024 |
| Data driven approach to failure prediction for electrical submersible pump systems D Guo, CS Raghavendra, KT Yao, M Harding, A Anvar, A Patel SPE Western Regional Meeting, SPE-174062-MS, 2015 | 46 | 2015 |
| Global model for failure prediction for rod pump artificial lift systems Y Liu, KT Yao, CS Raghavenda, A Wu, D Guo, J Zheng, L Olabinjo, ... SPE Western Regional Meeting, SPE-165374-MS, 2013 | 23 | 2013 |
| Kernel approximation methods for speech recognition A May Columbia University, 2018 | 22 | 2018 |
| Instructme: An instruction guided music edit and remix framework with latent diffusion models B Han, J Dai, W Hao, X He, D Guo, J Chen, Y Wang, Y Qian, X Song arXiv preprint arXiv:2308.14360, 2023 | 17 | 2023 |
| A comparison between deep neural nets and kernel acoustic models for speech recognition FS Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May ... IEEE International Conference on Acoustics, Speech and Signal Processing, 2016 | 16* | 2016 |
| Llava-critic: Learning to evaluate multimodal models T Xiong, X Wang, D Guo, Q Ye, H Fan, Q Gu, H Huang, C Li arXiv preprint arXiv:2410.02712, 2024 | 15 | 2024 |
| Kernel approximation methods for speech recognition A May, AB Garakani, Z Lu, D Guo, K Liu, A Bellet, L Fan, M Collins, D Hsu, ... Journal of Machine Learning Research 20 (59), 1-36, 2019 | 13 | 2019 |
| Fei Sha. How to scale up kernel methods to be as good as deep neural nets Z Lu, A May, K Liu, AB Garakani, D Guo, A Bellet, L Fan, M Collins, ... arXiv preprint arXiv:1411.4000, 2014 | 10 | 2014 |
| Scalable link prediction in dynamic networks via non-negative matrix factorization L Zhu, D Guo, J Yin, GV Steeg, A Galstyan arXiv preprint arXiv:1411.3675, 2014 | 9 | 2014 |
| Llava-next: What else influences visual instruction tuning beyond data B Li, H Zhang, K Zhang, D Guo, Y Zhang, R Zhang, F Li, Z Liu, C Li May, 2024 | 7 | 2024 |
| Large-scale unsupervised deep representation learning for brain structure A Jaiswal, D Guo, CS Raghavendra, P Thompson arXiv preprint arXiv:1805.01049, 2018 | 6 | 2018 |
| Weighted task regularization for multitask learning Y Liu, A Wu, D Guo, KT Yao, CS Raghavendra 2013 IEEE 13th International Conference on Data Mining Workshops, 399-406, 2013 | 6 | 2013 |
| LLaVA-NeXT: Stronger LLMs supercharge multimodal capabilities in the wild (2024) B Li, K Zhang, H Zhang, D Guo, R Zhang, F Li, Y Zhang, Z Liu, C Li URL https://llava-vl. github. io/blog/2024-05-10-llava-next-stronger-llms, 0 | 3 | |
