| Image quality assessment: Unifying structure and texture similarity K Ding, K Ma, S Wang, EP Simoncelli IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2567 …, 2022 | 884 | 2022 |
| Comparison of full-reference image quality models for optimization of image processing systems K Ding, K Ma, S Wang, EP Simoncelli International Journal of Computer Vision 129 (4), 1258-1281, 2021 | 240 | 2021 |
| Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation K Ding, L Xiao, G Weng Signal Processing 134, 224-233, 2017 | 193 | 2017 |
| Active contours driven by local pre-fitting energy for fast image segmentation K Ding, L Xiao, G Weng Pattern Recognition Letters 104, 29-36, 2018 | 128 | 2018 |
| Social media popularity prediction: A multiple feature fusion approach with deep neural networks K Ding, R Wang, S Wang Proceedings of the 27th ACM International Conference on Multimedia, 2682-2686, 2019 | 79 | 2019 |
| Behavior-induced health condition monitoring of caged chickens using binocular vision L Xiao, K Ding, Y Gao, X Rao Computers and Electronics in Agriculture 156, 254-262, 2019 | 65 | 2019 |
| Scientific large language models: A survey on biological & chemical domains Q Zhang, K Ding, T Lv, X Wang, Q Yin, Y Zhang, J Yu, Y Wang, X Li, ... ACM Computing Surveys, 2024 | 49 | 2024 |
| Locally adaptive structure and texture similarity for image quality assessment K Ding, Y Liu, X Zou, S Wang, K Ma Proceedings of the 29th ACM International Conference on multimedia, 2483-2491, 2021 | 47 | 2021 |
| Intrinsic image popularity assessment K Ding, K Ma, S Wang Proceedings of the 27th ACM international conference on multimedia, 1979-1987, 2019 | 38 | 2019 |
| Instructprotein: Aligning human and protein language via knowledge instruction Z Wang, Q Zhang, K Ding, M Qin, X Zhuang, X Li, H Chen Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 25 | 2024 |
| Learning invariant molecular representation in latent discrete space X Zhuang, Q Zhang, K Ding, Y Bian, X Wang, J Lv, H Chen, H Chen Advances in Neural Information Processing Systems 36, 78435-78452, 2023 | 20 | 2023 |
| Graph sampling-based meta-learning for molecular property prediction X Zhuang, Q Zhang, B Wu, K Ding, Y Fang, H Chen Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 13 | 2023 |
| A simple method to improve initialization robustness for active contours driven by local region fitting energy K Ding, L Xiao arXiv preprint arXiv:1802.10437, 2018 | 12 | 2018 |
| Retrosynthesis prediction with an iterative string editing model Y Han, X Xu, CY Hsieh, K Ding, H Xu, R Xu, T Hou, Q Zhang, H Chen Nature Communications 15 (1), 6404, 2024 | 8 | 2024 |
| Sample-efficient human evaluation of large language models via maximum discrepancy competition K Feng, K Ding, K Ma, Z Wang, Q Zhang, H Chen arXiv preprint arXiv:2404.08008, 2024 | 6 | 2024 |
| Sciknoweval: Evaluating multi-level scientific knowledge of large language models K Feng, K Ding, W Wang, X Zhuang, Z Wang, M Qin, Y Zhao, J Yao, ... arXiv preprint arXiv:2406.09098, 2024 | 4 | 2024 |
| Opinion-unaware blind image quality assessment using multi-scale deep feature statistics Z Ni, Y Liu, K Ding, W Yang, H Wang, S Wang IEEE Transactions on Multimedia, 2024 | 4 | 2024 |
| Active finetuning protein language model: A budget-friendly method for directed evolution M Qin, K Ding, B Wu, Z Li, H Yang, Z Wang, H Ye, H Yu, H Chen, Q Zhang ECAI 2023, 1914-1921, 2023 | 4 | 2023 |
| Instructbiomol: Advancing biomolecule understanding and design following human instructions X Zhuang, K Ding, T Lyu, Y Jiang, X Li, Z Xiang, Z Wang, M Qin, K Feng, ... arXiv preprint arXiv:2410.07919, 2024 | 3 | 2024 |
| SciSafeEval: A comprehensive benchmark for safety alignment of large language models in scientific tasks T Li, J Lu, C Chu, T Zeng, Y Zheng, M Li, H Huang, B Wu, Z Liu, K Ma, ... arXiv preprint arXiv:2410.03769, 2024 | 3 | 2024 |
Shiqi Wang 王诗淇Associate Professor, Department of Computer Science, City University of Hong KongВерификована је имејл адреса на cityu.edu.hk