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 | 787 | 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 | 226 | 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 | 126 | 2018 |
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 | 74 | 2019 |
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 | 71 | 2019 |
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 | 36 | 2021 |
Intrinsic image popularity assessment K Ding, K Ma, S Wang Proceedings of the 27th ACM international conference on multimedia, 1979-1987, 2019 | 36 | 2019 |
Scientific large language models: A survey on biological & chemical domains Q Zhang, K Ding, T Lyv, X Wang, Q Yin, Y Zhang, J Yu, Y Wang, X Li, ... arXiv preprint arXiv:2401.14656, 2024 | 29 | 2024 |
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 | 16 | 2024 |
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 |
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 | 11 | 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 | 10 | 2023 |
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 | 3 | 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 | 3 | 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 | 3 | 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 | 3 | 2023 |
Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation Y Li, P Chen, H Zhu, K Ding, L Li, S Wang ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2024 | 2 | 2024 |
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 | 2 | 2024 |
Knowledge-aware Reinforced Language Models for Protein Directed Evolution Y Wang, Q Zhang, M Qin, X Zhuang, X Li, Z Gong, Z Wang, Y Zhao, J Yao, ... Forty-first International Conference on Machine Learning (ICML), 2024 | 2* | 2024 |