| 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 | 626 | 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 | 203 | 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 | 182 | 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 | 120 | 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 | 70 | 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 | 61 | 2019 |
| Intrinsic image popularity assessment K Ding, K Ma, S Wang Proceedings of the 27th ACM international conference on multimedia, 1979-1987, 2019 | 34 | 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 | 29 | 2021 |
| 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 | 11 | 2024 |
| Instructprotein: Aligning human and protein language via knowledge instruction Z Wang, Q Zhang, K Ding, M Qin, X Zhuang, X Li, H Chen arXiv preprint arXiv:2310.03269, 2023 | 8 | 2023 |
| 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, 2024 | 7 | 2024 |
| Graph sampling-based meta-learning for molecular property prediction X Zhuang, Q Zhang, B Wu, K Ding, Y Fang, H Chen arXiv preprint arXiv:2306.16780, 2023 | 6 | 2023 |
| 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 |
| CD-iNet: Deep Invertible Network for Perceptual Image Color Difference Measurement Z Wang, K Xu, K Ding, Q Jiang, Y Zuo, Z Ni, Y Fang International Journal of Computer Vision, 1-21, 2024 | 1 | 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 | 1 | 2024 |
| Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation Y Li, P Chen, H Zhu, K Ding, L Li, S Wang arXiv preprint arXiv:2401.08107, 2024 | 1 | 2024 |
| Adaptive structure and texture similarity metric for image quality assessment and optimization K Ding, R Zhong, Z Wang, Y Yu, Y Fang IEEE Transactions on Multimedia, 2023 | 1 | 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 | | 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 | | 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 | | 2024 |
Shiqi Wang 王诗淇Associate Professor, Department of Computer Science, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
