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Keyan Ding
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2020 – today
- 2025
- [j11]Qiang Zhang, Keyan Ding, Tianwen Lv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen:
Scientific Large Language Models: A Survey on Biological & Chemical Domains. ACM Comput. Surv. 57(6): 161:1-161:38 (2025) - [c14]Kehua Feng, Keyan Ding, Jing Yu, Yiwen Qu, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Huajun Chen:
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models. ICLR 2025 - [i15]Kehua Feng, Keyan Ding, Jing Yu, Menghan Li, Yuhao Wang, Tong Xu, Xinda Wang, Qiang Zhang, Huajun Chen:
ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization. CoRR abs/2504.02725 (2025) - 2024
- [j10]Zhihua Wang
, Keshuo Xu, Keyan Ding, Qiuping Jiang, Yifan Zuo, Zhangkai Ni
CD-iNet: Deep Invertible Network for Perceptual Image Color Difference Measurement. Int. J. Comput. Vis. 132(12): 5983-6003 (2024) - [j9]Keyan Ding, Rijin Zhong, Zhihua Wang
Adaptive Structure and Texture Similarity Metric for Image Quality Assessment and Optimization. IEEE Trans. Multim. 26: 5398-5409 (2024) - [j8]Zhangkai Ni
Opinion-Unaware Blind Image Quality Assessment Using Multi-Scale Deep Feature Statistics. IEEE Trans. Multim. 26: 10211-10224 (2024) - [j7]Yixuan Li
Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation. ACM Trans. Multim. Comput. Commun. Appl. 20(12): 382:1-382:21 (2024) - [c13]Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen:
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. ACL (1) 2024: 1114-1136 - [c12]Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen:
Enhancing Cross Text-Molecule Learning by Self-Augmentation. ACL (Findings) 2024: 9551-9565 - [c11]Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding:
ProTeM: Unifying Protein Function Prediction via Text Matching. ICANN (8) 2024: 132-146 - [c10]Shunyang Luo, Yuqi Tang, Mingyuan Jiang, Kehua Feng, Qiang Zhang, Keyan Ding:
Generating Multiple Choice Questions from Scientific Literature via Large Language Models. ICKG 2024: 219-226 - [c9]Zhuoyi Xiang, Xinda Wang, Xiaodong Yan, Deng Zhao, Keyan Ding, Qiang Zhang:
MedIE-Instruct: A Comprehensive Instruction Dataset for Medical Information Extraction. ICKG 2024: 420-427 - [c8]Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen:
Knowledge-aware Reinforced Language Models for Protein Directed Evolution. ICML 2024 - [c7]Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen:
DePLM: Denoising Protein Language Models for Property Optimization. NeurIPS 2024 - [i14]Yixuan Li, Peilin Chen, Hanwei Zhu, Keyan Ding, Leida Li, Shiqi Wang:
Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation. CoRR abs/2401.08107 (2024) - [i13]Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen:
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition. CoRR abs/2404.08008 (2024) - [i12]Zhangkai Ni, Yue Liu, Keyan Ding, Wenhan Yang, Hanli Wang, Shiqi Wang:
Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statistics. CoRR abs/2405.18790 (2024) - [i11]Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. CoRR abs/2406.09098 (2024) - [i10]Tianhao Li, Jingyu Lu, Chuangxin Chu, Tianyu Zeng, Yujia Zheng, Mei Li, Haotian Huang, Bin Wu, Zuoxian Liu, Kai Ma, Xuejing Yuan, Xingkai Wang, Keyan Ding, Huajun Chen, Qiang Zhang:
SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks. CoRR abs/2410.03769 (2024) - [i9]Xiang Zhuang, Keyan Ding, Tianwen Lyu, Yinuo Jiang, Xiaotong Li, Zhuoyi Xiang, Zeyuan Wang, Ming Qin, Kehua Feng, Jike Wang, Qiang Zhang, Huajun Chen:
InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions. CoRR abs/2410.07919 (2024) - 2023
- [c6]Ming Qin, Keyan Ding, Bin Wu
Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. ECAI 2023: 1914-1921 - [c5]Xiang Zhuang
Graph Sampling-based Meta-Learning for Molecular Property Prediction. IJCAI 2023: 4729-4737 - [c4]Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen:
Learning Invariant Molecular Representation in Latent Discrete Space. NeurIPS 2023 - [i8]Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen:
Graph Sampling-based Meta-Learning for Molecular Property Prediction. CoRR abs/2306.16780 (2023) - [i7]Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen:
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. CoRR abs/2310.03269 (2023) - [i6]Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian
Learning Invariant Molecular Representation in Latent Discrete Space. CoRR abs/2310.14170 (2023) - 2022
- [j6]Keyan Ding
Image Quality Assessment: Unifying Structure and Texture Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2567-2581 (2022) - 2021
- [j5]Keyan Ding
Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems. Int. J. Comput. Vis. 129(4): 1258-1281 (2021) - [c3]Keyan Ding
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment. ACM Multimedia 2021: 2483-2491 - [i5]Keyan Ding, Yi Liu, Xueyi Zou, Shiqi Wang, Kede Ma:
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment. CoRR abs/2110.08521 (2021) - 2020
- [i4]Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli:
Image Quality Assessment: Unifying Structure and Texture Similarity. CoRR abs/2004.07728 (2020) - [i3]Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli:
Comparison of Image Quality Models for Optimization of Image Processing Systems. CoRR abs/2005.01338 (2020)
2010 – 2019
- 2019
- [j4]Linfang Xiao
Behavior-induced health condition monitoring of caged chickens using binocular vision. Comput. Electron. Agric. 156: 254-262 (2019) - [c2]Keyan Ding
Intrinsic Image Popularity Assessment. ACM Multimedia 2019: 1979-1987 - [c1]Keyan Ding
Social Media Popularity Prediction: A Multiple Feature Fusion Approach with Deep Neural Networks. ACM Multimedia 2019: 2682-2686 - [i2]Keyan Ding, Kede Ma, Shiqi Wang:
Intrinsic Image Popularity Assessment. CoRR abs/1907.01985 (2019) - 2018
- [j3]Linfang Xiao
Active contours driven by grayscale morphology fitting energy for fast image segmentation. J. Electronic Imaging 27(06): 063029 (2018) - [j2]Keyan Ding
Active contours driven by local pre-fitting energy for fast image segmentation. Pattern Recognit. Lett. 104: 29-36 (2018) - [i1]Keyan Ding:
A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy. CoRR abs/1802.10437 (2018) - 2017
- [j1]Keyan Ding
Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation. Signal Process. 134: 224-233 (2017)
Coauthor Index
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