Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation. - Keyan Ding; Linfang Xiao; Guirong Weng (Signal Process., 2017)

A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy. - Keyan Ding (CoRR, 2018)

Active contours driven by grayscale morphology fitting energy for fast image segmentation. - Linfang Xiao; Keyan Ding; Jinfeng Geng; Xiuqin Rao (J. Electronic Imaging, 2018)

Active contours driven by local pre-fitting energy for fast image segmentation. - Keyan Ding; Linfang Xiao; Guirong Weng (Pattern Recognit. Lett., 2018)

Intrinsic Image Popularity Assessment. - Keyan Ding; Kede Ma; Shiqi Wang 001 (ACM Multimedia, 2019)

Social Media Popularity Prediction: A Multiple Feature Fusion Approach with Deep Neural Networks. - Keyan Ding; Ronggang Wang; Shiqi Wang 001 (ACM Multimedia, 2019)

Behavior-induced health condition monitoring of caged chickens using binocular vision. - Linfang Xiao; Keyan Ding; Yingwang Gao; Xiuqin Rao (Comput. Electron. Agric., 2019)

Comparison of Image Quality Models for Optimization of Image Processing Systems. - Keyan Ding; Kede Ma; Shiqi Wang 001; Eero P. Simoncelli (CoRR, 2020)

Locally Adaptive Structure and Texture Similarity for Image Quality Assessment. - Keyan Ding; Yi Liu; Xueyi Zou; Shiqi Wang 001; Kede Ma (ACM Multimedia, 2021)

Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems. - Keyan Ding; Kede Ma; Shiqi Wang 001; Eero P. Simoncelli (Int. J. Comput. Vis., 2021)

Image Quality Assessment: Unifying Structure and Texture Similarity. - Keyan Ding; Kede Ma; Shiqi Wang 001; Eero P. Simoncelli (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. - Ming Qin; Keyan Ding; Bin Wu 025; Zhenping Li; Haihong Yang; Zeyuan Wang; Hongbin Ye; Haoran Yu; Huajun Chen; Qiang Zhang 026 (ECAI, 2023)

Graph Sampling-based Meta-Learning for Molecular Property Prediction. - Xiang Zhuang; Qiang Zhang 026; Bin Wu 025; Keyan Ding; Yin Fang; Huajun Chen (IJCAI, 2023)

Learning Invariant Molecular Representation in Latent Discrete Space. - Xiang Zhuang; Qiang Zhang 026; Keyan Ding; Yatao Bian; Xiao Wang 014; Jingsong Lv; Hongyang Chen; Huajun Chen (NeurIPS, 2023)

Enhancing Cross Text-Molecule Learning by Self-Augmentation. - Yinuo Jiang; Xiang Zhuang; Keyan Ding; Qiang Zhang 026; Huajun Chen (ACL (Findings), 2024)

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. - Zeyuan Wang; Qiang Zhang 026; Keyan Ding; Ming Qin; Xiang Zhuang; Xiaotong Li; Huajun Chen (ACL (1), 2024)

ProTeM: Unifying Protein Function Prediction via Text Matching. - Ming Qin; Xun Li; Yuhao Wang; Zhenping Li; Hongbin Ye; Zongbing Wang; Weihao Gao; Shangsong Liang; Qiang Zhang 026; Keyan Ding (ICANN (8), 2024)

Generating Multiple Choice Questions from Scientific Literature via Large Language Models. - Shunyang Luo; Yuqi Tang; Mingyuan Jiang; Kehua Feng; Qiang Zhang 026; Keyan Ding (ICKG, 2024)

MedIE-Instruct: A Comprehensive Instruction Dataset for Medical Information Extraction. - Zhuoyi Xiang; Xinda Wang 005; Xiaodong Yan; Deng Zhao; Keyan Ding; Qiang Zhang 026 (ICKG, 2024)

Knowledge-aware Reinforced Language Models for Protein Directed Evolution. - Yuhao Wang; Qiang Zhang 026; Ming Qin; Xiang Zhuang; Xiaotong Li; Zhichen Gong; Zeyuan Wang; Yu Zhao 009; Jianhua Yao 001; Keyan Ding; Huajun Chen (ICML, 2024)

DePLM: Denoising Protein Language Models for Property Optimization. - Zeyuan Wang; Keyan Ding; Ming Qin; Xiaotong Li; Xiang Zhuang; Yu Zhao 009; Jianhua Yao 001; Qiang Zhang 026; Huajun Chen (NeurIPS, 2024)

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition. - Kehua Feng; Keyan Ding; Kede Ma; Zhihua Wang 002; Qiang Zhang 026; Huajun Chen (CoRR, 2024)

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. - Kehua Feng; Keyan Ding; Weijie Wang; Xiang Zhuang; Zeyuan Wang; Ming Qin; Yu Zhao 009; Jianhua Yao 001; Qiang Zhang 026; Huajun Chen (CoRR, 2024)

SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks. - Tianhao Li; Jingyu Lu; Chuangxin Chu; Tianyu Zeng; Yujia Zheng; Mei Li; Haotian Huang; Bin Wu 025; Zuoxian Liu; Kai Ma; Xuejing Yuan; Xingkai Wang; et al. (CoRR, 2024)

InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions. - Xiang Zhuang; Keyan Ding; Tianwen Lyu; Yinuo Jiang; Xiaotong Li; Zhuoyi Xiang; Zeyuan Wang; Ming Qin; Kehua Feng; Jike Wang; Qiang Zhang 026; Huajun Chen (CoRR, 2024)

Adaptive Structure and Texture Similarity Metric for Image Quality Assessment and Optimization. - Keyan Ding; Rijin Zhong; Zhihua Wang 002; Yang Yu 014; Yuming Fang (IEEE Trans. Multim., 2024)

Opinion-Unaware Blind Image Quality Assessment Using Multi-Scale Deep Feature Statistics. - Zhangkai Ni; Yue Liu; Keyan Ding; Wenhan Yang; Hanli Wang; Shiqi Wang 001 (IEEE Trans. Multim., 2024)

CD-iNet: Deep Invertible Network for Perceptual Image Color Difference Measurement. - Zhihua Wang 002; Keshuo Xu; Keyan Ding; Qiuping Jiang; Yifan Zuo; Zhangkai Ni; Yuming Fang (Int. J. Comput. Vis., 2024)

Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation. - Yixuan Li; Peilin Chen 001; Hanwei Zhu; Keyan Ding; Leida Li; Shiqi Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition. - Kehua Feng; Keyan Ding; Hongzhi Tan; Kede Ma; Zhihua Wang 002; Shuangquan Guo; Yuzhou Cheng; Ge Sun; Guozhou Zheng; Qiang Zhang 026; Huajun Chen (ACL (1), 2025)

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization. - Yuhao Wang; Keyan Ding; Kehua Feng; Zeyuan Wang; Ming Qin; Xiaotong Li; Qiang Zhang 026; Huajun Chen (ACL (1), 2025)

EventRAG: Enhancing LLM Generation with Event Knowledge Graphs. - Zairun Yang; Yilin Wang; Zhengyan Shi; Yuan Yao; Lei Liang 002; Keyan Ding; Emine Yilmaz; Huajun Chen; Qiang Zhang 026 (ACL (1), 2025)

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning. - Xiang Zhuang; Bin Wu 025; Jiyu Cui; Kehua Feng; Xiaotong Li; Huabin Xing; Keyan Ding; Qiang Zhang 026; Huajun Chen (ACL (1), 2025)

SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models. - Kehua Feng; Keyan Ding; Jing Yu; Yiwen Qu; Zhiwen Chen 002; Chengfei Lv; Gang Yu; Qiang Zhang 026; Huajun Chen (ICLR, 2025)

ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization. - Kehua Feng; Keyan Ding; Jing Yu; Menghan Li; Yuhao Wang; Tong Xu; Xinda Wang 005; Qiang Zhang 026; Huajun Chen (CoRR, 2025)

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models. - Jing Yu; Yuqi Tang; Kehua Feng; Mingyang Rao; Lei Liang 002; Zhiqiang Zhang 012; Mengshu Sun; Wen Zhang 015; Qiang Zhang 026; Keyan Ding; Huajun Chen (CoRR, 2025)

OneEval: Benchmarking LLM Knowledge-intensive Reasoning over Diverse Knowledge Bases. - Yongrui Chen 002; Zhiqiang Liu; Jing Yu; Lin Ren; Nan Hu; Xinbang Dai; Jiajun Liu; Jiazhen Kang; Shenyu Zhang; Xinda Wang 005; Keyan Ding; Pengfei Shen; et al. (CoRR, 2025)

KEPLA: A Knowledge-Enhanced Deep Learning Framework for Accurate Protein-Ligand Binding Affinity Prediction. - Han Liu; Keyan Ding; Peilin Chen 001; Yinwei Wei; Liqiang Nie; Dapeng Wu 001; Shiqi Wang 001 (CoRR, 2025)

Scientific Large Language Models: A Survey on Biological & Chemical Domains. - Qiang Zhang 026; Keyan Ding; Tianwen Lv; Xinda Wang 005; Qingyu Yin; Yiwen Zhang; Jing Yu; Yuhao Wang; Xiaotong Li; Zhuoyi Xiang; Xiang Zhuang; Zeyuan Wang; et al. (ACM Comput. Surv., 2025)

SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration. - Keyan Ding; Jing Yu; Junjie Huang; Yuchen Yang; Qiang Zhang 026; Huajun Chen (CoRR, 2025)

Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges. - Yuqi Tang; Kehua Feng; Yunfeng Wang; Zhiwen Chen 002; Chengfei Lv; Gang Yu; Qiang Zhang 026; Keyan Ding (CoRR, 2025)