Keyan Ding

According to our database, Keyan Ding authored at least 41 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges.

Yuqi Tang, Kehua Feng, Yunfeng Wang, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Keyan Ding

CoRR, August, 2025

SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration.

Keyan Ding, Jing Yu, Junjie Huang, Yuchen Yang, Qiang Zhang, Huajun Chen

CoRR, July, 2025

Scientific Large Language Models: A Survey on Biological & Chemical Domains.

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

ACM Comput. Surv., June, 2025

KEPLA: A Knowledge-Enhanced Deep Learning Framework for Accurate Protein-Ligand Binding Affinity Prediction.

Han Liu, Keyan Ding, Peilin Chen, Yinwei Wei, Liqiang Nie, Dapeng Wu, Shiqi Wang

CoRR, June, 2025

OneEval: Benchmarking LLM Knowledge-intensive Reasoning over Diverse Knowledge Bases.

Yongrui Chen, Zhiqiang Liu, Jing Yu, Lin Ren, Nan Hu, Xinbang Dai, Jiajun Liu, Jiazhen Kang, Shenyu Zhang, Xinda Wang, Keyan Ding, Pengfei Shen, Haolei Zhu, Hongjie Deng, Yisong Wang, Tongtong Wu, Sheng Bi, Wen Zhang, Tianxing Wu, Qiu Ji, Haofen Wang, Wenliang Chen, Huajun Chen, Guilin Qi

CoRR, June, 2025

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models.

Jing Yu, Yuqi Tang, Kehua Feng, Mingyang Rao, Lei Liang, Zhiqiang Zhang, Mengshu Sun, Wen Zhang, Qiang Zhang, Keyan Ding, Huajun Chen

CoRR, May, 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, Qiang Zhang, Huajun Chen

CoRR, April, 2025

SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models.

Kehua Feng, Keyan Ding, Jing Yu, Yiwen Qu, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Huajun Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning.

Xiang Zhuang, Bin Wu, Jiyu Cui, Kehua Feng, Xiaotong Li, Huabin Xing, Keyan Ding, Qiang Zhang, Huajun Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

EventRAG: Enhancing LLM Generation with Event Knowledge Graphs.

Zairun Yang, Yilin Wang, Zhengyan Shi, Yuan Yao, Lei Liang, Keyan Ding, Emine Yilmaz, Huajun Chen, Qiang Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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, Huajun Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition.

Kehua Feng, Keyan Ding, Hongzhi Tan, Kede Ma, Zhihua Wang, Shuangquan Guo, Yuzhou Cheng, Ge Sun, Guozhou Zheng, Qiang Zhang, Huajun Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation.

Yixuan Li, Peilin Chen, Hanwei Zhu, Keyan Ding, Leida Li, Shiqi Wang

ACM Trans. Multim. Comput. Commun. Appl., December, 2024

CD-iNet: Deep Invertible Network for Perceptual Image Color Difference Measurement.

Zhihua Wang, Keshuo Xu, Keyan Ding, Qiuping Jiang, Yifan Zuo, Zhangkai Ni, Yuming Fang

Int. J. Comput. Vis., December, 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

IEEE Trans. Multim., 2024

Adaptive Structure and Texture Similarity Metric for Image Quality Assessment and Optimization.

Keyan Ding, Rijin Zhong, Zhihua Wang, Yang Yu, Yuming Fang

IEEE Trans. Multim., 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, 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, Zuoxian Liu, Kai Ma, Xuejing Yuan, Xingkai Wang, Keyan Ding, Huajun Chen, Qiang Zhang

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, Jianhua Yao, Qiang Zhang, Huajun Chen

CoRR, 2024

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition.

Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen

CoRR, 2024

DePLM: Denoising Protein Language Models for Property Optimization.

Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Knowledge-aware Reinforced Language Models for Protein Directed Evolution.

Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MedIE-Instruct: A Comprehensive Instruction Dataset for Medical Information Extraction.

Zhuoyi Xiang, Xinda Wang, Xiaodong Yan, Deng Zhao, Keyan Ding, Qiang Zhang

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Generating Multiple Choice Questions from Scientific Literature via Large Language Models.

Shunyang Luo, Yuqi Tang, Mingyuan Jiang, Kehua Feng, Qiang Zhang, Keyan Ding

Proceedings of the IEEE International Conference on Knowledge Graph, 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, Keyan Ding

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction.

Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Enhancing Cross Text-Molecule Learning by Self-Augmentation.

Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Learning Invariant Molecular Representation in Latent Discrete Space.

Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.

Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution.

Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Image Quality Assessment: Unifying Structure and Texture Similarity.

Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems.

Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli

Int. J. Comput. Vis., 2021

Locally Adaptive Structure and Texture Similarity for Image Quality Assessment.

Keyan Ding, Yi Liu, Xueyi Zou, Shiqi Wang, Kede Ma

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Comparison of Image Quality Models for Optimization of Image Processing Systems.

Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli

CoRR, 2020

2019

Behavior-induced health condition monitoring of caged chickens using binocular vision.

Linfang Xiao, Keyan Ding, Yingwang Gao, Xiuqin Rao

Comput. Electron. Agric., 2019

Social Media Popularity Prediction: A Multiple Feature Fusion Approach with Deep Neural Networks.

Keyan Ding, Ronggang Wang, Shiqi Wang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Intrinsic Image Popularity Assessment.

Keyan Ding, Kede Ma, Shiqi Wang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Active contours driven by local pre-fitting energy for fast image segmentation.

Keyan Ding, Linfang Xiao, Guirong Weng

Pattern Recognit. Lett., 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

A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy.

Keyan Ding

CoRR, 2018

2017

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