Ding, Keyan

6 publications

NeurIPS 2025 HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts Yinuo Jiang, Yan Xiaodong, Keyan Ding, Deng Zhao, Lei Liang, Qiang Zhang, Huajun Chen

ICLR 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

NeurIPS 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

ICML 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

IJCAI 2023 Graph Sampling-Based Meta-Learning for Molecular Property Prediction Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen

NeurIPS 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