Kaiyuan Gao

According to our database, Kaiyuan Gao authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation.

Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu

CoRR, 2024

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan

CoRR, 2024

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan

CoRR, 2024

2023

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models.

Kaiyuan Gao, Sunan He, Zhenyu He, Jiacheng Lin, Qizhi Pei, Jie Shao, Wei Zhang

CoRR, 2023

Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs.

Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He

CoRR, 2023

FABind: Fast and Accurate Protein-Ligand Binding.

Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan

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

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design.

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs.

Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.

Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Multimobile Robot Cooperative Localization Using Ultrawideband Sensor and GPU Acceleration.

Jing Xin, Guo Xie, Bo Yan, Mao Shan, Peng Li, Kaiyuan Gao

IEEE Trans Autom. Sci. Eng., 2022

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design.

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

CoRR, 2022

NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs.

Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He

CoRR, 2022

2021

Revisiting Language Encoding in Learning Multilingual Representations.

Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu

CoRR, 2021

2020

Integrating Bi-Dynamic Routing Capsule Network with Label-Constraint for Text classification.

Xiang Guo, Youquan Wang, Kaiyuan Gao, Jie Cao, Haicheng Tao, Chaoyue Chen

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging.

Jing Xin, Kaiyuan Gao, Mao Shan, Bo Yan, Ding Liu

Sensors, 2019

2018

Surface Saliency Detection Based on Curvature Co-Occurrence Histograms.

Ning Wei, Kaiyuan Gao, Rongrong Ji, Peng Chen

IEEE Access, 2018

2016

Low power voltage sensing through capacitance to digital conversion.

Delong Shang, Yuqing Xu, Kaiyuan Gao, Fei Xia, Alex Yakovlev

Proceedings of the 2016 IEEE 19th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), 2016

Fast capacitance-to-digital converter with internal reference.

Kaiyuan Gao, Delong Shang, Fei Xia, Alex Yakovlev

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016