Runkai Zhao

According to our database, Runkai Zhao authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He

CoRR, August, 2025

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model.

Rui Yu, Xianghang Zhang, Runkai Zhao, Huaicheng Yan, Meng Wang

CoRR, August, 2025

Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness.

Yu Feng, Dingxin Zhang, Runkai Zhao, Yong Xia, Heng Huang, Tom Weidong Cai

CoRR, March, 2025

CA-W3D: Leveraging Context-Aware Knowledge for Weakly Supervised Monocular 3D Detection.

Chupeng Liu, Runkai Zhao, Weidong Cai

CoRR, March, 2025

Dineuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction.

Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Yui Lo, Yuqian Chen, Lauren J. O'Donnell, Weidong Cai

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation.

Rui Yu, Runkai Zhao, Jiagen Li, Qingsong Zhao, Songhao Zhu, HuaiCheng Yan, Meng Wang

CoRR, 2024

Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences.

Rui Yu, Runkai Zhao, Cong Nie, Heng Wang, HuaiCheng Yan, Meng Wang

CoRR, 2024

Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images.

Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Weidong Cai

CoRR, 2024

LaneCMKT: Boosting Monocular 3D Lane Detection with Cross-Modal Knowledge Transfer.

Runkai Zhao, Heng Wang, Weidong Cai

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development.

Runkai Zhao, Yuwen Heng, Heng Wang, Yuanda Gao, Shilei Liu, Changhao Yao, Jiawen Chen, Weidong Cai

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences.

Rui Yu, Runkai Zhao, Cong Nie, Heng Wang, Siyu Li, Songhao Zhu

Proceedings of the 35th British Machine Vision Conference, 2024

2023

PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds.

Runkai Zhao, Heng Wang, Chaoyi Zhang, Weidong Cai

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023