Runkai Zhao

23 papers A* 2A 3Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction.
CoRR
Xuanhua Yin, Runkai Zhao, Lina Yao, Tom Weidong Cai
2026 J jnl
Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution.
Brain Informatics
Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Wojciech Chrzanowski, Weidong Cai
2026 J jnl
NeuroSeg Meets DINOv3: Transferring 2D Self-Supervised Visual Priors to 3D Neuron Segmentation via DINOv3 Initialization.
CoRR
Yik San Cheng, Runkai Zhao, Tom Weidong Cai
2026 J jnl
SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery.
CoRR
Jiyong Rao, Yicheng Qiu, Jiahui Zhang, Juntao Deng, Shangquan Sun, Fenghua Ling, Hao Chen, Nanqing Dong, Zhangyang Gao, Siqi Sun, Yuqiang Li, Dongzhan Zhou, Guangyu Wang, Lijun Wu, Conghui He, Xuhong Wang, Jing Shao, Xiang Liu, Yu Zhu, Mianxin Liu, Qihao Zheng, Yinghui Zhang, Jiamin Wu, Xiaosong Wang, Shixiang Tang, Wenlong Zhang, Bo Zhang, Wanli Ouyang, Runkai Zhao, Chunfeng Song, Lei Bai, Chi Zhang
2026 J jnl
VirPro: Visual-referred Probabilistic Prompt Learning for Weakly-Supervised Monocular 3D Detection.
CoRR
Chupeng Liu, Jiyong Rao, Shangquan Sun, Runkai Zhao, Tom Weidong Cai
2025 J jnl
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.
CoRR
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
2025 A conf
CA-W3D: Leveraging Context-Aware Knowledge for Weakly Supervised Monocular 3D Detection.
IROS
Chupeng Liu, Runkai Zhao, Weidong Cai
2025 J jnl
CA-W3D: Leveraging Context-Aware Knowledge for Weakly Supervised Monocular 3D Detection.
CoRR
Chupeng Liu, Runkai Zhao, Weidong Cai
2025 — conf
Dineuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction.
ISBI
Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Yui Lo, Yuqian Chen, Lauren J. O'Donnell, Weidong Cai
2025 J jnl
DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model.
CoRR
Rui Yu, Xianghang Zhang, Runkai Zhao, Huaicheng Yan, Meng Wang
2025 J jnl
Improving Multimodal Brain Encoding Model with Dynamic Subject-awareness Routing.
CoRR
Xuanhua Yin, Runkai Zhao, Tom Weidong Cai
2025 J jnl
Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness.
CoRR
Yu Feng, Dingxin Zhang, Runkai Zhao, Yong Xia, Heng Huang, Tom Weidong Cai
2025 — conf
Street Depth-Aware Gaussian for Modeling Dynamic Urban Scenes.
AI (2)
Ke Xie, Runkai Zhao, Dingxin Zhang, Tom Weidong Cai
2024 A* conf
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development.
ICRA
Runkai Zhao, Yuwen Heng, Heng Wang, Yuanda Gao, Shilei Liu, Changhao Yao, Jiawen Chen, Weidong Cai
2024 J jnl
Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images.
CoRR
Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Weidong Cai
2024 J jnl
DINeuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction.
CoRR
Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Yui Lo, Yuqian Chen, Lauren J. O'Donnell, Weidong Cai
2024 A conf
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences.
BMVC
Rui Yu, Runkai Zhao, Cong Nie, Heng Wang, Siyu Li, Songhao Zhu
2024 J jnl
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences.
CoRR
Rui Yu, Runkai Zhao, Cong Nie, Heng Wang, Huaicheng Yan, Meng Wang
2024 A* conf
LaneCMKT: Boosting Monocular 3D Lane Detection with Cross-Modal Knowledge Transfer.
ACM Multimedia
Runkai Zhao, Heng Wang, Weidong Cai
2024 J jnl
Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation.
CoRR
Rui Yu, Runkai Zhao, Jiagen Li, Qingsong Zhao, Songhao Zhu, Huaicheng Yan, Meng Wang
2023 J jnl
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development.
CoRR
Runkai Zhao, Yuwen Heng, Yuanda Gao, Shilei Liu, Heng Wang, Changhao Yao, Jiawen Chen, Weidong Cai
2023 A conf
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds.
WACV
Runkai Zhao, Heng Wang, Chaoyi Zhang, Weidong Cai
2022 J jnl
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds.
CoRR
Runkai Zhao, Heng Wang, Chaoyi Zhang, Weidong Cai