Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting. - Runnan Chen; Yuexin Ma; Nenglun Chen; Daniel Lee; Wenping Wang 001 (MICCAI (3), 2019)

Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting. - Runnan Chen; Yuexin Ma; Nenglun Chen; Daniel Lee; Wenping Wang 001 (CoRR, 2019)

Unsupervised Learning of Intrinsic Structural Representation Points. - Nenglun Chen; Lingjie Liu; Zhiming Cui; Runnan Chen; Duygu Ceylan; Changhe Tu; Wenping Wang 001 (CVPR, 2020)

TANet: Towards Fully Automatic Tooth Arrangement. - Guodong Wei; Zhiming Cui; Yumeng Liu; Nenglun Chen; Runnan Chen; Guiqing Li; Wenping Wang 001 (ECCV (15), 2020)

PR-Net: Preference Reasoning for Personalized Video Highlight Detection. - Runnan Chen; Penghao Zhou; Wenzhe Wang; Nenglun Chen; Pai Peng; Xing Sun 001; Wenping Wang 001 (ICCV, 2021)

Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment. - Wenzhe Wang; Mengdan Zhang; Runnan Chen; Guanyu Cai; Penghao Zhou; Pai Peng; Xiaowei Guo; Jian Wu; Xing Sun 001 (IJCAI, 2021)

Distributed Attention for Grounded Image Captioning. - Nenglun Chen; Xingjia Pan; Runnan Chen; Lei Yang 048; Zhiwen Lin; Yuqiang Ren; Haolei Yuan; Xiaowei Guo; Feiyue Huang; Wenping Wang 001 (ACM Multimedia, 2021)

TSegNet: An efficient and accurate tooth segmentation network on 3D dental model. - Zhiming Cui; Changjian Li 001; Nenglun Chen; Guodong Wei; Runnan Chen; Yuanfeng Zhou; Dinggang Shen; Wenping Wang 001 (Medical Image Anal., 2021)

Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation. - Zhiming Cui; Changjian Li 001; Zhixu Du; Nenglun Chen; Guodong Wei; Runnan Chen; Lei Yang 048; Dinggang Shen; Wenping Wang 001 (IEEE Trans. Medical Imaging, 2021)

Towards 3D Scene Understanding by Referring Synthetic Models. - Runnan Chen; Xinge Zhu; Nenglun Chen; Dawei Wang 006; Wei Li 111; Yuexin Ma; Ruigang Yang; Wenping Wang 001 (CoRR, 2022)

Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives. - Runnan Chen; Xinge Zhu; Nenglun Chen; Wei Li 111; Yuexin Ma; Ruigang Yang; Wenping Wang 001 (CoRR, 2022)

Semi-supervised anatomical landmark detection via shape-regulated self-training. - Runnan Chen; Yuexin Ma; Lingjie Liu; Nenglun Chen; Zhiming Cui; Guodong Wei; Wenping Wang 001 (Neurocomputing, 2022)

Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection. - Runnan Chen; Yuexin Ma; Nenglun Chen; Lingjie Liu; Zhiming Cui; Yanhong Lin; Wenping Wang 001 (IEEE Trans. Medical Imaging, 2022)

CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. - Runnan Chen; Youquan Liu; Lingdong Kong; Xinge Zhu; Yuexin Ma; Yikang Li 002; Yuenan Hou; Yu Qiao 001; Wenping Wang 001 (CVPR, 2023)

Rethinking Range View Representation for LiDAR Segmentation. - Lingdong Kong; Youquan Liu; Runnan Chen; Yuexin Ma; Xinge Zhu; Yikang Li 002; Yuenan Hou; Yu Qiao 001; Ziwei Liu 002 (ICCV, 2023)

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions. - Lingdong Kong; Youquan Liu; Xin Li 110; Runnan Chen; Wenwei Zhang; Jiawei Ren 001; Liang Pan; Kai Chen 026; Ziwei Liu 002 (ICCV, 2023)

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. - Youquan Liu; Runnan Chen; Xin Li 110; Lingdong Kong; Yuchen Yang 003; Zhaoyang Xia; Yeqi Bai; Xinge Zhu; Yuexin Ma; Yikang Li 002; Yu Qiao 001; Yuenan Hou (ICCV, 2023)

See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data. - Yuhang Lu; Qi Jiang; Runnan Chen; Yuenan Hou; Xinge Zhu; Yuexin Ma (ICCV, 2023)

Human-centric Scene Understanding for 3D Large-scale Scenarios. - Yiteng Xu; Peishan Cong; Yichen Yao; Runnan Chen; Yuenan Hou; Xinge Zhu; Xuming He 001; Jingyi Yu; Yuexin Ma (ICCV, 2023)

Bridging Language and Geometric Primitives for Zero-shot Point Cloud Segmentation. - Runnan Chen; Xinge Zhu; Nenglun Chen; Wei Li 111; Yuexin Ma; Ruigang Yang; Wenping Wang 001 (ACM Multimedia, 2023)

A Probabilistic Guide for Domestic Stocks Delisting Risk from the Nature of Bayesian Matrix. - Runnan Chen; Lei Zhang (MMBD, 2023)

Towards Label-free Scene Understanding by Vision Foundation Models. - Runnan Chen; Youquan Liu; Lingdong Kong; Nenglun Chen; Xinge Zhu; Yuexin Ma; Tongliang Liu; Wenping Wang 001 (NeurIPS, 2023)

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models. - Youquan Liu; Lingdong Kong; Jun Cen; Runnan Chen; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002 (NeurIPS, 2023)

Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization. - Hanqi Jiang; Cheng Zeng; Runnan Chen; Shuai Liang; Yinhe Han 001; Yichao Gao; Conglin Wang (CoRR, 2023)

Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training. - Runnan Chen; Xinge Zhu; Nenglun Chen; Dawei Wang 006; Wei Li 111; Yuexin Ma; Ruigang Yang; Tongliang Liu; Wenping Wang 001 (CoRR, 2023)

SAM-guided Unsupervised Domain Adaptation for 3D Segmentation. - Xidong Peng; Runnan Chen; Feng Qiao; Lingdong Kong; Youquan Liu; Tai Wang; Xinge Zhu; Yuexin Ma (CoRR, 2023)

Multi-Space Alignments Towards Universal LiDAR Segmentation. - Youquan Liu; Lingdong Kong; Xiaoyang Wu 002; Runnan Chen; Xin Li 110; Liang Pan; Ziwei Liu 002; Yuexin Ma (CVPR, 2024)

CORES: Convolutional Response-based Score for Out-of-distribution Detection. - Keke Tang; Chao Hou; Weilong Peng; Runnan Chen; Peican Zhu; Wenping Wang 001; Zhihong Tian (CVPR, 2024)

HUNTER: Unsupervised Human-Centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes. - Yichen Yao; Zimo Jiang; Yujing Sun 001; Zhencai Zhu; Xinge Zhu; Runnan Chen; Yuexin Ma (CVPR, 2024)

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection. - Junbo Yin; Jianbing Shen; Runnan Chen; Wei Li 111; Ruigang Yang; Pascal Frossard; Wenguan Wang (CVPR, 2024)

Learning to Adapt SAM for Segmenting Cross-Domain Point Clouds. - Xidong Peng; Runnan Chen; Feng Qiao; Lingdong Kong; Youquan Liu; Yujing Sun 001; Tai Wang; Xinge Zhu; Yuexin Ma (ECCV (43), 2024)

Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization. - Siqi Wen; Hanqi Jiang; Cheng Zeng; Runnan Chen; Jidong Yuan; Shuai Liang; Yinhe Han 001 (ICIC (5), 2024)

Socratic ChatGPT: Theory, Design, and Empirical Evaluations. - Tianyi Ma; Runnan Chen; Andy Tao Li; Hefu Liu (PACIS, 2024)

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models. - Jiahao Sun; Chunmei Qing; Xiang Xu 009; Lingdong Kong; Youquan Liu; Li Li 092; Chenming Zhu; Jingwei Zhang; Zeqi Xiao; Runnan Chen; Tai Wang; Wenwei Zhang; et al. (CoRR, 2024)

Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels. - Haodong Chen; Runnan Chen; Qiang Qu; Zhaoqing Wang; Tongliang Liu; Xiaoming Chen 006; Yuk Ying Chung (CoRR, 2024)

Urban4D: Semantic-Guided 4D Gaussian Splatting for Urban Scene Reconstruction. - Ziwen Li; Jiaxin Huang; Runnan Chen; Yunlong Che; Yandong Guo; Tongliang Liu; Fakhri Karray; Mingming Gong (CoRR, 2024)

LaVin-DiT: Large Vision Diffusion Transformer. - Zhaoqing Wang; Xiaobo Xia; Runnan Chen; Dongdong Yu; Changhu Wang; Mingming Gong; Tongliang Liu (CVPR, 2025)

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies. - Runnan Chen; Xiangyu Sun; Zhaoqing Wang; Youquan Liu; Jiepeng Wang 001; Lingdong Kong; Jiankang Deng; Mingming Gong; Liang Pan; Wenping Wang 001; Tongliang Liu (CoRR, 2025)

PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM. - Runnan Chen; Zhaoqing Wang; Jiepeng Wang 001; Yuexin Ma; Mingming Gong; Wenping Wang 001; Tongliang Liu (CoRR, 2025)

LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving. - Lingdong Kong; Xiang Xu 009; Youquan Liu; Jun Cen; Runnan Chen; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002 (CoRR, 2025)

MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation. - Jiaxin Huang; Runnan Chen; Ziwen Li; Zhengqing Gao; Xiao He; Yandong Guo; Mingming Gong; Tongliang Liu (CoRR, 2025)

Intern-GS: Vision Model Guided Sparse-View 3D Gaussian Splatting. - Xiangyu Sun; Runnan Chen; Mingming Gong; Dong Xu 001; Tongliang Liu (CoRR, 2025)

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need. - Ziming Hong; Runnan Chen; Zengmao Wang; Bo Han 003; Bo Du 001; Tongliang Liu (CoRR, 2025)

SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes. - Jiaxin Huang; Ziwen Li; Hanlve Zhang; Runnan Chen; Xiao He; Yandong Guo; Wenping Wang 001; Tongliang Liu; Mingming Gong (CoRR, 2025)

Veila: Panoramic LiDAR Generation from a Monocular RGB Image. - Youquan Liu; Lingdong Kong; Weidong Yang 001; Ao Liang; Jianxiong Gao; Yang Wu; Xiang Xu 009; Xin Li 110; Linfeng Li; Runnan Chen; Ben Fei (CoRR, 2025)

La La LiDAR: Large-Scale Layout Generation from LiDAR Data. - Youquan Liu; Lingdong Kong; Weidong Yang 001; Xin Li 110; Ao Liang; Runnan Chen; Ben Fei; Tongliang Liu (CoRR, 2025)