From Virtuality To Reality: A Learning-based Point Cloud Labeling Method With Synthesis Scene. - Runjian Chen; Li Tang 006; Xiaqing Ding; Yue Wang 020; Rong Xiong (ROBIO, 2019)

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. - Haoyan Xu; Runjian Chen; Yunsheng Bai; Jie Feng 006; Ziheng Duan; Ke Luo; Yizhou Sun; Wei Wang 010 (CoRR, 2020)

Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation. - Haoyan Xu; Ziheng Duan; Jie Feng 006; Runjian Chen; Yida Huang; Yueyang Wang (CoRR, 2020)

A Samplable Multimodal Observation Model for Global Localization and Kidnapping. - Runjian Chen; Yue Wang 020; Huan Yin; Yanmei Jiao; Gamini Dissanayake; Rong Xiong (CoRR, 2020)

Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation. - Haoyan Xu; Ziheng Duan; Yueyang Wang; Jie Feng 006; Runjian Chen; Qianru Zhang; Zhongbin Xu (Neurocomputing, 2021)

Parallel computing of fuzzy integrals: Performance and test. - Jinfeng Wang 003; ShuaiHui Huang; Fajian Jiang; Zhishen Zheng; Jianbin Ou; Hao Chen; Runjian Chen; Wenzhong Wang (J. Intell. Fuzzy Syst., 2021)

Deep Samplable Observation Model for Global Localization and Kidnapping. - Runjian Chen; Huan Yin; Yanmei Jiao; Gamini Dissanayake; Yue Wang 020; Rong Xiong (IEEE Robotics Autom. Lett., 2021)

RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs. - Zhouxia Wang; Jiawei Zhang 002; Runjian Chen; Wenping Wang 001; Ping Luo 002 (CVPR, 2022)

CycleMLP: A MLP-like Architecture for Dense Prediction. - Shoufa Chen; Enze Xie; Chongjian Ge; Runjian Chen; Ding Liang; Ping Luo 002 (ICLR, 2022)

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. - Yao Mark Mu; Shoufa Chen; Mingyu Ding; Jianyu Chen; Runjian Chen; Ping Luo 002 (ICML, 2022)

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. - Runjian Chen; Yao Mu 001; Runsen Xu; Wenqi Shao; Chenhan Jiang; Hang Xu 004; Zhenguo Li; Ping Luo 002 (CoRR, 2022)

RaLL: End-to-End Radar Localization on Lidar Map Using Differentiable Measurement Model. - Huan Yin; Runjian Chen; Yue Wang 020; Rong Xiong (IEEE Trans. Intell. Transp. Syst., 2022)

MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training. - Runsen Xu; Tai Wang; Wenwei Zhang; Runjian Chen; Jinkun Cao; Jiangmiao Pang; Dahua Lin (CVPR, 2023)

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. - Runjian Chen; Yao Mu 001; Runsen Xu; Wenqi Shao; Chenhan Jiang; Hang Xu 004; Yu Qiao 001; Zhenguo Li; Ping Luo 002 (ICLR, 2023)

Failure-aware Policy Learning for Self-assessable Robotics Tasks. - Kechun Xu; Runjian Chen; Shuqi Zhao; Zizhang Li; Hongxiang Yu; Ci Chen; Yue Wang 020; Rong Xiong (ICRA, 2023)

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving. - Xiangchao Yan; Runjian Chen; Bo Zhang 069; Jiakang Yuan; Xinyu Cai; Botian Shi; Wenqi Shao; Junchi Yan; Ping Luo 002; Yu Qiao 001 (CoRR, 2023)

CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement. - Boni Hu; Lin Chen 042; Runjian Chen; Shuhui Bu; Pengcheng Han; Haowei Li (CoRR, 2023)

CycleMLP: A MLP-Like Architecture for Dense Visual Predictions. - Shoufa Chen; Enze Xie; Chongjian Ge; Runjian Chen; Ding Liang; Ping Luo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. - Yao Mu 001; Junting Chen; Qinglong Zhang; Shoufa Chen; Qiaojun Yu; Chongjian Ge; Runjian Chen; Zhixuan Liang; Mengkang Hu; Chaofan Tao; Peize Sun; Haibao Yu; et al. (ICML, 2024)

Position: Towards Implicit Prompt For Text-To-Image Models. - Yue Yang; Yuqi Lin; Hong Liu; Wenqi Shao; Runjian Chen; Hailong Shang; Yu Wang 002; Yu Qiao 001; Kaipeng Zhang; Ping Luo 002 (ICML, 2024)

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. - Kaining Ying; Fanqing Meng; Jin Wang; Zhiqian Li; Han Lin; Yue Yang; Hao Zhang 117; Wenbo Zhang 009; Yuqi Lin; Shuo Liu; Jiayi Lei; Quanfeng Lu; et al. (ICML, 2024)

Towards Implicit Prompt For Text-To-Image Models. - Yue Yang; Yuqi Lin; Hong Liu; Wenqi Shao; Runjian Chen; Hailong Shang; Yu Wang 002; Yu Qiao 001; Kaipeng Zhang; Ping Luo 002 (CoRR, 2024)

TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception. - Runjian Chen; Hyoungseob Park; Bo Zhang 069; Wenqi Shao; Ping Luo 002; Alex Wong 001 (CoRR, 2024)

CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning. - Runjian Chen; Hang Zhang; Avinash Ravichandran; Wenqi Shao; Alex Wong 001; Ping Luo 002 (CoRR, 2024)

CurriculumLoc: Enhancing Cross-Domain Geolocalization Through Multistage Refinement. - Boni Hu; Lin Chen 042; Runjian Chen; Shuhui Bu; Pengcheng Han; Haowei Li (IEEE Trans. Geosci. Remote. Sens., 2024)

JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data. - Runjian Chen; Wenqi Shao; Bo Zhang 069; Shaoshuai Shi; Li Jiang; Ping Luo 002 (CVPR, 2025)

Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation. - Ziliang Miao; Runjian Chen; Yixi Cai; Buwei He; Wenquan Zhao; Wenqi Shao; Bo Zhang 069; Fu Zhang 002 (CoRR, 2025)

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models. - Xuanchi Ren; Yifan Lu; Tianshi Cao; Ruiyuan Gao 003; Shengyu Huang; Amirmojtaba Sabour; Tianchang Shen; Tobias Pfaff; Jay Zhangjie Wu; Runjian Chen; Seung Wook Kim 001; Jun Gao 004; et al. (CoRR, 2025)