A computational experiment method in ACP framework for complex urban traffic networks. - Yaran Chen; Shu Lin 002; Gang Xiong 001; Qing-Jie Kong; Fenghua Zhu (ITSC, 2014)

An order schedule method in mass customization for cell phone. - Yaran Chen; Xiwei Liu; Yuan Liu; Xiuqing Shang; Gang Xiong 001 (SOLI, 2014)

Convolutional fitted Q iteration for vision-based control problems. - Dongbin Zhao; Yuanheng Zhu; Le Lv; Yaran Chen; Qichao Zhang (IJCNN, 2016)

Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection. - Yaran Chen; Dongbin Zhao (ISNN (1), 2017)

Deep Reinforcement Learning With Visual Attention for Vehicle Classification. - Dongbin Zhao; Yaran Chen; Le Lv (IEEE Trans. Cogn. Dev. Syst., 2017)

An Efficient Network for Lane Segmentation. - Haoran Li 010; Dongbin Zhao; Yaran Chen; Qichao Zhang (ICCSIP (1), 2018)

A temporal-based deep learning method for multiple objects detection in autonomous driving. - Yaran Chen; Dongbin Zhao; Haoran Li 010; Dong Li 016; Ping Guo 002 (IJCNN, 2018)

DeepSign: Deep Learning based Traffic Sign Recognition. - Dong Li 016; Dongbin Zhao; Yaran Chen; Qichao Zhang (IJCNN, 2018)

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yaran Chen (CoRR, 2018)

Multi-task learning for dangerous object detection in autonomous driving. - Yaran Chen; Dongbin Zhao; Le Lv; Qichao Zhang (Inf. Sci., 2018)

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. - Junjie Wang; Qichao Zhang; Dongbin Zhao; Yaran Chen (IJCNN, 2019)

Graph-FCN for Image Semantic Segmentation. - Yi Lu; Yaran Chen; Dongbin Zhao; Jianxin Chen (ISNN (1), 2019)

Deep Kalman Filter with Optical Flow for Multiple Object Tracking. - Yaran Chen; Dongbin Zhao; Haoran Li 010 (SMC, 2019)

Simplified Space Based Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (SSCI, 2019)

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yaran Chen (IEEE Comput. Intell. Mag., 2019)

Shift-Invariant Convolutional Network Search. - Nannan Li 003; Yaran Chen; Zixiang Ding; Dongbin Zhao (IJCNN, 2020)

RailNet: An Information Aggregation Network for Rail Track Segmentation. - Haoran Li 010; Qichao Zhang; Dongbin Zhao; Yaran Chen (IJCNN, 2020)

ContourRend: A Segmentation Method for Improving Contours by Rendering. - Junwen Chen; Yi Lu; Yaran Chen; Dongbin Zhao; Zhonghua Pang (ISNN, 2020)

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (SSCI, 2020)

Efficient Neural Architecture Search: A Broad Version. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; C. L. Philip Chen (CoRR, 2020)

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (CoRR, 2020)

Heuristic Rank Selection with Progressively Searching Tensor Ring Network. - Nannan Li 003; Yu Pan 005; Yaran Chen; Zixiang Ding; Dongbin Zhao; Zenglin Xu (CoRR, 2020)

A spatial-temporal attention model for human trajectory prediction. - Xiaodong Zhao; Yaran Chen; Jin Guo 003; Dongbin Zhao (IEEE CAA J. Autom. Sinica, 2020)

IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. - Zhisong Zhang; Yaran Chen; Haoran Li 010; Qichao Zhang (IJCNN, 2021)

MVM3Det: A Novel Method for Multi-view Monocular 3D Detection. - Haoran Li 010; Zicheng Duan; Mingjun Ma; Yaran Chen; Jiaqi Li; Dongbin Zhao (CoRR, 2021)

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. - Jiaqi Li; Haoran Li 010; Yaran Chen; Zixiang Ding; Nannan Li 003; Mingjun Ma; Zicheng Duan; Dongbin Zhao (CoRR, 2021)

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (CoRR, 2021)

MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. - Yi Lu; Yaran Chen; Dongbin Zhao; Dong Li 016 (Neurocomputing, 2021)

CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. - Yi Lu; Yaran Chen; Dongbin Zhao; Bao Liu; Zhichao Lai; Jianxin Chen (IEEE Trans. Cogn. Dev. Syst., 2021)

Neurons Perception Dataset for RoboMaster AI Challenge. - Haoran Li 010; Zicheng Duan; Jiaqi Li; Mingjun Ma; Yaran Chen; Dongbin Zhao (IJCNN, 2022)

BViT: Broad Attention based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao (CoRR, 2022)

ModuleNet: Knowledge-Inherited Neural Architecture Search. - Yaran Chen; Ruiyuan Gao 001; Fenggang Liu; Dongbin Zhao (IEEE Trans. Cybern., 2022)

BiFNet: Bidirectional Fusion Network for Road Segmentation. - Haoran Li 010; Yaran Chen; Qichao Zhang; Dongbin Zhao (IEEE Trans. Cybern., 2022)

Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss. - Yaran Chen; Haoran Li 010; Ruiyuan Gao 001; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2022)

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; Zhiquan Sun; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. - Nannan Li 003; Yaran Chen; Dongbin Zhao (IJCNN, 2023)

NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning. - Haoran Li 010; Shasha Liu; Mingjun Ma; Guangzheng Hu; Yaran Chen; Dongbin Zhao (CoRR, 2023)

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning. - Xin Liu 039; Yaran Chen; Haoran Li 010; Boyu Li 003; Dongbin Zhao (CoRR, 2023)

Multi-modal Learning based Prediction for Disease. - Yaran Chen; Xueyu Chen; Yu Han; Haoran Li 010; Dongbin Zhao; Jingzhong Li; Xu Wang (CoRR, 2023)

ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery. - Xin Liu 039; Yaran Chen; Dongbin Zhao (CoRR, 2023)

RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks. - Yaran Chen; Wenbo Cui; Yuanwen Chen; Mining Tan; Xinyao Zhang; Dongbin Zhao; He Wang 010 (CoRR, 2023)

ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. - Jiaqi Li; Haoran Li 010; Yaran Chen; Zixiang Ding; Nannan Li 003; Mingjun Ma; Zicheng Duan; Dongbin Zhao (IEEE Trans. Cogn. Dev. Syst., 2023)

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; C. L. Philip Chen (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Common Sense Language-Guided Exploration and Hierarchical Dense Perception for Instruction Following Embodied Agents. - Yuanwen Chen; Xinyao Zhang; Yaran Chen; Dongbin Zhao; Yunzhen Zhao; Zhe Zhao; Pengfei Hu 004 (ICME, 2024)

ATV3D: 3D Object Detection from Attention-based Three-view Representation. - Yu Han; Yaran Chen; Haoran Li 010; Yunzhen Zhao; Zhe Zhao; Pengfei Hu 004 (IJCNN, 2024)

Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. - Mengying Lin; Yaran Chen; Dongbin Zhao; Zhaoran Wang 001 (CoRR, 2024)

Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. - Xin Liu 039; Yaran Chen; Dongbin Zhao (CoRR, 2024)

PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. - Yupeng Zheng; Zebin Xing; Qichao Zhang; Bu Jin; Pengfei Li 007; Yuhang Zheng; Zhongpu Xia; Kun Zhan; Xianpeng Lang; Yaran Chen; Dongbin Zhao (CoRR, 2024)

GAPartManip: A Large-scale Part-centric Dataset for Material-Agnostic Articulated Object Manipulation. - Wenbo Cui; Chengyang Zhao; Songlin Wei; Jiazhao Zhang; Haoran Geng; Yaran Chen; He Wang 010 (CoRR, 2024)

Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos. - Xin Liu 039; Yaran Chen (CoRR, 2024)

Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. - Minsong Liu; Yuanheng Zhu; Yaran Chen; Dongbin Zhao (IEEE Trans. Artif. Intell., 2024)

BViT: Broad Attention-Based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao; Shuai Nie (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. - Jingbo Sun; Songjun Tu; Qichao Zhang; Haoran Li 010; Xin Liu 039; Yaran Chen; Ke Chen; Dongbin Zhao (ICLR, 2025)

Adaptive search for broad attention based vision transformers. - Nannan Li 003; Yaran Chen; Dongbin Zhao (Neurocomputing, 2025)

Robotic Sim-to-Real Transfer for Long-Horizon Pick-and-Place Tasks in the Robotic Sim2Real Competition. - Ming Yang; Hongyu Cao; Lixuan Zhao; Chenrui Zhang; Yaran Chen (CoRR, 2025)

Balancing State Exploration and Skill Diversity in Unsupervised Skill Discovery. - Xin Liu 039; Yaran Chen; Guixing Chen; Haoran Li 010; Dongbin Zhao (IEEE Trans. Cybern., 2025)

Cross-Domain Random Pretraining With Prototypes for Reinforcement Learning. - Xin Liu 039; Yaran Chen; Haoran Li 010; Boyu Li 003; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2025)

NeuronsGym: A Hybrid Framework and Benchmark for Robot Navigation With Sim2Real Policy Learning. - Haoran Li 010; Guangzheng Hu; Shasha Liu; Mingjun Ma; Yaran Chen; Dongbin Zhao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)