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ORCIDYaran Chen
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2020 – today
- 2025
[j16]Nannan Li, Yaran Chen
, Dongbin Zhao:
Adaptive search for broad attention based vision transformers. Neurocomputing 611: 128696 (2025)- 2024
- [j15]Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao:
Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. IEEE Trans. Artif. Intell. 5(9): 4364-4375 (2024) - [j14]Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie:
BViT: Broad Attention-Based Vision Transformer. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12772-12783 (2024) - [c20]Yuanwen Chen, Xinyao Zhang, Yaran Chen, Dongbin Zhao, Yunzhen Zhao, Zhe Zhao, Pengfei Hu:
Common Sense Language-Guided Exploration and Hierarchical Dense Perception for Instruction Following Embodied Agents. ICME 2024: 1-6 - [c19]Yu Han, Yaran Chen, Haoran Li, Yunzhen Zhao, Zhe Zhao, Pengfei Hu:
ATV3D: 3D Object Detection from Attention-based Three-view Representation. IJCNN 2024: 1-8 - [i21]Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang:
Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. CoRR abs/2403.09971 (2024) - [i20]Xin Liu, Yaran Chen, Dongbin Zhao:
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. CoRR abs/2405.11740 (2024) - [i19]Yupeng Zheng, Zebin Xing, Qichao Zhang, Bu Jin, Pengfei Li, Yuhang Zheng, Zhongpu Xia, Kun Zhan, Xianpeng Lang, Yaran Chen, Dongbin Zhao:
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. CoRR abs/2406.01587 (2024) - 2023
- [j13]Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao:
ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. IEEE Trans. Cogn. Dev. Syst. 15(3): 1560-1573 (2023) - [j12]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen:
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5679-5690 (2023) - [c18]Nannan Li, Yaran Chen, Dongbin Zhao:
Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. IJCNN 2023: 1-8 - [i18]Haoran Li, Shasha Liu, Mingjun Ma, Guangzheng Hu, Yaran Chen, Dongbin Zhao:
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning. CoRR abs/2302.03385 (2023) - [i17]Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao:
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning. CoRR abs/2302.05614 (2023) - [i16]Yaran Chen, Xueyu Chen, Yu Han, Haoran Li, Dongbin Zhao, Jingzhong Li, Xu Wang:
Multi-modal Learning based Prediction for Disease. CoRR abs/2307.09823 (2023) - [i15]Xin Liu, Yaran Chen, Dongbin Zhao:
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery. CoRR abs/2309.17203 (2023) - [i14]Yaran Chen, Wenbo Cui, Yuanwen Chen, Mining Tan, Xinyao Zhang, Dongbin Zhao, He Wang:
RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks. CoRR abs/2311.15649 (2023) - 2022
- [j11]Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao:
BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE Trans. Cybern. 52(9): 8617-8628 (2022) - [j10]Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao:
ModuleNet: Knowledge-Inherited Neural Architecture Search. IEEE Trans. Cybern. 52(11): 11661-11671 (2022) - [j9]Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao:
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss. IEEE Trans. Neural Networks Learn. Syst. 33(2): 762-773 (2022) - [j8]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, C. L. Philip Chen:
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE Trans. Neural Networks Learn. Syst. 33(9): 5004-5018 (2022) - [j7]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6259-6272 (2022) - [c17]Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao:
Neurons Perception Dataset for RoboMaster AI Challenge. IJCNN 2022: 1-8 - [i13]Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao:
BViT: Broad Attention based Vision Transformer. CoRR abs/2202.06268 (2022) - 2021
- [j6]Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li:
MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. Neurocomputing 421: 140-150 (2021) - [j5]Yi Lu, Yaran Chen, Dongbin Zhao, Bao Liu, Zhichao Lai, Jianxin Chen:
CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. IEEE Trans. Cogn. Dev. Syst. 13(3): 631-644 (2021) - [c16]Zhisong Zhang, Yaran Chen, Haoran Li, Qichao Zhang:
IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. IJCNN 2021: 1-8 - [i12]Haoran Li, Zicheng Duan, Mingjun Ma, Yaran Chen, Jiaqi Li, Dongbin Zhao:
MVM3Det: A Novel Method for Multi-view Monocular 3D Detection. CoRR abs/2109.10473 (2021) - [i11]Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao:
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. CoRR abs/2110.03858 (2021) - [i10]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. CoRR abs/2111.07722 (2021) - 2020
- [j4]Xiaodong Zhao, Yaran Chen, Jin Guo, Dongbin Zhao:
A spatial-temporal attention model for human trajectory prediction. IEEE CAA J. Autom. Sinica 7(4): 965-974 (2020) - [c15]Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao:
Shift-Invariant Convolutional Network Search. IJCNN 2020: 1-7 - [c14]Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen:
RailNet: An Information Aggregation Network for Rail Track Segmentation. IJCNN 2020: 1-7 - [c13]Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang:
ContourRend: A Segmentation Method for Improving Contours by Rendering. ISNN 2020: 251-260 - [c12]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. SSCI 2020: 1478-1484 - [i9]Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen:
Graph-FCN for image semantic segmentation. CoRR abs/2001.00335 (2020) - [i8]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen:
Efficient Neural Architecture Search: A Broad Version. CoRR abs/2001.06679 (2020) - [i7]Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao:
ModuleNet: Knowledge-inherited Neural Architecture Search. CoRR abs/2004.05020 (2020) - [i6]Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao:
BiFNet: Bidirectional Fusion Network for Road Segmentation. CoRR abs/2004.08582 (2020) - [i5]Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang:
ContourRend: A Segmentation Method for Improving Contours by Rendering. CoRR abs/2007.07437 (2020) - [i4]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. CoRR abs/2009.08886 (2020) - [i3]Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu:
Heuristic Rank Selection with Progressively Searching Tensor Ring Network. CoRR abs/2009.10580 (2020)
2010 – 2019
- 2019
- [j3]Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. IEEE Comput. Intell. Mag. 14(2): 83-98 (2019) - [c11]Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. IJCNN 2019: 1-6 - [c10]Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen:
Graph-FCN for Image Semantic Segmentation. ISNN (1) 2019: 97-105 - [c9]Yaran Chen, Dongbin Zhao, Haoran Li:
Deep Kalman Filter with Optical Flow for Multiple Object Tracking. SMC 2019: 3036-3041 - [c8]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Simplified Space Based Neural Architecture Search. SSCI 2019: 43-49 - [i2]Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. CoRR abs/1904.00231 (2019) - 2018
- [j2]Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang:
Multi-task learning for dangerous object detection in autonomous driving. Inf. Sci. 432: 559-571 (2018) - [c7]Haoran Li, Dongbin Zhao, Yaran Chen, Qichao Zhang:
An Efficient Network for Lane Segmentation. ICCSIP (1) 2018: 177-185 - [c6]Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo:
A temporal-based deep learning method for multiple objects detection in autonomous driving. IJCNN 2018: 1-6 - [c5]Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang:
DeepSign: Deep Learning based Traffic Sign Recognition. IJCNN 2018: 1-6 - [i1]Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. CoRR abs/1810.12778 (2018) - 2017
- [j1]Dongbin Zhao, Yaran Chen, Le Lv:
Deep Reinforcement Learning With Visual Attention for Vehicle Classification. IEEE Trans. Cogn. Dev. Syst. 9(4): 356-367 (2017) - [c4]Yaran Chen, Dongbin Zhao:
Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection. ISNN (1) 2017: 28-35 - 2016
- [c3]Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang:
Convolutional fitted Q iteration for vision-based control problems. IJCNN 2016: 4539-4544 - 2014
- [c2]Yaran Chen, Shu Lin, Gang Xiong, Qing-Jie Kong, Fenghua Zhu:
A computational experiment method in ACP framework for complex urban traffic networks. ITSC 2014: 2894-2899 - [c1]Yaran Chen, Xiwei Liu, Yuan Liu, Xiuqing Shang, Gang Xiong:
An order schedule method in mass customization for cell phone. SOLI 2014: 388-393
Coauthor Index
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last updated on 2024-11-07 21:29 CET by the dblp team
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