Dapeng Feng

According to our database, Dapeng Feng authored at least 21 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GNIO: Gated Neural Inertial Odometry.

Dapeng Feng, Yizhen Yin, Zhiqiang Chen, Yuhua Qi, Hongbo Chen

CoRR, March, 2026

Heterogeneous LiDAR dataset for benchmarking robust localization in diverse degenerate scenarios.

Zhiqiang Chen, Yuhua Qi, Dapeng Feng, Xuebin Zhuang, Hongbo Chen, Xiangcheng Hu, Jin Wu, Kelin Peng, Peng Lu

Int. J. Robotics Res., 2026

2025

MA-SLAM: Active SLAM in Large-Scale Unknown Environment using Map Aware Deep Reinforcement Learning.

Yizhen Yin, Yuhua Qi, Dapeng Feng, Hongbo Chen, Hong-Jun Ma, Jin Wu, Yi Jiang

CoRR, November, 2025

PUL-SLAM: Path-Uncertainty Co-Optimization with Lightweight Stagnation Detection for Efficient Robotic Exploration.

Yizhen Yin, Dapeng Feng, Hongbo Chen, Yuhua Qi

CoRR, November, 2025

CaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAM.

Dapeng Feng, Zhiqiang Chen, Yizhen Yin, Shipeng Zhong, Yuhua Qi, Hongbo Chen

IEEE Robotics Autom. Lett., May, 2025

2024

S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM.

Dapeng Feng, Yuhua Qi, Shipeng Zhong, Zhiqiang Chen, Qiming Chen, Hongbo Chen, Jin Wu, Jun Ma

IEEE Robotics Autom. Lett., December, 2024

Position information encoding FPN for small object detection in aerial images.

Dapeng Feng, Xuebin Zhuang, Zhiqiang Chen, Shipeng Zhong, Yuhua Qi, Hongbo Chen, Hongjun Ma

Neural Comput. Appl., September, 2024

CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms.

Shipeng Zhong, Hongbo Chen, Yuhua Qi, Dapeng Feng, Zhiqiang Chen, Jin Wu, Weisong Wen, Ming Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RELEAD: Resilient Localization with Enhanced LiDAR Odometry in Adverse Environments.

Zhiqiang Chen, Hongbo Chen, Yuhua Qi, Shipeng Zhong, Dapeng Feng, Jin Wu, Weisong Wen, Ming Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Point-Guided Contrastive Learning for Monocular 3-D Object Detection.

Dapeng Feng, Songfang Han, Hang Xu, Xiaodan Liang, Xiaojun Tan

IEEE Trans. Cybern., 2023

Differentiable modeling to unify machine learning and physical models and advance Geosciences.

Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn P. Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson

CoRR, 2023

Automatic Large-scale Data Generation for Open-topic Biomedical Event Relation Extraction.

Beibei Zhang, Lishuang Li, Qian Yang, Dapeng Feng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

S3E: A Large-scale Multimodal Dataset for Collaborative SLAM.

Dapeng Feng, Yuhua Qi, Shipeng Zhong, Zhiqiang Chen, Yudu Jiao, Qiming Chen, Tao Jiang, Hongbo Chen

CoRR, 2022

Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy.

Dapeng Feng, Jiangtao Liu, Kathryn Lawson, Chaopeng Shen

CoRR, 2022

2021

Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges.

Wenyu Ouyang, Kathryn Lawson, Dapeng Feng, Lei Ye, Chi Zhang, Chaopeng Shen

CoRR, 2021

The data synergy effects of time-series deep learning models in hydrology.

Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng, Chaopeng Shen

CoRR, 2021

Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection.

Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling.

Dapeng Feng, Kathryn Lawson, Chaopeng Shen

CoRR, 2020

From parameter calibration to parameter learning: Revolutionizing large-scale geoscientific modeling with big data.

Wen-Ping Tsai, Ming Pan, Kathryn Lawson, Jiangtao Liu, Dapeng Feng, Chaopeng Shen

CoRR, 2020

2019

Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales.

Dapeng Feng, Kuai Fang, Chaopeng Shen

CoRR, 2019

2011

Innovation Design on Walking Structure of Diameter-Changeable Wheel Robot.

Dapeng Feng

Proceedings of the Applied Informatics and Communication - International Conference, 2011