Innovation Design on Walking Structure of Diameter-Changeable Wheel Robot. - Dapeng Feng (ICAIC (2), 2011)

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)

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)

Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling. - Dapeng Feng; Kathryn Lawson; Chaopeng Shen (CoRR, 2020)

Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. - Hanxue Liang; Chenhan Jiang; Dapeng Feng; Xin Chen 032; Hang Xu 004; Xiaodan Liang; Wei Zhang 196; Zhenguo Li; Luc Van Gool (ICCV, 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)

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)

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)

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)

Automatic Large-scale Data Generation for Open-topic Biomedical Event Relation Extraction. - Beibei Zhang; Lishuang Li; Qian Yang; Dapeng Feng (BIBM, 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; et al. (CoRR, 2023)

Point-Guided Contrastive Learning for Monocular 3-D Object Detection. - Dapeng Feng; Songfang Han; Hang Xu 004; Xiaodan Liang; Xiaojun Tan (IEEE Trans. Cybern., 2023)

RELEAD: Resilient Localization with Enhanced LiDAR Odometry in Adverse Environments. - Zhiqiang Chen; Hongbo Chen; Yuhua Qi; Shipeng Zhong; Dapeng Feng; Jin Wu 002; Weisong Wen; Ming Liu 001 (ICRA, 2024)

CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms. - Shipeng Zhong; Hongbo Chen; Yuhua Qi; Dapeng Feng; Zhiqiang Chen; Jin Wu 002; Weisong Wen; Ming Liu 001 (ICRA, 2024)

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 002; Kelin Peng; Peng Lu (CoRR, 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 001 (Neural Comput. Appl., 2024)

S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM. - Dapeng Feng; Yuhua Qi; Shipeng Zhong; Zhiqiang Chen; Qiming Chen; Hongbo Chen; Jin Wu 002; Jun Ma 008 (IEEE Robotics Autom. Lett., 2024)

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., 2025)