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2020 – today
- 2024
[j4]Weinan Chen
, Dehao Huang, Yaling Pan, Guangcheng Chen, Jiahao Ruan, Jingwen Yu, Jiamin Zheng, Hong Zhang:
Cloud Learning-Based Meets Edge Model-Based: Robots Don't Need to Build All the Submaps Itself. IEEE Trans. Veh. Technol. 73(2): 2292-2304 (2024)- [c8]Dehao Huang, Chao Tang, Hong Zhang:
Efficient Object Rearrangement via Multi-view Fusion. ICRA 2024: 18193-18199 - [i6]Chao Tang, Dehao Huang, Wenlong Dong, Ruinian Xu, Hong Zhang:
FoundationGrasp: Generalizable Task-Oriented Grasping with Foundation Models. CoRR abs/2404.10399 (2024) - [i5]Wenlong Dong, Dehao Huang, Jiangshan Liu, Chao Tang, Hong Zhang:
RTAGrasp: Learning Task-Oriented Grasping from Human Videos via Retrieval, Transfer, and Alignment. CoRR abs/2409.16033 (2024) - 2023
- [j3]Chao Tang, Dehao Huang, Wenqi Ge, Weiyu Liu, Hong Zhang:
GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping. IEEE Robotics Autom. Lett. 8(11): 7551-7558 (2023) - [c7]Chao Tang, Dehao Huang, Lingxiao Meng, Weiyu Liu, Hong Zhang:
Task-Oriented Grasp Prediction with Visual-Language Inputs. IROS 2023: 4881-4888 - [i4]Chao Tang, Dehao Huang, Lingxiao Meng, Weiyu Liu, Hong Zhang:
Task-Oriented Grasp Prediction with Visual-Language Inputs. CoRR abs/2302.14355 (2023) - [i3]Chao Tang, Dehao Huang, Wenqi Ge, Weiyu Liu, Hong Zhang:
GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping. CoRR abs/2307.13204 (2023) - [i2]Dehao Huang, Chao Tang, Hong Zhang:
Efficient Object Rearrangement via Multi-view Fusion. CoRR abs/2309.08994 (2023) - 2022
- [j2]Liang Guo, Peiduo Huang, Dehao Huang, Zilan Li, Chenglong She, Qianhang Guo, Qingmao Zhang, Jiaming Li, Qiongxiong Ma, Jie Li:
A classification method to classify bone marrow cells with class imbalance problem. Biomed. Signal Process. Control. 72(Part): 103296 (2022) - 2021
- [c6]Dehao Huang, Jintao Cheng, Rui Fan, Zhihao Su, Qiongxiong Ma, Jie Li:
Bone Marrow Cell Recognition: Training Deep Object Detection with A New Loss Function. IST 2021: 1-6 - [i1]Dehao Huang, Jintao Cheng, Rui Fan, Zhihao Su, Qiongxiong Ma, Jie Li:
Bone Marrow Cell Recognition: Training Deep Object Detection with A New Loss Function. CoRR abs/2110.12647 (2021)
2010 – 2019
- 2011
- [j1]Tsong Yueh Chen, Dehao Huang, Zhiquan Zhou:
On Adaptive Random Testing Through Iterative Partitioning. J. Inf. Sci. Eng. 27(4): 1449-1472 (2011)
2000 – 2009
- 2009
- [c5]Tsong Yueh Chen, Dehao Huang, Fei-Ching Kuo, Robert G. Merkel, Johannes Mayer:
Enhanced lattice-based adaptive random testing. SAC 2009: 422-429 - 2007
- [c4]Tsong Yueh Chen, Dehao Huang, T. H. Tse, Zongyuan Yang:
An Innovative Approach to Tackling the Boundary Effect in Adaptive Random Testing. HICSS 2007: 262 - 2006
- [c3]Tsong Yueh Chen, Dehao Huang, Zhiquan Zhou:
Adaptive Random Testing Through Iterative Partitioning. Ada-Europe 2006: 155-166 - [c2]Johannes Mayer, Tsong Yueh Chen, Dehao Huang:
Adaptive random testing through iterative partitioning revisited. SOQUA 2006: 22-29 - 2004
- [c1]Tsong Yueh Chen, Dehao Huang:
Adaptive Random Testing by Localization. APSEC 2004: 292-298
Coauthor Index
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