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Hao Sha
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j7]Yuxiang Cui
, Shuhao Ye
, Xuecheng Xu
, Hao Sha
, Cheng Wang
, Longzhong Lin
, Zhe Liu, Rong Xiong
, Yue Wang
:
Learning Hierarchical Graph-Based Policy for Goal-Reaching in Unknown Environments. IEEE Robotics Autom. Lett. 9(6): 5655-5662 (2024) - [j6]Yunkai Wang, Quyu Kong, He Zhu, Dongkun Zhang, Longzhong Lin, Hao Sha, Xunlong Xia, Qiao Liang, Bing Deng, Ken Chen, Rong Xiong, Yue Wang, Jieping Ye:
Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights. IEEE Robotics Autom. Lett. 9(9): 7915-7922 (2024) - [c15]Shuhao Ye, Yuxiang Cui, Hao Sha, Sha Lu, Yu Zhang, Rong Xiong, Yue Wang:
RGBD-based Image Goal Navigation with Pose Drift: A Topo-metric Graph based Approach. ICRA 2024: 18391-18397 - [c14]Yu Han, Yu Miao, Hao Sha, Yue Liu:
Exploring Influences of Appearance and Voice Realism of Virtual Humans on Communication Effectiveness in Social Virtual Reality. VR Workshops 2024: 721-722 - 2023
- [j5]Yi Xiao
, Hao Sha, Huaying Hao, Yue Liu, Yongtian Wang:
3D hand mesh recovery through inverse kinematics from a monocular RGB image. Displays 80: 102535 (2023) - [c13]Hao Sha, Yuhui Wu, Yu Liu, Yue Liu:
Realistic Fusion of Virtual Materials and Hands for AR through Intrinsic Decomposition. ISMAR-Adjunct 2023: 619-624 - [i6]Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding:
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving. CoRR abs/2310.03026 (2023) - 2022
- [c12]Hao Sha, Qianen Lai, Hongxiang Yu, Rong Xiong, Yue Wang:
Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping. CoRL 2022: 1050-1059 - 2021
- [j4]Hao Sha
, Mohammad Al Hasan, George O. Mohler
:
Learning network event sequences using long short-term memory and second-order statistic loss. Stat. Anal. Data Min. 14(1): 61-73 (2021) - [c11]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Source detection on networks using spatial temporal graph convolutional networks. DSAA 2021: 1-11 - [c10]Hao Sha, Yue Liu, Kai Lu, Chenguang Lu, Hengrun Chen, Yongtian Wang:
Single Scene Image Editing Based on Deep Intrinsic Decomposition. ICIG (3) 2021: 545-556 - [c9]Hao Sha, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction Using Conditional Variational Autoencoder. ICWSM 2021: 656-667 - [i5]Baohua Sun, Weixiong Lin, Hao Sha, Jiapeng Su:
GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS. CoRR abs/2101.10444 (2021) - [i4]Baohua Sun, Tao Zhang, Jiapeng Su, Hao Sha:
GnetDet: Object Detection Optimized on a 224mW CNN Accelerator Chip at the Speed of 106FPS. CoRR abs/2103.15756 (2021) - 2020
- [j3]Chunlei Luo
, Hao Sha
, Chun-Lai Ling
, Jin-Yang Li
:
Intelligent Detection for Tunnel Shotcrete Spray Using Deep Learning and LiDAR. IEEE Access 8: 1755-1766 (2020) - [c8]Baohua Sun, Lin Yang, Hao Sha, Michael Lin:
Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device. AffCon@AAAI 2020: 161-168 - [c7]Johnson Wong, Hao Sha, Mohammad Al Hasan, George O. Mohler, Steve Becker, Curtis Wiltse:
Automated Corn Ear Height Prediction Using Video-Based Deep Learning. IEEE BigData 2020: 2371-2374 - [c6]Hao Sha, Mohammad Al Hasan, Jeremy G. Carter, George O. Mohler:
Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization. IEEE BigData 2020: 3228-3236 - [c5]Baohua Sun, Hao Sha, Manouchehr Rafie, Lin Yang:
CDVA/VCM: Language for Intelligent and Autonomous Vehicles. ICIP 2020: 3104-3108 - [c4]Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. ICWSM Workshops 2020 - [i3]Baohua Sun, Lin Yang, Hao Sha, Michael Lin:
Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device. CoRR abs/2001.10179 (2020) - [i2]Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. CoRR abs/2004.11692 (2020) - [i1]Baohua Sun, Michael Lin, Hao Sha, Lin Yang:
SuperOCR: A Conversion from Optical Character Recognition to Image Captioning. CoRR abs/2012.02033 (2020)
2010 – 2019
- 2019
- [j2]Junping Hu, Shitu Abubakar
, Shengjun Liu
, Xiaobiao Dai, Gen Yang, Hao Sha
:
Near-Infrared Road-Marking Detection Based on a Modified Faster Regional Convolutional Neural Network. J. Sensors 2019: 7174602:1-7174602:11 (2019) - [c3]Andrew Stanhope, Hao Sha, Danielle Barman, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction. IEEE BigData 2019: 3045-3052 - [c2]Hao Sha, Baohua Sun, Nicholas Yi, Wenhan Zhang, Lin Yang:
On-device Chatbot System using SuperChat Method on Raspberry Pi and CNN Domain Specific Accelerator. BigMine@KDD 2019 - 2018
- [c1]Andrew Baas, Frances Hung, Hao Sha, Mohammad Al Hasan, George O. Mohler:
Predicting Virality on Networks Using Local Graphlet Frequency Distribution. IEEE BigData 2018: 2475-2482 - 2017
- [j1]Hao Sha
, Fangqiang Zhu
:
Parameter Optimization for Interaction between C-Terminal Domains of HIV-1 Capsid Protein. J. Chem. Inf. Model. 57(5): 1134-1141 (2017)
Coauthor Index
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last updated on 2024-09-02 01:04 CEST by the dblp team
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