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Hao Sha
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2020 – today
- 2024
- [j9]Xiaochen Feng, Hao Sha, Yongbing Zhang
, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou
Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nat. Comput. Sci. 4(10): 761-772 (2024) - [j8]Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji:
Publisher Correction: Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nat. Comput. Sci. 4(11): 877 (2024) - [j7]Yuxiang Cui
Learning Hierarchical Graph-Based Policy for Goal-Reaching in Unknown Environments. IEEE Robotics Autom. Lett. 9(6): 5655-5662 (2024) - [j6]Yunkai Wang
Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights. IEEE Robotics Autom. Lett. 9(9): 7915-7922 (2024) - [c17]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 - [c16]Hao Sha, Yi Xiao, Pengjie Zhao, Tongtai Cao, Yue Liu, Yongtian Wang:
Color Illumination Image Separation from Single Complex Scene Image for Augmented Reality. ISMAR-Adjunct 2024: 401-402 - [c15]Hao Sha, Tongtai Cao, Yue Liu:
Material and Colored Illumination Separation from Single Real Image via Self-Supervised Domain Adaptation. SIGGRAPH Asia Posters 2024: 61:1-61:2 - [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
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
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
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
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
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 2024-12-11 20:46 CET by the dblp team
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