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Guanghao Jin
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2020 – today
- 2024
- [j16]Qingzeng Song, Weizhi Cui, Liankun Sun, Guanghao Jin:
Design and Implementation of a Universal Shift Convolutional Neural Network Accelerator. IEEE Embed. Syst. Lett. 16(1): 17-20 (2024) - [j15]Guanghao Jin, Yuming Jiao, Jianming Wang, Ming Ma, Qingzeng Song:
Improving the performance of deep learning-based classification when a sample has various appearances. J. Exp. Theor. Artif. Intell. 36(2): 235-256 (2024) - [j14]Qingzeng Song, Yao Dai, Hao Lu, Guanghao Jin:
High-throughput systolic array-based accelerator for hybrid transformer-CNN networks. J. King Saud Univ. Comput. Inf. Sci. 36(9): 102194 (2024) - 2023
- [j13]Zhengchao Ding, Rize Jin, Joon-Young Paik, Guanghao Jin:
Textual Classification on Multiple Domains by Weighted Fusion of Multiple Models. IEEE Access 11: 67825-67834 (2023) - [c20]Guanghao Jin, Junhua Zhao, Yuqing Wang, Jieying Wang, Hui Du, Qingzeng Song:
Multi-level Teaching Text Classification based on the Fusion of Deep Learning Models. ICIEAI 2023: 155-159 - 2022
- [j12]Qingzeng Song, Jiabing Zhang, Liankun Sun, Guanghao Jin:
Design and Implementation of Convolutional Neural Networks Accelerator Based on Multidie. IEEE Access 10: 91497-91508 (2022) - [j11]Qingzeng Song, Junting Xu, Lei Ma, Ping Yang, Guanghao Jin:
The Classification of Multi-Domain Samples Based on the Cooperation of Multiple Models. Complex. 2022: 5578043:1-5578043:13 (2022) - [j10]Guanghao Jin, Qingzeng Song:
Flexible brain: a domain-model based bayesian network for classification. J. Exp. Theor. Artif. Intell. 34(6): 1011-1028 (2022) - [c19]Jintao Wang, Qingzeng Song, Maorui Hou, Guanghao Jin:
Infrared Image Object Detection of Vehicle and Person Based on Improved YOLOv5. APWeb/WAIM Workshops 2022: 175-187 - [c18]Junting Xu, Ping Yang, Guanghao Jin, Qingzeng Song:
The Classification of Multiple-domain Samples based on Multiple Deep Learning Models. ICCIR 2022: 573-579 - 2021
- [j9]Guanghao Jin, Yixin Hu, Yuming Jiao, Junfang Wen, Qingzeng Song:
Improving the Performance of Deep Learning Model-Based Classification by the Analysis of Local Probability. Complex. 2021: 5534385:1-5534385:11 (2021) - [j8]Weiqi Li, Jianming Wang, Jiayu Liang, Guanghao Jin, Tae-Sun Chung:
Online dense activity detection. IET Comput. Vis. 15(5): 323-333 (2021) - [j7]XiaoQing Bu, Yukuan Sun, Jianming Wang, Kunliang Liu, Jiayu Liang, Guanghao Jin, Tae-Sun Chung:
Weakly supervised video object segmentation initialized with referring expression. Neurocomputing 453: 754-765 (2021) - 2020
- [j6]Zhi Li, Rui Li, Guanghao Jin:
Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary. IEEE Access 8: 75073-75084 (2020) - [j5]Fan Liu, Qingzeng Song, Guanghao Jin:
The classification and denoising of image noise based on deep neural networks. Appl. Intell. 50(7): 2194-2207 (2020) - [j4]Jianming Wang, Enjie Cui, Kunliang Liu, Yukuan Sun, Jiayu Liang, Chunmiao Yuan, Xiaojie Duan, Guanghao Jin, Tae-Sun Chung:
Referring expression comprehension model with matching detection and linguistic feedback. IET Comput. Vis. 14(8): 625-633 (2020) - [j3]Guanghao Jin, Fan Liu, Hao Wu, Qingzeng Song:
Deep learning-based framework for expansion, recognition and classification of underwater acoustic signal. J. Exp. Theor. Artif. Intell. 32(2): 205-218 (2020) - [c17]Yapei Zhao, Qingzeng Song, Xuechun Wang, Yijie Zhang, Guanghao Jin:
De-speckling Convolutional Neural Network and Classification Method for SAR Images. ICACI 2020: 194-198
2010 – 2019
- 2019
- [c16]Ying Niu, Chunmiao Yuan, Kunliang Liu, Yukuan Sun, Jiayu Liang, Guanghao Jin, Jianming Wang:
Invariance Matters: Person Re-identification by Local Color Transfer. ADMA 2019: 421-430 - [c15]Siyu Ren, Guanghao Jin, Kunliang Liu, Yukuan Sun, Jiayu Liang, Shiling Jiang, Jianming Wang:
Research on Interactive Intent Recognition Based on Facial Expression and Line of Sight Direction. ADMA 2019: 431-443 - [c14]Molefe Vicky Mleya, Weiqi Li, Jiayu Liang, Kunliang Liu, Yunkuan Sun, Guanghao Jin, Jianming Wang:
Online Aggregated-Event Representation for Multiple Event Detection in Videos. ADMA 2019: 501-515 - [c13]Pengju Zhang, Chunmiao Yuan, Kunliang Liu, Yukuan Sun, Jiayu Liang, Guanghao Jin, Jianming Wang:
Fast Video Clip Retrieval Method via Language Query. ADMA 2019: 526-534 - [c12]Jianming Wang, Wei Deng, Yukuan Sun, Yuanyuan Li, Kai Wang, Guanghao Jin:
Twice Opportunity Knocks Syntactic Ambiguity: A Visual Question Answering Model with yes/no Feedback. ICME 2019: 736-741 - [c11]XiaoQing Bu, Jianming Wang, Jiayu Liang, Kunliang Liu, Yukuan Sun, Guanghao Jin:
One-Shot Video Object Segmentation Initialized with Referring Expression. PRCV (2) 2019: 416-428 - [c10]Shaonan Wei, Jianming Wang, Yukuan Sun, Guanghao Jin, Jiayu Liang, Kunliang Liu:
Scenario Referring Expression Comprehension via Attributes of Vision and Language. PRCV (3) 2019: 430-441 - [c9]Shiling Jiang, Ming Ma, Jianming Wang, Jiayu Liang, Kunliang Liu, Yukuan Sun, Wei Deng, Siyu Ren, Guanghao Jin:
Semantic Reanalysis of Scene Words in Visual Question Answering. PRCV (1) 2019: 468-479 - 2018
- [j2]Zhi Li, Guanghao Jin, Shen Duan:
Evolutionary Game Dynamics for Financial Risk Decision-Making in Global Supply Chain. Complex. 2018: 9034658:1-9034658:10 (2018) - [c8]Hao Wu, Qingzeng Song, Guanghao Jin:
Deep Learning based Framework for Underwater Acoustic Signal Recognition and Classification. CSAI/ICIMT 2018: 385-388 - [c7]Enjie Cui, Jianming Wang, Jiayu Liang, Guanghao Jin:
Selective Comprehension for Referring Expression by Prebuilt Entity Dictionary with Modular Networks. PKAW 2018: 211-220 - [c6]Tao Guo, Jianming Wang, Rize Jin, Guanghao Jin:
Pose Specification Based Online Person Identification. PKAW 2018: 221-230 - [c5]Weiqi Li, Jianming Wang, Shengbei Wang, Guanghao Jin:
Get the Whole Action Event by Action Stage Classification. PKAW 2018: 231-240 - 2017
- [j1]Guanghao Jin, Young-Ju Lee, Hengguang Li:
Regularity estimates and optimal finite element methods in on polygonal domains. Comput. Math. Appl. 74(9): 2089-2105 (2017) - 2015
- [c4]Wenqiang Li, Guanghao Jin, Xuewen Cui, Simon See:
An Evaluation of Unified Memory Technology on NVIDIA GPUs. CCGRID 2015: 1092-1098 - 2014
- [c3]Toshio Endo, Guanghao Jin:
Software technologies coping with memory hierarchy of GPGPU clusters for stencil computations. CLUSTER 2014: 132-139 - 2013
- [c2]Guanghao Jin, Toshio Endo, Satoshi Matsuoka:
A parallel optimization method for stencil computation on the domain that is bigger than memory capacity of GPUs. CLUSTER 2013: 1-8 - [c1]Guanghao Jin, Toshio Endo, Satoshi Matsuoka:
A Multi-Level Optimization Method for Stencil Computation on the Domain that is Bigger than Memory Capacity of GPU. IPDPS Workshops 2013: 1080-1087
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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