Junhong Liu - researchr alias

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Viewing Publication 1 - 28 from 28

2024

Privacy-Preserving Peer-to-Peer Energy Trading via Hybrid Secure ComputationsJunhong Liu, Qinfei Long, Rong-Peng Liu, Wenjie Liu, Xin Cui, Yunhe Hou. tsg, 15(2):1951-1964, 2024. [doi]

2023

A Hybrid Machine Learning Method for Diabetes Detection based on Unsupervised ClusteringJunhong Liu, Bo Peng 0006, Zezhao Yin. icmlsc 2023: 144-149 [doi]

Innovative Energy Management System for Energy Storage Systems of Multiple-Type with Cascade Utilization BatteryJunhong Liu, Yongmi Zhang, Yanhong Li, Yulei Liu, Xingxing Wang, Lei Zhao, Qiguang Liang, Jun Ye. jcsc, 32(12), August 2023. [doi]

Energy and Reserve Sharing Considering Uncertainty and Communication ResourcesWenjie Liu, Yunjian Xu, Junhong Liu, Wenqian Yin, Yunhe Hou, Zaiyue Yang. iotj, 10(14):12627-12637, July 2023. [doi]

Classification of lower limb motor imagery based on iterative EEG source localization and feature fusionXiaobo Peng, Junhong Liu, Ying Huang, Yanhao Mao, Dong Li. nca, 35(19):13711-13724, July 2023. [doi]

Towards Effective Automatic Debt Collection with Persona AwarenessTong Zhang, Junhong Liu, Chen Huang, Jia Liu, Hongru Liang, Zujie Wen, Wenqiang Lei. emnlp 2023: 32-45 [doi]

2022

Modeling of the EV dynamic wireless charging loadXin Cui, Wei Liu, Junhong Liu, Yunhe Hou, Liang Liang 0004. isgta 2022: 280-284 [doi]

A Multi-Task Semantic Segmentation Network for Threat Detection in X-Ray Security ImagesJunhong Liu, Baoping Li. icip 2022: 731-735 [doi]

Regional Water Resources Allocation Based on Fuzzy Data MiningJunhong Liu, Tianqi Ren, Ziyue Huang, Yan Tu. icbdc 2022: 6-13 [doi]

Improve Interpretability of Neural Networks via Sparse Contrastive CodingJunhong Liu, Yijie Lin 0001, Liang Jiang, Jia Liu, Zujie Wen, Xi Peng 0001. emnlp 2022: 460-470 [doi]

Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction PredictionPenglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen, Yuedong Yang. jcisd, 62(5):1308-1317, 2022. [doi]

WholeGraph: A Fast Graph Neural Network Training Framework with Multi-GPU Distributed Shared Memory ArchitectureDongxu Yang, Junhong Liu, Jiaxing Qi, Junjie Lai. sc 2022: 1-14 [doi]

2021

Optimizing Winograd-Based Convolution with Tensor CoresJunhong Liu, Dongxu Yang, Junjie Lai. icpp 2021: [doi]

EDGES: An Efficient Distributed Graph Embedding System on GPU ClustersDongxu Yang, Junhong Liu, Junjie Lai. tpds, 32(7):1892-1902, 2021. [doi]

2020

Query Distillation: BERT-based Distillation for Ensemble RankingWangshu Zhang, Junhong Liu, Zujie Wen, Yafang Wang, Gerard de Melo. COLING 2020: 33-43 [doi]

2019

Register-Aware Optimizations for Parallel Sparse Matrix-Matrix MultiplicationJunhong Liu, Xin He, Weifeng Liu 0002, Guangming Tan. ijpp, 47(3):403-417, 2019. [doi]

2018

2016

Low-Frequency Error Extraction and Compensation for Attitude Measurements from STECE Star TrackerYuwang Lai, De-feng Gu, Junhong Liu, Wenping Li, Dongyun Yi. sensors, 16(10):1669, 2016. [doi]

Locality of Computation for Stencil OptimizationLufeng Yuan, Junhong Liu, Yulong Luo, Guangming Tan. ica3pp 2016: 449-456 [doi]

2006

A Unified Framework for Segmentation-Assisted Image RegistrationJundong Liu, Yang Wang, Junhong Liu. ACCV 2006: 405-414 [doi]

2005

2004

Growing RBF Networks for Function Approximation by a DE-Based MethodJunhong Liu, Saku Kukkonen, Jouni Lampinen. cis 2004: 399-406 [doi]

Artifact reduction in mutual-information-based CT-MR image registrationMingxiu Wei, Jundong Liu, Junhong Liu. miip 2004: [doi]

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