Shengjie Liu

According to our database, Shengjie Liu authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Aberration Modulation Correlation Method for Dim and Small Space Target Detection.

Changchun Jiang, Junwei Li, Shengjie Liu, Hao Xian

Remote. Sens., October, 2024

Physical Layer Authentication for Industrial Control Based on Convolutional Denoising Autoencoder.

Yanru Chen, Haoyu He, Shengjie Liu, Yuanyuan Zhang, Yang Li, Bin Xing, Bing Guo, Liangyin Chen

IEEE Internet Things J., May, 2024

Multidimensional Graph Neural Networks for Wireless Communications.

Shengjie Liu, Jia Guo, Chenyang Yang

IEEE Trans. Wirel. Commun., April, 2024

IDPD: improved deformable-DETR for crowd pedestrian detection.

Wenjing Han, Ning He, Xin Wang, Fengxi Sun, Shengjie Liu

Signal Image Video Process., April, 2024

Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction.

Shengjie Liu, Lu Zhang

IEEE Geosci. Remote. Sens. Lett., 2024

Learning robust correlation with foundation model for weakly-supervised few-shot segmentation.

Xinyang Huang, Chuang Zhu, Kebin Liu, Ruiying Ren, Shengjie Liu

Knowl. Based Syst., 2024

CROPS: A Deployable Crop Management System Over All Possible State Availabilities.

Jing Wu, Zhixin Lai, Shengjie Liu, Suiyao Chen, Ran Tao, Pan Zhao, Chuyuan Tao, Yikun Cheng, Naira Hovakimyan

CoRR, 2024

Towards a Robust Retrieval-Based Summarization System.

Shengjie Liu, Jing Wu, Jingyuan Bao, Wenyi Wang, Naira Hovakimyan, Christopher G. Healey

CoRR, 2024

Is Knowledge All Large Language Models Needed for Causal Reasoning?

Hengrui Cai, Shengjie Liu, Rui Song

CoRR, 2024

Learning User Scheduling and Hybrid Precoding with Sequential Graph Neural Network.

Shengjie Liu, Chenyang Yang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Using Time-Series Satellite Imagery to Detect Artificial Light At Night: the Case of Luojia-1 and International Space Station.

Shengjie Liu, Chu Wing So, Chun Shing Jason Pun

Proceedings of the IGARSS 2024, 2024

A Distillation Network using Improved ConvLSTM for Video Anomaly Detection.

Jialong Li, Chunjie Zhou, Shengjie Liu, Xiaoyun Lu

Proceedings of the International Conference on Computing, 2024

SwitchTab: Switched Autoencoders Are Effective Tabular Learners.

Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep Learning With Convolutional Neural Networks for Motor Brain-Computer Interfaces Based on Stereo-Electroencephalography (SEEG).

Xiaolong Wu, Shize Jiang, Guangye Li, Shengjie Liu, Benjamin Metcalfe, Liang Chen, Dingguo Zhang

IEEE J. Biomed. Health Informatics, May, 2023

Intelligent Reflecting Surface-Assisted Physical Layer Key Generation with Deep Learning in MIMO Systems.

Shengjie Liu, Guo Wei, Haoyu He, Hao Wang, Yanru Chen, Dasha Hu, Yuming Jiang, Liangyin Chen

Sensors, 2023

Lightweight human pose estimation algorithm based on polarized self-attention.

Shengjie Liu, Ning He, Cheng Wang, Haigang Yu, Wenjing Han

Multim. Syst., 2023

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review.

Chuang Zhu, Shengjie Liu, Feng Xu, Zekuan Yu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin

CoRR, 2023

Using High-Resolution Nighttime Remote Sensing Data to Identify Light Sources in Hong Kong.

Shengjie Liu, Chu Wing So, Hung Chak Ho, Qian Shi, Chun Shing Jason Pun

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Using Multi-Source Data to Capture the Impacts of Earth Hour 2021: A Case Study of Hong Kong.

Shengjie Liu, Chu Wing So, Xiang Feng Foo, Chun Shing Jason Pun

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Human Action Recognition Method Based on Spatio-temporal Relationship.

Haigang Yu, Ning He, Shengjie Liu, Wenjing Han

Proceedings of the Image and Graphics - 12th International Conference, 2023

Rare Association Rule Mining Based on Reinforcement Learning.

Shengjie Liu, Chunjie Zhou, Jialong Li, Xiaoyun Lu

Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels.

Shengjie Liu, Chuang Zhu, Yuan Li, Wenqi Tang

Proceedings of the IEEE International Conference on Acoustics, 2023

Alzheimer Classification Based on Inception V3 Convolutional Neural Network.

Shengjie Liu, Teoh Teik Toe

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

2022

Your heart rate betrays you: multimodal learning with spatio-temporal fusion networks for micro-expression recognition.

Ren Zhang, Ning He, Shengjie Liu, Ying Wu, Kang Yan, Yuzhe He, Ke Lu

Int. J. Multim. Inf. Retr., 2022

WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels.

Shengjie Liu, Chuang Zhu, Wenqi Tang

CoRR, 2022

Estimating PM2.5 and PM10 on Zhuhai-1 Hyperspectral Imagery.

Shengjie Liu, Qian Shi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Learning Hybrid Precoding Efficiently for mmWave Systems with Mathematical Properties.

Shengjie Liu, Jia Guo, Chenyang Yang

Proceedings of the IEEE Global Communications Conference, 2022

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix.

Shengjie Liu, Chuang Zhu, Feng Xu, Xinyu Jia, Zhongyue Shi, Mulan Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning.

Shengjie Liu, Qian Shi, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2021

Crop Mapping Using Sentinel Full-Year Dual-Polarized SAR Data and a CPU-Optimized Convolutional Neural Network With Two Sampling Strategies.

Shengjie Liu, Zhize Zhou, Huaxiang Ding, Yuanjun Zhong, Qian Shi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification.

Shengjie Liu, Haowen Luo, Qian Shi

IEEE Geosci. Remote. Sens. Lett., 2021

Discovery of Novel Small Molecule Inhibitors Disrupting the PCSK9-LDLR Interaction.

Hengzhi Sun, Jinzheng Wang, Shengjie Liu, Xinyu Zhou, Liang Dai, Caiping Chen, Qinglong Xu, Xiaoan Wen, Keguang Cheng, Hongbin Sun, Haoliang Yuan

J. Chem. Inf. Model., 2021

Analyzing Long-Term Artificial Light at Night Using Viirs Monthly Product with Land Use Data: Preliminary Result of Hong Kong.

Shengjie Liu, Chu Wing So, Chun Shing Jason Pun

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Multi-Label Local Climate Zone Mapping as Scene Classification Using Very High Resolution Imagery: Preliminary Result of Hong Kong.

Shengjie Liu, Qian Shi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Multitask Deep Learning With Spectral Knowledge for Hyperspectral Image Classification.

Shengjie Liu, Qian Shi

IEEE Geosci. Remote. Sens. Lett., 2020

Discovery of Ubiquitin-Specific Protease 7 (USP7) Inhibitors with Novel Scaffold Structures by Virtual Screening, Molecular Dynamics Simulation, and Biological Evaluation.

Shengjie Liu, Xinyu Zhou, Minglei Li, Wenfeng Zhao, Shuxi Zhou, Keguang Cheng, Qinglong Xu, Caiping Chen, Xiaoan Wen, Hongbin Sun, Haoliang Yuan

J. Chem. Inf. Model., 2020

2019

Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data.

Shengjie Liu, Zhixin Qi, Xia Li, Anthony Gar-On Yeh

Remote. Sens., 2019

云环境下SNS隐私保护方案 (Privacy Preserving Scheme for SNS in Cloud Environment).

Shengjie Liu, Jing Wang

计算机科学, 2019

Multitask deep learning with spectral knowledge for hyperspectral image classification.

Shengjie Liu, Qian Shi, Zhixin Qi

CoRR, 2019

2018

Wide Contextual Residual Network with Active Learning for Remote Sensing Image Classification.

Shengjie Liu, Haowen Luo, Ying Tu, Zhi He, Jun Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018