Jun Liao

According to our database, Jun Liao authored at least 72 papers between 2000 and 2024.

Collaborative distances:

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

2024

LVPocket: integrated 3D global-local information to protein binding pockets prediction with transfer learning of protein structure classification.

Ruifeng Zhou, Jing Fan, Sishu Li, Wenjie Zeng, Yilun Chen, Xiaoshan Zheng, Hongyang Chen, Jun Liao

J. Cheminformatics, December, 2024

Controllable image generation based on causal representation learning.

Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu

Frontiers Inf. Technol. Electron. Eng., January, 2024

Finding score-based representative samples for cancer risk prediction.

Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu

Pattern Recognit., 2024

Window Parameter-Optimized W-Transform Method and Its Application.

Yaning Wu, Handong Huang, Xingda Tian, Jun Liao, Suo Cheng

IEEE Geosci. Remote. Sens. Lett., 2024

A spatio-temporal graph neural network for fall prediction with inertial sensors.

Shu Wang, Xiaohu Li, Guorui Liao, Jiawei Liu, Changbo Liao, Ming Liu, Jun Liao, Li Liu

Knowl. Based Syst., 2024

Multi-attentional causal intervention networks for medical image diagnosis.

Shanshan Huang, Lei Wang, Jun Liao, Li Liu

Knowl. Based Syst., 2024

A survey of causal discovery based on functional causal model.

Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu

Eng. Appl. Artif. Intell., 2024

Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph.

Tingpeng Li, Lei Wang, Danhua Peng, Jun Liao, Li Liu, Zhendong Liu

IEEE Access, 2024

Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data.

Zhengyang Li, Shanshan Huang, Jiawei Liu, Laiming Jiang, Shen Chen, Yi Zhang, Jun Liao, Shu Wang, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multi-channel Spatio-Temporal Causal Representation Model for Cognitive Load Assessment in Physiological Signals.

Laiming Jiang, Jiawei Liu, Shu Wang, Jun Liao, Qingsong Li, Zhengyang Li, Shen Chen, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors.

Xiaohu Li, Jiawei Liu, Guorui Liao, Mingrui Yin, Shu Wang, Guoxin Su, Jun Liao, Li Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

SurfPB: A GPU-Accelerated Electrostatic Calculation and Visualization Tool for Biomolecules.

Jun Liao, Zirui Shu, Junyong Gao, Mincong Wu, Changjun Chen

J. Chem. Inf. Model., August, 2023

Machine Learning-Assisted Rapid Screening of Four Types of New Psychoactive Substances in Drug Seizures.

Yuqing Yang, Dongping Liu, Zhendong Hua, Peng Xu, Youmei Wang, Bin Di, Jun Liao, Mengxiang Su

J. Chem. Inf. Model., February, 2023

Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP.

Jun Liao, Yuanchang Lin, Tengyun Ma, Songxiying He, Xiaofang Liu, Guotian He

Sensors, 2023

Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models.

Ze Chen, Jun Liao, Wangli Xu, Yuhong Yang

J. Comput. Graph. Stat., 2023

Enhanced sampling in explicit solvent by deep learning module in FSATOOL.

Mincong Wu, Jun Liao, Zirui Shu, Changjun Chen

J. Comput. Chem., 2023

Front Cover.

Mincong Wu, Jun Liao, Zirui Shu, Changjun Chen

J. Comput. Chem., 2023

An Unsupervised Multispectral Image Registration Network for Skin Diseases.

Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao, Junzhou Huang, Wenming Yang, Jianhua Yao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer.

Jingyu Wu, Lefan Hou, Zejian Li, Jun Liao, Li Liu, Lingyun Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SE-ResUNet: A Novel Robotic Grasp Detection Method.

Sheng Yu, Di-Hua Zhai, Yuanqing Xia, Haoran Wu, Jun Liao

IEEE Robotics Autom. Lett., 2022

A single smartwatch-based segmentation approach in human activity recognition.

Yande Li, Lulan Yu, Jun Liao, Guoxin Su, Ammarah Hashmi, Li Liu, Shu Wang

Pervasive Mob. Comput., 2022

Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke.

Xiaobing Feng, Yingrong Hua, Jianjun Zou, Shuopeng Jia, Jiatong Ji, Yan Xing, Junshan Zhou, Jun Liao

Neuroinformatics, 2022

Optimal model averaging for multivariate regression models.

Jun Liao, Alan T. K. Wan, Shuyuan He, Guohua Zou

J. Multivar. Anal., 2022

FSATOOL 2.0: An integrated molecular dynamics simulation and trajectory data analysis program.

Zirui Shu, Mincong Wu, Jun Liao, Changjun Chen

J. Comput. Chem., 2022

Maintaining temporal validity of real-time data in component-based systems.

Tian Bai, Zhijie Li, Bo Fan, Jun Liao

Computing, 2022

CMGAN: A generative adversarial network embedded with causal matrix.

Wenbin Zhang, Jun Liao, Yi Zhang, Li Liu

Appl. Intell., 2022

FIGCI: Flow-Based Information-Geometric Causal Inference.

Shengyuan Zhang, Jingyu Wu, Zejian Li, Li Liu, Jun Liao, Lingyun Sun

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning.

Changjiang Zhou, Yi Jin, Yuzong Chen, Shan Huang, Rengpeng Huang, Yuhong Wang, Youcai Zhao, Yao Chen, Lingchuan Guo, Jun Liao

Comput. Medical Imaging Graph., 2021

Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network.

Jun Liao, Dandan Liu, Guoxin Su, Li Liu

Appl. Intell., 2021

Stacked LSTM-Based Dynamic Hand Gesture Recognition with Six-Axis Motion Sensors.

Yidi Zhang, Mengyuan Ran, Jun Liao, Guoxin Su, Ming Liu, Li Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network.

Xin Li, Jun Liao, Li Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Oversampling by a Constraint-Based Causal Network in Medical Imbalanced Data Classification.

Hao Luo, Jun Liao, Xuewen Yan, Li Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Operation-level Progressive Differentiable Architecture Search.

Xunyu Zhu, Jian Li, Yong Liu, Jun Liao, Weiping Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

Inertial Sensor-Based Upper Limb Rehabilitation Auxiliary Equipment and Upper Limb Functional Rehabilitation Evaluation.

Shanshan Wang, Jun Liao, Zirui Yong, Xiaohu Li, Li Liu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020

Drug-drug interaction extraction via hybrid neural networks on biomedical literature.

Hong Wu, Yan Xing, Weihong Ge, Xiaoquan Liu, Jianjun Zou, Changjiang Zhou, Jun Liao

J. Biomed. Informatics, 2020

Corrected Mallows criterion for model averaging.

Jun Liao, Guohua Zou

Comput. Stat. Data Anal., 2020

Blind deblurring for microscopic pathology images using deep learning networks.

Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao

CoRR, 2020

ST-Xception: A Depthwise Separable Convolution Network for Military Sign Language Recognition.

Yuhao Zhang, Jun Liao, Mengyuan Ran, Xin Li, Shanshan Wang, Li Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

STGauntlet: Recognizing Hand Gestures over Multiple Hand-Worn Motion Sensors.

Mengyuan Ran, Shanshan Wang, Jun Liao, Yuhao Zhang, Li Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Recognizing Chinese Sign Language Based on Deep Neural Network.

Xi Hu, Liming Tan, Jiayi Zhou, Shahid Ali, Zirui Yong, Jun Liao, Li Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Recognizing Complex Activities by a Temporal Causal Network-Based Model.

Jun Liao, Junfeng Hu, Li Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Discovering biomedical causality by a generative Bayesian causal network under uncertainty.

Ting Ye, Jun Liao, Xuewen Yan, Hao Luo, Wenbing Zhang, Li Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

RCapsNet: A Recurrent Capsule Network for Text Classification.

Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Predicting Cancer Risks By A Constraint-Based Causal Network.

Xuewen Yan, Jun Liao, Hao Luo, Yi Zhang, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

LoCEC: Local Community-based Edge Classification in Large Online Social Networks.

Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network.

Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training.

Yao Chen, Changjiang Zhou, Tianxin Li, Hong Wu, Xia Zhao, Kai Ye, Jun Liao

J. Biomed. Informatics, 2019

PAI-WSIT: An AI Service Platform With Support for Storing and Sharing Whole-Slide Images With Metadata and Annotations.

Yi Jin, Changjiang Zhou, Xiaodong Teng, Jiatong Ji, Hong Wu, Jun Liao

IEEE Access, 2019

Modeling Data-Driven Liver Cancer Prediction with Medical Knowledge on Chinese Population.

Dandan Liu, Jun Liao, Li Liu

Proceedings of the 2019 IEEE SmartWorld, 2019

Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature.

Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen

Proceedings of the 2019 IEEE SmartWorld, 2019

Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning.

Zhanbo Yang, Li Li, Jun He, Zixi Wei, Li Liu, Jun Liao

Proceedings of the Knowledge Science, Engineering and Management, 2019

Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope.

Wenchao Ma, Junfeng Hu, Jun Liao, Zhencheng Fan, Jianjun Wu, Li Liu

Proceedings of the Knowledge Science, Engineering and Management, 2019

Social-Aware and Sequential Embedding for Cold-Start Recommendation.

Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao

Proceedings of the Knowledge Science, Engineering and Management, 2019

2018

Axially-shifted pattern illumination for macroscale turbidity suppression and virtual volumetric confocal imaging without axial scanning.

Shaowei Jiang, Jun Liao, Zichao Bian, Pengming Song, Garrett Soler, Kazunori Hoshino, Guoan Zheng

CoRR, 2018

Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow.

Shaowei Jiang, Kaikai Guo, Jun Liao, Guoan Zheng

CoRR, 2018

2017

一种基于权重属性熵的分类匿名算法 (Classification Anonymity Algorithm Based on Weight Attributes Entropy).

Jun Liao, Chaohui Jiang, Chun Guo, Yuan Ping

计算机科学, 2017

A compact low power current-mode LNA-Mixer for RF receiver.

Mingjian Zhao, Jun Liao

IEICE Electron. Express, 2017

Rapid focus map surveying for whole slide imaging with continues sample motion.

Jun Liao, Yutong Jiang, Zichao Bian, Bahareh Mahrou, Aparna Nambiar, Alexander W. Magsam, Kaikai Guo, Yong Ku Cho, Guoan Zheng

CoRR, 2017

2016

Data privacy protection based on sensitive attributes dynamic update.

Jun Liao, Chaohui Jiang, Chun Guo

Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016

2015

A deterministic optimal task migration algorithm design in NoC-based multi-core system.

Fangfa Fu, Jun Liao, Tao Li, Jinxiang Wang

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2013

Online Allocation of Communication and Computation Resources for Real-Time Multimedia Services.

Jun Liao, Philip A. Chou, Chun Yuan, Yusuo Hu, Wenwu Zhu

IEEE Trans. Multim., 2013

A Low Power cryogenic CMOS ROIC Design for 512 × 512 IRFPA.

Hongliang Zhao, Yiqiang Zhao, Yiwei Song, Jun Liao, Junfeng Geng

J. Circuits Syst. Comput., 2013

2012

Virtual mixer: Real-time audio mixing across clients and the cloud for multiparty conferencing.

Jun Liao, Chun Yuan, Wenwu Zhu, Philip A. Chou

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

An inexpensive alternative bath system for electrophysiological characterization of isolated cardiac tissue.

Emanuel Villa, Alayne Stewart White, Jun Liao, Amy L. de Jongh Curry

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2009

Volume Illustration of Muscle from Diffusion Tensor Images.

Wei Chen, Zhicheng Yan, Song Zhang, John Allen Crow, David S. Ebert, Ronald M. McLaughlin, Katie B. Mullins, Robert Cooper, Zi'ang Ding, Jun Liao

IEEE Trans. Vis. Comput. Graph., 2009

2006

Totally corrective boosting algorithms that maximize the margin.

Manfred K. Warmuth, Jun Liao, Gunnar Rätsch

Proceedings of the Machine Learning, 2006

2004

Open Middleware-Based Infrastructure for Context-Aware in Pervasive Computing.

Xianggang Zhang, Jun Liao, Jinde Liu

Proceedings of the Computational and Information Science, First International Symposium, 2004

2003

Active Learning with Support Vector Machines in the Drug Discovery Process.

Manfred K. Warmuth, Jun Liao, Gunnar Rätsch, Michael Mathieson, Santosh Putta, Christian Lemmen

J. Chem. Inf. Comput. Sci., 2003

2001

Active Learning in the Drug Discovery Process.

Manfred K. Warmuth, Gunnar Rätsch, Michael Mathieson, Jun Liao, Christian Lemmen

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Identification of DCT signs for sub-block coding.

Hiroshi Kondo, Keiko Yamahara, Jun Liao

Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

2000

Fuzzy neural networks-based quality prediction system for sintering process.

Meng Joo Er, Jun Liao, Jianya Lin

IEEE Trans. Fuzzy Syst., 2000

A novel development tool of fuzzy neural networks.

Meng Joo Er, Jun Liao, Jianya Lin, Maolin Ni

Proceedings of the American Control Conference, 2000