Jun Liao

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 59

Top Topics

Causal Inference

Top Venues

J. Comput. Chem.

Publications

Shu Wang, Xiaohu Li, Guorui Liao, Jiawei Liu, Changbo Liao, Ming Liu, Jun Liao, Li Liu
A spatio-temporal graph neural network for fall prediction with inertial sensors. Knowl. Based Syst. 293 (2024)
Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu
A survey of causal discovery based on functional causal model. Eng. Appl. Artif. Intell. 133 (2024)
Yaning Wu, Handong Huang, Xingda Tian, Jun Liao, Suo Cheng
Window Parameter-Optimized W-Transform Method and Its Application. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu
Finding score-based representative samples for cancer risk prediction. Pattern Recognit. 156 (2024)
Xiaohu Li, Jiawei Liu, Guorui Liao, Mingrui Yin, Shu Wang, Guoxin Su, Jun Liao, Li Liu
Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors. ICASSP (2024)
Ruifeng Zhou, Jing Fan, Sishu Li, Wenjie Zeng, Yilun Chen, Xiaoshan Zheng, Hongyang Chen, Jun Liao
LVPocket: integrated 3D global-local information to protein binding pockets prediction with transfer learning of protein structure classification. J. Cheminformatics 16 (1) (2024)
Shanshan Huang, Lei Wang, Jun Liao, Li Liu
Multi-attentional causal intervention networks for medical image diagnosis. Knowl. Based Syst. 299 (2024)
Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu
Controllable image generation based on causal representation learning. Frontiers Inf. Technol. Electron. Eng. 25 (1) (2024)
Jun Liao, Zirui Shu, Junyong Gao, Mincong Wu, Changjun Chen
SurfPB: A GPU-Accelerated Electrostatic Calculation and Visualization Tool for Biomolecules. J. Chem. Inf. Model. 63 (15) (2023)
Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao, Junzhou Huang, Wenming Yang, Jianhua Yao
An Unsupervised Multispectral Image Registration Network for Skin Diseases. MICCAI (10) (2023)
Ze Chen, Jun Liao, Wangli Xu, Yuhong Yang
Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models. J. Comput. Graph. Stat. 32 (4) (2023)
Jun Liao, Yuanchang Lin, Tengyun Ma, Songxiying He, Xiaofang Liu, Guotian He
Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP. Sensors 23 (9) (2023)
Mincong Wu, Jun Liao, Zirui Shu, Changjun Chen
Front Cover. J. Comput. Chem. 44 (22) (2023)
Yuqing Yang, Dongping Liu, Zhendong Hua, Peng Xu, Youmei Wang, Bin Di, Jun Liao, Mengxiang Su
Machine Learning-Assisted Rapid Screening of Four Types of New Psychoactive Substances in Drug Seizures. J. Chem. Inf. Model. 63 (3) (2023)
Jingyu Wu, Lefan Hou, Zejian Li, Jun Liao, Li Liu, Lingyun Sun
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer. AAAI (2023)
Mincong Wu, Jun Liao, Zirui Shu, Changjun Chen
Enhanced sampling in explicit solvent by deep learning module in FSATOOL. J. Comput. Chem. 44 (22) (2023)
Tian Bai, Zhijie Li, Bo Fan, Jun Liao
Maintaining temporal validity of real-time data in component-based systems. Computing 104 (11) (2022)
Yande Li, Lulan Yu, Jun Liao, Guoxin Su, Ammarah Hashmi, Li Liu, Shu Wang
A single smartwatch-based segmentation approach in human activity recognition. Pervasive Mob. Comput. 83 (2022)
Wenbin Zhang, Jun Liao, Yi Zhang, Li Liu
CMGAN: A generative adversarial network embedded with causal matrix. Appl. Intell. 52 (14) (2022)
Zirui Shu, Mincong Wu, Jun Liao, Changjun Chen
FSATOOL 2.0: An integrated molecular dynamics simulation and trajectory data analysis program. J. Comput. Chem. 43 (3) (2022)
Xiaobing Feng, Yingrong Hua, Jianjun Zou, Shuopeng Jia, Jiatong Ji, Yan Xing, Junshan Zhou, Jun Liao
Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke. Neuroinformatics 20 (3) (2022)
Jun Liao, Alan T. K. Wan, Shuyuan He, Guohua Zou
Optimal model averaging for multivariate regression models. J. Multivar. Anal. 189 (2022)
Sheng Yu, Di-Hua Zhai, Yuanqing Xia, Haoran Wu, Jun Liao
SE-ResUNet: A Novel Robotic Grasp Detection Method. IEEE Robotics Autom. Lett. 7 (2) (2022)
Shengyuan Zhang, Jingyu Wu, Zejian Li, Li Liu, Jun Liao, Lingyun Sun
FIGCI: Flow-Based Information-Geometric Causal Inference. CICAI (2) (2022)
Yidi Zhang, Mengyuan Ran, Jun Liao, Guoxin Su, Ming Liu, Li Liu
Stacked LSTM-Based Dynamic Hand Gesture Recognition with Six-Axis Motion Sensors. SMC (2021)
Xin Li, Jun Liao, Li Liu
Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network. ECML/PKDD (4) (2021)
Changjiang Zhou, Yi Jin, Yuzong Chen, Shan Huang, Rengpeng Huang, Yuhong Wang, Youcai Zhao, Yao Chen, Lingchuan Guo, Jun Liao
Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning. Comput. Medical Imaging Graph. 88 (2021)
Jun Liao, Dandan Liu, Guoxin Su, Li Liu
Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network. Appl. Intell. 51 (11) (2021)
Xunyu Zhu, Jian Li, Yong Liu, Jun Liao, Weiping Wang
Operation-level Progressive Differentiable Architecture Search. ICDM (2021)
Hao Luo, Jun Liao, Xuewen Yan, Li Liu
Oversampling by a Constraint-Based Causal Network in Medical Imbalanced Data Classification. ICME (2021)
Shanshan Wang, Jun Liao, Zirui Yong, Xiaohu Li, Li Liu
Inertial Sensor-Based Upper Limb Rehabilitation Auxiliary Equipment and Upper Limb Functional Rehabilitation Evaluation. ChineseCSCW (1) (2021)
Xi Hu, Liming Tan, Jiayi Zhou, Shahid Ali, Zirui Yong, Jun Liao, Li Liu
Recognizing Chinese Sign Language Based on Deep Neural Network. SMC (2020)
Ting Ye, Jun Liao, Xuewen Yan, Hao Luo, Wenbing Zhang, Li Liu
Discovering biomedical causality by a generative Bayesian causal network under uncertainty. IJCNN (2020)
Yuhao Zhang, Jun Liao, Mengyuan Ran, Xin Li, Shanshan Wang, Li Liu
ST-Xception: A Depthwise Separable Convolution Network for Military Sign Language Recognition. SMC (2020)
Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. ECAI (2020)
Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen
LoCEC: Local Community-based Edge Classification in Large Online Social Networks. ICDE (2020)
Jun Liao, Junfeng Hu, Li Liu
Recognizing Complex Activities by a Temporal Causal Network-Based Model. ECML/PKDD (4) (2020)
Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen
LoCEC: Local Community-based Edge Classification in Large Online Social Networks. CoRR (2020)
Xuewen Yan, Jun Liao, Hao Luo, Yi Zhang, Li Liu
Predicting Cancer Risks By A Constraint-Based Causal Network. ICME (2020)
Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma
RCapsNet: A Recurrent Capsule Network for Text Classification. IJCNN (2020)
Hong Wu, Yan Xing, Weihong Ge, Xiaoquan Liu, Jianjun Zou, Changjiang Zhou, Jun Liao
Drug-drug interaction extraction via hybrid neural networks on biomedical literature. J. Biomed. Informatics 106 (2020)
Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao
Blind deblurring for microscopic pathology images using deep learning networks. CoRR (2020)
Jun Liao, Guohua Zou
Corrected Mallows criterion for model averaging. Comput. Stat. Data Anal. 144 (2020)
Mengyuan Ran, Shanshan Wang, Jun Liao, Yuhao Zhang, Li Liu
STGauntlet: Recognizing Hand Gestures over Multiple Hand-Worn Motion Sensors. SMC (2020)
Zhanbo Yang, Li Li, Jun He, Zixi Wei, Li Liu, Jun Liao
Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning. KSEM (1) (2019)
Wenchao Ma, Junfeng Hu, Jun Liao, Zhencheng Fan, Jianjun Wu, Li Liu
Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope. KSEM (1) (2019)
Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. CoRR (2019)
Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen
Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao
Social-Aware and Sequential Embedding for Cold-Start Recommendation. KSEM (1) (2019)
Yi Jin, Changjiang Zhou, Xiaodong Teng, Jiatong Ji, Hong Wu, Jun Liao
PAI-WSIT: An AI Service Platform With Support for Storing and Sharing Whole-Slide Images With Metadata and Annotations. IEEE Access 7 (2019)
Dandan Liu, Jun Liao, Li Liu
Modeling Data-Driven Liver Cancer Prediction with Medical Knowledge on Chinese Population. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Yao Chen, Changjiang Zhou, Tianxin Li, Hong Wu, Xia Zhao, Kai Ye, Jun Liao
Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training. J. Biomed. Informatics 96 (2019)
Shaowei Jiang, Jun Liao, Zichao Bian, Pengming Song, Garrett Soler, Kazunori Hoshino, Guoan Zheng
Axially-shifted pattern illumination for macroscale turbidity suppression and virtual volumetric confocal imaging without axial scanning. CoRR (2018)
Shaowei Jiang, Kaikai Guo, Jun Liao, Guoan Zheng
Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow. CoRR (2018)
Mingjian Zhao, Jun Liao
A compact low power current-mode LNA-Mixer for RF receiver. IEICE Electron. Express 14 (18) (2017)
Jun Liao, Yutong Jiang, Zichao Bian, Bahareh Mahrou, Aparna Nambiar, Alexander W. Magsam, Kaikai Guo, Yong Ku Cho, Guoan Zheng
Rapid focus map surveying for whole slide imaging with continues sample motion. CoRR (2017)
Jun Liao, Chaohui Jiang, Chun Guo, Yuan Ping
一种基于权重属性熵的分类匿名算法 (Classification Anonymity Algorithm Based on Weight Attributes Entropy). 计算机科学 44 (7) (2017)
Jun Liao, Chaohui Jiang, Chun Guo
Data privacy protection based on sensitive attributes dynamic update. CCIS (2016)
Fangfa Fu, Jun Liao, Tao Li, Jinxiang Wang
A deterministic optimal task migration algorithm design in NoC-based multi-core system. ASICON (2015)
Hongliang Zhao, Yiqiang Zhao, Yiwei Song, Jun Liao, Junfeng Geng
A Low Power cryogenic CMOS ROIC Design for 512 × 512 IRFPA. J. Circuits Syst. Comput. 22 (10) (2013)
Jun Liao, Philip A. Chou, Chun Yuan, Yusuo Hu, Wenwu Zhu
Online Allocation of Communication and Computation Resources for Real-Time Multimedia Services. IEEE Trans. Multim. 15 (3) (2013)
Jun Liao, Chun Yuan, Wenwu Zhu, Philip A. Chou
Virtual mixer: Real-time audio mixing across clients and the cloud for multiparty conferencing. ICASSP (2012)
Emanuel Villa, Alayne Stewart White, Jun Liao, Amy L. de Jongh Curry
An inexpensive alternative bath system for electrophysiological characterization of isolated cardiac tissue. EMBC (2011)
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
Volume Illustration of Muscle from Diffusion Tensor Images. IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Manfred K. Warmuth, Jun Liao, Gunnar Rätsch
Totally corrective boosting algorithms that maximize the margin. ICML (2006)
Xianggang Zhang, Jun Liao, Jinde Liu
Open Middleware-Based Infrastructure for Context-Aware in Pervasive Computing. CIS (2004)
Manfred K. Warmuth, Jun Liao, Gunnar Rätsch, Michael Mathieson, Santosh Putta, Christian Lemmen
Active Learning with Support Vector Machines in the Drug Discovery Process. J. Chem. Inf. Comput. Sci. 43 (2) (2003)
Manfred K. Warmuth, Gunnar Rätsch, Michael Mathieson, Jun Liao, Christian Lemmen
Active Learning in the Drug Discovery Process. NIPS (2001)
Hiroshi Kondo, Keiko Yamahara, Jun Liao
Identification of DCT signs for sub-block coding. ISSPA (2001)
Meng Joo Er, Jun Liao, Jianya Lin, Maolin Ni
A novel development tool of fuzzy neural networks. ACC (2000)
Meng Joo Er, Jun Liao, Jianya Lin
Fuzzy neural networks-based quality prediction system for sintering process. IEEE Trans. Fuzzy Syst. 8 (3) (2000)