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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j34]Tingpeng Li, Lei Wang
, Danhua Peng, Jun Liao, Li Liu, Zhendong Liu:
Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph. IEEE Access 12: 136502-136514 (2024)- [j33]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: 108258 (2024) - [j32]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): 79 (2024) - [j31]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): 135-148 (2024) - [j30]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: 111709 (2024) - [j29]Shanshan Huang, Lei Wang, Jun Liao, Li Liu:
Multi-attentional causal intervention networks for medical image diagnosis. Knowl. Based Syst. 299: 111993 (2024) - [j28]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: 1-5 (2024) - [j27]Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu:
Finding score-based representative samples for cancer risk prediction. Pattern Recognit. 156: 110767 (2024) - [c34]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: 8551-8555 - [c33]Laiming Jiang, Jiawei Liu, Shu Wang, Jun Liao, Qingsong Li, Zhengyang Li, Shen Chen, Li Liu:
Multi-channel Spatio-Temporal Causal Representation Model for Cognitive Load Assessment in Physiological Signals. ICME 2024: 1-6 - [c32]Zhengyang Li, Shanshan Huang, Jiawei Liu, Laiming Jiang, Shen Chen, Yi Zhang, Jun Liao, Shu Wang, Li Liu:
Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data. ICME 2024: 1-6 - 2023
- [j26]Mincong Wu, Jun Liao, Zirui Shu, Changjun Chen:
Enhanced sampling in explicit solvent by deep learning module in FSATOOL. J. Comput. Chem. 44(22): 1845-1856 (2023) - [j25]Mincong Wu, Jun Liao, Zirui Shu, Changjun Chen:
Front Cover. J. Comput. Chem. 44(22): C1 (2023) - [j24]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): 1649-1659 (2023) - [j23]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): 815-825 (2023) - [j22]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): 4490-4496 (2023) - [j21]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): 4204 (2023) - [c31]Jingyu Wu, Lefan Hou, Zejian Li, Jun Liao, Li Liu, Lingyun Sun:
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer. AAAI 2023: 2830-2838 - [c30]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: 720-729 - 2022
- [j20]Wenbin Zhang, Jun Liao, Yi Zhang, Li Liu:
CMGAN: A generative adversarial network embedded with causal matrix. Appl. Intell. 52(14): 16233-16245 (2022) - [j19]Tian Bai, Zhijie Li, Bo Fan, Jun Liao:
Maintaining temporal validity of real-time data in component-based systems. Computing 104(11): 2347-2374 (2022) - [j18]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): 215-224 (2022) - [j17]Jun Liao, Alan T. K. Wan, Shuyuan He, Guohua Zou:
Optimal model averaging for multivariate regression models. J. Multivar. Anal. 189: 104858 (2022) - [j16]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): 575-585 (2022) - [j15]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: 101600 (2022) - [j14]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): 5238-5245 (2022) - [c29]Shengyuan Zhang, Jingyu Wu, Zejian Li, Li Liu, Jun Liao, Lingyun Sun:
FIGCI: Flow-Based Information-Geometric Causal Inference. CICAI (2) 2022: 520-531 - 2021
- [j13]Jun Liao, Dandan Liu, Guoxin Su, Li Liu:
Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network. Appl. Intell. 51(11): 7933-7945 (2021) - [j12]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: 101861 (2021) - [c28]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: 518-528 - [c27]Xunyu Zhu, Jian Li, Yong Liu, Jun Liao, Weiping Wang:
Operation-level Progressive Differentiable Architecture Search. ICDM 2021: 1559-1564 - [c26]Hao Luo, Jun Liao, Xuewen Yan, Li Liu:
Oversampling by a Constraint-Based Causal Network in Medical Imbalanced Data Classification. ICME 2021: 1-6 - [c25]Xin Li, Jun Liao, Li Liu:
Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network. ECML/PKDD (4) 2021: 151-167 - [c24]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: 2568-2575 - 2020
- [j11]Jun Liao, Guohua Zou:
Corrected Mallows criterion for model averaging. Comput. Stat. Data Anal. 144: 106902 (2020) - [j10]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: 103432 (2020) - [c23]Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu:
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. ECAI 2020: 2720-2727 - [c22]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: 1689-1700 - [c21]Xuewen Yan, Jun Liao, Hao Luo, Yi Zhang, Li Liu:
Predicting Cancer Risks By A Constraint-Based Causal Network. ICME 2020: 1-6 - [c20]Junfeng Hu, Jun Liao, Li Liu, Wenchao Ma:
RCapsNet: A Recurrent Capsule Network for Text Classification. IJCNN 2020: 1-8 - [c19]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: 1-8 - [c18]Jun Liao, Junfeng Hu, Li Liu:
Recognizing Complex Activities by a Temporal Causal Network-Based Model. ECML/PKDD (4) 2020: 341-357 - [c17]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: 3200-3205 - [c16]Mengyuan Ran, Shanshan Wang, Jun Liao, Yuhao Zhang, Li Liu:
STGauntlet: Recognizing Hand Gestures over Multiple Hand-Worn Motion Sensors. SMC 2020: 3340-3345 - [c15]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: 4127-4133 - [i6]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 abs/2002.04180 (2020) - [i5]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 abs/2011.11879 (2020)
2010 – 2019
- 2019
- [j9]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: 54780-54786 (2019) - [j8]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) - [c14]Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao:
Social-Aware and Sequential Embedding for Cold-Start Recommendation. KSEM (1) 2019: 60-71 - [c13]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: 406-413 - [c12]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: 763-773 - [c11]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: 1219-1224 - [c10]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: 1225-1230 - [i4]Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu:
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. CoRR abs/1911.02404 (2019) - 2018
- [i3]Shaowei Jiang, Kaikai Guo, Jun Liao, Guoan Zheng:
Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow. CoRR abs/1803.03434 (2018) - [i2]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 abs/1812.06125 (2018) - 2017
- [j7]Mingjian Zhao, Jun Liao:
A compact low power current-mode LNA-Mixer for RF receiver. IEICE Electron. Express 14(18): 20170773 (2017) - [j6]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): 42-46 (2017) - [i1]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 abs/1707.03039 (2017) - 2016
- [c9]Jun Liao, Chaohui Jiang, Chun Guo:
Data privacy protection based on sensitive attributes dynamic update. CCIS 2016: 377-381 - 2015
- [c8]Fangfa Fu, Jun Liao, Tao Li, Jinxiang Wang:
A deterministic optimal task migration algorithm design in NoC-based multi-core system. ASICON 2015: 1-4 - 2013
- [j5]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) - [j4]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): 670-683 (2013) - 2012
- [c7]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: 2321-2324 - 2011
- [c6]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: 8424-8427
2000 – 2009
- 2009
- [j3]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): 1425-1432 (2009) - 2006
- [c5]Manfred K. Warmuth, Jun Liao, Gunnar Rätsch:
Totally corrective boosting algorithms that maximize the margin. ICML 2006: 1001-1008 - 2004
- [c4]Xianggang Zhang, Jun Liao, Jinde Liu:
Open Middleware-Based Infrastructure for Context-Aware in Pervasive Computing. CIS 2004: 85-92 - 2003
- [j2]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): 667-673 (2003) - 2001
- [c3]Hiroshi Kondo, Keiko Yamahara, Jun Liao:
Identification of DCT signs for sub-block coding. ISSPA 2001: 569-572 - [c2]Manfred K. Warmuth, Gunnar Rätsch, Michael Mathieson, Jun Liao, Christian Lemmen:
Active Learning in the Drug Discovery Process. NIPS 2001: 1449-1456 - 2000
- [j1]Meng Joo Er, Jun Liao, Jianya Lin:
Fuzzy neural networks-based quality prediction system for sintering process. IEEE Trans. Fuzzy Syst. 8(3): 314-324 (2000) - [c1]Meng Joo Er, Jun Liao, Jianya Lin, Maolin Ni:
A novel development tool of fuzzy neural networks. ACC 2000: 2458-2462
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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