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Jun Liao
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2020 – today
- 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) - [c32]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 - 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 2024-08-16 00:44 CEST by the dblp team
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