中文字幕手机在线看片不卡,日本少妇高潮喷水,越做高潮越喷奶水视频

徐庸輝

教授

山東大學山東大學-南洋理工大學人工智能國際聯(lián)合研究院

可信任AI , 知識圖譜 , 推薦系統(tǒng) , 協(xié)同計算及其在醫(yī)療健康 , 電子商務方向的應用

htcdzsw999.com/xuyh

簡介 ABOUT

動態(tài) NEWS

學術 ACADEMIC

圈子 LINKS

招收人工智能方向?qū)W術碩士、專業(yè)碩士,。歡迎同學們來信咨詢報考,。

郵箱：[email protected]

研究方向

可信任AI,、知識圖譜,、推薦系統(tǒng),、協(xié)同計算及其在醫(yī)療健康,、電子商務方向的應用,。

教育經(jīng)歷

2011年9月 - 2017年6月,，華南理工大學,，計算機科學與工程學院,，計算機科學與技術，工學博士

2007年9月 - 2011年6月,，河南大學,，數(shù)學與統(tǒng)計學院，信息與計算科學,，理學學士

工作經(jīng)歷

2021年05月起,，山東大學，山東大學-南洋理工大學人工智能國際聯(lián)合研究院,，教授

2018年12月起,，中新國際聯(lián)合研究院，人工智能研發(fā)平臺,，兼職研究員

2018年05月起,，南洋理工大學，阿里巴巴-南洋理工大學新加坡聯(lián)合研究中心,，兼職研究員

2018年05月起,，南洋理工大學，新加坡南洋理工大學及英屬哥倫比亞大學百合卓越聯(lián)合研究中心（LILY中心）,，研究員

2018年09月-2018年12月,，阿里巴巴集團，ICBU國際戰(zhàn)略技術部,，訪問學者

2017年10月-2021年04月,，華南理工大學，軟件學院,，博士后

2014年07月-2014年11月,，百度（中國）有限公司，平臺測試部,，訪問學者

學術兼職

《Mathematics》國際學術期刊,，客座編輯: Mathematics, Special Issue "Recent Advances in Artificial Intelligence and Machine Learning"

《眾智科學國際期刊》副編輯: International Journal of Crowd Science (IJCS)

中國計算機學會協(xié)同計算專業(yè)委員會（CCF TCCC），執(zhí)行委員

濟南市軟件和信息技術服務業(yè)專家?guī)?，入庫專?/p>

魯商教育控股有限公司,，特聘專家

國際學術期刊審稿人:

IEEE Transactions on Knowledge and Data Engineering (TKDE)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

IEEE Transactions on Services Computing (TSC)

IEEE Transactions on Cybernetics (Cyber)

IEEE Transactions on Big Data (TBD)

ACM Transactions on Knowledge Discovery from Data (TKDD)

Knowledge-Based System (KBS)

Neurocomputing

國際學術會議兼職:

28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), 審稿人

The 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 審稿人

17th CCF Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2022)，審稿人

International Conference on Crowd Science and Engineering (ICCSE 2021), 程序委員會聯(lián)合主席

International Conference on Crowd Science and Engineering (ICCSE 2019), 程序委員

IEEE International Conference on Agents (ICA 2019) , 程序委員

International Conference on Ageless Aging (ICAA 2019) , 程序委員

IEEE International Conference on Agents (ICA 2019), 領域主席

發(fā)表論文

2022年

Enhancing Sequential Recommendation with Graph Contrastive Learning
Yixin Zhang, Yong Liu, Yonghui Xu*, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui*, Chunyan Miao

The 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 2022.

CK-Encoder: Enhanced Language Representation for Sentence Similarity
Tao Jiang, Fengjian Kang, Wei Guo, Wei He, Lei Liu, Xudong Lu, Yonghui Xu*, Lizhen Cui*

International Journal of Crowd Science (IJCS), 2022.

ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation
Chang'an Yi, Haotian Chen, Yonghui Xu*, Yong Liu, Lei Jiang, Haishu Tan

Knowledge-Based System (KBS), 2022.

Similarity-Aware Collaborative Learning for Patient Outcome Predcition
Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu

The 27th International Conference on Database Systems for Advanced Applications (DASFAA), 2022.

SAER: Sentiment-opinion Alignment Explainable Recommendation
Xiaoning Zong, Yong Liu, Yonghui Xu*, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui*

The 27th International Conference on Database Systems for Advanced Applications (DASFAA), 2022.

KdTNet: Medical Image Report Generation via Knowledge-driven Transformer
Yiming Cao, Lizhen Cui*, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu*

The 27th International Conference on Database Systems for Advanced Applications (DASFAA), 2022.

MVFLS: Multi-participant Vertical Federated Learning based on Secret Sharing
Haoran Shi, Yali Jiang, Han Yu, Yonghui Xu*, Lizhen Cui*

FL-AAAI, 2022.

2021年

Personalized Clinical Pathways Recommendation via Attention Based Pre-trained Model
Xijie Lin, Yuan Li, Yonghui Xu*, Wei Guo, Wei He*,Honglu Zhang, Lizhen Cui*,Chunyan Miao

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021.

Regional Covid-19 epidemic prediction based on multi-modal information fusion
Honglu Zhang, Yonghui Xu*, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui*, Chunyan Miao

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021.

Heterogeneous Star Graph Attention Network for Product Attributes Prediction
Xuejiao Zhao, Yong Liu*, Yonghui Xu*, Yonghua Yang, Xusheng Luo, Chunyan Miao

Advanced Engineering Informatics (AEI), 2021.

Credit Default Prediction via Explainable Ensemble Learning
Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu* and Lizhen Cui*

Proceedings of the 4th International Conference on Crowd Science and Engineering

Music Rhythm Matching Based on Dynamic Step Frequency
Youyang Du, Chi Zhang, Escoffier Wang, Yunsen Tang, Yonghui Xu* and Lizhen Cui*

Proceedings of the 4th International Conference on Crowd Science and Engineering

A Serious Mobile Game for Neurodegenerative Diseases Evaluation
Huiguo Zhang*, Yonghui Xu, Jun Lin, Weiming Li and Zhiqi Shen

Proceedings of the 4th International Conference on Crowd Science and Engineering

Task-oriented Dynamic Knowledge Graph Embedding by Incorporating Temporal Smoothness
Yonghui Xu, Shengjie Sun, Huiguo Zhang, Chang’an Yi, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Huaqing Min, Chunyan Miao*, Hengjie Song*

ACM Transactions on Knowledge Discovery from Data (TKDD), 2021.

A Parkinson's Disease Risk Estimation Method Based on Somatosensory Parkour Mobile Game
Huiguo Zhang*, Yonghui Xu, Jun Lin, Weiming Li and Zhiqi Shen,

IJCAI-AIF, 2021.

Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks
Xiaofang Sun, Xiangwei Zheng*, Yonghui Xu*, Lizhen Cui, Bin Hu,

IJCAI-AIF, 2021, Best application paper.

Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Yu, Juyong Zhang,

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.

Adaptive Power Iteration Clustering
Bo Liu, Yong Liu*, Huiyan Zhang, Yonghui Xu, Can Tang, Lianggui Tang, Huafeng Qin,

Knowledge-Based System (KBS),2021.

Improved NSGA-II for the minimum constraint removal problem
Bo Xu, Feng Zhou, Yonghui Xu, Haoran Xu, Kewen Xu

International Journal of Embedded Systems (IJES). 14(1): 27-35 (2021)

2020年

Kernel-Target Alignment based Non-linear Metric Learning
Yonghui Xu, Chunyan Miao*, Yong Liu, Hengjie Song*, Yi Hu, Huaqing Min,

Neurocomputing, 2020.

Multi-Component Transfer Metric Learning for Handling Unrelated Source Domain Samples
Chang'an Yi, Yonghui Xu*, Han Yu*, Yuguang Yan, Yang Liu.

Knowledge-Based System (KBS),2020.

Domain Adaptation from Public Dataset to Robotic Perception Based on Deep Neural Network
Chang’an Yi, Haotian Chen, Xiaosheng Hu, Yonghui Xu,

2020 Chinese Automation Congress (CAC), 2020

2019年

Deep Transfer Learning for Abnormality Detection
Jie Wei Kong, Yonghui Xu*, Han Yu

ICCSE 2019.

Multi-label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence
Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song*.

IEEE Access, 2019, 7, 10362-10373.

A Novel Transfer Metric Learning Approach Based on Multi-Group
Chang'an Yi, Yonghui Xu*, Bo Xu, Jingtang Zhong, Zhen Zhu, Pengshuai Yin, Huaqing Min.

2018 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2018: 2184-2189.

2018年

Multi-Instance Transfer Metric Learning by Weighted Distribution and Consistent Maximum Likelihood Estimation
Yonghui Xu*, Siyu Jiang*, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu.

Neurocomputing, 2018.

Feature Selection and Transfer Learning for Alzheimer Disease
Ke Zhou, Wenguang He, Yonghui Xu, Jie Cai.*

Applied Sciences-Basel, 2018 8(8), 1372.

2017年

A Unified Framework for Metric Transfer Learning
Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min*, Hengjie Song*.

IEEE Transactions on Knowledge & Data Engineering (TKDE), 2017, PP(29):1158 – 1171.

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources
Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao.

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017, PP(29):1494 – 1507.

Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction
Yonghui Xu, Huaqing Min, Qingyao Wu*, Hengjie Song*.

Scientific Reports, 2017, 7. (Nature子刊)

2016年

Individual Judgments Versus Consensus: Estimating Query-URL Relevance
Hengjie Song, Yonghui Xu*, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qing Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida.

ACM Transactions on the Web(TWEB), 2016, 10(1): 3.

Multi-instance multi-label distance metric learning for genome-wide protein function prediction
Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu*.

Computational biology and chemistry (APBC), 2016, 63: 30-40.

Osteoporosis Recognition Based on Similarity Metric with SVM
Ke Zhou, Jie Cai*, Yonghui Xu, Tianxiu Wu.

International Journal Bioautomation, 2016, 20(2): 253-264.

2012年

Label transfer for joint recognition and segmentation of 3D object
Yonghui Xu, Ronghua Luo, Huaqing Min.

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on. IEEE, 2012, 3: 1188-1192.

Coupled hidden semi-Markov conditional random fields based context model for semantic map building
Ronghua Luo, Huaqing Min, Yonghui Xu, Junbo Li.

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on. IEEE, 2012, 2: 785-791.

發(fā)明專利

2020年,，發(fā)明專利, 一種基于九軸傳感器的自適應踢腿狀態(tài)識別方法及其裝置,，專利號：CN202011106339.1

2020年，發(fā)明專利, 一種游戲化的帕金森癥狀等級評估方法及裝置,，專利號：CN202110016956.0

2020年,，發(fā)明專利, 一種基于八段錦的智能養(yǎng)老康復游戲系統(tǒng)和游戲方法，專利號：CN202011206876.3

2020年, 發(fā)明專利, 一種腫瘤分割裝置和分割方法，專利號：CN202011341340.2

2020年, 實用新型專利,一種腫瘤分割裝置,，專利號：CN202022756580.0

曾獲獎勵

2021年,，IJCAI'21認知和身體虛弱人工智能國際研討會，最佳應用論文獎

2018年,，廣東省計算機學會優(yōu)秀論文獎,，一等獎

2015年，廣東省計算機學會科學技術獎,，ATM智能安防系統(tǒng),，三等獎

2013年，第15屆全國機器人錦標賽,，冠軍