Feng Liu (he/him) 个人学术档案

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引用	3489	3117
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i10 指数	48	46

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Jie LU AO, FIEEE, FIFSA, FACS, Austr...Distinguished Professor, Director of Australian Artificial Intelligence Institute在 uts.edu.au 的电子邮件经过验证
Bo HanHKBU / RIKEN在 comp.hkbu.edu.hk 的电子邮件经过验证
Yiliao SongThe University of Adelaide在 adelaide.edu.au 的电子邮件经过验证
Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AI在 sydney.edu.au 的电子邮件经过验证
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyo在 k.u-tokyo.ac.jp 的电子邮件经过验证
Gang NiuRIKEN Center for Advanced Intelligence Project在 riken.jp 的电子邮件经过验证
Bo Yuan（袁博）Shenzhen Wisdom & Strategy Technology Co., Ltd.在 ieee.org 的电子邮件经过验证
Zhen FangAAII,University of Technology Sydney在 uts.edu.au 的电子邮件经过验证
Jingfeng ZhangLecturer@University of Auckland & Scientist@RIKEN AIP在 riken.jp 的电子邮件经过验证
Qizhou WangHong Kong Baptist University在 comp.hkbu.edu.hk 的电子邮件经过验证
Sharon Yixuan LiUniversity of Wisconsin-Madison在 cs.wisc.edu 的电子邮件经过验证
Ruize GaoNational University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
Danica J. SutherlandUniversity of British Columbia + Amii在 cs.ubc.ca 的电子邮件经过验证
Wenkai XuPostdoc, Foundations of Machine Learning Systems group, Tuebingen AI Center在 uni-tuebingen.de 的电子邮件经过验证
Chen GongProfessor@Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证
Arthur GrettonGatsby Computational Neuroscience Unit and Google Deepmind在 gatsby.ucl.ac.uk 的电子邮件经过验证
Mingyuan ZhouAssociate Professor, University of Texas at Austin在 mccombs.utexas.edu 的电子邮件经过验证
Alan PorterDirector, R&D, Search Technology, Inc., and Professor Emeritus, Georgia Tech在 searchtech.com 的电子邮件经过验证
Yi ZhangUniversity of Technology Sydney在 uts.edu.au 的电子邮件经过验证
Xilie XuNational University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证

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Feng Liu (he/him)

其他姓名刘峰

Lecturer, University of Melbourne / Visiting Scientist, RIKEN-AIP / Visiting Fellow, UTS-AAII

在 unimelb.edu.au 的电子邮件经过验证 - 首页

Machine Learning Hypothesis Testing Deep Kernel


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A multi-step wind-speed forecasting model based on WRF ensembles and fuzzy systems J Zhao, ZH Guo, ZY Su, ZY Zhao, X Xiao, F Liu* Applied Energy 162, 808-826, 2016	281*	2016
Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models J Wang, Y Song*, F Liu, R Hou Renewable and Sustainable Energy Reviews 60, 960-981, 2016	251	2016
Open Set Domain Adaptation: Theoretical Bound and Algorithm Z Fang, J Lu*, F Liu, J Xuan, G Zhang IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021	190	2021
Learning Deep Kernels for Non-Parametric Two-Sample Tests F Liu, W Xu, J Lu, G Zhang, A Gretton, DJ Sutherland ICML 2020, 2020	184	2020
Heterogeneous domain adaptation: An unsupervised approach F Liu, G Zhang, J Lu* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020	161	2020
A cross-domain recommender system with consistent information transfer Q Zhang, D Wu, J Lu*, F Liu, G Zhang Decision Support Systems (DSS) 104, 49-63, 2017	135	2017
Accumulating regional density dissimilarity for concept drift detection in data streams A Liu, J Lu*, F Liu, G Zhang Pattern Recognition (PR) 76, 256-272, 2018	131	2018
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding Y Zhang, J Lu, F Liu, Q Liu, A Porter, H Chen*, G Zhang Journal of Informetrics (JOI) 12 (4), 1099-1117, 2018	122	2018
A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting P Jiang, F Liu*, Y Song Energy 119, 694-709, 2017	121	2017
Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities of China using hybrid models S Qin, F Liu*, J Wang, B Sun Atmospheric environment 98, 665-675, 2014	115	2014
Is Out-of-Distribution Detection Learnable? Z Fang, Y Li, J Lu, J Dong, B Han, F Liu NeurIPS 2022 (oral, outstanding paper award), 2022	114	2022
Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks F Liu, G Zhang, J Lu* IEEE Transactions on Fuzzy Systems (TFS), 2021	106	2021
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation L Zhong, Z Fang, F Liu, B Yuan, G Zhang, J Lu* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021	101	2021
A dynamic-choice neural network for electricity price forecasting J Wang, F Liu*, Y Song, J Zhao Applied Soft Computing 48, 281-297, 2016	99*	2016
Learning from a Complementary-label Source Domain: Theory and Algorithms Y Zhang, F Liu, Z Fang, B Yuan, G Zhang, J Lu* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021	90	2021
The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region Y Song, S Qin*, J Qu, F Liu Atmospheric Environment 118, 58-69, 2015	89	2015
Development of a hybrid model to predict construction and demolition waste: China as a case study Y Song, Y Wang*, F Liu, Y Zhang Waste management 59, 350-361, 2017	88	2017
Interval forecasts of a novel hybrid model for wind speeds S Qin, F Liu*, J Wang, Y Song Energy Reports 1, 8-16, 2015	74*	2015
Unsupervised heterogeneous domain adaptation via shared fuzzy equivalence relations F Liu, J Lu, G Zhang* IEEE Transactions on Fuzzy Systems (TFS) 26 (6), 3555-3568, 2018	72	2018
Maximum mean discrepancy test is aware of adversarial attacks R Gao, F Liu, J Zhang, B Han, T Liu, G Niu, M Sugiyama ICML 2021, 2021	66*	2021

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