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Yang Liu 0018
Person information

- affiliation: University of California, Santa Cruz, CA, USA
- affiliation (former): Harvard University, Cambridge, MA, USA
- affiliation (PhD 2015): University of Michigan, Department of EECS, Ann Arbor, MI, USA
Other persons with the same name
- Yang Liu — disambiguation page
- Yang Liu 0001 — Ritsumeikan University, Department of Electronic and Computer Engineering, Kusatsu, Japan
- Yang Liu 0002 — University of Texas-Pan American, Edinburg, TX, USA
- Yang Liu 0003
— Nanyang Technological University, School of Computer Engineering, Singapore (and 1 more)
- Yang Liu 0004 — Amazon Alexa AI, Sunnyvale, CA, USA (and 3 more)
- Yang Liu 0005
— Tsinghua University, Department of Computer Science and Technology, China (and 1 more)
- Yang Liu 0006
— Harbin Institute of Technology, School of Computer Science and Technology / School of Life Science and Technology, China
- Yang Liu 0007
— Hong Kong Baptist University, Department of Computer Science / Institute of Research and Continuing Education, Hong Kong (and 3 more)
- Yang Liu 0008
— Wilfrid Laurier University, Waterloo, Canada (and 2 more)
- Yang Liu 0009 — University of Amsterdam, Intelligent Systems Laboratory, Amsterdam, The Netherlands (and 1 more)
- Yang Liu 0010
— Sichuan University, China (and 1 more)
- Yang Liu 0011
— Northeastern University, School of Business Administration, Shenyang, China
- Yang Liu 0012 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Yang Liu 0013 — NVIDIA (and 1 more)
- Yang Liu 0014
— Microsoft Research Asia, Beijing, China (and 2 more)
- Yang Liu 0015 — The University of Hong Kong
- Yang Liu 0016 — LSI Corporation (and 1 more)
- Yang Liu 0017
— Dalian University of Technology, School of Information and Communication Engineering, China (and 4 more)
- Yang Liu 0019 — University of Michigan, School of Information, Ann Arbor, MI, USA
- Yang Liu 0020
— Imperial College London, Department of Electrical and Electronic Engineering, London, UK (and 1 more)
- Yang Liu 0021 — Chinese Academy of Sciences, National Lab of Pattern Recognition, District Beijing, China
- Yang Liu 0022 — Huawei Technologies
- Yang Liu 0023 — Sigma-Aldrich (and 1 more)
- Yang Liu 0024
— Beijing University of Posts and Telecommunications, School of Electronic Engineering, China (and 2 more)
- Yang Liu 0025 — Zhejiang University of Science and Technology, China
- Yang Liu 0026 — Lawrence Livermore National Laboratory, Livermore, CA, USA (and 1 more)
- Yang Liu 0027
— University of Cambridge, Faculty of Philosophy, UK (and 1 more)
- Yang Liu 0028 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Yang Liu 0029 (aka: Yang Jerry Liu) — University of York, UK
- Yang Liu 0030 — Harvard Medical School, Boston, MA, USA (and 2 more)
- Yang Liu 0031 — Purdue University, West Lafayette, IN, USA
- Yang Liu 0032
— Hong Kong Polytechnic University, Department of Mechanical Engineering, Hong Kong (and 1 more)
- Yang Liu 0033
— Inner Mongolia University, School of Mathematical Sciences, Hohhot, China
- Yang Liu 0034
— University of Vaasa, Department of Production, Finland
- Yang Liu 0035
— The First Aeronautical College of Air Force, Xinyang, China (and 1 more)
- Yang Liu 0036
— University of Exeter, College of Engineering Mathematics and Physical Sciences, UK (and 3 more)
- Yang Liu 0037
— Emory University, Department of Environmental Health, Atlanta, GA, USA
- Yang Liu 0038
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (and 2 more)
- Yang Liu 0039
— Harbin Institute of Technology, Shenzhen, China (and 1 more)
- Yang Liu 0040
— Zhejiang Normal University, College of Mathematics, Physics and Information Engineering, Jinhua, China (and 1 more)
- Yang Liu 0041
— Harbin Institute of Technology, School of Transportation Science and Engineering, China
- Yang Liu 0042
— University of Pittsburgh, PA, USA
- Yang Liu 0043 — Duke University, Durham, NC, USA
- Yang Liu 0044 — University of California, San Diego, CA, USA
- Yang Liu 0045
— Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Network, China (and 3 more)
- Yang Liu 0046
— New Jersey Institute of Technology, Department of Information Systems, Newark, NJ, USA
- Yang Liu 0047
— Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, China (and 1 more)
- Yang Liu 0048
— Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
- Yang Liu 0049 — Auckland University of Technology, New Zealand
- Yang Liu 0050
— Zhengzhou University, School of Information Engineering, China (and 2 more)
- Yang Liu 0051 — George Mason University, USA
- Yang Liu 0052 — Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan
- Yang Liu 0053 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Yang Liu 0054
— Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Yang Liu 0055
— Henan University, College of Computer Science and Information Engineering, Kaifeng, China
- Yang Liu 0056
— Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, Urumqi, China
- Yang Liu 0057
— University of Massachusetts Dartmouth, Electrical and Computer Engineering Department, MA, USA
- Yang Liu 0058
— Jilin University, Symbol Computation and Knowledge Engineer of Ministry of Education, Changchun, China
- Yang Liu 0059
— PLA Navy General Hospital, Center of Otolaryngology, Beijing, China
- Yang Liu 0060
— University of Exeter, Department of Computer Science, UK (and 1 more)
- Yang Liu 0061
— Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China
- Yang Liu 0062
— University of Electronic Science and Technology of China, The State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China (and 1 more)
- Yang Liu 0063
— Inner Mongolia University, College of Electronic Information Engineering, Hohhot, China (and 2 more)
- Yang Liu 0064
— Carnegie Mellon University, Pittsburgh, PA, USA (and 1 more)
- Yang Liu 0065
— Jiangnan University, School of IoT Engineering, Wuxi, China (and 1 more)
- Yang Liu 0066
— Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Yang Liu 0067 — University of South Florida, Department of Electrical Engineering, Tampa, FL, USA
- Yang Liu 0068 — University of Science and Technology Liaoning, School of Computer Science and Engineering, China
- Yang Liu 0069
— Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Yang Liu 0070 — Jiangnan University, School of Science, Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Wuxi, China
- Yang Liu 0071
— North China University of Water Resources and Electric Power, School of Information Engineering, Zhengzhou, China
- Yang Liu 0072
— University of Houston, Department of Biomedical Engineering, TX, USA
- Yang Liu 0074
— Northeast Petroleum University, School of Petroleum Engineering, Daqing, China
- Yang Liu 0075
— Harbin Institute of Technology, Department of Control Science and Engineering, China
- Yang Liu 0076
— South China University of Technology, School of Electric Power Engineering, Guangzhou, China
- Yang Liu 0077
— Qindao University of Science and Technology, School of Automation and Electronic Engineering, China (and 4 more)
- Yang Liu 0078
— Changchun University of Science and Technology, School of Optoelectronic Engineering, China
- Yang Liu 0079
— Northeast Petroleum University, MOE, Key Lab for Enhancing the Oil and Gas Recovery Ratio, Daqing, China
- Yang Liu 0081 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Yang Liu 0082 — Huazhong University of Science and Technology, School of Computer Science and Technology, Services Computing Technology and System Laboratory / Cluster and Grid Computing Laboratory, Wuhan, China
- Yang Liu 0083 — Hebei North University, School of Information Science and Engineering, Zhangjiakou, China
- Yang Liu 0084
— Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 1 more)
- Yang Liu 0085 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Yang Liu 0086
— China Medical University, School of Public Health, Shenyang, China
- Yang Liu 0087
— China Aerodynamics Research and Development Center, Computational Aerodynamics Institute, Mianyang, China (and 1 more)
- Yang Liu 0088
— Beihang University, School of Computer Science and Engineering, State Key Lab of Software Development Environment, Beijing, China
- Yang Liu 0089 — Harbin Institute of Technology, School of Computer Science and Technology, Center for Social Computing and Information Retrieval, China
- Yang Liu 0090
— Xi'an Jiaotong University, School of Electronic and Information Engineering, MOE KLINNS, China (and 1 more)
- Yang Liu 0091 — Xidian University, Electronic and Engineering Institute, Xi'an, China
- Yang Liu 0092 — Nanjing Agricultural University, College of Information Science and Technology, China
- Yang Liu 0093 — Fourth Military Medical University, School of Biomedical Engineering, Xi'an, China
- Yang Liu 0094
— Northwestern Polytechnical University, School of Automation, Xi'an, China
- Yang Liu 0095
— Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Yang Liu 0096
— Beihang University, School of Automation Science and Electrical Engineering / The Seventh Research Division, Beijing, China
- Yang Liu 0097 — University of Illinois at Urbana-Champaign, Department of Computer Science, Champaign, IL, USA
- Yang Liu 0098 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Yang Liu 0099
— Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China (and 1 more)
- Yang Liu 0100 — Hong Kong Baptist University, Department of Mathematics, Centre for Mathematical Imaging and Vision, Hong Kong
- Yang Liu 0101
— City University of Hong Kong, Department of Computer Science, Hong Kong
- Yang Liu 0103
— Harbin University of Science and Technology, School of Material Science and Engineering, China (and 2 more)
- Yang Liu 0104
— Fudan University, Software School, Shanghai, China
- Yang Liu 0105
— University of Oxford, UK (and 1 more)
- Yang Liu 0106
— Xidian University, School of Microelectronics, Shaanxi Key Lab. of Integrated Circuits and Systems, Xi'an, China
- Yang Liu 0107 — Samsung R&D Institute of China, Beijing, China (and 1 more)
- Yang Liu 0108 — Sichuan University, School of Electrical Engineering and Information, Chengdu, China
- Yang Liu 0109 — Oklahoma State University, School of Civil and Environmental Engineering, Stillwater, OK, USA
- Yang Liu 0110
— Beihang University, School of Instrumentation and Opto-Electronic Engineering, Beijing, China (and 1 more)
- Yang Liu 0111
— China University of Mining and Technology, School of Mines, Xuzhou, China
- Yang Liu 0113
— Zhejiang University, School of Management, Hangzhou, China
- Yang Liu 0114
— University of Illinois at Chicago, IL, USA
- Yang Liu 0115
— Carnegie Mellon University, Department of Engineering and Public Policy, Pittsburgh, PA, USA (and 1 more)
- Yang Liu 0116
— Xidian University, School of Computer Science and Technology, Xi'an, China
- Yang Liu 0117
— University of Science and Technology of China, School of Management, Hefei, China
- Yang Liu 0118
— Xidian University, School of Cyber Engineering, Xi'an, China
- Yang Liu 0119
— Chinese University of Hong Kong (and 1 more)
- Yang Liu 0120
— Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Yang Liu 0121
— North China Electric Power University, School of Nuclear Science and Engineering, Beijing, China
- Yang Liu 0122
— University of Alabama, Tuscaloosa, AL, USA
- Yang Liu 0123 — Inner Mongolia University of Science and Technology, Key Laboratory of Pattern Recognition and Intelligent Image Processing, Baotou, China
- Yang Liu 0124 — Microsoft Cognitive Services Research, Redmond, WA, USA (and 2 more)
- Yang Liu 0125 — Australian National University, Research School of Engineering, Canberra, Australia
- Yang Liu 0126 — Chiba University, Department of Engineering, Chiba, Japan
- Yang Liu 0127 — Wuhan University, School of Geodesy and Geomatics, Wuhan, China
- Yang Liu 0128 — University of Minnesota, School of Mathematics, Minneapolis, MN, USA
- Yang Liu 0129 — North Carolina State University, Raleigh, NC, USA
- Yang Liu 0130
— University of the Chinese Academy of Sciences, School of Engineering Sciences, Beijing, China (and 3 more)
- Yang Liu 0131 — Michigan State University, Department of Mathematics, East Lansing, MI, USA
- Yang Liu 0132
— Beijing University of Posts and Telecommunications, School of Digital Multimedia and Design Arts, Beijing, China (and 1 more)
- Yang Liu 0133 — Beijing University of Posts and Telecommunications, Department of Information Security, Beijing, China (and 1 more)
- Yang Liu 0135
— Nanjing University of Finance and Economics, College of Information Engineering, China
- Yang Liu 0136
— University of Washington, Seattle, WA, USA
- Yang Liu 0137
— First Institute of Oceanography, Qingdao, China
- Yang Liu 0138
— University of Hong Kong, Department of Electrical and Electronic Engineering
- Yang Liu 0139 — University of Sheffield, Department of Electronic and Electrical Engineering, UK
- Yang Liu 0140
— South China University of Technology, School of Electronics and Information Engineering, Wushan, China
- Yang Liu 0141
— Harbin Institute of Technology (HIT), Harbin, China
- Yang Liu 0142 — Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
- Yang Liu 0143
— China University of Petroleum-Beijing, State Key Laboratory of Petroleum Resources and Prospecting, China
- Yang Liu 0144
— Potsdam Institute for Climate Impact Research, Potsdam Institute for Climate Impact Research, Germany (and 1 more)
- Yang Liu 0145
— Chinese Academy of Sciences, Institute of Mechanics, State Key Laboratory of High Temperature Gas Dynamics, Beijing, China
- Yang Liu 0146
— Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, MA, USA (and 1 more)
- Yang Liu 0147
— National University of Defense Technology, College of Artificial Intelligence, Changsha, China
- Yang Liu 0148
— Jiangsu University, Department of Automotive and Traffic Engineering, Zhenjiang, China
- Yang Liu 0149
— Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China (and 1 more)
- Yang Liu 0150
— Technical University of Madrid, Department of Industrial Engineering, Business Administration and Statistics, Spain
- Yang Liu 0151
— Xi'an JiaoTong University, School of Management, China
- Yang Liu 0152
— Shanghai Jiao Tong University, School of Oceanography, China
- Yang Liu 0153
— Institute of Applied Physics and Computational Mathematics, Beijing, China (and 2 more)
- Yang Liu 0154
— Beijing Jiaotong University, National Active Distribution Network Technology Research Center, China
- Yang Liu 0155 — Alibaba Group, Hangzhou, China (and 2 more)
- Yang Liu 0156
— Xi'an University of Science and Technology, College of Geomatics, Xi'an, China
- Yang Liu 0157
— Chongqing Medical University, Stomatological Hospital, Orthodontic Department, Chongqing, China
- Yang Liu 0158
— Harbin University of Commerce, School of Computer and Information Engineering, Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin, China
- Yang Liu 0159
— China JIKAN Research Institute of Engineering Investigations and Design, Xi'an, China
- Yang Liu 0160
— Shenyang University of Technology, School of Electrical Engineering, Shenyang, China (and 1 more)
- Yang Liu 0161
— Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Yang Liu 0162
— Florida State University, Department of Mathematics, Tallahassee, FL, USA
- Yang Liu 0163
— State Grid Jiangsu Electric Power Company, Research Institute, Nanjing, China
- Yang Liu 0164
— University of Electronic Science and Technology of China, Chengdu, China
- Yang Liu 0165
— Tsinghua University, Institute for AI Industry Research, Beijing, China (and 2 more)
- Yang Liu 0166
— JD Intelligent Cities Research, Beijing, China (and 1 more)
- Yang Liu 0167 — Beijing University of Civil Engineering and Architecture, School of Geomatics and Urban Information, Beijing, China
- Yang Liu 0168 — Henan University of Technology, College of Information Science and Engineering, Zhengzhou, China
- Yang Liu 0169
— University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China
- Yang Liu 0170
— Jilin University, College of Computer Science and Technology, Changchun, China
- Yang Liu 0171
— China Academy of Information and Communications Technology, Research Institute of Industrial Internet of Things, Beijing, China
- Yang Liu 0172
— Jiangsu University of Science and Technology, School of Electronics and Information, Zhenjiang, China
- Yang Liu 0173
— Beihang University, School of Aeronautic Science and Engineering, Beijing, China
- Yang Liu 0174
— Henan University of Science and Technology, School of Information Engineering, Luoyang, China
- Yang Liu 0175
— Zoom (and 1 more)
- Yang Liu 0176
— Chongqing University, School of Automotive Engineering, China
- Yang Liu 0177
— Uber Technologies Inc, San Francisco, CA, USA (and 1 more)
- Yang Liu 0178 — Elenion Technologies, New York, NY, USA (and 1 more)
- Yang Liu 0179
— Lawrence Berkeley National Laboratory, Computational Research Division, CA, USA
- Yang Liu 0181
— National Digital Switching System Engineering and Technological R&D Center, Zhengzhou, China
- Yang Liu 0182
— South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- Yang Liu 0183
— Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China
- Yang Liu 0184
— Xi'an Polytechnic University, School of Urban Planning and Municipal Engineering, China
- Yang Liu 0185
— Sichuan University, West China Hospital of Stomatology, National Clinical Research Center of Oral Diseases, Chengdu, China
- Yang Liu 0186
— Albert Einstein College of Medicine, Department of Genetics, New York, NY, USA
- Yang Liu 0187
— Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun, China
- Yang Liu 0188
— Inner Mongolia Medical University, Affiliated Hospital, Department of Inspection, Hohhot, China
- Yang Liu 0189
— Huazhong University of Science and Technology, School of Automation / Guangdong HUST Industrial Technology Research Institute, Wuhan, China
- Yang Liu 0190
— Shenyang University of Technology, School of Information Science and Engineering, Computer Vision Group, China
- Yang Liu 0191
— China University of Mining and Technology (Beijing), School of Mechanical Electronic and Information Engineering, China (and 1 more)
- Yang Liu 0192
— University of Tennessee, Knoxville, TN, USA
- Yang Liu 0193
— Dalian Maritime University, School of Maritime Economics and Management, China
- Yang Liu 0194
— Philips Electronics Ltd., Hong Kong (and 1 more)
- Yang Liu 0195
— Content Production Center of Virtual Reality, Beijing, China (and 1 more)
- Yang Liu 0196
— Shandong University, School of Physics, Jinan, China (and 1 more)
- Yang Liu 0197
— University of Waterloo, Department of Statistics and Actuarial Science, ON, Canada (and 1 more)
- Yang Liu 0198
— Shandong University of Science and Technology, College of Geomatics, Qingdao, China (and 1 more)
- Yang Liu 0199
— Shenzhen Technology University, Medical Device Innovation Center, China (and 1 more)
- Yang Liu 0200
— Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China (and 1 more)
- Yang Liu 0201 — Argonne National Laboratory, Nuclear Science and Engineering Division, USA
- Yang Liu 0202 — Virginia Tech, Department of Mechanical Engineering, USA
- Yang Liu 0203
— Northeastern University, College of Information Science and Engineering, Shenyang, China
- Yang Liu 0204
— Shenyang Jianzhu University, International School, China
- Yang Liu 0205
— University of Texas at Austin, Walker Department of Mechanical Engineering, TX, USA
- Yang Liu 0206
— Queen Mary University of London, School of EECS, Bayesian Artificial Intelligence Research Lab, UK
- Yang Liu 0207
— China Agricultural University, Beijing, China (and 1 more)
- Yang Liu 0208 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Yang Liu 0209
— Shanghai Dianji University, College of Electrical Engineering, China
- Yang Liu 0210
— North University of China, Key Laboratory of Instrumentation Science and Dynamic Measurement, Taiyuan, China
- Yang Liu 0211
— Henan University of Economics and Law, Modern Educational Technology Center, Zhengzhou, China (and 1 more)
- Yang Liu 0212 — Zhejiang University, College of Computer Science, Hangzhou, China
- Yang Liu 0213
— Georgetown University, Washington, DC, USA
- Yang Liu 0214
— East Carolina University, Greenville, NC, USA (and 1 more)
- Yang Liu 0215
— Beijing Institute of Technology, School of Information and Electronics, China
- Yang Liu 0216
(aka: Yang S. Liu) — University of Alberta, Department of Psychiatry, Edmonton, AB, Canada
- Yang Liu 0217
— Shandong University, School of Management, Jinan, China
- Yang Liu 0218
— North Carolina Agricultural and Technical State University, Department of Computer Science, Greensboro, NC, USA
- Yang Liu 0220
— Nanyang Technological University, School of Mechanical and Aerospace Engineering, SMRT-NTU Smart Urban Rail Corporate Laboratory, Singapore
- Yang Liu 0221
— Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries / College of Information Science and Engineering, Shenyang, China (and 2 more)
- Yang Liu 0222
— Harbin Institute of Technology, State Key Laboratory of Robotics and System / School of Mechatronics Engineering, Nangang, China
- Yang Liu 0223
— University of Science and Technology Beijing, Department of Mechanical Engineering, China (and 2 more)
- Yang Liu 0224
— Mayo Clinic Rochester, MN, USA (and 1 more)
- Yang Liu 0225
— Chinese Academy of Sciences, Institute of Automation, State Key Laboratory for Control and Management of Complex Systems, Beijing, China
- Yang Liu 0226
— Nanjing Institute of Technology, China (and 2 more)
- Yang Liu 0227
— Shihezi University, College of Information Science and Technology, China
- Yang Liu 0228
— Tsinghua University, Department of Mathematical Sciences, Beijing, China
- Yang Liu 0229
— Sun Yat-Sen University, School of Physics and Astronomy, Zhuhai, China (and 1 more)
- Yang Liu 0230
— Guangxi University, Computer and Electronic Information, Nanning, China
- Yang Liu 0231
— Dalian Maritime University, School of Maritime Economics and Management, China (and 2 more)
- Yang Liu 0233
— Shandong University, School of Mathematics, Jinan, China
- Yang Liu 0234
— Xiangtan University, School of Mathematics and Computational Science, China
- Yang Liu 0235
— Beijing Jiaotong University, Institute of Information Science, China
- Yang Liu 0236
— Sichuan University, College of Life Sciences, Chengdu, China
- Yang Liu 0237
— Sichuan Normal University, School of Mathematical Sciences, Chengdu, China
- Yang Liu 0238
— Guangzhou Urban Planning and Design Survey Research Institute, Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, China (and 1 more)
- Yang Liu 0239
— Wuhan University of Science and Technology, School of Resource and Environmental Engineering, Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, China
- Yang Liu 0240
— Lanzhou Jiaotong University, School of Automation and Electrical Engineering, China
- Yang Liu 0241
— Chongqing University, School of Electrical Engineering, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Yang Liu 0242
— University of Cambridge, MRC Biostatistics Unit, UK
- Yang Liu 0243
— Xi'an University of Science and Technology, School of Management, China
- Yang Liu 0244 — Loughborough University, Department of Aeronautical and Automotive Engineering, UK (and 1 more)
- Yang Liu 0245
— Sun Yat-sen University, Guangzhou, China
- Yang Liu 0246
— Fudan University, Academy for Engineering and Technology, Shanghai, China
- Yang Liu 0247 — Chongqing Jiaotong University, School of Information Science and Engineering, Chongqing, China
- Yang Liu 0248 — Chongqing University, College of Mathematics and Statistics, Chongqing, China
- Yang Liu 0249 — Australian National University, Research School of Computer Science, Canberra, Australia (and 1 more)
- Yang Liu 0250 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Yang Liu 0251
— Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs, Information Technology Research Center, China
- Yang Liu 0252 — China Telecom Research Institute, 6G Research Center, Beijing, China
- Yang Liu 0253
— Southeast University, School of Transportation, Nanjing, China
- Yang Liu 0254 — University of Helsinki, Finland
- Yang Liu 0255 — Inner Mongolia University, College of Electronic Information Engineering, Hohhot, China
- Yang Liu 0256
— ScaleFlux, Milpitas, USA
- Yang Liu 0257 — University of Oxford, Visual Geometry Group, UK
- Yang Liu 0258 — Chinese University of Hong Kong, Shenzhen Research Institute of Big Data
- Yang Liu 0259 — National University of Defense Technology, Changsha, China
- Yang Liu 0260
— Dalian University of Technology, School of Control Science and Engineering, Dalian, China
- Yang Liu 0261
— Wuhan University, School of Economics and Management, ZhongNan Hospital, China
- Yang Liu 0262
— Qingdao University of Science and Technology, School of Information Science and Technology, China
- Yang Liu 0263
— Shanghai University, China (and 1 more)
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2020 – today
- 2023
- [j13]Tianyi Luo
, Yang Liu:
Machine truth serum: a surprisingly popular approach to improving ensemble methods. Mach. Learn. 112(3): 789-815 (2023) - [j12]Shuo Yang
, Songhua Wu
, Erkun Yang
, Bo Han
, Yang Liu
, Min Xu
, Gang Niu
, Tongliang Liu
:
A Parametrical Model for Instance-Dependent Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14055-14068 (2023) - [c83]Ian Hardy
, Jayanth Yetukuri
, Yang Liu
:
Adaptive Adversarial Training Does Not Increase Recourse Costs. AIES 2023: 432-442 - [c82]Jayanth Yetukuri
, Ian Hardy
, Yang Liu
:
Towards User Guided Actionable Recourse. AIES 2023: 742-751 - [c81]Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu:
To Aggregate or Not? Learning with Separate Noisy Labels. CSW@WSDM 2023: 8-43 - [c80]Andrew Estornell
, Sanmay Das
, Yang Liu
, Yevgeniy Vorobeychik
:
Group-Fair Classification with Strategic Agents. FAccT 2023: 389-399 - [c79]Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu:
Mitigating Memorization of Noisy Labels via Regularization between Representations. ICLR 2023 - [c78]Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar:
Distributionally Robust Post-hoc Classifiers under Prior Shifts. ICLR 2023 - [c77]Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu:
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. ICML 2023: 43258-43288 - [c76]Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Incentivizing Recourse through Auditing in Strategic Classification. IJCAI 2023: 400-408 - [c75]Jiaheng Wei
, Zhaowei Zhu
, Tianyi Luo
, Ehsan Amid
, Abhishek Kumar
, Yang Liu
:
To Aggregate or Not? Learning with Separate Noisy Labels. KDD 2023: 2523-2535 - [c74]Dmitry Ustalov
, Saiph Savage
, Niels van Berkel
, Yang Liu
:
4th Crowd Science Workshop - CANDLE: Collaboration of Humans and Learning Algorithms for Data Labeling. WSDM 2023: 1268 - [i58]Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu:
Fairness Improves Learning from Noisily Labeled Long-Tailed Data. CoRR abs/2303.12291 (2023) - [i57]Minghao Liu, Jiaheng Wei, Yang Liu, James Davis:
Do humans and machines have the same eyes? Human-machine perceptual differences on image classification. CoRR abs/2304.08733 (2023) - [i56]Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu:
Long-Term Fairness with Unknown Dynamics. CoRR abs/2304.09362 (2023) - [i55]Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu:
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. CoRR abs/2305.05090 (2023) - 2022
- [j11]Yang Liu
, Juntao Wang
, Yiling Chen
:
Surrogate Scoring Rules. ACM Trans. Economics and Comput. 10(3): 12:1-12:36 (2022) - [c73]Jialu Wang, Yang Liu, Xin Eric Wang:
Assessing Multilingual Fairness in Pre-trained Multimodal Representations. ACL (Findings) 2022: 2681-2695 - [c72]Tianyi Luo, Rui Meng, Xin Wang, Yang Liu:
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking. ACL (Findings) 2022: 3864-3876 - [c71]Jayanth Yetukuri, Yang Liu:
Robust Stochastic Bandit algorithms to defend against Oracle attack using Sample Dropout. IEEE Big Data 2022: 5845-5854 - [c70]Masashi Sugiyama, Tongliang Liu
, Bo Han, Yang Liu, Gang Niu:
Learning and Mining with Noisy Labels. CIKM 2022: 5152-5155 - [c69]Songhua Wu, Mingming Gong, Bo Han, Yang Liu, Tongliang Liu:
Fair Classification with Instance-dependent Label Noise. CLeaR 2022: 927-943 - [c68]Jiaheng Wei
, Minghao Liu
, Jiahao Luo
, Andrew Zhu
, James Davis
, Yang Liu
:
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training. ECCV (23) 2022: 290-317 - [c67]Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu:
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. ICLR 2022 - [c66]Zhaowei Zhu, Tianyi Luo, Yang Liu:
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. ICLR 2022 - [c65]Jialu Wang, Xin Eric Wang, Yang Liu:
Understanding Instance-Level Impact of Fairness Constraints. ICML 2022: 23114-23130 - [c64]Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, Yang Liu:
To Smooth or Not? When Label Smoothing Meets Noisy Labels. ICML 2022: 23589-23614 - [c63]Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network. ICML 2022: 25302-25312 - [c62]Zhaowei Zhu, Zihao Dong, Yang Liu:
Detecting Corrupted Labels Without Training a Model to Predict. ICML 2022: 27412-27427 - [c61]Zhaowei Zhu, Jialu Wang, Yang Liu:
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. ICML 2022: 27633-27653 - [c60]Minghao Liu, Jiahao Luo, Xiaohan Zhang, Yang Liu, James Davis:
Low-light Image Enhancement Using Chain-consistent Adversarial Networks. ICPR 2022: 713-719 - [c59]Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu:
Fairness Transferability Subject to Bounded Distribution Shift. NeurIPS 2022 - [c58]Yifan Yang, Yang Liu, Parinaz Naghizadeh:
Adaptive Data Debiasing through Bounded Exploration. NeurIPS 2022 - [i54]Zhaowei Zhu, Jialu Wang, Yang Liu:
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. CoRR abs/2202.01273 (2022) - [i53]Tianyi Luo, Rui Meng, Xin Eric Wang, Yang Liu:
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking. CoRR abs/2203.14474 (2022) - [i52]Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu:
Fairness Transferability Subject to Bounded Distribution Shift. CoRR abs/2206.00129 (2022) - [i51]Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu:
To Aggregate or Not? Learning with Separate Noisy Labels. CoRR abs/2206.07181 (2022) - [i50]Jialu Wang, Xin Eric Wang, Yang Liu:
Understanding Instance-Level Impact of Fairness Constraints. CoRR abs/2206.15437 (2022) - [i49]Reilly Raab, Luca de Alfaro, Yang Liu:
Conjugate Natural Selection. CoRR abs/2208.13898 (2022) - [i48]Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li:
Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. CoRR abs/2210.03175 (2022) - 2021
- [j10]Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu:
Federated Bandit: A Gossiping Approach. Proc. ACM Meas. Anal. Comput. Syst. 5(1): 02:1-02:29 (2021) - [c57]Wei Tang, Chien-Ju Ho, Yang Liu:
Linear Models are Robust Optimal Under Strategic Behavior. AISTATS 2021: 2584-2592 - [c56]Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang:
Sample Elicitation. AISTATS 2021: 2692-2700 - [c55]Zhaowei Zhu, Tongliang Liu
, Yang Liu:
A Second-Order Approach to Learning With Instance-Dependent Label Noise. CVPR 2021: 10113-10123 - [c54]Jialu Wang, Yang Liu, Xin Eric Wang:
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search. EMNLP (1) 2021: 1995-2008 - [c53]Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. FAccT 2021: 526-536 - [c52]Juntao Wang
, Yang Liu, Yiling Chen:
Forecast Aggregation via Peer Prediction. HCOMP 2021: 131-142 - [c51]Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu:
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. ICLR 2021 - [c50]Jiaheng Wei, Yang Liu:
When Optimizing f-Divergence is Robust with Label Noise. ICLR 2021 - [c49]Zhaowei Zhu, Yiwen Song, Yang Liu:
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. ICML 2021: 12912-12923 - [c48]Yang Liu, Jialu Wang:
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. NeurIPS 2021: 17467-17479 - [c47]Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu:
Policy Learning Using Weak Supervision. NeurIPS 2021: 19960-19973 - [c46]Reilly Raab, Yang Liu:
Unintended Selection: Persistent Qualification Rate Disparities and Interventions. NeurIPS 2021: 26053-26065 - [c45]Wei Tang, Chien-Ju Ho, Yang Liu:
Bandit Learning with Delayed Impact of Actions. NeurIPS 2021: 26804-26817 - [c44]Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu:
Federated Bandit: A Gossiping Approach. SIGMETRICS (Abstracts) 2021: 3-4 - [i47]Jiaheng Wei, Minghao Liu, Jiahao Luo, Qiutong Li, James Davis, Yang Liu:
PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator. CoRR abs/2101.07524 (2021) - [i46]Zhaowei Zhu, Yiwen Song, Yang Liu:
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. CoRR abs/2102.05291 (2021) - [i45]Wei Tang, Chien-Ju Ho, Yang Liu:
Optimal Query Complexity of Secure Stochastic Convex Optimization. CoRR abs/2104.01926 (2021) - [i44]Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
Estimating Instance-dependent Label-noise Transition Matrix using DNNs. CoRR abs/2105.13001 (2021) - [i43]Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Yang Liu:
Understanding (Generalized) Label Smoothing when Learning with Noisy Labels. CoRR abs/2106.04149 (2021) - [i42]Jialu Wang, Yang Liu, Xin Eric Wang:
Assessing Multilingual Fairness in Pre-trained Multimodal Representations. CoRR abs/2106.06683 (2021) - [i41]Yang Liu, Yatong Chen, Jiaheng Wei:
Induced Domain Adaptation. CoRR abs/2107.05911 (2021) - [i40]Yang Liu, Jialu Wang:
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. CoRR abs/2107.05913 (2021) - [i39]Jialu Wang, Yang Liu, Xin Eric Wang:
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search. CoRR abs/2109.05433 (2021) - [i38]Zhaowei Zhu, Tianyi Luo, Yang Liu:
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. CoRR abs/2110.06282 (2021) - [i37]Zhaowei Zhu, Zihao Dong, Yang Liu:
A Good Representation Detects Noisy Labels. CoRR abs/2110.06283 (2021) - [i36]Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu:
Demystifying How Self-Supervised Features Improve Training from Noisy Labels. CoRR abs/2110.09022 (2021) - [i35]Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu:
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. CoRR abs/2110.12088 (2021) - [i34]Yifan Yang, Yang Liu, Parinaz Naghizadeh:
Adaptive Data Debiasing through Bounded Exploration and Fairness. CoRR abs/2110.13054 (2021) - [i33]Reilly Raab, Yang Liu:
Unintended Selection: Persistent Qualification Rate Disparities and Interventions. CoRR abs/2111.01201 (2021) - 2020
- [j9]Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic
, David C. Parkes, Yang Liu:
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations. Artif. Intell. 283: 103238 (2020) - [j8]Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar:
Distributed learning of average belief over networks using sequential observations. Autom. 115: 108857 (2020) - [c43]Jingkang Wang, Yang Liu, Bo Li:
Reinforcement Learning with Perturbed Rewards. AAAI 2020: 6202-6209 - [c42]Wei Tang, Chien-Ju Ho, Yang Liu:
Differentially Private Contextual Dynamic Pricing. AAMAS 2020: 1368-1376 - [c41]Tianyi Luo, Xingyu Li
, Hainan Wang, Yang Liu:
Research Replication Prediction Using Weakly Supervised Learning. EMNLP (Findings) 2020: 1464-1474 - [c40]Yiling Chen, Yang Liu, Chara Podimata:
Learning Strategy-Aware Linear Classifiers. NeurIPS 2020 - [c39]Wei Tang, Chien-Ju Ho, Yang Liu:
Optimal Query Complexity of Secure Stochastic Convex Optimization. NeurIPS 2020 - [c38]Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang:
How do fair decisions fare in long-term qualification? NeurIPS 2020 - [c37]Yang Liu, Juntao Wang
, Yiling Chen:
Surrogate Scoring Rules. EC 2020: 853-871 - [i32]Wei Tang, Chien-Ju Ho, Yang Liu:
Fair Bandit Learning with Delayed Impact of Actions. CoRR abs/2002.10316 (2020) - [i31]Yang Liu, Michael Gordon, Juntao Wang, Michael Bishop, Yiling Chen, Thomas Pfeiffer, Charles Twardy, Domenico Viganola:
Replication Markets: Results, Lessons, Challenges and Opportunities in AI Replication. CoRR abs/2005.04543 (2020) - [i30]Yang Liu, Jiaheng Wei:
Incentives for Federated Learning: a Hypothesis Elicitation Approach. CoRR abs/2007.10596 (2020) - [i29]Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu:
Policy Learning Using Weak Supervision. CoRR abs/2010.01748 (2020) - [i28]Hao Cheng, Zhaowei Zhu, Xingyu Li
, Yifei Gong, Xing Sun, Yang Liu:
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. CoRR abs/2010.02347 (2020) - [i27]Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang:
How Do Fair Decisions Fare in Long-term Qualification? CoRR abs/2010.11300 (2020) - [i26]Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu:
Federated Bandit: A Gossiping Approach. CoRR abs/2010.12763 (2020) - [i25]Yatong Chen, Jialu Wang, Yang Liu:
Strategic Recourse in Linear Classification. CoRR abs/2011.00355 (2020) - [i24]Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. CoRR abs/2011.00379 (2020) - [i23]Jiaheng Wei, Yang Liu:
When Optimizing f-divergence is Robust with Label Noise. CoRR abs/2011.03687 (2020) - [i22]Zhaowei Zhu, Tongliang Liu, Yang Liu:
A Second-Order Approach to Learning with Instance-Dependent Label Noise. CoRR abs/2012.11854 (2020)
2010 – 2019
- 2019
- [c36]Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Bayesian Fairness. AAAI 2019: 509-516 - [c35]Yiling Chen, Yang Liu, Juntao Wang
:
Randomized Wagering Mechanisms. AAAI 2019: 1845-1852 - [c34]Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu:
How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness. AIES 2019: 99-106 - [c33]Berk Ustun
, Alexander Spangher, Yang Liu:
Actionable Recourse in Linear Classification. FAT 2019: 10-19 - [c32]Berk Ustun, Yang Liu, David C. Parkes:
Fairness without Harm: Decoupled Classifiers with Preference Guarantees. ICML 2019: 6373-6382 - [i21]Tianyi Luo, Yang Liu:
Machine Truth Serum. CoRR abs/1909.13004 (2019) - [i20]Juntao Wang, Yang Liu, Yiling Chen:
Forecast Aggregation via Peer Prediction. CoRR abs/1910.03779 (2019) - [i19]Yiling Chen, Yang Liu, Chara Podimata:
Grinding the Space: Learning to Classify Against Strategic Agents. CoRR abs/1911.04004 (2019) - 2018
- [j7]Wenwu He
, Yang Liu:
To regularize or not: Revisiting SGD with simple algorithms and experimental studies. Expert Syst. Appl. 112: 1-14 (2018) - [c31]Yang Liu, Chien-Ju Ho:
Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning. AAAI 2018: 1146-1153 - [c30]Yang Liu, Ji Liu, Tamer Basar:
Gossip Gradient Descent. AAMAS 2018: 1995-1997 - [c29]Yang Liu, Ji Liu, Tamer Basar:
Differentially Private Gossip Gradient Descent. CDC 2018: 2777-2782 - [c28]Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. NeurIPS 2018: 5512-5522 - [c27]Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen:
Active Information Acquisition for Linear Optimization. UAI 2018: 167-176 - [c26]Chaowei Xiao, Armin Sarabi, Yang Liu, Bo Li, Mingyan Liu, Tudor Dumitras:
From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild. USENIX Security Symposium 2018: 903-918 - [i18]Yang Liu, Yiling Chen:
Surrogate Scoring Rules and a Dominant Truth Serum for Information Elicitation. CoRR abs/1802.09158 (2018) - [i17]Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. CoRR abs/1806.00206 (2018) - [i16]Yiling Chen, Yang Liu, Juntao Wang:
Randomized Wagering Mechanisms. CoRR abs/1809.04136 (2018) - [i15]Berk Ustun, Alexander Spangher, Yang Liu:
Actionable Recourse in Linear Classification. CoRR abs/1809.06514 (2018) - [i14]Jingkang Wang, Yang Liu, Bo Li:
Reinforcement Learning with Perturbed Rewards. CoRR abs/1810.01032 (2018) - [i13]Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu:
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness. CoRR abs/1811.03654 (2018) - [i12]Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar:
Distributed Learning of Average Belief Over Networks Using Sequential Observations. CoRR abs/1811.07799 (2018) - 2017
- [j6]Wenwu He, James Tin-Yau Kwok, Ji Zhu, Yang Liu:
A Note on the Unification of Adaptive Online Learning. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1178-1191 (2017) - [j5]Yang Liu
, Mingyan Liu:
An Online Learning Approach to Improving the Quality of Crowd-Sourcing. IEEE/ACM Trans. Netw. 25(4): 2166-2179 (2017) - [c25]