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ORCIDYang 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
![[0000-0001-7300-9215]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7300-9215")
— 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 — University of Hong Kong, Department of Electrical and Electronic Engineering, 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, School of Information and Electronic Engineering, Hangzhou, 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 — JD.COM, Beijing, China (and 2 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 — University of Huddersfield, UK (and 3 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 — Peking University, Wangxuan Institute of Computer Technology, Beijing, China (and 2 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 — Bytedance Inc., Shenzhen, China (and 2 more)
- 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, DAMO Academy, 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 — University of Oulu, Center for Machine Vision and Signal Analysis, Finland (and 1 more)
- 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, Nuclear Engineering Program, Blacksburg, VA, 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 0245 — Sun Yat-sen University, Guangzhou, China
- Yang Liu 0246 — University of Toronto, Department of Computer Science, Ontario, Canada (and 1 more)
- 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 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)
- Yang Liu 0264 — Sichuan University, Chengdu, China
- Yang Liu 0265 — Shanghai Maritime University, Shanghai, China
- Yang Liu 0266 — University of California, UCLA, Department of Computer Science and Statistics, Los Angeles, USA
- Yang Liu 0267 — Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
- Yang Liu 0268 — Xi'an University of Science and Technology, School of Communication and Information Engineering, China
- Yang Liu 0270 — University of Iowa, Department of Electrical and Computer Engineering, Iowa City, USA
- Yang Liu 0271 — King's College London, School of Biomedical Engineering and Imaging Sciences (BMEIS), London, UK
- Yang Liu 0272 — University of Alberta, Department of Civil and Environmental Engineering, Edmonton, AB, Canada
- Yang Liu 0273 — ReviR Therapeutics, Shenzhen, China (and 1 more)
- Yang Liu 0274 — China Construction Bank, Wuhan, China (and 1 more)
- Yang Liu 0275 — King Abdullah University of Science and Technology, Division of Physical Science and Engineering, Thuwal, Saudi Arabia
- Yang Liu 0276 — Beijing Academy of Science and Technology, China (and 1 more)
- Yang Liu 0277 — King Abdullah University of Science and Technology, Visual Computing Center, Thuwal, Saudi Arabia
- Yang Liu 0278 — University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- Yang Liu 0279 — Hong Kong Polytechnic University, Department of Management and Marketing, Hong Kong (and 2 more)
- Yang Liu 0280 — London School of Hygiene & Tropical Medicine, UK (and 1 more)
- Yang Liu 0281 — Hunan University of Science and Technology, School of Resources Environment and Safety Engineering, Xiangtan, China
- Yang Liu 0282 — Tianjin Normal University, College of Computer and Information Engineering, China
- Yang Liu 0283 (aka: Kurt Yang Liu) — Aston University, Birmingham, UK (and 3 more)
- Yang Liu 0284 — Chongqing University of Education, School of Teacher Development, China
- Yang Liu 0285 — Huazhong Agricultural University, College of Informatics, Wuhan, China
- Yang Liu 0286 — Hunan University of Technology and Business, China
- Yang Liu 0287 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Yang Liu 0288 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Yang Liu 0289 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Yang Liu 0290 — Syracuse University, Department of Electrical Engineering and Computer Science, NY, USA
- Yang Liu 0291 — Beihang University, Beijing Advanced Innovation Center for Big Data and Brain Computing, School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control, Beijing, China
- Yang Liu 0292 — Facebook Inc., Menlo Park, CA, USA (and 1 more)
- Yang Liu 0293 — Sany Heavy Industry Company Ltd., Beijing, China (and 1 more)
- Yang Liu 0294 — Shanghai Jiao Tong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration, China
- Yang Liu 0295 — Sun Yat-sen University, School of Aeronautics and Astronautics, Shenzhen, China
- Yang Liu 0296 — Chinese Academy of Sciences, Shenyang Institute of Automation, Key Laboratory of Networked Control Systems, China (and 1 more)
- Yang Liu 0297 — Central South University, School of Physics and Electronics, Changsha, China
- Yang Liu 0298 — Liaocheng University, School of Business, China
- Yang Liu 0299 — Anhui Agriculural University, School of Information and Computer, Laboratory, Hefei, China
- Yang Liu 0300 — Guangxi University, College of Light Industry and Food Engineering, Nanning, China
- Yang Liu 0301 — Liaoning Inspection Examination and Certification Centre, Shenyang, China
- Yang Liu 0303 — University of Electronic Science and Technology of China, Yingcai Honors College, Laboratory of Imaging Detection and Intelligent Perception, Chengdu, China (and 1 more)
- Yang Liu 0304 — Netherlands eScience Center, Amsterdam, The Netherlands (and 1 more)
- Yang Liu 0305 — Hangzhou Dianzi University, China
- Yang Liu 0306 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China (and 1 more)
- Yang Liu 0307 — Northwestern Polytechnical University, School of Management, Xi'an, China
- Yang Liu 0308 — Southeast University, Affiliated Jinling Hospital, School of Medicine, Nanjing, China
- Yang Liu 0309 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Yang Liu 0310 — University of Oxford, Mathematical Institute, UK (and 1 more)
- Yang Liu 0311 — Tianjin University of Commerce, College of Mathematics, China
- Yang Liu 0312 — Fred Hutchinson Cancer Research Center, Seattle, WA, USA (and 1 more)
- Yang Liu 0313 — University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, Chengdu, China
- Yang Liu 0314 — Dartmouth College, Hanover, NH, USA
- Yang Liu 0315 — Sichuan Agricultural University, College of Resources, Chengdu, China
- Yang Liu 0316 — Dalian Jiaotong University, School of Automation and Electrical Engineering, China (and 1 more)
- Yang Liu 0317 — Harbin University of Science and Technology, MoE Engineering Research Center of Automotive Electronics Drive Control and System Integration, China
- Yang Liu 0318 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China (and 1 more)
- Yang Liu 0319 — Mokpo National Maritime University, Department of Navigation Science, South Korea
- Yang Aron Liu (aka: Yang Liu 0320) — Baidu Research, Cognitive Computing Lab., Beijing, China (and 1 more)
- Yang Liu 0321 — Dalian Naval Academy, Department of Navigation, China
- Yang Liu 0322 — Shenzhen University, College of Computer Science and Software Engineering, China
- Yang Liu 0323 — University of Calgary, Canada
- Yang Liu 0324 — Chinese Academy of Sciences, Computer Network Information Center, Beijing, China
- Yang Liu 0325 — Beijing University of Posts and Telecommunications, China
- Yang Liu 0326 — Innovation Institute of High Performance Server, Guangzhou, China
- Yang Liu 0327 — PLA Strategy Support Force Information Engineering University, Henan Key Laboratory of Imaging and Intelligent Processing, China
- Yang Liu 0328 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, State Key Laboratory of Networking and Switching Technology, China
- Yang Liu 0329 — Xiangnan University, School of Computer and Artificial Intelligence, China
- Yang Liu 0330 — Meituan, Beijing, China
- Yang Liu 0331 — National University of Singapore, Department of Civil and Environmental Engineering / Department of Industrial Systems Engineering and Management, Singapore
- Yang Liu 0332 — Tsinghua University, School of Vehicle and Mobility, Beijing, China (and 1 more)
- Yang Liu 0333 — Jilin University, College of Instrument Science and Electrical Engineering, Changchun, China
- Yang Liu 0334 — Guangzhou Medical University, Sixth Affiliated Hospital, Qingyuan, China (and 2 more)
- Yang Liu 0335 — Beihang University, School of Instrumentation Science and Optoelectronics Engineering, Beijing, China
- Yang Liu 0336 — Southeast University, National Engineering Research Center of Turbo-Generator Vibration, School of Energy and Environment, National Engineering Research Center of Power Generation Control and Safety, Nanjing, China
- Yang Liu 0337 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Yang Liu 0338 — Chongqing University, College of Optoelectronic Engineering, MoE Key Laboratory of Optoelectronic Technology and Systems, China
- Yang Liu 0339 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 1 more)
- Yang Liu 0340 — Jinan University, College of Information Science and Technology, Guangzhou, China
- Yang Liu 0341 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Land Surface Pattern and Simulation, Beijing, China
- Yang Liu 0342 — Lanzhou Jiaotong University, School of Automation and Electrical Engineering, China
- Yang Liu 0343 — Ocean University of China, College of Fisheries, Qingdao, China (and 1 more)
- Yang Liu 0344 — Chinese Academy of Forestry, Beijing, China
- Yang Liu 0345 — Inner Mongolia Normal University, College of Geographic Science, Hohhot, China
- Yang Liu 0346 — Dalian University of Technology, School of Future Technology, School of Artificial Intelligence, China
- Yang Liu 0347 — Chinese Academy of Science, NLPR, MAIS, Institute of Automation, China (and 1 more)
- Yang Liu 0348 — Beijing University of Posts and Telecommunication, Department of Computer Science, China
- Yang Liu 0349 — School of Artificial Intelligence, Xidian University, Xi'an, China
- Yang Liu 0350 — University of Chinese Academy of Sciences, School of Computer Science and Technology, Beijing, China
- Yang Liu 0351 — Guangdong OPPO Mobile Telecommunications Corporation Ltd., Dongguan, China
- Yang Liu 0352 — Beijing Jiaotong University, Beijing Key Laboratory of Traffic Data Analysis and Mining, Key Laboratory of Big Data Artificial Intelligence in Transportation, China
- Yang Liu 0353 — South China University of Technology, Guangzhou, China
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2020 – today
- 2025
[j15]Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Yuguang Yao, Chris Yuhao Liu, Xiaojun Xu, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu:
Rethinking machine unlearning for large language models. Nat. Mac. Intell. 7(2): 181-194 (2025)- [c124]Minghao Liu, Jiaheng Wei, Yang Liu, James Davis:
Human and AI Perceptual Differences in Image Classification Errors. AAAI 2025: 14318-14326 - [c123]Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu:
ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration. ICLR 2025 - [c122]Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu:
Prompting Fairness: Integrating Causality to Debias Large Language Models. ICLR 2025 - [c121]Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu:
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. KDD (1) 2025: 1551-1562 - [i114]Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu:
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. CoRR abs/2501.11959 (2025) - [i113]Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang:
Learning Counterfactual Outcomes Under Rank Preservation. CoRR abs/2502.06398 (2025) - [i112]Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han:
Noisy Test-Time Adaptation in Vision-Language Models. CoRR abs/2502.14604 (2025) - 2024
- [c120]Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu:
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. AAAI 2024: 12830-12838 - [c119]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. AAAI 2024: 12938-12946 - [c118]Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu:
Fair Participation via Sequential Policies. AAAI 2024: 14758-14766 - [c117]Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu:
Providing Fair Recourse over Plausible Groups. AAAI 2024: 21753-21760 - [c116]Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu:
Federated Learning with Local Openset Noisy Labels. ECCV (34) 2024: 38-56 - [c115]Jayanth Yetukuri, Yuyan Wang, Ishita Khan, Liyang Hao, Zhe Wu, Yang Liu:
Multifaceted Reformulations for Null & Low queries and its parallelism with Counterfactuals. ICDE 2024: 5327-5333 - [c114]Wenlong Chen, Yegor Klochkov, Yang Liu:
Post-hoc bias scoring is optimal for fair classification. ICLR 2024 - [c113]Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun:
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. ICLR 2024 - [c112]Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang:
Procedural Fairness Through Decoupling Objectionable Data Generating Components. ICLR 2024 - [c111]Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu:
Fair Classifiers that Abstain without Harm. ICLR 2024 - [c110]Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu:
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. ICLR 2024 - [c109]Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han:
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. ICML 2024 - [c108]Yatong Chen, Wei Tang, Chien-Ju Ho, Yang Liu:
Performative Prediction with Bandit Feedback: Learning through Reparameterization. ICML 2024 - [c107]Zonghao Chen, Ruocheng Guo, Jean-Francois Ton, Yang Liu:
Conformal Counterfactual Inference under Hidden Confounding. KDD 2024: 397-408 - [c106]Andrew Estornell, Yang Liu:
Multi-LLM Debate: Framework, Principals, and Interventions. NeurIPS 2024 - [c105]Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu:
User-Creator Feature Polarization in Recommender Systems with Dual Influence. NeurIPS 2024 - [c104]Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu:
Large Language Model Unlearning via Embedding-Corrupted Prompts. NeurIPS 2024 - [c103]Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu:
Fairness without Harm: An Influence-Guided Active Sampling Approach. NeurIPS 2024 - [c102]Muhammad Faaiz Taufiq, Jean-Francois Ton, Yang Liu:
Achievable Fairness on Your Data With Utility Guarantees. NeurIPS 2024 - [c101]Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu:
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards. NeurIPS 2024 - [c100]Xiaoying Zhang, Jean-Francois Ton, Wei Shen, Hongning Wang, Yang Liu:
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation. NeurIPS 2024 - [c99]Xiaoying Zhang, Hongning Wang, Yang Liu:
Retention Depolarization in Recommender System. WWW 2024: 1126-1137 - [i111]Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying Zhang, Zhaoran Wang, Yang Liu:
Human-Instruction-Free LLM Self-Alignment with Limited Samples. CoRR abs/2401.06785 (2024) - [i110]Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun:
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. CoRR abs/2402.02032 (2024) - [i109]Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu:
Rethinking Machine Unlearning for Large Language Models. CoRR abs/2402.08787 (2024) - [i108]Jiaheng Wei, Yuanshun Yao, Jean-Francois Ton, Hongyi Guo, Andrew Estornell, Yang Liu:
Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting. CoRR abs/2402.10412 (2024) - [i107]Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng Guo, Xiangyu Zhao:
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation. CoRR abs/2402.10468 (2024) - [i106]Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu:
Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. CoRR abs/2402.12789 (2024) - [i105]Muhammad Faaiz Taufiq, Jean-Francois Ton, Yang Liu:
Dataset Fairness: Achievable Fairness on Your Data With Utility Guarantees. CoRR abs/2402.17106 (2024) - [i104]Xiaoying Zhang, Jean-Francois Ton, Wei Shen, Hongning Wang, Yang Liu:
Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation. CoRR abs/2403.05171 (2024) - [i103]Wei Shen, Xiaoying Zhang, Yuanshun Yao, Rui Zheng, Hongyi Guo, Yang Liu:
Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards. CoRR abs/2403.07708 (2024) - [i102]Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu:
Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework. CoRR abs/2403.08743 (2024) - [i101]Xiaojun Xu, Yuanshun Yao, Yang Liu:
Learning to Watermark LLM-generated Text via Reinforcement Learning. CoRR abs/2403.10553 (2024) - [i100]Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu:
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. CoRR abs/2403.16561 (2024) - [i99]Zonghao Chen, Ruocheng Guo, Jean-François Ton, Yang Liu:
Conformal Counterfactual Inference under Hidden Confounding. CoRR abs/2405.12387 (2024) - [i98]Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han:
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. CoRR abs/2406.00806 (2024) - [i97]Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter L. Spirtes, Yang Liu, Lu Cheng:
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. CoRR abs/2406.06736 (2024) - [i96]Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu:
Adversarial Machine Unlearning. CoRR abs/2406.07687 (2024) - [i95]Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu:
Label Smoothing Improves Machine Unlearning. CoRR abs/2406.07698 (2024) - [i94]Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu:
Large Language Model Unlearning via Embedding-Corrupted Prompts. CoRR abs/2406.07933 (2024) - [i93]Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu:
Toward Optimal LLM Alignments Using Two-Player Games. CoRR abs/2406.10977 (2024) - [i92]Kun Jin, Tian Xie, Yang Liu, Xueru Zhang:
Addressing Polarization and Unfairness in Performative Prediction. CoRR abs/2406.16756 (2024) - [i91]Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu:
User-Creator Feature Dynamics in Recommender Systems with Dual Influence. CoRR abs/2407.14094 (2024) - [i90]Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen:
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. CoRR abs/2410.01677 (2024) - [i89]Jinlong Pang, Jiaheng Wei, Ankit Parag Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei:
Improving Data Efficiency via Curating LLM-Driven Rating Systems. CoRR abs/2410.10877 (2024) - [i88]Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei:
LLM Unlearning via Loss Adjustment with Only Forget Data. CoRR abs/2410.11143 (2024) - [i87]Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu:
ACC-Debate: An Actor-Critic Approach to Multi-Agent Debate. CoRR abs/2411.00053 (2024) - [i86]Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu:
Understanding Chain-of-Thought in LLMs through Information Theory. CoRR abs/2411.11984 (2024) - 2023
- [j14]Tianyi Luo, Yang Liu:
Machine truth serum: a surprisingly popular approach to improving ensemble methods. Mach. Learn. 112(3): 789-815 (2023) - [j13]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) - [j12]Yatong Chen, Jialu Wang, Yang Liu:
Learning to Incentivize Improvements from Strategic Agents. Trans. Mach. Learn. Res. 2023 (2023) - [c98]Jialu Wang, Xinyue Liu, Zonglin Di, Yang Liu, Xin Eric Wang:
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. ACL (Findings) 2023: 2560-2574 - [c97]Ian Hardy, Jayanth Yetukuri, Yang Liu:
Adaptive Adversarial Training Does Not Increase Recourse Costs. AIES 2023: 432-442 - [c96]Jayanth Yetukuri, Ian Hardy, Yang Liu:
Towards User Guided Actionable Recourse. AIES 2023: 742-751 - [c95]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 - [c94]Yang Liu, Rixing Lou, Jiaheng Wei:
Auditing for Federated Learning: A Model Elicitation Approach. DAI 2023: 12:1-12:9 - [c93]Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Group-Fair Classification with Strategic Agents. FAccT 2023: 389-399 - [c92]Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu:
Mitigating Memorization of Noisy Labels via Regularization between Representations. ICLR 2023 - [c91]Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang:
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors. ICLR 2023 - [c90]Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar:
Distributionally Robust Post-hoc Classifiers under Prior Shifts. ICLR 2023 - [c89]Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu:
Model Transferability with Responsive Decision Subjects. ICML 2023: 4921-4952 - [c88]Yang Liu, Hao Cheng, Kun Zhang:
Identifiability of Label Noise Transition Matrix. ICML 2023: 21475-21496 - [c87]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 - [c86]Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Incentivizing Recourse through Auditing in Strategic Classification. IJCAI 2023: 400-408 - [c85]Yang Liu:
The Importance of Human-Labeled Data in the Era of LLMs. IJCAI 2023: 7026-7032 - [c84]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 - [c83]Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo:
Debiasing Recommendation by Learning Identifiable Latent Confounders. KDD 2023: 3353-3363 - [c82]Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu:
Model Sparsity Can Simplify Machine Unlearning. NeurIPS 2023 - [c81]Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu:
Long-Term Fairness with Unknown Dynamics. NeurIPS 2023 - [c80]Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C. S. Lui, Hang Li:
Uncertainty-Aware Instance Reweighting for Off-Policy Learning. NeurIPS 2023 - [c79]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 - [e1]Dmitry Ustalov, Saiph Savage, Niels van Berkel, Yang Liu, Alisa Smirnova:
Proceedings of the 4th Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling co-located with ACM International WSDM Conference (WSDM 2023), Singapore, March 3, 2023. CEUR Workshop Proceedings 3357, CEUR-WS.org 2023 [contents] - [i85]Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang:
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors. CoRR abs/2301.08987 (2023) - [i84]Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo:
Debiasing Recommendation by Learning Identifiable Latent Confounders. CoRR abs/2302.05052 (2023) - [i83]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) - [i82]Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu:
Model Sparsification Can Simplify Machine Unlearning. CoRR abs/2304.04934 (2023) - [i81]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) - [i80]Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu:
Long-Term Fairness with Unknown Dynamics. CoRR abs/2304.09362 (2023) - [i79]Yatong Chen, Wei Tang, Chien-Ju Ho, Yang Liu:
Performative Prediction with Bandit Feedback: Learning through Reparameterization. CoRR abs/2305.01094 (2023) - [i78]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) - [i77]Jialu Wang, Xinyue Gabby Liu, Zonglin Di, Yang Liu, Xin Eric Wang:
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. CoRR abs/2306.00905 (2023) - [i76]Ruocheng Guo, Jean-François Ton, Yang Liu:
Fair Learning to Rank with Distribution-free Risk Control. CoRR abs/2306.07188 (2023) - [i75]Yang Liu:
The Importance of Human-Labeled Data in the Era of LLMs. CoRR abs/2306.14910 (2023) - [i74]Yuanshun Yao, Yang Liu:
Understanding Unfairness via Training Concept Influence. CoRR abs/2306.17828 (2023) - [i73]Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li:
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment. CoRR abs/2308.05374 (2023) - [i72]Jayanth Yetukuri, Ian Hardy, Yang Liu:
Towards User Guided Actionable Recourse. CoRR abs/2309.02517 (2023) - [i71]Ian Hardy, Jayanth Yetukuri, Yang Liu:
Adaptive Adversarial Training Does Not Increase Recourse Costs. CoRR abs/2309.02528 (2023) - [i70]Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar:
Distributionally Robust Post-hoc Classifiers under Prior Shifts. CoRR abs/2309.08825 (2023) - [i69]Wenlong Chen, Yegor Klochkov, Yang Liu:
Post-hoc Bias Scoring Is Optimal For Fair Classification. CoRR abs/2310.05725 (2023) - [i68]Yegor Klochkov, Jean-Francois Ton, Ruocheng Guo, Yang Liu, Hang Li:
Deep Concept Removal. CoRR abs/2310.05755 (2023) - [i67]Tongxin Yin, Jean-François Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu:
Fair Classifiers that Abstain without Harm. CoRR abs/2310.06205 (2023) - [i66]Yuanshun Yao, Xiaojun Xu, Yang Liu:
Large Language Model Unlearning. CoRR abs/2310.10683 (2023) - [i65]Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu:
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. CoRR abs/2311.11202 (2023) - [i64]Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - [i63]Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang:
Procedural Fairness Through Decoupling Objectionable Data Generating Components. CoRR abs/2311.14688 (2023) - 2022
- [j11]Yang Liu, Juntao Wang, Yiling Chen:
Surrogate Scoring Rules. ACM Trans. Economics and Comput. 10(3): 12:1-12:36 (2022) - [c78]Jialu Wang, Yang Liu, Xin Eric Wang:
Assessing Multilingual Fairness in Pre-trained Multimodal Representations. ACL (Findings) 2022: 2681-2695 - [c77]Tianyi Luo, Rui Meng, Xin Wang, Yang Liu:
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking. ACL (Findings) 2022: 3864-3876 - [c76]Jayanth Yetukuri, Yang Liu:
Robust Stochastic Bandit algorithms to defend against Oracle attack using Sample Dropout. IEEE Big Data 2022: 5845-5854 - [c75]Masashi Sugiyama, Tongliang Liu, Bo Han, Yang Liu, Gang Niu:
Learning and Mining with Noisy Labels. CIKM 2022: 5152-5155 - [c74]Songhua Wu, Mingming Gong, Bo Han, Yang Liu, Tongliang Liu:
Fair Classification with Instance-dependent Label Noise. CLeaR 2022: 927-943 - [c73]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 - [c72]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 - [c71]Zhaowei Zhu, Tianyi Luo, Yang Liu:
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. ICLR 2022 - [c70]Jialu Wang, Xin Eric Wang, Yang Liu:
Understanding Instance-Level Impact of Fairness Constraints. ICML 2022: 23114-23130 - [c69]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 - [c68]Jimmy Wu, Yatong Chen, Yang Liu:
Metric-Fair Classifier Derandomization. ICML 2022: 23999-24016 - [c67]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 - [c66]Zhaowei Zhu, Zihao Dong, Yang Liu:
Detecting Corrupted Labels Without Training a Model to Predict. ICML 2022: 27412-27427 - [c65]Zhaowei Zhu, Jialu Wang, Yang Liu:
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. ICML 2022: 27633-27653 - [c64]Minghao Liu, Jiahao Luo, Xiaohan Zhang, Yang Liu, James Davis:
Low-light Image Enhancement Using Chain-consistent Adversarial Networks. ICPR 2022: 713-719 - [c63]Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu:
Fairness Transferability Subject to Bounded Distribution Shift. NeurIPS 2022 - [c62]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. NeurIPS 2022 - [c61]Yifan Yang, Yang Liu, Parinaz Naghizadeh:
Adaptive Data Debiasing through Bounded Exploration. NeurIPS 2022 - [i62]Zhaowei Zhu, Jialu Wang, Yang Liu:
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. CoRR abs/2202.01273 (2022) - [i61]Yang Liu:
Identifiability of Label Noise Transition Matrix. CoRR abs/2202.02016 (2022) - [i60]Tianyi Luo, Rui Meng, Xin Eric Wang, Yang Liu:
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking. CoRR abs/2203.14474 (2022) - [i59]Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li:
Certifying Some Distributional Fairness with Subpopulation Decomposition. CoRR abs/2205.15494 (2022) - [i58]Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu:
Fairness Transferability Subject to Bounded Distribution Shift. CoRR abs/2206.00129 (2022) - [i57]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) - [i56]Jimmy Wu, Yatong Chen, Yang Liu:
Metric-Fair Classifier Derandomization. CoRR abs/2206.07826 (2022) - [i55]Jialu Wang, Xin Eric Wang, Yang Liu:
Understanding Instance-Level Impact of Fairness Constraints. CoRR abs/2206.15437 (2022) - [i54]Reilly Raab, Luca de Alfaro, Yang Liu:
Conjugate Natural Selection. CoRR abs/2208.13898 (2022) - [i53]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) - [c60]Wei Tang, Chien-Ju Ho, Yang Liu:
Linear Models are Robust Optimal Under Strategic Behavior. AISTATS 2021: 2584-2592 - [c59]Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang:
Sample Elicitation. AISTATS 2021: 2692-2700 - [c58]Zhaowei Zhu, Tongliang Liu, Yang Liu:
A Second-Order Approach to Learning With Instance-Dependent Label Noise. CVPR 2021: 10113-10123 - [c57]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 - [c56]Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. FAccT 2021: 526-536 - [c55]Juntao Wang, Yang Liu, Yiling Chen:
Forecast Aggregation via Peer Prediction. HCOMP 2021: 131-142 - [c54]Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu:
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. ICLR 2021 - [c53]Jiaheng Wei, Yang Liu:
When Optimizing f-Divergence is Robust with Label Noise. ICLR 2021 - [c52]Yang Liu:
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments. ICML 2021: 6725-6735 - [c51]Zhaowei Zhu, Yiwen Song, Yang Liu:
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. ICML 2021: 12912-12923 - [c50]Yang Liu, Jialu Wang:
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. NeurIPS 2021: 17467-17479 - [c49]Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu:
Policy Learning Using Weak Supervision. NeurIPS 2021: 19960-19973 - [c48]Reilly Raab, Yang Liu:
Unintended Selection: Persistent Qualification Rate Disparities and Interventions. NeurIPS 2021: 26053-26065 - [c47]Wei Tang, Chien-Ju Ho, Yang Liu:
Bandit Learning with Delayed Impact of Actions. NeurIPS 2021: 26804-26817 - [c46]Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu:
Federated Bandit: A Gossiping Approach. SIGMETRICS (Abstracts) 2021: 3-4 - [i52]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) - [i51]Zhaowei Zhu, Yiwen Song, Yang Liu:
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. CoRR abs/2102.05291 (2021) - [i50]Wei Tang, Chien-Ju Ho, Yang Liu:
Optimal Query Complexity of Secure Stochastic Convex Optimization. CoRR abs/2104.01926 (2021) - [i49]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) - [i48]Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Yang Liu:
Understanding (Generalized) Label Smoothing when Learning with Noisy Labels. CoRR abs/2106.04149 (2021) - [i47]Jialu Wang, Yang Liu, Xin Eric Wang:
Assessing Multilingual Fairness in Pre-trained Multimodal Representations. CoRR abs/2106.06683 (2021) - [i46]Yang Liu, Yatong Chen, Jiaheng Wei:
Induced Domain Adaptation. CoRR abs/2107.05911 (2021) - [i45]Yang Liu, Jialu Wang:
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. CoRR abs/2107.05913 (2021) - [i44]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) - [i43]Zhaowei Zhu, Tianyi Luo, Yang Liu:
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. CoRR abs/2110.06282 (2021) - [i42]Zhaowei Zhu, Zihao Dong, Yang Liu:
A Good Representation Detects Noisy Labels. CoRR abs/2110.06283 (2021) - [i41]Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu:
Demystifying How Self-Supervised Features Improve Training from Noisy Labels. CoRR abs/2110.09022 (2021) - [i40]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) - [i39]Yifan Yang, Yang Liu, Parinaz Naghizadeh:
Adaptive Data Debiasing through Bounded Exploration and Fairness. CoRR abs/2110.13054 (2021) - [i38]Reilly Raab, Yang Liu:
Unintended Selection: Persistent Qualification Rate Disparities and Interventions. CoRR abs/2111.01201 (2021) - [i37]Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents. CoRR abs/2112.02746 (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) - [c45]Jingkang Wang, Yang Liu, Bo Li:
Reinforcement Learning with Perturbed Rewards. AAAI 2020: 6202-6209 - [c44]Yang Liu, David P. Helmbold:
Online Learning Using Only Peer Prediction. AISTATS 2020: 2032-2042 - [c43]Wei Tang, Chien-Ju Ho, Yang Liu:
Differentially Private Contextual Dynamic Pricing. AAMAS 2020: 1368-1376 - [c42]Tianyi Luo, Xingyu Li, Hainan Wang, Yang Liu:
Research Replication Prediction Using Weakly Supervised Learning. EMNLP (Findings) 2020: 1464-1474 - [c41]Yang Liu, Hongyi Guo:
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates. ICML 2020: 6226-6236 - [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 - [i36]Wei Tang, Chien-Ju Ho, Yang Liu:
Fair Bandit Learning with Delayed Impact of Actions. CoRR abs/2002.10316 (2020) - [i35]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) - [i34]Nihesh Anderson, Suman K. Bera, Syamantak Das, Yang Liu:
Distributional Individual Fairness in Clustering. CoRR abs/2006.12589 (2020) - [i33]Yang Liu, Jiaheng Wei:
Incentives for Federated Learning: a Hypothesis Elicitation Approach. CoRR abs/2007.10596 (2020) - [i32]Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu:
Policy Learning Using Weak Supervision. CoRR abs/2010.01748 (2020) - [i31]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) - [i30]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) - [i29]Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu:
Federated Bandit: A Gossiping Approach. CoRR abs/2010.12763 (2020) - [i28]Yatong Chen, Jialu Wang, Yang Liu:
Strategic Recourse in Linear Classification. CoRR abs/2011.00355 (2020) - [i27]Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. CoRR abs/2011.00379 (2020) - [i26]Jiaheng Wei, Yang Liu:
When Optimizing f-divergence is Robust with Label Noise. CoRR abs/2011.03687 (2020) - [i25]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 - [i24]Tianyi Luo, Yang Liu:
Machine Truth Serum. CoRR abs/1909.13004 (2019) - [i23]Yang Liu, Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Credible Sample Elicitation by Deep Learning, for Deep Learning. CoRR abs/1910.03155 (2019) - [i22]Yang Liu, Hongyi Guo:
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates. CoRR abs/1910.03231 (2019) - [i21]Juntao Wang, Yang Liu, Yiling Chen:
Forecast Aggregation via Peer Prediction. CoRR abs/1910.03779 (2019) - [i20]Yang Liu, David P. Helmbold:
Online Learning Using Only Peer Assessment. CoRR abs/1910.04382 (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]Yang Liu, Yiling Chen:
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. AAAI 2017: 607-613 - [c24]Yang Liu, Ji Liu, Tamer Basar, Mingyan Liu:
Distributed belief averaging using sequential observations. ACC 2017: 680-685 - [c23]Ji Liu, Yang Liu, Angelia Nedic, Tamer Basar:
An approach to distributed parametric learning with streaming data. CDC 2017: 3206-3211 - [c22]Yang Liu, Mingyan Liu:
Crowd Learning: Improving Online Decision Making Using Crowdsourced Data. IJCAI 2017: 317-323 - [c21]Yang Liu, Yiling Chen:
Machine-Learning Aided Peer Prediction. EC 2017: 63-80 - [c20]Yang Liu:
Fair Optimal Stopping Policy for Matching with Mediator. UAI 2017 - [i11]Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Subjective fairness: Fairness is in the eye of the beholder. CoRR abs/1706.00119 (2017) - [i10]Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes:
Calibrated Fairness in Bandits. CoRR abs/1707.01875 (2017) - [i9]Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen:
Active Information Acquisition for Linear Optimization. CoRR abs/1709.10061 (2017) - 2016
- [j4]Armin Sarabi, Parinaz Naghizadeh, Yang Liu, Mingyan Liu:
Risky business: Fine-grained data breach prediction using business profiles. J. Cybersecur. 2(1): 15-28 (2016) - [c19]Yang Liu, Mingyan Liu:
Finding One's Best Crowd: Online Learning By Exploiting Source Similarity. AAAI 2016: 1895-1901 - [c18]Yang Liu, Yiling Chen:
Learning to Incentivize: Eliciting Effort via Output Agreement. IJCAI 2016: 3782-3788 - [c17]Yang Liu, Yiling Chen:
A Bandit Framework for Strategic Regression. NIPS 2016: 1813-1821 - [i8]Yang Liu, Yiling Chen:
Learning to Incentivize: Eliciting Effort via Output Agreement. CoRR abs/1604.04928 (2016) - [i7]Yang Liu, Yiling Chen:
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. CoRR abs/1611.09219 (2016) - 2015
- [j3]Yang Liu, Mingyan Liu:
To Stay or To Switch: Multiuser Multi-Channel Dynamic Access. IEEE Trans. Mob. Comput. 14(4): 858-871 (2015) - [c16]Yang Liu, Jing Zhang, Armin Sarabi, Mingyan Liu, Manish Karir, Michael D. Bailey:
Predicting Cyber Security Incidents Using Feature-Based Characterization of Network-Level Malicious Activities. IWSPA@CODASPY 2015: 3-9 - [c15]Yang Liu, Mingyan Liu:
Detecting hidden cliques from noisy observations. ICASSP 2015: 3891-3895 - [c14]Yang Liu, Yi Ouyang, Mingyan Liu:
Optimal relay selection with non-negligible probing time. ICC 2015: 2227-2232 - [c13]Shang-Pin Sheng, Yang Liu, Mingyan Liu:
A regulated oligopoly multi-market model for trading smart data. INFOCOM Workshops 2015: 510-515 - [c12]Yang Liu, Mingyan Liu:
An Online Approach to Dynamic Channel Access and Transmission Scheduling. MobiHoc 2015: 187-196 - [c11]Yang Liu, Mingyan Liu:
An Online Learning Approach to Improving the Quality of Crowd-Sourcing. SIGMETRICS 2015: 217-230 - [c10]Yang Liu, Armin Sarabi, Jing Zhang, Parinaz Naghizadeh, Manish Karir, Michael D. Bailey, Mingyan Liu:
Cloudy with a Chance of Breach: Forecasting Cyber Security Incidents. USENIX Security Symposium 2015: 1009-1024 - [c9]Armin Sarabi, Parinaz Naghizadeh, Yang Liu, Mingyan Liu:
Prioritizing Security Spending: A Quantitative Analysis of Risk Distributions for Different Business Profiles. WEIS 2015 - [i6]Yang Liu, Yi Ouyang, Mingyan Liu:
Optimal Relay Selection with Non-negligible Probing Time. CoRR abs/1502.02376 (2015) - [i5]Yang Liu, Mingyan Liu:
An Online Approach to Dynamic Channel Access and Transmission Scheduling. CoRR abs/1504.01050 (2015) - 2014
- [j2]Yang Liu, Mingyan Liu, Sahand Haji Ali Ahmad:
Sufficient Conditions on the Optimality of Myopic Sensing in Opportunistic Channel Access: A Unifying Framework. IEEE Trans. Inf. Theory 60(8): 4922-4940 (2014) - [c8]Yang Liu, Mingyan Liu:
Detecting hidden propagation structure and its application to analyzing phishing. DSAA 2014: 184-190 - [c7]Yang Liu, Mingyan Liu, Jing Deng:
Revisiting optimal power control: Dual effects of SNR and contention. WiOpt 2014: 143-150 - 2013
- [j1]Yang Liu, Mingyan Liu, Jing Deng:
Evaluating Opportunistic Multi-Channel MAC: Is Diversity Gain Worth the Pain? IEEE J. Sel. Areas Commun. 31(11): 2301-2311 (2013) - [c6]Yang Liu, Mingyan Liu:
Group learning and opinion diffusion in a broadcast network. Allerton 2013: 1509-1516 - [c5]Yang Liu, Mingyan Liu:
To stay or to switch: Multiuser dynamic channel access. INFOCOM 2013: 1249-1257 - [i4]Yang Liu, Mingyan Liu, Sahand Haji Ali Ahmad:
Sufficient Conditions on the Optimality of Myopic Sensing in Opportunistic Channel Access: A Unifying Framework. CoRR abs/1309.3692 (2013) - [i3]Yang Liu, Mingyan Liu:
Group Learning and Opinion Diffusion in a Broadcast Network. CoRR abs/1309.3697 (2013) - [i2]Yang Liu, Mingyan Liu:
To Stay Or To Switch: Multiuser Dynamic Channel Access. CoRR abs/1309.3704 (2013) - [i1]Yang Liu, Mingyan Liu, Jing Deng:
Revisiting Optimal Power Control: its Dual Effect on SNR and Contention. CoRR abs/1309.3716 (2013) - 2012
- [c4]Yang Liu, Mingyan Liu, Jing Deng:
Is diversity gain worth the pain: A delay comparison between opportunistic multi-channel MAC and single-channel MAC. INFOCOM 2012: 2921-2925 - 2010
- [c3]Yang Liu, Yue Wu, Junhua Tang:
Two tier detection model for misbehavior of low-power nodes in virtual MIMO based wireless networks. IAS 2010: 155-160 - [c2]Donglai Sun, Yue Wu, Tian Wu, Yang Liu, Ning Liu, Junhua Tang:
Design and Construction of a Prototype Secure Wireless Mesh Network Testbed. AINA Workshops 2010: 345-350
2000 – 2009
- 2009
- [c1]Yang Liu, Ping Yi, Yue Wu:
Efficient implementation of FIR type time domain equalizers for MIMO wireless channels via M-LESQ. PIMRC 2009: 286-290
Coauthor Index
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