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Hao Wang 0025
Person information
- affiliation: Sorbonne University, CNRS, LIP6, Paris, France
- affiliation: University of Leiden, Netherlands
Other persons with the same name
- Hao Wang — disambiguation page
- Hao Wang 0001 — Rockefeller University, New York City, NY, USA (and 2 more)
- Hao Wang 0002 — Ohio State University, Columbus, OH, USA (and 1 more)
- Hao Wang 0003 — Norwegian University of Science and Technology, Alesund, Norway
- Hao Wang 0004 — Hangzhou Dianzi University, School of Communication Engineering, China (and 1 more)
- Hao Wang 0005 — Alibaba, Beijing, China (and 3 more)
- Hao Wang 0006 — University of California, San Diego, CA. USA
- Hao Wang 0007 — Shandong University, School of Information Science and Engineering, Jinan, China
- Hao Wang 0008 — Hefei University of Technology, School of Computer Science and Information Engineering, MoE Key Laboratory of Knowledge Engineering with Big Data, China
- Hao Wang 0009 — Northeastern University, Faculty of Robot Science and Engineering, Shenyang, China (and 2 more)
- Hao Wang 0010 — Google, Mountain View, CA, USA (and 1 more)
- Hao Wang 0011 — University of Wisconsin-Madison, Madison, WI, USA
- Hao Wang 0012 — China Institute of Water Resources and Hydropower Research, Beijing, China
- Hao Wang 0013 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, China (and 1 more)
- Hao Wang 0014 — Rutgers University, Department of Computer Science, NJ, USA (and 2 more)
- Hao Wang 0015 — Shanghai Jiao Tong University, State Key Laboratory of Mechanical Systems and Vibration, Shanghai, China (and 1 more)
- Hao Wang 0016 — Monash University, Faculty of Information Technology, Melbourne, VIC, Australia (and 4 more)
- Hao Wang 0018 — North China University of Technology, School of Computer Science and Technology, Beijing, China (and 1 more)
- Hao Wang 0019 — Babytree Inc., Beijing, China (and 2 more)
- Hao Wang 0020 — Nokia Research Center, Beijing, China (and 1 more)
- Hao Wang 0021 — Helsinki University of Technology, Finland (and 2 more)
- Hao Wang 0022 — Louisiana State University, Baton Rouge, USA (and 2 more)
- Hao Wang 0023 — Dalian University of Technology, School of Software, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China (and 1 more)
- Hao Wang 0024 — Carnegie Mellon University, Pittsburgh, PA, USA
- Hao Wang 0026 — Michigan State University, East Lansing, MI, USA
- Hao Wang 0027 — University of Alberta, Department of Mathematical and Statistical Sciences, Interdisciplinary Lab for Mathematical Ecology and Epidemiology, Edmonton, AB, Canada
- Hao Wang 0028 — Tech Mahindra, Shanghai, China (and 1 more)
- Hao Wang 0029 — IBM Silicon Valley Lab, San Jose, CA, USA
- Hao Wang 0030 — CUHK, Department of Electronic Engineering, Hong Kong
- Hao Wang 0031 — University of Georgia, Athens, GA, USA (and 1 more)
- Hao Wang 0032 — University of Melbourne, Australia (and 1 more)
- Hao Wang 0033 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
- Hao Wang 0034 — Sichuan University, School of Computer Science, Chengdu, China
- Hao Wang 0035 — Peking University, Key Laboratory of High Confidence Software Technologies, Beijing, China
- Hao Wang 0036 — Shanghai University, Key Laboratory of Specialty Fiber Optics and Optical Access Network, China
- Hao Wang 0037 — Harbin Institute of Technology, Department of Computer Science, China
- Hao Wang 0038 — China Earthquake Administration, Key Laboratory of Earthquake Geodesy, Wuhan, China
- Hao Wang 0039 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China (and 1 more)
- Hao Wang 0040 — Southeast University, School of Civil Engineering, Nanjing, China
- Hao Wang 0041 — Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China
- Hao Wang 0042 — Rensselaer Polytechnic Institute, Department of Electrical, Computer and System Engineering, Troy, NY, USA
- Hao Wang 0043 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Hao Wang 0044 — University of California at Davis, Department of Electrical and Computer Engineering, CA, USA (and 1 more)
- Hao Wang 0045 — ShanghaiTech University, School of Information Science and Technology, China (and 1 more)
- Hao Wang 0046 — Wuhan University, School of Physics and Technology, China
- Hao Wang 0047 — Hohai University, Department of Internet of Things Engineering, Changzhou, China
- Hao Wang 0048 — National University of Singapore, Department of Mechanical Engineering, Singapore
- Hao Wang 0049 (aka: Eric Hao Wang) — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- Hao Wang 0050 — Tencent AI Lab, Beijing, China
- Hao Wang 0051 — Sichuan University, School of Mathematics, Chengdu, China (and 1 more)
- Hao Wang 0052 — Tsinghua University, Department of Automation, Bejing, China
- Hao Wang 0053 — Queen's University Belfast, School of Natural and Built Environment, UK
- Hao Wang 0054 — Aalborg University, Department of Energy Technology, Denmark
- Hao Wang 0055 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Hao Wang 0056 — University of Michigan, Department of Naval Architecture and Marine Engineering, Ann Arbor, MI, USA
- Hao Wang 0057 — Huawei Technologies Co Ltd, Riemann Lab, Wuhan, China (and 2 more)
- Hao Wang 0058 — Fujian University of Technology, School of Information Science and Engineering, Fuzhou, China
- Hao Wang 0059 — Southeast University, School of Transportation, Nanjing, China
- Hao Wang 0060 — Nanjing University of Science and Technology, School of Automation, Department of Computer and Software, China
- Hao Wang 0061 — Qingdao University of Science and Technology, College of Automation and Electronic Engineering, China
- Hao Wang 0062 — Xidian University, School of Electronic Engineering, Xi'an, China
- Hao Wang 0063 — Harvard University, Cambridge, MA, USA
- Hao Wang 0064 — University of Oregon, Eugene, OR, USA
- Hao Wang 0065 — University College London, Computer Science Departmen, UK
- Hao Wang 0066 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China
- Hao Wang 0067 — Fujian Normal University, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fujian, China
- Hao Wang 0068 — Sichuan University (SCU), College of Computer Science, Chengdu, China (and 3 more)
- Hao Wang 0069 — Central South University, School of Geosciences and InfoPhysics, Changsha, China
- Hao Wang 0070 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China
- Hao Wang 0071 — Nanjing University of Aeronautics and Astronautics, College of Electronic and Information Engineering, Nanjing, China
- Hao Wang 0072 — Tianjin University, School of Electronic Information Engineering, Tianjin, China
- Hao Wang 0073 — Northeastern University, College of Information Science and Engineering, Shenyang, China (and 1 more)
- Hao Wang 0074 — Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
- Hao Wang 0075 — Shenzhen University, Guangdong Multimedia Information Service Engineering Technology Research Center, China (and 1 more)
- Hao Wang 0076 — 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
- Hao Wang 0077 — Chinese University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
- Hao Wang 0078 — Chalmers University of Technology, Department of Biology and Biological Engineering, Gothenburg, Sweden (and 1 more)
- Hao Wang 0079 — University of California Davis, CA, USA (and 1 more)
- Hao Wang 0080 — Jiangxi Normal University, School of Software, Nanchang, China
- Hao Wang 0081 — Hefei University of Technology, School of Management, MoE Key Laboratory of Process Optimization and Intelligent Decision-Making, China
- Hao Wang 0082 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Hao Wang 0083 — Beijing Institute of Remote Sensing Equipment, China (and 1 more)
- Hao Wang 0084 — Zhejiang University, School of Aeronautics and Astronautics, Hangzhou, China
- Hao Wang 0085 — Air Force Engineering University, Aeronautical Engineering Department, Xi'an, China
- Hao Wang 0086 — Tiangong University, School of Electrical Engineering and Automation, Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin, China
- Hao Wang 0087 — Chinese Academy of Sciences, Aerospace Information Research Institute, State Key Laboratory of Transducer Technology, Beijing, China (and 1 more)
- Hao Wang 0088 — Nanchang Hangkong University, MoE Key Laboratory of Nondestructive Test, China Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, China
- Hao Wang 0089 — Beijing Sport University, China Swimming Sports College, China
- Hao Wang 0090 — Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, China
- Hao Wang 0091 — Qilu University of Technology (Shandong Academy of Sciences), School of Computer Science and Technology, Jinan, China
- Hao Wang 0092 — Hefei University of Technology, School of Computer Science and Information Engineering, China
- Hao Wang 0093 — University of Chinese Academy of Sciences, School of Computer Science and Technology, Beijing, China
- Hao Wang 0094 — Hong Kong University of Science and Technology, Guangzhou, China (and 1 more)
- Hao Wang 0095 — Jilin University, School of Economics, Changchun, China (and 1 more)
- Hao Wang 0096 — Zhejiang University, Laboratory of Applied Research on Electromagnetics, Hangzhou, China
- Hao Wang 0097 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, China
- Hao Wang 0098 — Xidian University, School of Physics, Xi'an, China (and 2 more)
- Hao Wang 0099 — Nanjing University of Science and Technology, Department of Electronic Engineering, China
- Hao Wang 0100 — National Institutes for Food and Drug Control, Daxing, China
- Hao Wang 0101 — Nanjing University of Information Science and Technology, School of Computer and Software, China
- Hao Wang 0102 — Beijing University of Technology, Faculty of Information Technology, China
- Hao Wang 0103 — Academy of Engineering Physics, Institute of Computer Application, Mianyang, China
- Hao Wang 0104 — Wuhan University, GNSS Research Center, China
- Hao Wang 0105 — Jiangsu Normal University, School of Geography, Geomatics and Planning, Xuzhou, China
- Hao Wang 0106 — Zhejiang A&F University, Hangzhou, China
- Hao Wang 0107 — Tencent Technologies, Beijing, China
- Hao Wang 0108 — Southwest for Ministry of Agriculture and Rural Affairs, Chongqing, China
- Hao Wang 0109 — Inner Mongolia University, College of Life Sciences, State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Hohhot, China
- Hao Wang 0110 — Chinese Academy of Sciences, Wuhan Institute of Rock and Soil Mechanics, China (and 1 more)
- Hao Wang 0111 — China Jiuquan Satellite Launch Centre, China
- Hao Wang 0112 — Peking University, School of EECS, Beijing, China
- Hao Wang 0113 — Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, China
- Hao Wang 0114 — Ji Hua Laboratory, China
- Hao Wang 0115 — Hohai University, College of Computer and Information, China
- Hao Wang 0116 — Hong Kong University of Science and Technology, Hong Kong
- Hao Wang 0117 — National University of Defense Technology, College of Computer, China
- Hao Wang 0118 — Qilu University of Technology (Shandong Academy of Sciences), Institute of Automation, China and Shandong Provincial Key Laboratory of Automotive Electronics Technology, China
- Hao Wang 0119 — Wuhan University of Technology, School of Naval Architecture, Ocean and Energy Power Engineering, Key Laboratory of High Performance Ship Technology, Wuhan, China
- Hao Wang 0120 — Chinese Academy of Sciences, Institute of Electrical Engineering, Beijing, China
- Hao Wang 0121 — Northwestern Polytechnical University, Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, Xi'an, China
- Hao Wang 0122 — Beijing Institute of Technology, School of Information and Electronics, Beijing Key Laboratory of Fractional Signals and Systems, China
- Hao Wang 0123 — Huazhong University of Science and Technology, MOE Key Laboratory of Image Processing and Intelligent Control, Wuhan, China
- Hao Wang 0124 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Hao Wang 0125 — Fudan University, Academy for Engineering & Technology, Shanghai, China
- Hao Wang 0126 — Peking University, School of Life Science, Center for Nature and Society, Beijing, China
- Hao Wang 0127 — University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
- Hao Wang 0128 — University of California San Diego, Department of Radiology, Center for Multimodal Imaging and Genetics, La Jolla, CA, USA
- Hao Wang 0129 — Hangzhou Applied Acoustics Research Institute, Science and Technology On Sonar Laboratory, China
- Hao Wang 0130 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
- Hao Wang 0131 — Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Department of Pathology, Beijing, China
- Hao Wang 0132 — China Telecom Corporation Limited Beijing Research Institute, China
- Hao Wang 0133 — Zhejiang University, School of Mechanical Engineering, Institute of Industrial Engineering, Hangzhou, China
- Hao Wang 0134 — Wuhan University, School of Cyber Science and Engineering, MOE Key Laboratory of Aerospace Information Security and Trusted Computing, China
- Hao Wang 0135 — Jilin University, College of Computer Science and Technology, Changchun, China
- Hao Wang 0136 — Sichuan University, College of Physics, China
- Hao Wang 0137 — Tianjin University, School of Electrical and Information Engineering, China
- Hao Wang 0138 — China University of Petroleum, College of New Energy, Qingdao, China
- Hao Wang 0139 — Beijing University of Posts and Telecommunications, School of Computer Science, China
- Hao Wang 0140 — Huawei 2012 Lab, China
- Hao Wang 0141 — ChuHang Technology Co. Ltd., Nanjing, China
- Hao Wang 0142 — Henan Normal University, School of Software, Xinxiang, China
- Hao Wang 0143 — University of Sydney, School of Computer Science, NSW, Australia
- Hao Wang 0144 — Southeast University, School of Automation, Nanjing, China
- Hao Wang 0145 — Dalian Polytechnic University, China
- Hao Wang 0146 — Guizhou University, College of Big Data and Information Engineering, Guiyang, China
- Hao Wang 0147 — Tianjin University of Science and Technology, China
- Hao Wang 0148 — Nanjing University, School of Electronic Science and Engineering, China
- Hao Wang 0149 — Kwansei Gakuin University, Department of Human System Interactio, Japan
- Hao Wang 0150 — State Grid Electric Power Research Institute, China
- Hao Wang 0151 — Northeastern University, School of Information Science and Engineering, China
- Hao Wang 0152 — Huazhong University of Science & Technology, School of Electronic Information and Communications, Wuhan, China
- Hao Wang 0153 — Northeastern University, College of Information Science and Engineering, Shenyang, China (and 1 more)
- Hao Wang 0154 — Civil Aviation University of China, Engineering Technology Training Center, Tianjin, China
- Hao Wang 0155 — York University, Department of Earth and Space Science and Engineering, Toronto, ON, Canada
- Hao Wang 0156 — Chinese Academy of Sciences, Institute of Geology and Geophysics, Key Laboratory of Petroleum Resources Research, Beijing, China (and 2 more)
- Hao Wang 0157 — Rutgers University, School of Engineering, Department of Civil and Environmental Engineering, Piscataway, NJ, USA (and 1 more)
- Hao Wang 0158 — Jinan University, Institute for Environmental and Climate Research, Guangzhou, China (and 2 more)
- Hao Wang 0159 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Resources and Environmental Information System, Beijing, China (and 1 more)
- Hao Wang 0160 — Chengdu University of Information Technology, College of Atmospheric Sounding, China
- Hao Wang 0161 — University of Science and Technology of China, Department of Automation, Hefei, China
- Hao Wang 0162 — Chinese Academy of Sciences, Aerospace Information Research Institute, Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing, China (and 1 more)
- Hao Wang 0163 — Beijing Institute of Technology, Southeast Academy of Information Technology, School of Computer Science and Technology, China
- Hao Wang 0164 — Shandong University, School of Software, Jinan, China
- Hao Wang 0165 — China Academy of Railway Sciences Co. Ltd., Railway Infrastructure Research Institute, Beijing, China
- Hao Wang 0166 — Anhui Normal University, Wuhu, China
- Hao Wang 0167 — Nankai University, College of Electronic Information and Optical Engineering, Tianjin, China
- Hao Wang 0168 — Chinese Academy of Medical Sciences, Peking Union Medical College, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China
- Hao Wang 0169 — Hefei University of Technology, School of Microelectronics, Hefei, China
- Hao Wang 0170 — Liaoning University of Technology, College of Science, Jinzhou, China
- Hao Wang 0171 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Hao Wang 0172 — National University of Defense Technology, College of Systems Engineering, Changsha, China
- Hao Wang 0173 — Northeast Agricultural University, College of Electrical and Information, Harbin, China
- Hao Wang 0174 — Southeast University-Monash University Suzhou Joint Graduate School, Suzhou, China
- Hao Wang 0175 — Shenyang University of Technology, School of Electrical Engineering, China
- Hao Wang 0176 — Clemson University, School of Computing, SC, USA
- Hao Wang 0177 — Zhejiang University of Technology, College of Mechanical Engineering, Hangzhou, China
- Hao Wang 0178 — Changsha Normal University, School of Foreign Language, China
- Hao Wang 0179 — Huawei Technologies Company Ltd., Beijing, China (and 1 more)
- Hao Wang 0180 — Ratidar Technologies LLC, Beijing, China (and 1 more)
- Hao Wang 0181 — Purdue University, Department of Computer Graphics Technology, West Lafayette, IN, USA
- Hao Wang 0182 — Northwestern Polytechnical University, Xi'an, China
- Hao Wang 0183 — University of California, Los Angeles, CA, USA
- Hao Wang 0184 — Huawei Technologies, Shenzhen, China (and 3 more)
- Hao Wang 0186 — Peking University Third Hospital, Cancer Center, Department of Radiation Oncology, Beijing, China
- Hao Wang 0187 — Fuyang Teachers College, School of Computer and Information Engineering, China
- Hao Wang 0188 — Zhengzhou University, School of Electrical and Information Engineering, China
- Hao Wang 0189 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
- Hao Wang 0190 — University of Electronic Science and Technology of China, Department of Electrical Engineering, Chengdu, China
- Hao Wang 0191 — Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China
- Hao Wang 0192 — China University of Petroleum (East China), College of Control Science and Engineering, Qingdao, China
- Hao Wang 0193 — Beijing Institute of Technology, School of Computer Science and Technology, China
- Hao Wang 0194 — Nanjing University, School of Information Management, China (and 1 more)
- Hao Wang 0195 — Qingdao University, Institute of Complexity Science, College of Automation, China
- Hao Wang 0196 — Yunnan University, School of Information Science and Engineering, Kunming, China
- Hao Wang 0197 — University of Electronic Science and Technology of China, School of Information and Software Engineering, Chengdu, China
- Hao Wang 0198 — Harbin Institute of Technology, Control and Simulation Center, Harbin, China
- Hao Wang 0199 — Alibaba Group, Speech Lab, Singapore
- Hao Wang 0200 — Qingdao University, School of Business, Qingdao, China
- Hao Wang 0201 — Harbin Institute of Technology, State Key Laboratory of Robotics and Systems, Harbin, China
- Hao Wang 0202 — China Three Gorges Corporation, Institute of Science and Technology, China
- Hao Wang 0203 — Lanzhou University of Technology, College of Electronic and Information Engineering, China
- Hao Wang 0204 — Institute of Applied Physics and Computational Mathematics, Beijing, China
- Hao Wang 0205 — Henan University of Technology, School of Artificial Intelligence and Big Data, Zhengzhou, China
- Hao Wang 0206 — Wuhan University of Technology, School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan, China
- Hao Wang 0207 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (and 1 more)
- Hao Wang 0208 — IBM China Research Laboratory, Beijing, China
- Hao Wang 0209 — Chinese Academy of Surveying and Mapping, Institute of Photogrammetry and Remote Sensing, Beijing, China
- Hao Wang 0210 — ByteDance
- Hao Wang 0211 — Xidian University, School of Artificial Intelligence, Joint International Research Laboratory of Intelligent Perception and Computation, Xi'an, China
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2020 – today
- 2024
- [j14]Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. Evol. Comput. 32(3): 205-210 (2024) - [j13]Hao Wang, Jianqi Hu, Andrea Morandi, Alfonso Nardi, Fei Xia, Xuanchen Li, Romolo Savo, Qiang Liu, Rachel Grange, Sylvain Gigan:
Large-scale photonic computing with nonlinear disordered media. Nat. Comput. Sci. 4(6): 429-439 (2024) - [c68]Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang:
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder. ECCV (78) 2024: 88-105 - [c67]Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang:
Transfer Learning of Surrogate Models via Domain Affine Transformation. GECCO 2024 - [c66]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO 2024 - [c65]Hao Wang, Kaifeng Yang, Michael Affenzeller:
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. ICML 2024 - [d13]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics - Reproducibility Files. Zenodo, 2024 - [i38]Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck:
Large-scale Benchmarking of Metaphor-based Optimization Heuristics. CoRR abs/2402.09800 (2024) - [i37]Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang:
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder. CoRR abs/2403.05352 (2024) - [i36]Hao Wang, Jianqi Hu, YoonSeok Baek, Kohei Tsuchiyama, Malo Joly, Qiang Liu, Sylvain Gigan:
Optical next generation reservoir computing. CoRR abs/2404.07857 (2024) - [i35]Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés-Piña, Oliver Schütze:
A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms. CoRR abs/2405.05721 (2024) - 2023
- [j12]Thomas H. W. Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye:
Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. Evol. Comput. 31(2): 81-122 (2023) - [j11]Zhengtian Ai, Ingo Heinle, Christian Schelske, Hao Wang, Peter Krause, Thomas Bäck:
Classification-based process parameter recommendation in sheet metal forming. J. Ind. Inf. Integr. 34: 100458 (2023) - [c64]Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck:
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC 2023: 1-9 - [c63]André H. Deutz, Michael Emmerich, Hao Wang:
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. EMO 2023: 405-418 - [c62]Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features. EvoApplications@EvoStar 2023: 335-350 - [c61]Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye:
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion 2023: 938-945 - [c60]Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bäck, Hao Wang:
Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. QCE 2023: 83-88 - [c59]Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko:
Application of quantum-inspired generative models to small molecular datasets. QCE 2023: 342-348 - [p2]Hao Wang, Kaifeng Yang:
Bayesian Optimization. Many-Criteria Optimization and Decision Analysis 2023: 271-297 - [e3]Michael Emmerich, André H. Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva:
Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings. Lecture Notes in Computer Science 13970, Springer 2023, ISBN 978-3-031-27249-3 [contents] - [d12]Hao Wang, Michael Emmerich, André H. Deutz, Víctor Adrián Sosa-Hernández, Oliver Schütze:
Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems". Zenodo, 2023 - [i34]Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck:
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR abs/2302.01464 (2023) - [i33]Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features. CoRR abs/2302.09075 (2023) - [i32]Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko:
Application of quantum-inspired generative models to small molecular datasets. CoRR abs/2304.10867 (2023) - [i31]Jiajie Fan, Laure Vuaille, Hao Wang, Thomas Bäck:
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis. CoRR abs/2307.10166 (2023) - [i30]Hao Wang, Jianqi Hu, Andrea Morandi, Alfonso Nardi, Fei Xia, Xuanchen Li, Romolo Savo, Qiang Liu, Rachel Grange, Sylvain Gigan:
Large-scale photonic computing with nonlinear disordered media. CoRR abs/2310.07690 (2023) - [i29]Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang:
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models. CoRR abs/2311.11207 (2023) - 2022
- [j10]Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck:
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. IEEE Trans. Evol. Comput. 26(6): 1526-1538 (2022) - [j9]Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck:
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim. 2(1): 3:1-3:29 (2022) - [c58]Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck:
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. GECCO Companion 2022: 49-50 - [c57]Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck:
Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. GECCO Companion 2022: 51-52 - [c56]Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck:
Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. GECCO 2022: 867-875 - [c55]Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye:
Benchmarking and analyzing iterative optimization heuristics with IOH profiler. GECCO Companion 2022: 1334-1341 - [c54]Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr:
Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. PPSN (1) 2022: 46-60 - [c53]Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. PPSN (1) 2022: 63-75 - [c52]Kirill A. Antonov, Elena Raponi, Hao Wang, Carola Doerr:
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. PPSN (1) 2022: 118-131 - [d11]Anja Jankovic, Ana Kostovska, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr:
Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data. Zenodo, 2022 - [d10]Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck:
Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset. Zenodo, 2022 - [d9]Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart:
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features - Dataset. Zenodo, 2022 - [i28]Dominik Schröder, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points. CoRR abs/2204.06539 (2022) - [i27]Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck:
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms. CoRR abs/2204.09353 (2022) - [i26]Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr:
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features. CoRR abs/2204.09483 (2022) - [i25]Kirill A. Antonov, Elena Raponi, Hao Wang, Carola Doerr:
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. CoRR abs/2204.13753 (2022) - [i24]Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich:
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. CoRR abs/2205.05505 (2022) - [i23]André H. Deutz, Michael T. M. Emmerich, Hao Wang:
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. CoRR abs/2211.04171 (2022) - 2021
- [j8]Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck:
Bayesian neural architecture search using a training-free performance metric. Appl. Soft Comput. 106: 107356 (2021) - [j7]Markus Thill, Wolfgang Konen, Hao Wang, Thomas Bäck:
Temporal convolutional autoencoder for unsupervised anomaly detection in time series. Appl. Soft Comput. 112: 107751 (2021) - [j6]Christian Grimme, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, Michael Emmerich:
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Comput. Oper. Res. 136: 105489 (2021) - [c51]Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bäck:
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. DSAA 2021: 1-9 - [c50]Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov:
On Statistical Analysis of MOEAs with Multiple Performance Indicators. EMO 2021: 26-37 - [c49]Charles Moussa, Hao Wang, Henri Calandra, Thomas Bäck, Vedran Dunjko:
Tabu-Driven Quantum Neighborhood Samplers. EvoCOP 2021: 100-119 - [c48]Jacob de Nobel, Hao Wang, Thomas Bäck:
Explorative data analysis of time series based algorithm features of CMA-ES variants. GECCO 2021: 510-518 - [c47]Rick Boks, Anna V. Kononova, Hao Wang:
Quantifying the impact of boundary constraint handling methods on differential evolution. GECCO Companion 2021: 1199-1207 - [c46]Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Is there anisotropy in structural bias? GECCO Companion 2021: 1243-1250 - [c45]Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
A new acquisition function for robust Bayesian optimization of unconstrained problems. GECCO Companion 2021: 1344-1345 - [c44]Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. GECCO Companion 2021: 1375-1384 - [d8]Diederick Vermetten, Hao Wang, Furong Ye, Carola Doerr, Thomas Bäck:
IOHanalyzer version 0.1.6.1 + example datasets. Zenodo, 2021 - [d7]Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck:
Data sets for the study "Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.". Zenodo, 2021 - [i22]Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules. CoRR abs/2102.12905 (2021) - [i21]Jacob de Nobel, Hao Wang, Thomas Bäck:
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants. CoRR abs/2104.08098 (2021) - [i20]Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Is there Anisotropy in Structural Bias? CoRR abs/2105.04480 (2021) - [i19]Rick Boks, Anna V. Kononova, Hao Wang:
Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution. CoRR abs/2105.06757 (2021) - [i18]Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck:
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. CoRR abs/2106.06304 (2021) - [i17]Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR abs/2111.04077 (2021) - 2020
- [j5]Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael Emmerich, Thomas Bäck:
Cluster-based Kriging approximation algorithms for complexity reduction. Appl. Intell. 50(3): 778-791 (2020) - [j4]Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck:
Benchmarking discrete optimization heuristics with IOHprofiler. Appl. Soft Comput. 88: 106027 (2020) - [j3]Víctor Adrián Sosa-Hernández, Oliver Schütze, Hao Wang, André H. Deutz, Michael Emmerich:
The Set-Based Hypervolume Newton Method for Bi-Objective Optimization. IEEE Trans. Cybern. 50(5): 2186-2196 (2020) - [c43]Marios Kefalas, Milan Koch, Victor Geraedts, Hao Wang, Martijn Tannemaat, Thomas Bäck:
Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data. IEEE BigData 2020: 1176-1185 - [c42]Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Can Single Solution Optimisation Methods Be Structurally Biased? CEC 2020: 1-9 - [c41]Diederick Vermetten, Hao Wang, Thomas Bäck, Carola Doerr:
Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case. GECCO 2020: 654-662 - [c40]Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Integrated vs. sequential approaches for selecting and tuning CMA-ES variants. GECCO 2020: 903-912 - [c39]Hao Wang, Carola Doerr, Ofer M. Shir, Thomas Bäck:
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion 2020: 1043-1054 - [c38]Rick Boks, Hao Wang, Thomas Bäck:
A modular hybridization of particle swarm optimization and differential evolution. GECCO Companion 2020: 1418-1425 - [c37]Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. IJCNN 2020: 1-9 - [c36]Zhengtian Ai, Ingo Heinle, Christian Schelske, Hao Wang, Peter Krause, Thomas Bäck:
A Classification-based Solution For Recommending Process Parameters of Production Processes Without Quality Measures. ISM 2020: 600-607 - [c35]Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr:
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. PPSN (1) 2020: 169-183 - [c34]Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Can Compact Optimisation Algorithms Be Structurally Biased? PPSN (1) 2020: 229-242 - [c33]Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck:
Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability. PPSN (2) 2020: 699-713 - [c32]Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke:
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. SSCI 2020: 996-1003 - [c31]Bas van Stein, Hao Wang, Thomas Bäck:
Neural Network Design: Learning from Neural Architecture Search. SSCI 2020: 1341-1349 - [c30]Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. SSCI 2020: 2965-2974 - [c29]Milan Koch, Hao Wang, Robert Bürgel, Thomas Bäck:
Towards Data-driven Services in Vehicles. VEHITS 2020: 45-52 - [e2]Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann:
Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12269, Springer 2020, ISBN 978-3-030-58111-4 [contents] - [e1]Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann:
Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12270, Springer 2020, ISBN 978-3-030-58114-5 [contents] - [d6]Rick Boks, Hao Wang, Thomas Bäck:
Experimental Results for the study "A Modular Hybridization of Particle Swarm Optimization and Differential Evolution". Zenodo, 2020 - [d5]Sibghat Ullah, Hao Wang, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff:
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. Zenodo, 2020 - [d4]Sibghat Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff:
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. Zenodo, 2020 - [d3]Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck:
The Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm withConfigurable Crossover Probability". Version 1. Zenodo, 2020 [all versions] - [d2]Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck:
Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability". Version 2. Zenodo, 2020 [all versions] - [d1]Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck:
Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability". Version 3. Zenodo, 2020 [all versions] - [i16]Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck:
Bayesian Neural Architecture Search using A Training-Free Performance Metric. CoRR abs/2001.10726 (2020) - [i15]Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck:
Benchmarking a $(μ+λ)$ Genetic Algorithm with Configurable Crossover Probability. CoRR abs/2006.05889 (2020) - [i14]Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case. CoRR abs/2006.06586 (2020) - [i13]Rick Boks, Hao Wang, Thomas Bäck:
A Modular Hybridization of Particle Swarm Optimization and Differential Evolution. CoRR abs/2006.11886 (2020) - [i12]Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr:
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. CoRR abs/2007.00925 (2020) - [i11]Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck:
IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic. CoRR abs/2007.03953 (2020) - [i10]Bas van Stein, Hao Wang, Thomas Bäck:
Neural Network Design: Learning from Neural Architecture Search. CoRR abs/2011.00521 (2020) - [i9]Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov:
On Statistical Analysis of MOEAs with Multiple Performance Indicators. CoRR abs/2012.00886 (2020) - [i8]Noor H. Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter:
Squirrel: A Switching Hyperparameter Optimizer. CoRR abs/2012.08180 (2020)
2010 – 2019
- 2019
- [j2]Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich:
Search Dynamics on Multimodal Multiobjective Problems. Evol. Comput. 27(4): 577-609 (2019) - [j1]Hao Wang, Michael Emmerich, Thomas Bäck:
Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. 27(4): 699-725 (2019) - [c28]Milan Koch, Victor Geraedts, Hao Wang, Martijn Tannemaat, Thomas Bäck:
Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients. IEEE BigData 2019: 4845-4852 - [c27]Hao Wang, Yitan Lou, Thomas Bäck:
Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution. CEC 2019: 2649-2656 - [c26]Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, Mike Preuss:
On the potential of evolution strategies for neural network weight optimization. GECCO (Companion) 2019: 191-192 - [c25]Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano:
Bayesian performance analysis for black-box optimization benchmarking. GECCO (Companion) 2019: 1789-1797 - [c24]Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck:
Benchmarking discrete optimization heuristics with IOHprofiler. GECCO (Companion) 2019: 1798-1806 - [c23]Bas van Stein, Hao Wang, Thomas Bäck:
Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization. IJCNN 2019: 1-7 - [c22]Sina Däubener, Sebastian Schmitt, Hao Wang, Peter Krause, Thomas Bäck:
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms. ICDM 2019: 161-175 - [c21]Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. SSCI 2019: 819-828 - [c20]Teddy Etoeharnowo, Koen Castelein, Hao Wang, Thomas Bäck:
Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study. SSCI 2019: 2295-2302 - [i7]Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES. CoRR abs/1912.05899 (2019) - [i6]Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck:
Benchmarking Discrete Optimization Heuristics with IOHprofiler. CoRR abs/1912.09237 (2019) - 2018
- [c19]Hao Wang, Michael Emmerich, Thomas Bäck:
Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization. CEC 2018: 1-8 - [c18]Hao Wang, Thomas Bäck:
Ranking empirical cumulative distribution functions using stochastic and pareto dominance. GECCO (Companion) 2018: 257-258 - [c17]Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck:
Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones. GECCO 2018: 951-958 - [c16]Milan Koch, Hao Wang, Thomas Bäck:
Machine Learning for Predicting the Damaged Parts of a Low Speed Vehicle Crash. ICDIM 2018: 179-184 - [c15]Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck:
A Novel Uncertainty Quantification Method for Efficient Global Optimization. IPMU (3) 2018: 480-491 - [r1]Michael Emmerich, Ofer M. Shir, Hao Wang:
Evolution Strategies. Handbook of Heuristics 2018: 89-119 - [i5]Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck:
Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes. CoRR abs/1808.05850 (2018) - [i4]Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, Thomas Bäck:
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. CoRR abs/1810.05281 (2018) - [i3]Bas van Stein, Hao Wang, Thomas Bäck:
Automatic Configuration of Deep Neural Networks with EGO. CoRR abs/1810.05526 (2018) - 2017
- [c14]Hao Wang, André H. Deutz, Thomas Bäck, Michael Emmerich:
Hypervolume Indicator Gradient Ascent Multi-objective Optimization. EMO 2017: 654-669 - [c13]Sander van Rijn, Hao Wang, Bas van Stein, Thomas Bäck:
Algorithm configuration data mining for CMA evolution strategies. GECCO 2017: 737-744 - [c12]Hao Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck:
Time complexity reduction in efficient global optimization using cluster kriging. GECCO 2017: 889-896 - [c11]Sheir Yarkoni, Hao Wang, Aske Plaat, Thomas Bäck:
Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning. QTOP@NetSys 2017: 157-168 - [c10]Hao Wang, Bas van Stein, Michael Emmerich, Thomas Bäck:
A new acquisition function for Bayesian optimization based on the moment-generating function. SMC 2017: 507-512 - [i2]Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck:
Cluster-based Kriging Approximation Algorithms for Complexity Reduction. CoRR abs/1702.01313 (2017) - 2016
- [c9]Hao Wang, Michael T. M. Emmerich, Thomas Bäck:
Balancing risk and expected gain in kriging-based global optimization. CEC 2016: 719-727 - [c8]Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck:
Fuzzy clustering for Optimally Weighted Cluster Kriging. FUZZ-IEEE 2016: 939-945 - [c7]Zhiwei Yang, Hao Wang, Kaifeng Yang, Thomas Bäck, Michael Emmerich:
SMS-EMOA with multiple dynamic reference points. ICNC-FSKD 2016: 282-288 - [c6]Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael Emmerich:
Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. PPSN 2016: 962-972 - [c5]Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck:
Evolving the structure of Evolution Strategies. SSCI 2016: 1-8 - [p1]Michael Emmerich, Kaifeng Yang, André H. Deutz, Hao Wang, Carlos M. Fonseca:
A Multicriteria Generalization of Bayesian Global Optimization. Advances in Stochastic and Deterministic Global Optimization 2016: 229-242 - [i1]Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck:
Evolving the Structure of Evolution Strategies. CoRR abs/1610.05231 (2016) - 2015
- [c4]Hao Wang, Thomas Bäck, Michael T. M. Emmerich:
Multi-point Efficient Global Optimization Using Niching Evolution Strategy. EVOLVE 2015: 146-162 - [c3]Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck, Michael Emmerich:
Optimally Weighted Cluster Kriging for Big Data Regression. IDA 2015: 310-321 - [c2]Hao Wang, Yiyi Ren, André H. Deutz, Michael T. M. Emmerich:
On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization. NEO 2015: 175-203 - 2014
- [c1]Hao Wang, Michael Emmerich, Thomas Bäck:
Mirrored orthogonal sampling with pairwise selection in evolution strategies. SAC 2014: 154-156
Coauthor Index
aka: Thomas H. W. Bäck
aka: Bas van Stein
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