Genetic Programming Bibliography entries for Jhe-Yu Liou 
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8612
GP coauthors/coeditors: 
Stephanie Forrest,
Carole-Jean Wu,
Xiaodong Wang,
Muaaz Gul Awan,
Steven A Hofmeyr,
Kirtus Leyba,
Petr Sulc,
Genetic Programming Articles by Jhe-Yu Liou
Genetic Programming conference papers by Jhe-Yu Liou
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  Jhe-Yu Liou and  Muaaz Awan and  Steven Hofmeyr and                  Stephanie Forrest and Carole-Jean Wu.
Understanding the Power of Evolutionary Computation                 for GPU Code Optimization. In
2022 IEEE International Symposium on Workload                 Characterization (IISWC), pages 185-198, Austin, TX, USA, 2022.
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  Jhe-Yu Liou and  Xiaodong Wang and                  Stephanie Forrest and Carole-Jean Wu.
GEVO-ML: A Proposal for Optimizing ML Code with                 Evolutionary Computation. In
 Richard Allmendinger and  Hugo Terashima Marin and                  Efren Mezura Montes and Thomas Bartz-Beielstein and                  Bogdan Filipic and Ke Tang and David Howard and                  Emma Hart and Gusz Eiben and Tome Eftimov and                  William La Cava and Boris Naujoks and Pietro Oliveto and                  Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and                  Xiaodong Li and Saul Zapotecas and Qingfu Zhang and                  Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and                  Hisao Ishibuchi and Jonathan Fieldsend and                  Ozgur Akman and Khulood Alyahya and Juergen Branke and                  John R. Woodward and Daniel R. Tauritz and Marco Baioletti and                  Josu Ceberio Uribe and John McCall and                  Alfredo Milani and Stefan Wagner and Michael Affenzeller and                  Bradley Alexander and Alexander (Sandy) Brownlee and                  Saemundur O. Haraldsson and Markus Wagner and                  Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and                  Pablo Valledor Pellicer and Thomas Stuetzle and                  Matthew Johns and Nick Ross and Ed Keedwell and                  Herman Mahmoud and David Walker and Anthony Stein and                  Masaya Nakata and David Paetzel and Neil Vaughan and                  Stephen Smith and Stefano Cagnoni and Robert M. Patton and                  Ivanoe De Falco and Antonio Della Cioppa and                  Umberto Scafuri and Ernesto Tarantino and                  Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and                  Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and                  Richard Everson and Handing Wang and Yaochu Jin and                  Erik Hemberg and Riyad Alshammari and                  Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and                  Ponnuthurai Nagaratnam and Roman Senkerik editors,
Proceedings of the 2020 Genetic and Evolutionary                 Computation Conference Companion, pages 1849-1856, internet, 2020. Association for Computing Machinery.
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  Jhe-Yu Liou and  Stephanie Forrest and  Carole-Jean Wu.
Uncovering Performance Opportunities by Relaxing                 Program Semantics of GPGPU Kernels. In
 Adwait Jog and  Onur Kayiran and  Ashutosh Pattnaik editors,
12th Workshop on General Purpose Processing Using GPU                 (GPGPU 2019) @ ASPLOS 2019, Providence, RI, USA, 2019.
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  Jhe-Yu Liou and  Stephanie Forrest and  Carole-Jean Wu.
Genetic Improvement of GPU Code. In
 Justyna Petke and  Shin Hwei Tan and                  William B. Langdon and Westley Weimer editors,
GI-2019, ICSE workshops proceedings, pages 20-27, Montreal, 2019. IEEE.
Best Paper.
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Genetic Programming other entries for Jhe-Yu Liou