Genetic Programming Bibliography entries for Qi Chen

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GP coauthors/coeditors: Baligh Al-Helali, Bing Xue, Mengjie Zhang, Harith Al-Sahaf, Ying Bi, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Ben Niu, Christian Raymond,

Genetic Programming Articles by Qi Chen

  1. Qi Chen and Bing Xue and Mengjie Zhang. Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. IEEE Transactions on Evolutionary Computation, 25(3):433-447, 2021. details

  2. Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming for Instance Transfer Learning in Symbolic Regression. IEEE Transactions on Cybernetics, 2020. details

  3. Qi Chen and Mengjie Zhang and Bing Xue. Structural Risk Minimisation-Driven Genetic Programming for Enhancing Generalisation in Symbolic Regression. IEEE Transactions on Evolutionary Computation, 23(4):703-717, 2019. details

  4. Qi Chen and Bing Xue and Mengjie Zhang. Improving Generalisation of Genetic Programming for Symbolic Regression with Angle-Driven Geometric Semantic Operators. IEEE Transactions on Evolutionary Computation, 23(3):488-502, 2019. details

  5. Harith Al-Sahaf and Ying Bi and Qi Chen and Andrew Lensen and Yi Mei and Yanan Sun and Binh Tran and Bing Xue and Mengjie Zhang. A survey on evolutionary machine learning. Journal of the Royal Society of New Zealand, 49(2):205-228, 2019. The 2019 Annual Collection of Reviews. details

  6. Qi Chen and Mengjie Zhang and Bing Xue. Feature Selection to Improve Generalisation of Genetic Programming for High-Dimensional Symbolic Regression. IEEE Transactions on Evolutionary Computation, 21(5):792-806, 2017. details

  7. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Multi-Tree Genetic Programming with New Operators for Transfer Learning in Symbolic Regression with Incomplete Data. IEEE Transactions on Evolutionary Computation. Accepted for future publication. details

Genetic Programming PhD doctoral thesis Qi Chen

Genetic Programming conference papers by Qi Chen

  1. Christian Raymond and Qi Chen and Bing Xue and Mengjie Zhang. Multi-objective Genetic Programming for Symbolic Regression with the Adaptive Weighted Splines Representation. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 165-166, internet, 2021. Association for Computing Machinery. details

  2. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 604-611, Krakow, Poland, 2021. details

  3. Christian Raymond and Qi Chen and Bing Xue and Mengjie Zhang. Adaptive Weighted Splines: A New Representation to Genetic Programming for Symbolic Regression. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 1003-1011, internet, 2020. Association for Computing Machinery. details

  4. Qi Chen and Bing Xue and Mengjie Zhang. Improving Symbolic Regression Based on Correlation between Residuals and Variables. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 922-930, internet, 2020. Association for Computing Machinery. details

  5. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Multi-Tree Genetic Programming for Feature Construction-Based Domain Adaptation in Symbolic Regression with Incomplete Data. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 913-921, internet, 2020. Association for Computing Machinery. details

  6. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 1-17, Seville, Spain, 2020. Springer Verlag. details

  7. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24250, internet, 2020. IEEE Press. details

  8. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24344, internet, 2020. IEEE Press. details

  9. Christian Raymond and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming with Rademacher Complexity for Symbolic Regression. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2657-2664, Wellington, New Zealand, 2019. IEEE Press. details

  10. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. In Jixue Liu and James Bailey editors, AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2-5, 2019, Proceedings, volume 11919, pages 523-535, 2019. Springer. details

  11. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. In Shivakumara Palaiahnakote and Gabriella Sanniti di Baja and Liang Wang and Wei Qi Yan editors, Pattern Recognition - 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised Selected Papers, Part II, volume 12047, pages 566-579, 2019. Springer. details

  12. Qi Chen and Bing Xue and Mengjie Zhang. Differential evolution for instance based transfer learning in genetic programming for symbolic regression. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz 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 Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 161-162, Prague, Czech Republic, 2019. ACM. details

  13. Qi Chen and Bing Xue and Mengjie Zhang. Instance based Transfer Learning for Genetic Programming for Symbolic Regression. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 3006-3013, Wellington, New Zealand, 2019. IEEE Press. details

  14. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 2395-2402, 2019. details

  15. Qi Chen and Mengjie Zhang and Bing Xue. Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression. In Yuhui Shi and Kay Chen Tan and Mengjie Zhang and Ke Tang and Xiaodong Li and Qingfu Zhang and Ying Tan and Martin Middendorf and Yaochu Jin editors, Proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, volume 10593, pages 422-434, Shenzhen, China, 2017. Springer. details

  16. Qi Chen and Mengjie Zhang and Bing Xue. New Geometric Semantic Operators in Genetic Programming: Perpendicular Crossover and Random Segment Mutation. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 223-224, Berlin, Germany, 2017. ACM. details

  17. Qi Chen and Bing Xue and Yi Mei and Mengjie Zhang. Geometric Semantic Crossover with an Angle-aware Mating Scheme in Genetic Programming for Symbolic Regression. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 229-245, Amsterdam, 2017. Springer Verlag. details

  18. Qi Chen and Mengjie Zhang and Bing Cue. Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 709-716, Denver, USA, 2016. ACM. details

  19. Qi Chen and Bing Xue and Ben Niu and Mengjie Zhang. Improving Generalisation of Genetic Programming for High-Dimensional Symbolic Regression with Feature Selection. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3793-3800, Vancouver, 2016. IEEE Press. details

  20. Qi Chen and Bing Xue and Mengjie Zhang. Generalisation and Domain Adaptation in GP with Gradient Descent for Symbolic Regression. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 1137-1144, Sendai, Japan, 2015. IEEE Press. details