Artificial Intelligence

Artificial Intelligence (AI) can be viewed as the art of enabling computers to make intelligent choices in settings where the best choice cannot easily be represented as a function of data available. This could either in a single-shot fashion, where, e.g., an object in an image or video is to be identified, or in a continuous scenario, where, e.g., robots need to navigate in an ever-changing environment to accomplish their tasks and/or joint overall objectives.

Publications

• Zhize WU (吴志泽), Chang-Jiang DU (杜长江), Xin-Qi WANG (汪新琪), Le ZOU (邹乐), Fan CHENG, Teng LI, Fudong NIAN, Thomas Weise (汤卫思), and Xiao-Feng WANG (王晓峰): Domain Adaptation via Feature Disentanglement for Cross-Domain Image Classification. Applied Soft Computing Journal (ASOC). 172:112868. March 2025.
  AI, more infos.
• Zhize WU (吴志泽), Pengpeng SUN (孙鹏彭), Xin CHEN (陈鑫), Keke TANG, Tong XU (徐童), Le ZOU (邹乐), Xiao-Feng WANG (王晓峰), Tan MING (檀明), Fan CHENG, and Thomas Weise (汤卫思): SelfGCN: Graph Convolution Network With Self-Attention for Skeleton-Based Action Recognition. IEEE Transactions on Image Processing (TIP) 33:4391–4403. July 2024.
  AI, more infos.
• Xiao-Feng WANG (王晓峰), Menglei KANG, Yan CHEN (陈岩), Wenxiang JIANG, Mengyuan WANG, Thomas Weise (汤卫思), Tan MING (檀明), Lixiang XU (徐立祥), Xinlu LI (李新路), Le ZOU (邹乐), and Chen ZHANG (张琛): Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery. Remote Sensing 15(8):1980. April 2023.
  AI, more infos.
• Yan CHEN (陈岩), Wenxiang JIANG, Mengyuan WANG, Menglei KANG, Thomas Weise (汤卫思), Xiao-Feng WANG (王晓峰), Tan MING (檀明), Lixiang XU (徐立祥), and Chen ZHANG (张琛): LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery. Remote Sensing 14(24):6193. December 2022.
  AI, more infos.
• Zhiyang LIU (刘志洋), Thomas Weise (汤卫思), and Zhize WU (吴志泽): Detection of Personal Protective Equipment in Factories: A Survey and Benchmark Dataset. 18th International Conference Intelligent Computing Methodologies (ICIC'2022), August 7-11, 2022, Xi'an, China, Part III, pages 448–459. Lecture Notes in Computer Science (LNCS), sub-series LNAI, volume 13395.
  benchmarking, AI, more infos.
• Shuoyi RAN (冉烁依), Thomas Weise (汤卫思), and Zhize WU (吴志泽): Chemical Safety Sign Detection: A Survey and Benchmark. 2022 International Joint Conference on Neural Networks (IJCNN'2022), part of the IEEE World Congress on Computational Intelligence (IEEE WCCI'2022), July 18-23, 2022, Padova, Italy. IEEE.
  benchmarking, AI, more infos.
• Zhize WU (吴志泽), Jian XU, Yan WANG, Fei SUN (孙斐), Tan MING (檀明), and Thomas Weise (汤卫思): Hierarchical Fusion and Divergent Activation based Weakly Supervised Learning for Object Detection from Remote Sensing Images. Information Fusion 80:23-43, April 2022.
  AI, more infos.
• Zhize WU (吴志泽), Xiao-Feng WANG (王晓峰), Le ZOU (邹乐), Lixiang XU (徐立祥), Xinlu LI (李新路), and Thomas Weise (汤卫思): Hierarchical Object Detection for Very High-Resolution Satellite Images. Applied Soft Computing Journal (ASOC) 113(Part A):107885, December 2021.
  AI, more infos.
• Lixiang XU (徐立祥), Lixin CUI, Thomas Weise (汤卫思), Xinlu LI (李新路), Zhize WU (吴志泽), Feiping NIE, Enhong CHEN (陈恩红), and Yuanyan TANG: Semi-Supervised Multi-Layer Convolution Kernel Learning in Credit Evaluation. Pattern Recognition 120(108125). December 2021.
  AI, more infos.
• Zhize WU (吴志泽), Chang ZOU, Yan WANG, Tan MING (檀明), and Thomas Weise (汤卫思): Rotation-Aware Representation Learning for Remote Sensing Image Retrieval. Information Sciences 572:404-423. September 2021.
  AI, more infos.
• Le ZOU (邹乐), Liang-Tu SONG, Thomas Weise (汤卫思), Xiao-Feng WANG (王晓峰), Qian-Jing HUANG, Rui DENG, and Zhize WU (吴志泽): A Survey on Regional Level Set Image Segmentation Models based on the Energy Functional Similarity Measure. Neurocomputing 42:606-622. September 2021.
  AI, more infos.
• Zhize WU (吴志泽), Thomas Weise (汤卫思), Yan WANG, and Yongjun WANG: Convolutional Neural Network based Weakly Supervised Learning for Aircraft Detection from Remote Sensing Images. IEEE Access 8:158097-158106. August 2020.
  AI, more infos.
• Xinlu LI (李新路), Mengfei Xu, Jiabo XU, Thomas Weise (汤卫思), Le ZOU (邹乐), Fei SUN (孙斐), and Zhize WU (吴志泽): Image Retrieval Using a Deep Attention-Based Hash. IEEE Access 8:142229-142242. July 2020.
  AI, more infos.
• Lalin Heng and Thomas Weise (汤卫思): Intrusion Detection System Using Convolutional Neuronal Networks: A Cognitive Computing Approach for Anomaly Detection based on Deep Learning. 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC'2019), July 23-25, 2019, Polytechnic University of Milan, Italy, pages 34–40. IEEE Computer Society.
  distributed systems, AI, more infos.
• Thomas Weise (汤卫思), Mingxu WAN (万明绪), Ke TANG (唐珂), and Xin YAO (姚新): Evolving Exact Integer Algorithms with Genetic Programming. IEEE Congress on Evolutionary Computation (CEC'2014), part of the World Congress on Computational Intelligence (WCCI'2014), pages 1816–1823, July 6-11, 2014, Beijing, China. Los Alamitos, CA, USA: IEEE Computer Society Press.
  GP, FFA, algorithm synthesis, AI, more infos.
• Thomas Weise (汤卫思), Mingxu WAN (万明绪), Ke TANG (唐珂), Pu WANG, Alexandre Devert, and Xin YAO (姚新): Frequency Fitness Assignment. IEEE Transactions on Evolutionary Computation (IEEE-TEVC) 18(2):226-243. April 2014.
  FFA, GP, algorithm synthesis, EAs, AI, more infos.
• Pu WANG, Ke TANG (唐珂), Thomas Weise (汤卫思), Edward P.K. Tsang (曾炳均), and Xin YAO (姚新): Multiobjective Genetic Programming for Maximizing ROC Performance. Neurocomputing 125:102-118. February, 2014.
  GP, AI, more infos.
• Mani Abedini, Michael Kirley, and Raymond Chiong: GPU Accelerated eXtended Classifier System. IEEE Symposium on Computational Intelligence and Data Mining (CIDM'2013), part of the IEEE Symposium Series on Computational Intelligence (SSCI'2013), April 16-19, 2013, Singapore, pages 293–300. Los Alamitos, CA, USA: IEEE Computer Society Press.
  AI, more infos.
• Thomas Weise (汤卫思) and Ke TANG (唐珂): Evolving Distributed Algorithms with Genetic Programming. IEEE Transactions on Evolutionary Computation (TEVC) 16(2):242-265. April 2012.
  GP, algorithm synthesis, distributed systems, AI, more infos.
• Xiannian (Eric) FAN, Ke TANG (唐珂), and Thomas Weise (汤卫思): Margin-Based Over-Sampling Method for Learning From Imbalanced Datasets. 15th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD'2011), Part II, May 24-27, 2011, Shenzhen, Guangdong, China, Lecture Notes in Computer Science (LNCS), volume 6635, pages 309–320. Berlin, Germany: Springer-Verlag GmbH.
  AI, more infos.
• Mingxu WAN (万明绪), Thomas Weise (汤卫思), and Ke TANG (唐珂): Novel Loop Structures and the Evolution of Mathematical Algorithms. 14th European Conference on Genetic Programming (EuroGP'2011), April 27-29, 2011, Torino, Italy, Lecture Notes in Computer Science (LNCS), volume 6621/2011, pages 49–60. Berlin, Germany: Springer-Verlag GmbH.
  GP, algorithm synthesis, AI, metaheuristics, more infos.
• Pu WANG, Thomas Weise (汤卫思), and Raymond Chiong: Novel Evolutionary Algorithms for Supervised Classification Problems: An Experimental Study. Evolutionary Intelligence 4(1):3–16. March 2011.
  GP, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思) and Michael Zapf: Evolving Distributed Algorithms with Genetic Programming: Election. 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), June 12-14, 2009, Shanghai, China, pages 577–584. New York, NY, USA ACM Press.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思): Evolving Distributed Algorithms with Genetic Programming. PhD Thesis published in May 2009 at the Department of Electrical Engineering and Computer Science (FB16) of the University of Kassel in Kassel, Germany.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思), Michael Zapf, Mohammad Ullah Khan, and Kurt Geihs: Combining Genetic Programming and Model-Driven Development. International Journal of Computational Intelligence and Applications (IJCIA), 8(1):37–52. March 2009.
  GP, algorithm synthesis, AI, metaheuristics, more infos.
• Michael Zapf and Thomas Weise (汤卫思): Can Solutions Emerge? 3rd International Workshop on Self-Organizing Systems (IWSOS'2008), December 10-12, 2008, Vienna, Austria. Lecture Notes in Computer Science (LNCS), volume 5343/2008, pages 299–304. Berlin, Germany: Springer-Verlag GmbH.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Michael Zapf and Thomas Weise (汤卫思): Applicability of Emergence Engineering to Distributed Systems Scenarios. 6th European Workshop on Multi-Agent Systems (EUMAS'2008), December 18-19, 2008, Bath, UK.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思), Michael Zapf, and Kurt Geihs: Evolving Proactive Aggregation Protocols. 11th European Conference on Genetic Programming (EuroGP'2008), March 26-28, 2008, Naples, Italy, Lecture Notes in Computer Science (LNCS) volume 4971/2008, pages 254–265. Berlin, Germany: Springer-Verlag GmbH.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Michael Zapf and Thomas Weise (汤卫思): Offline Emergence Engineering For Agent Societies. 5th European Workshop on Multi-Agent Systems (EUMAS'2007), December 14, 2007, Hammamet, Tunesia.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思), Michael Zapf, and Kurt Geihs: Rule-based Genetic Programming. 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS'2007), December 10-12, 2007, Budapest, Hungary, pages 8–15. Piscataway, NJ, USA: IEEE Computer Society.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思), Michael Zapf, Mohammad Ullah Khan, and Kurt Geihs: Genetic Programming meets Model-Driven Development. 7th International Conference on Hybrid Intelligent Systems (HIS'2007), September 17-19, 2007, Kaiserslautern, Germany, pages 332–335. Piscataway, NJ, USA: IEEE Computer Society.
  GP, algorithm synthesis, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思), Kurt Geihs, and Philipp Andreas Baer: Genetic Programming for Proactive Aggregation Protocols. 8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA'2007), April 11-17, 2007, Warsaw, Poland, Part I, Lecture Notes in Computer Science (LNCS), volume 4431/2007, pages 167–173. Berlin, Germany: Springer-Verlag GmbH.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思) and Kurt Geihs: DGPF — An Adaptable Framework for Distributed Multi-Objective Search Algorithms Applied to the Genetic Programming of Sensor Networks. 2nd International Conference on Bioinspired Optimization Methods and their Applications (BIOMA'2006), October 9-10, 2006, Ljubljana, Slovenia, pages 157–166.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.
• Thomas Weise (汤卫思) and Kurt Geihs: Genetic Programming Techniques for Sensor Networks. Tagungsband: 5. GI/ITG KuVS Fachgesprächs “Drahtlose Sensornetze”, July 17-18, 2006, Stuttgart, Germany, pages 21–25.
  GP, algorithm synthesis, distributed systems, AI, metaheuristics, more infos.