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IC 2023 : The Third BenchCouncil International Symposium on Intelligent Computers, Algorithms, and Applications | |||||||||||||||
Link: https://www.benchcouncil.org/ic2023/ | |||||||||||||||
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Call For Papers | |||||||||||||||
IC 2023 Calls for Papers
========================================================== 2023 BenchCouncil International Symposium on Intelligent Computers, Algorithms, and Applications (IC 2023) In conjunction with Federated Intelligent Computing and Chip Conference (FICC 2023) Web: https://www.benchcouncil.org/ic2023/ Paper Submission Due (full and short papers): Aug 31, 2023, 11:59 PM AoE Notification: September 30, 2023, at 11:59 PM AoE Final Papers Due: October 31, 2023, at 11:59 PM AoE Conference Date: December 4-6, 2023 Venue: Sanya, Hainan Province, People’s Republic of China. Please note that citizens from up to 59 nations can visit Sanya, Hainan without a Visa from the Chinese Government. Sanya is a beautiful seaside city, well known as Hawaii in China. Submission website: https://ic2023.hotcrp.com/ ========================================================== Introduction ------------------------------------------------------------------------------- The mission of IC 2023 is to provide a pioneering technology map through searching and advancing state-of-the-art and state-of-the-practice in processors, systems, algorithms, and applications for machine learning, deep learning, spiking neural network and other AI techniques across multidisciplinary and interdisciplinary areas. The BenchCouncil staff will invite worldwide contributors to showcase their superior chips, systems, algorithms and applications. IC 2023 also solicits manuscripts describing original work in the above areas. IC 2023 invites manuscripts describing original work in the above areas and topics (Call for Papers). All accepted papers will be presented at the IC 2023 conference and published by Springer CCIS (Indexed by EI). With generous support from BenchCouncil, IC 2023 will offer travel grants for students to defray a portion of their travel cost. The size and number of these grants will vary depending on funding availability, the number of student applicants, and their respective priority. Grant awards will be made before the early registration deadline; expenses will be reimbursed after the conference; grant recipients will be asked to submit original receipts to verify their expenditures as well as a 1-page summary of their involvement during the conference. While we encourage all in need of a travel grant to apply, the selection process will give higher priority to students who would otherwise not be able to attend the conference. We strongly encourage applications from students that belong to under-represented groups. Call for papers ------------------------------------------------------------------------------- The IC conference encompasses a wide range of topics in intelligent computers, algorithms, and applications in computer science, civil aviation, medicine, finance, education, etc. IC’s multidisciplinary and interdisciplinary emphasis provides an ideal environment for developers and researchers from different areas and communities to discuss practical and theoretical work. The topics of interest include, but are not limited to the following: -- AI Algorithms machine learning (deep learning, statistical learning, etc) natural language processing computer vision data mining multi-agent systems knowledge representation robotics search, planning, and reasoning -- AI Systems Scalable and distributed AI systems High-performance computing for AI System-level optimization for deep learning Efficient hardware architectures for AI Model compression and acceleration techniques Memory management and resource allocation in AI systems Real-time and edge AI systems AutoML and automated system design Benchmarking and evaluation of AI systems Observability of AI systems Edge computing for AI systems Reliability of AI systems GPU sharing Intelligent Operations of AI systems Graph computing systems Domain specific AI systems Server-less architecture for AI systems -- AI for Ocean Science and Engineering Ocean Front Detection Mesoscale Eddy Recognition Underwater Image Enhancement Underwater Image Super-Resolution Underwater Object Recognition, Detection and Tracking Sea Surface Height Estimation Sea Surface Temperature Estimation Internal Wave Identification Wave Height Estimation -- AI in Finance Applications of AI in finance: such as capital markets, investment and financing in real economy, risk management, investment decision-making, transaction execution, etc. Impact of AI on the financial industry: discuss the influence of AI in the financial industry, such as improving efficiency, reducing risks, and optimizing customer experience. Challenges and opportunities for AI: Explore the technical, ethical, regulatory, and other challenges faced by AI in the financial field, and how to overcome them. Sustainable development of intelligent finance: explore how to promote the development of finance industry with extensive AI application while maintaining the principles of sustainable development. Ethics and transparency: explore the ethical and transparency issues raised by AI in the financial field. -- AI for Education Position papers on AI for education Large language models for education AI models of teaching and learning AI-assisted education Innovative applications of AI technologies in education Evaluation of AI technologies in education Intelligent tutoring systems Human-computer collaborative education systems Ethics and AI in education Impacts of AI technologies on education -- AI for Law Argument mining on legal texts Automatic classification and summarization of legal text Computational methods for negotiation and contract formation Computer-assisted dispute resolution Computable representations of legal rules and domain specific languages for the law Decision support systems in the legal domain Deep learning on data and text from the legal domain E-discovery, e-disclosure, e-government, e-democracy and e-justice Ethical, legal, fairness, accountability, and transparency subjects arising from the use of AI systems in legal practice, access to justice, compliance, and public administration Explainable AI for legal practice, data, and text analytics Formal and computational models of legal reasoning (e.g., argumentation, case-based reasoning), including deontic logics) Formal and computational models of evidential reasoning Formal models of norms and norm-governed systems Information extraction from legal databases and texts Information retrieval, question answering, and literature recommendation in the legal domain Intelligent support systems for forensics Interdisciplinary applications of legal informatics methods and systems Knowledge representation, knowledge engineering, and ontologies in the legal domain Legal design involving AI techniques Machine learning and data analytics applied to the legal domain Normative reasoning by autonomous agents Open and linked data in the legal domain Smart contracts and application of blockchain in the legal domain Visualization techniques for legal information and data -- AI for Materials Science and Engineering AI for materials chemistry AI for materials physics AI for materials characterization AI for materials design AI for materials manufacturing and processing AI for materials in industry -- AI for Science Applications of machine learning in scientific research: Explore the application of machine learning algorithms in scientific data analysis, pattern recognition, classification, and prediction. This includes innovative research in emerging fields such as quantum computing, materials science, climate change, drug discovery, genomics, physics simulation, environmental protection, sustainable energy, and healthcare. For example, using AI techniques to construct complex models and simulate the behavior of natural systems, exploring scientific questions related to climate simulation, cosmological simulation, molecular dynamics simulation, and more. Assisting experiment design and optimization: Utilize AI to optimize experiment design and parameter optimization, improving experiment efficiency. For example, rapidly determining optimal experimental conditions and reducing the time and cost of experiments. Natural language processing and scientific literature mining: Explore the application of natural language processing techniques in scientific literature analysis, knowledge graph construction, text summarization, and information extraction, accelerating the dissemination and discovery of scientific knowledge. Data visualization and scientific communication: Discuss the latest methods and tools for visualizing scientific data and presenting scientific results using AI technology, promoting the communication and sharing of scientific research findings. AI plays a critical role in scientific data analysis. Machine learning and statistical methods can extract useful information and patterns from large-scale scientific datasets, assisting scientists in data mining, feature extraction, data dimensionality reduction, and other tasks. -- AI for Civil Aviation AI in Aircraft Maintenance, Repair and Overhaul (MRO) AI in Operations Management and Revenue Optimization against safety control AI in Customer Service and Engagement AI in Aircraft Design Optimization AI in Identification of Passengers Pitfalls of using AI in Aviation The integrity, Metadata integration architecture, effectiveness, consistency, standardization, openness and sharing management of the civil aviation data Digital Business of civil aviation, quality management of Civil Aviation data Digital Air-Control Management and Digital Surveillance Management of Civil Aviation -- AI for Medicine Medical AI and Interpretable Medical Models AI, Block Chain, Cloud, and Data Techniques for Medicine Big Medical data and Privacy Protection Artificial Intelligence and Medical Image Analysis Internet-based Medical Diagnosis Medical Robot Drug discovery and Computer-aided Design Artificial Intelligence in Medical Diagnosis Medical Data and AI Practice and Case Study -- AI for Space Science and Engineering Space science target prediction, detection and feature extraction based on AI technology Uncertain analysis of AI models in space science Physics-informed machine learning in space science AI surrogate of the physics models How to gain new knowledge from the space science AI models Foundation models in space science Use AI technology to assist in space mission planning and scheduling AI-assisted space satellite anomaly detection and emergency decision-making -- AI for High Energy Physics Machine learning methods or models for HEP, including event triggering, particle identification, fast simulation, event reconstruction, noise filtering, detector monitoring, and experimental control. Utilizing high-performance computing for implementing machine learning methods in HEP, such as feature detection, feature engineering, usability, interpretability, robustness, and uncertainty quantification. Optimizing machine learning models on large-scale HEP simulation or experimental datasets. Deepening the modeling and simulation of HEP scientific problems using machine learning techniques. Harnessing emerging hardware (e.g., GPUs, NPUs, FPGAs) to accelerate machine learning processes for HEP data. Applications of large-scale language models in machine learning for HEP. Applications of quantum machine learning in machine learning for HEP. -- AI and Security Security and Privacy of AI Fairness, interpretability, and explainability for AI AI Regulations Adversarial learning Membership inference attacks Data poisoning & backdoor attacks Security of deep learning systems Robust statistics Differential privacy & privacy-preserving data mining AI for security and privacy Computer forensics Spam detection Phishing detection and prevention Botnet detection Intrusion detection and response Malware identification and analysis Intelligent vulnerability fuzzing Automatic security policy management & evaluation Big data analytics for security Paper Submissions Papers must be submitted in PDF. For a full paper, the page limit is 15 pages in the CCIS format, not including references. For a short paper, the page limit is 8 pages in the CCIS format, not including references. Authors are also encouraged to submit a 4-page extended abstract and make an extension after acceptance. The review process follows a strict double-blind policy. The submissions will be judged based on the merit of the ideas rather than the length. After the conference, the proceeding will be published by Springer CCIS (Indexed by EI). Please note that the CCIS format is the final one for publishing. At least one author must pre-register for the conference, and at least one author must attend the conference to present the paper. Papers for which no author is pre-registered will be removed from the proceedings. Formatting Instructions Please make sure your submission satisfies ALL of the following requirements: · All authors and affiliation information must be anonymized. · Paper must be submitted in printable PDF format. · Please number the pages of your submission. · The submission must be formatted for black-and-white printers. Please make sure your figures are readable when printed in black and white. · The submission must describe unpublished work that is not currently under review of any other conference or journal venues. LNCS latex template: https://www.benchcouncil.org/file/llncs2e.zip Organization Committee ------------------------------------------------------------------------------- General Co-Chairs Weiping Li, Civil Aviation Flight University of China, China Tao Tang, BNU-HKBU United International College, China Frank Werner, Institute of Mathematical Optimization, Otto-von-Guericke-University, German Program Co-Chairs Christophe Cruz, Université de Bourgogne, France Yanchun Zhang, Victoria University, Australia Wanling Gao, ICT, Chinese Academy of Sciences, China Program Vice-Chairs Jungang Xu, University of Chinese Academy of Sciences, China Yucong Duan, Hainan University, China Area Chairs AI Algorithms Hideyuki Takahashi, Department of Data Science, Faculty of Informatics, Tohoku Gakuin University, Japan Faraz Hussain, Clarkson University, USA Chunjie Luo, University of Chinese Academy of Science, China AI Systems Pengfei Chen, SUN YAT-SEN UNIVERSITY, China Jason Jia, Amazon, USA Xiaoguang Wang, University of Illinois Chicago, USA AI for Ocean Science and Engineering Guoqiang Zhong, Ocean University of China, China Hui Yu, University of Portsmouth, UK AI in Finance Co-chairs Changyun Wang, Renmin University of China, China Michael Guo, Durham University, UK AI in Finance Program Co-Chairs Zhigang Qiu, Renmin University of China, China Shinan Cao, University of International Business and Economics, China AI for Education John Impagliazzo, Hofstra University, USA Xuesong Lu, East China Normal University, China Stéphane Bressan, National University of Singapore, Singapore AI for Law Minghui Xiong, ZJU Law & AI Laboratory, Zhejiang University, China Bart Verheij, Department of Artificial Intelligence, University of Groningen, the Netherlands AI for Materials Science and Engineering Siqi Shi, School of Materials Science and Engineering, Shanghai University, China Turab Lookma, AiMaterials Research LLC, Santa Fe, USA Yue Liu,School of Computer Engineering and Science, Shanghai University, China AI for Sciences Tao Zhou, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, China Weile Jia, Institute of Computing Technology, Chinese Academy of Sciences, China AI for Civil Aviation Lin Zou, Civil Aviation Flight University of China, China AI for Medicine Zhenchang Wang, Beijing Friendship Hospital, Capital Medical University, China Jie Lu, Xuanwu Hospital, Capital Medical University, China Jinlyu Sun, Peking Union Medical College Hospital, China AI for Medicine Vice-Chair Zhifei Zhang, Capital Medical University, China AI for Space Science and Engineering Ziming Zou, National Space Science Center, Chinese Academy of Sciences, China Liming Song, Institute of High Energy Physics, Chinese Academy of Sciences, China AI for High Energy Physics Co-Chairs Yaodong Cheng, Institute of High Energy Physics, Chinese Academy of Sciences, China Yaquan Fang, Institute of High Energy Physics, Chinese Academy of Sciences, China AI for High Energy Physics Program Co-Chairs Xinchou Lou, University of Texas at Dallas, Dallas & Institute of High Energy Physics (IHEP), China AI and Security Bo Luo, University of Kansas, US Yu Wen, Institute of Information Engineering, Chinese Academy of Sciences, China Publicity Chairs Fei Teng, Southwest Jiaotong University, China Jianyuan Sun, University of Surrey, UK Yaxin Shi, The Agency for Science, Technology and Research (A*STAR), Singapore Yuchen Zheng, Shihezi University, China Zheng Yuan, King’s College London, UK Roy Lee, Singapore University of Technology and Design, Singapore Ming Gao, East China Normal University, China Yuan Cheng, Fudan University, China Jingyuan Chen, Zhejiang University Juan Li, Central South University, China Tianwen Xu, Zhejiang University, China Yicheng Liao, Zhejiang University, China Xiao Chi, Zhejiang University, China Zhengwei Yang, School of Computer Engineering and Science, Shanghai University, China Xiao-Bing Hu, Civil Aviation University of China Wei Cong, Feeyo Technology Co., Ltd., China Han Lv, Beijing Friendship Hospital, Capital Medical University, China Xiaoyan Hu, National Space Science Center, Chinese Academy of Sciences, China Yanjie Fu, University of Central Florida, USA Weiwei Tang, National Space Science Center, Chinese Academy of Sciences, China Pengyang Wang, University of Macau, China Yingbo Lyu, Shandong University, China Haijun Yang, Shanghai Jiao Tong University (SJTU), Shanghai, China Xingtao Huang, Shandong University (SDU), Qingdao, China Huilin Qu, the European Organization for Nuclear Research (CERN), Geneva TPC Members AI Algorithms Diego Oliva, University of Guadalajara, Guadalajara, Mexico Yogendra Arya, J.C. Bose University of Science and Technology, India Nazar Khan, Punjab University, Pakistan Yingjie Shi, Beijing Institute of Fashion Technology, China Sansanee Auephanwiriyakul, Chiang Mai University, Thailand Xiexue Zhou, Max Planck Institute of Biochemistry, Germany Zihan Jiang, Huawei, China AI Systems Xiaoguang Wang, University of Illinois Chicago, USA Pengfei Zheng, Huawei Ltd., China Yushan Su, Princetion University, USA Runan Wang, Imperial College London, UK Jindal, Anshul, Technical University of Munich, Germany Hui Dou, Anhui University, China Saiyu Qi, Xi’an Jiaotong University, China Wuxia Jin, Xi’an Jiaotong University, China Chuan Chen, Sun Yat-sen University, China Shajulin Benedict, Indian Institute of Information Technology, India Vishvak Murahari, Princeton University, USA AI for Ocean Science and Engineering Partha Pratim Roy, Institute of Technology Roorkee, India Rachid Hedjam, Sultan Qaboos University, Oman Xin Li, China University of Petroleum (East China), China Zhimin Wang, Ocean University of China, China Chi Zhang, Ocean University of China, China AI in Finance George Alexandridis,Reading University, UK Haoyu Gao, Renmin University of China, China Yi Huang, Fudan University, China Fuwei Jiang, Central University of Finance and Economics, China Dimitris Petmezas,Durham University, UK Georgios, Sermpinis,Glasgow University, UK Yanmei Sun, University of International Business and Economics, China Evangelos, Vagenas-Nanos, Glasgow University, UK Quan Wen, Georgetown University, USA Ke Wu, Renmin University of China, China Teng Zhong, University of International Business and Economics, China Dexin Zhou, CUNY Baruch College, USA Xiaoneng Zhu, Shanghai University of Finance and Economics, China Yifeng Zhu, Central University of Finance and Economics, China AI for Education Yunshi Lan, East China Normal University, China Shenggen Ju, Sichuan University, China Zhenya Huang, University of Science and Technology of China, China Tiancheng Zhang, Northeastern University, China Zheng Yuan, King’s College London, UK Thomas Heinis, Imperial College London, UK Roy Lee, Singapore University of Technology and Design, Singapore Sadegh Nobari, Chief Information Officer, Startbahn, Japan Alison Clear, Eastern Institute of Technology, New Zealand Tony Clear, Auckland University of Technology, New Zealand Judith Gal-Ezer, Open University of Israel, Israel Natalie Kiesler, Scientific Associate, DIPF | Leibniz-Institute, Germany AI for Law Michal Araszkiewiz, Jagiellonian University, Poland Wenjing Du, East China University of Political Science and Law, China Juan Li, Central South University, China Reka Markovich, University of Luxemburg, Luxemburg Matthias Grabmair, Technical University of Munich, Germany Monica Palmirani, University of Bologna, Italy Bin Wei, Zhejiang University, China Heng Zheng, University of Illinois Urbana-Champaign, USA AI for Materials Science and Engineering Dezhen Xue, State Key Laboratory for Mechanical Behavior of Materials, Xi’an Jiaotong University, China Jinjin Li, Department of Micro/Nano Electronics, Shanghai Jiao Tong University, China Lei Li, Department of Materials Science and Engineering, Southern University of Science and Technology, China Maxim Avdeev, Australian Nuclear Science and Technology Organization, School of Chemistry, The University of Sydney, Australia Yanjing Su, Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, China Zhi Wei Seh, Institute of Materials Research and Engineering, A*STAR, Singapore Zhijun Fang, School of Computer Science and Technology, Donghua University, China Zijian Hong, School of Materials Science and Engineering, Zhejiang University, China AI for Science Guihua Shan, Computer Network Information Center, Chinese Academy of Sciences, China Zhiqin Xu, Shanghai Jiao Tong University, China Chi Zhou, Shenzhen University, China Lijun Liu, Osaka University, Osaka, Japan Di Fang, University of California, Berkeley, US Xiaojie Wu, Bytedance Inc. US Tong Zhao, Institute of Computing Technology, Chinese Academy of Sciences, China AI for Civil Aviation Michael Schultz, Institute of Flight Systems, Bundeswehr University Munich, Germany Paolo Tortora, Dipartimento di Ingegneria Industriale, Alma Mater Studiorum Università di Bologna, Italy Carlos E.S. Cesnik, Department of Mechanical Engineering and Materials Science, Duke University, USA Michael I. Friswell, Faculty of Science and Engineering, Swansea University, UK Song Fu, School of Aerospace Engineering, Tsinghua University, China Jae-Hung Han, Department of Aerospace Engineering, KAIST, Korea Jacques Periaux , Full Research Professor on Numerical Methods in Engineering at CIMNE/UPC, Spain Domenico Accardo, DII—Department of Industrial Engineering, University of Naples Federico II, Piazzale Vincenzo Tecchio, Italy Rafic M. Ajaj, Department of Aerospace Engineering, Khalifa University, United Arab Emirate Gang Chen, State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, China Mou Chen, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China Wing Chiu, Department of Mechanical and Aerospace Engineering, Monash University, Australia AI for Medicine Han Lv, Beijing Friendship Hospital, Capital Medical University, China Peng Wang, Beijing Ditan Hospital, Capital Medical University, China Chaodong Wang, Xuanwu Hospital, Capital Medical University, China Longxin Xiong, Nanchang Ninth Hospital, China Mingzhu Zhang, Beijing Tongren Hospital, Capital Medical University, China Yi Li, Peking Union Medical College Hospital, China Shenhai Wei, The First Hospital of Tsinghua University, China Hongxu Yang, GE Healthcare, Netherlands Xiaohong Liu, Shanghai Jiao Tong University, China Bingbin Yu, German Research Center for Artificial Intelligence-Robotic Innovation Center, Germany Menghan Hu, East China Normal University, China Shuo Li, Case Western Reserve University, USA Tao Tan, Faculty of Applied Sciences, Macao Polytechnic University Yue Wu, Shanghai Ninth People’s Hospital, Shanghai JiaoTong University School of Medicine, China Siuly Siuly, Victoria University, Australia Dr Enamul Kabir, University of Southern Queensland, Australia Muhammad Tariq Sadiq, University of Brighton, UK Smith K. Khare, Aarhus University, Denmark Mohammed Diykh, University of Thi-Qar, College of Education for Pure Science, Iraq Supriya Angra, Torrens University, Australia Abdulkadir ŞENGÜR, Firat University, Turkey Varun Bajaj, PDPM-Indian Institute of Technology, Design and Manufacturing, India Ömer Faruk ALÇİN, Malatya Turgut Ozal University, Turkey K. Venkatachalam, University of Hradec Králové, Hradec Králové, Czech Republic Ivan Lee, The University of South Australia, Australia Feng Xia, RMIT University, Australia Zhiguo Gong, The University of Macau, China A/Hong Yang, Guangzhou University, China Qian Zhou, Nanjing University of Posts and Telecommunications, China Wenjun Tan, Northeastern University, China AI for Space Science and Engineering Zongcheng Ling, Shandong University, China Yanjie Fu, University of Central Florida, USA Jiajia Liu, University of Science and Technology of China, China Xiaoxi He, University of Macau, China AI for High Energy Physics Xinchou Lou, University of Texas at Dallas, Dallas & Institute of High Energy Physics (IHEP), Beijing, China Haijun Yang, Shanghai Jiao Tong University (SJTU), Shanghai, China Xingtao Huang, Shandong University (SDU), Qingdao, China Huilin Qu, the European Organization for Nuclear Research (CERN), Geneva Bruce Mellado, University of the Witwatersrand (WIS), Johannesburg Fabio Hernandez, Computing Centre, National institute of nuclear and particle physics (IN2P3), Lyon AI and Security Yanwei Liu, Institute of Information Engineering, Chinese Academy of Sciences, China Hongjia Li, Institute of Information Engineering, Chinese Academy of Sciences, China Zhiqiang Xu, Jiangxi University of Science and Technology, China Liwei Chen, Institute of Information Engineering, Chinese Academy of Sciences, China Yanni Han, Institute of Information Engineering, Chinese Academy of Sciences, China Duohe Ma, Institute of Information Engineering, Chinese Academy of Sciences, China |
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