Topic:
AI algorithms:
machine learning (deep learning, statistical learning, etc)
natural language processing
computer vision
data mining
multiagent systems
knowledge representation
robotics
search, planning, and reasoning
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
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, standardi-zation, 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 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 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 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 design
AI for property prediction
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 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 for Science:
Learning from acoustics
Learning physical dynamics from data
Speeding up physical simulators, samplers and solvers
Molecular modeling and de novo generation
Modeling biological systems, genomics, protein, RNA
Accelerating cosmological simulations
Improving crop yields through precision agriculture
Optimizing aerospace product design and development
Benchmarking related or new tasks (i.e. datasets, sota models, etc.)
Building tools/infrastructures/platforms for scientific discovery
Study of science of science/scientific methods
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 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 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
Observaility 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
Serverless architecture for AI systems
Organizing Committees
General Chair
Jianfeng Zhan, International Open Benchmark Council, China
Program Co-Chairs
Weiping Li, Oklahoma State University, USA
Chunjie Luo, Institute of Computing Technology, Chinese Academy of Sciences, China
Publicity Chair
Shaopeng Dai, Institute of Computing Technology, Chinese Academic of Science, China
Publicity Associate Chair
Han Yin, East China University of Political Science and Law, China
Yicheng Liao, Guanghua Law School, Zhejiang University, China
PC member
Bin Wang, Nankai University, China
Biwei Xie, Institute of Computing Technology, Chinese Academic of Science, China
Bibo Tu, Institute of Information Engineering, Chinese Academy of Sciences, China
Bin Wang, Northeastern University, China
Chunhua Xiao, Chongqing University, China
Chunying Li, Guangdong Polytechnic Normal University, China
Cheng Qian, Guangdong Institute of Intelligence Science and Technology, China
Chengwen Zhang, Beijing University of Posts and Telecommunications, China
Congfeng Jiang, Hangzhou Dianzi University, China
Dexin Zhou, CUNY Baruch College, USA
Diego Oliva, University of Guadalajara, Mexico
Duohe Ma, State Key Laboratory of Information Security, Institute of Information Engineering, CAS, China
Di Zhao, Institute of Computing Technology, Chinese Academy of Sciences, China
Dejin Yang, Beijing Jishuitan Hospital, China
Di Hou, Xi’an Jiaotong University, China
Dan Huang, Sun YAT-SEN University, China
Di Zhang, Xi’an Jiaotong-Liverpool University, China
Fanda Fan, Institute of Computing Technology, Chinese Academy of Sciences, China
Fuwei Jiang, Central University of Finance and Economics, China
Guihua Shan, Computer Network Information Center, Chinese Academy of Sciences, China
Guan Gui, Nanjing University of Posts and Telecommunications, China
Guoqiang Zhong, Ocean University of China, China
Haoyu Gao, Renmin University of China, China
Hongjia Li, Chinese academy of sciences, China
Hui Sun, Anhui University, China
Hongliang Liang, Beijing University of Posts and Telecommunications, China
Huaxi Gu, Xidian University, China
Hideyuki Takahashi, Tohoku Gakuin University, Japan
Juan Fang, Beijing University of Technology, China
Jungang Xu, University of Chinese Academy of Sciences, China
Jialiang Tan, Lehigh University, USA
Jing Qiu, Guangzhou University, China
Jiaquan Gao, Nanjing Normal University, China
Jianwu Wang, University of Maryland, Baltimore County, USA
Jian Wu, Anqing Normal University, China
Kai Wu, South China University of Technology, China
Kejiang Ye, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
Kun Yang, National Institute of Metrology of China, China
Kelu Yao, Zhejiang Lab, China
Lei Wang, Institute of Computing Technology, Chinese Academy of Sciences, China
Lanju Kong, Shandong University, China
Lin Cui, Jinan University, China
Liqiu Yang, University of Southern California, USA
Lu Leng, Nanchang Hangkong University, China
Lei Wang, Institute of Physics, Chinese Academy of Sciences, China
Linping Wu, China Academy of Engineering Physics, China
Li Gao, University of Shanghai for Science and Technology, China
Li Xiao, Beijing University of Posts and Telecommunications, China
Luntian Mou, Beijing University of Technology, China
Li Wang, Taiyuan University of Technology, China
Lingjun Fan, Guiyang Big Data Industry Group, China
Luqi Gong, Zhejiang Lab, China
Miao Wang, Academy of Military Sciences, PLA, China
Peng Bao, Beijing Jiaotong University, China
Pengfei Zheng, Huawei, China
Pengfei Chen, Sun YAT-SEN University, China
Pengfei Wang, Computer Network Information Center, Chinese Academy of Sciences, China
Ruixuan Wang, Sun YAT-SEN University, China
Saiqin Long, Jinan University, China
Sadegh Nobari, Chief Information Officer, Startbahn, Japan
Shiyang Yu, Nankai University, China
Shengzhong Feng, Guangdong Institute of Intelligence Science and Technology, China
Shinan Cao, University of International Business and Economics, China
Siqi Shi, Shanghai University, China
Weile Jia, Institute of Computing Technology, Chinese Academy of Sciences, China
Wing Chiu, Department of Mechanical and Aerospace Engineering, Monash University, Australia
Wei Wang, East China Normal University, China
Weihe Gao, Shanghai University of Finance and Economics, China
Weixiang Liu, Shenzhen University, China
Wenyao Zhang, Beijing Institute of Technology, China
Weiqin Tong, Shanghai University, China
Weijun Sun, Guangdong University of Technology, China
Wenzhong Wang, Anhui University, China
Wen Xiong, Yunnan Normal University, China
Wanlin Gao, Institute of Computing Technology, Chinese Academy of Sciences, China
Weiwei Zhan, University of Central Florida, USA
Xiaolan Xie, Guilin University of Technology, China
Xiangdong Wang, Institute of Computing Technology, Chinese Academy of Sciences, China
Xiaoyong Tang, Changsha University of Science & Technology, China
Xiangwen Liao, Fuzhou University, China
Xianjin Fang, Anhui University of Science and Technology, China
Xinchou Lou, University of Texas at Dallas, Dallas & Institute of High Energy Physics (IHEP), China
Xuesong Lu, School of Data Science and Engineering, East China Normal University, China
Xu Chen, Sun YAT-SEN University, China
Yanwu Yang, Huazhong University of Science and Technology, China
Yanni Han, Institute of Information Engineering, Chinese Academy of Sciences, China
Yanwei Liu, Institute of Information Engineering, Chinese Academy of Sciences, China
Yifeng Zhu, Central University of Finance and Economics, China
Yingjie Shi, Beijing Institute of Fashion Technology, China
Yushan Su, Princetion University, USA
Yaoqi Liu, Institute of Computing Technology, Chinese Academy of Sciences, China
Yongkai Fan, Communication University of China, China
Yanwu Xu, South China University of Technology, China
Yanjie Wei, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
Yu Wen, Institute of Information Engineering, Chinese Academy of Sciences, China
Yinliang Yue, Zhongguancun Laboratory, China
Yong Xia, Northwestern Polytechnical University, China
Yongjun Xu, Institute of Computing Technology, Chinese Academy of Sciences, China
Yi Wang, Shenzhen University, China
Ye Li, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
Yue Liu, Shanghai University, China
Yuxin Ding, Harbin Institute of Technology, Shenzhen, China
Yong Tang, South China Normal University, China
Yunyou Huang, Guangxi Normal University, China
Yuhui Deng, Jinan University, China
Yi Jin, Beijing Computing Center, China
Zhihui Lu, Fudan University, China
Zili Zhang, Southwest University, China
Zitao Liu, Jinan University, China
Zhihong Tian, Guangzhou University, China
Zhen Jia, Amazon, USA
Zhujie Ren, Zhejiang Laboratory, China
Zhibin Yu, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
Zheng Yuan, King’s College London, United Kingdom
Zhigang Qiu, Renmin University of China, China