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会议简称 | 截稿时间 | 通知时间 | 录用率 | 官网 |
GECCO 2023 |
23.2.3(摘要) | 23.3.31 | 21年 37.57% | https://gecco-2023.sigevo.org/HomePage |
GLSVLSI 2023 |
23.2.6 | 23.3.21 | 18年24.37% | http://glsvlsi.org/ |
USENIX Security 2023 |
23.2.7 | 23.5.8 | 22年17.16% | https://www.usenix.org/conference/usenixsecurity23 |
CCC 2023 |
23.2.10 | 23.5.1 | 20年37.62% | https://computationalcomplexity.org |
COLT 2023 |
23.2.10 | 23.5.15 | 20年30.93% | http://www.learningtheory.org/colt2023/ |
ICALP 2023 |
23.2.11 | 23.4.21 | 20年29.39% | https://icalp2023.cs.upb.de/cms/ |
ICIP 2023 |
23.2.15 | 23.6.21 | 22年44.10% | https://2023.ieeeicip.org/ |
ISSTA 2023 |
23.2.16 | 23.5.3 | 22年24.40% | https://conf.researchr.org/home/issta-2023 |
GECCO2023
会议全称:The Genetic and Evolutionary Computation Conference
录用率:21年 37.57%
CCF分级:人工智能C
截稿时间:23.2.3(摘要)23.2.10(全文)
录用通知时间:23.3.31
官网链接:
https://gecco-2023.sigevo.org/HomePage
征稿范围:
Biological foundations
Modeling and analysis of new approaches
Hybrid schemes with other algorithms
Multi-swarm and self-adaptive approaches
Constraint-handling and penalty function approaches
Combinations with local search techniques
Approaches to solve multi- and many-objective optimization problems
Approaches to solve dynamic and noisy optimization problems
Approaches to multi-modal optimization, i.e., to find multiple solutions (niching)
Benchmarking and new empirical results
Parallel/distributed implementations and applications
Large-scale applications
Software and high-performance implementations
Theoretical and experimental research in swarm robotics
Theoretical and empirical analysis of SI approaches to gain a better understanding of SI algorithms and to inform on the development of new, more efficient approaches
Position papers on future directions in SI research
Applications to machine learning and data analytics
GLSVLSI2023
会议全称:Great Lakes Symposium on VLSI
录用率:18年24.37%
CCF分级:计算机体系结构/并行与分布计算/存储系统C
截稿时间:23.2.6
录用通知时间:23.3.21
官网链接:http://glsvlsi.org/
征稿范围:
USENIX Security2023
会议全称:
录用率:22年17.16%
CCF分级:网络与信息安全A
截稿时间:23.2.7
录用通知时间:23.5.8
官网链接:https://www.usenix.org/conference/usenixsecurity23
征稿范围:The USENIX Security Symposium brings together researchers, practitioners, system administrators, system programmers, and others interested in the latest advances in the security and privacy of computer systems and networks.
CCC2023
会议全称:Computational Complexity Conference
录用率:20年37.62%
CCF分级:计算机科学理论B
截稿时间:23.2.10
录用通知时间:23.5.1
官网链接:https://computationalcomplexity.org
征稿范围:
Complexity classes
Reducibility and completeness
Circuit complexity
Communication complexity
Algebraic complexity
Proof complexity
Complexity in other concrete computational models
Interactive and probabilistic proof systems
Logic and descriptive complexity
Pseudorandomness and derandomization
Average case complexity
Quantum computation
Parametrized complexity
Fine-grained complexity
Complexity-theoretic aspects of:coding theory
cryptography
optimization (including inapproximability, continuous optimization)
property testing
streaming and sublinear computation
distributed computation
game theory
machine learning
COLT2023
会议全称:Conference on Learning Theory
录用率:20年30.93%
CCF分级:人工智能B
截稿时间:23.2.10
录用通知时间:23.5.15
官网链接:http://www.learningtheory.org/colt2023/
征稿范围:
Design and analysis of learning algorithms
Statistical and computational complexity of learning
Optimization methods for learning, including online and stochastic optimization
Theory of artificial neural networks, including deep learning
Theoretical explanation of empirical phenomena in learning
Supervised learning
Unsupervised, semi-supervised learning, domain adaptation
Learning geometric and topological structures in data, manifold learning
Active and interactive learning
Reinforcement learning
Online learning and decision-making
Interactions of learning theory with other mathematical fields
High-dimensional and non-parametric statistics
Kernel methods
Causality
Theoretical analysis of probabilistic graphical models
Bayesian methods in learning
Game theory and learning
Learning with system constraints (e.g., privacy, fairness, memory, communication)
Learning from complex data (e.g., networks, time series)
Learning in neuroscience, social science, economics and other subjects
ICALP2023
会议全称:International Colloquium on Automata, Languages and Programming
录用率:20年29.39%
CCF分级:计算机科学理论B
截稿时间:23.2.11
录用通知时间:23.4.21
官网链接:https://icalp2023.cs.upb.de/cms/
征稿范围:
Track A: Algorithms, Complexity and Games
Algorithmic and Complexity Aspects of Network Economics
Algorithmic Aspects of Biological and Physical Systems
Algorithmic Aspects of Networks and Networking
Algorithmic Aspects of Security and Privacy
Algorithmic Game Theory and Mechanism Design
Approximation and Online Algorithms
Combinatorial Optimization
Combinatorics in Computer Science
Computational Complexity
Computational Geometry
Computational Learning Theory
Cryptography
Data Structures
Design and Analysis of Algorithms
Distributed and Mobile Computing
Foundations of Machine Learning
Graph Mining and Network Analysis
Parallel and External Memory Computing
Parameterized Complexity
Quantum Computing
Randomness in Computation
Sublinear Time and Streaming Algorithms
Theoretical Foundations of Algorithmic Fairness
Track B: Automata, Logic, Semantics, and Theory of Programming
Algebraic and Categorical Models of Computation
Automata, Logic, and Games
Database Theory, Constraint Satisfaction Problems, and Finite Model Theory
Formal and Logical Aspects of Learning
Formal and Logical Aspects of Security and Privacy
Logic in Computer Science and Theorem Proving
Models of Computation: Complexity and Computability
Models of Concurrent, Distributed, and Mobile Systems
Models of Reactive, Hybrid, and Stochastic Systems
Principles and Semantics of Programming Languages
Program Analysis, Verification, and Synthesis
Type Systems and Typed Calculi
ICIP2023
会议全称:International Conference on Image Processing
录用率:22年44.10%
CCF分级:计算机图形学与多媒体C
截稿时间:23.2.15
录用通知时间:23.6.21
官网链接:https://2023.ieeeicip.org/
征稿范围:
Sensing, Representation, Modeling, and Registration
Motion Estimation, Registration, and Fusion
Synthesis, Rendering, and Visualization
Deep Learning for Images and Videos
Computational Imaging
Learning with Limited Labels
Restoration and Enhancement
Image & Video Interpretation and Understanding
Compression, Coding, and Transmission
Detection, Recognition, Retrieval, and Classification
Color, Multi-spectral, and Hyper-spectral Imaging
Biometrics, Forensics, and Security
Stereoscopic, Multi-view, and 3D Processing
Biomedical and Biological Image Processing
Image & Video Quality Models
Emerging Applications and Systems
ISSTA2023
会议全称:International Symposium on Software Testing and Analysis
录用率:22年24.40%
CCF分级:软件工程/系统软件/程序设计语言A
截稿时间:23.2.16
录用通知时间:23.5.3
官网链接:https://conf.researchr.org/home/issta-2023
征稿范围:The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) is the leading research symposium on software testing and analysis, bringing together academics, industrial researchers, and practitioners to exchange new ideas, problems, and experience on how to analyze and test software systems.
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