Conference Information

IJCAI 2027: International Joint Conference on Artificial Intelligence

Submission Date:
2027-01-04 Due in 51 days
Notification Date:
2027-04-21
Conference Date:
2027-08-07
Location:
Kyoto, Japan
Years:
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CCF: B   ICORE: A*   QUALIS: A1   Viewed: 40977930   Tracked: 947   Attend: 150
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Conference Partner Index (CP-I)

97.8 / 100
Ranked #3 of 5,777 conferences · Top 1%

#2 of 755 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
100
Submission selectivity (20%)
96
Editions held (20%)
97
Community attention (10%)
91
Public record completeness (15%)
100

Inputs used: Listed as CCF B, QUALIS A1 · Acceptance rate: 15.3% (mean of 5 editions on file) · Editions on record: 36 · Researchers following it here: 947 · Researchers who opened this page in the past 24 months: 123

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-11-14

Researchers at these institutions track this conference

Tsinghua University 40
Peking University 32
University of Science and Technology of China 31
Beihang University 26
Wuhan University 26
Institute of Automation, Chinese Academy of Sciences 22
Institute of Information Engineering, Chinese Academy of Sciences 22
Shanghai Jiao Tong University 22

Based on the institution researchers enter on their own profiles. We do not verify it.

Call For Papers

IJCAI 2027 (International Joint Conference on Artificial Intelligence) is a CCF B / ICORE A* / QUALIS A1 conference held in Kyoto, Japan on 2027-08-07. The paper submission deadline is 2027-01-04. Acceptance notifications are sent on 2027-04-21.

Welcome to IJCAI International Joint Conferences on Artificial Intelligence is a non-profit corporation founded in California, in 1969 for scientific and educational purposes, including dissemination of information on Artificial Intelligence at conferences in which cutting-edge scientific results are presented and through dissemination of materials presented at these meetings in form of Proceedings, books, video recordings, and other educational materials. IJCAI consists of two divisions: the Conference Division and the AI Journal Division. IJCAI conferences present premier international gatherings of AI researchers and practitioners and they were held biennially in odd-numbered years since 1969. Starting with 2016, IJCAI conferences are held annually. IJCAI-ECAI-26 will be held in Bremen, Germany from August 15th until August 21st. Locations and dates of other future conferences will be announced officially at the preceding conference. IJCAI is governed by the Board of Trustees, with IJCAI Secretariat in charge of its operations. IJCAI-26 was held from August 15th until August 21, 2026 in Bremen, Germany. The Conference Committee thanks you all for participating. IJCAI-27 will be held from August 7th until August 13, 2027 in Kyoto, Japan and from August 15th until August 17, 2027 in Hengqin, China. We are looking forward to welcoming you there.
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Acceptance Ratio

Average acceptance rate: 21% over 21 years (1995–2025).

YearSubmittedAcceptedAccepted(%)
20255404104219.3%
2024565179114%
2023456664314.1%
2022453567915%
2021420458714%
2020471759212.6%
2019475285017.9%
2018347070920.4%
2017254066026%
2016229455124%
2015199657228.7%
2013147341328%
2011132540030.2%
2009129033125.7%
2007135321215.7%
2005132924018.1%
200391318920.7%
200179619724.7%
199975019425.9%
199788221624.5%
1995111224922.4%

Best Papers

YearBest Papers
2025Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator
2025Boost Embodied AI Models with Robust Compression Boundary
2025Combining MORL with Restraining Bolts to Learn Normative Behaviour
2024Online Learning of Capacity-Based Preference Models
2024Enhancing Controlled Query Evaluation Through Epistemic Policies
2024Online Combinatorial Optimization with Group Fairness Constraints
2023Safe Reinforcement Learning via Probabilistic Logic Shields
2023SAT-Based PAC Learning of Description Logic Concepts
2023Levin Tree Search with Context Models
2022DESPOT: Online POMDP Planning with Regularization
2021On the Relation Between Approximation Fixpoint Theory and Justification Theory
2021Keep Your Distance: Land Division With Separation
2021Learning Generalized Unsolvability Heuristics for Classical Planning
2020A Multi-Objective Approach to Mitigate Negative Side Effects
2020Synthesizing Aspect-Driven Recommendation Explanations from Reviews
2020From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning
2019Out of Sight But Not Out of Mind: An ASP Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving
2019Portioning using Ordinal Preferences: Fairness and Efficiency
2019Boosting for Comparison-Based Learning
2018SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks
2018A Degeneracy Framework for Graph Similarity
2018R-SVM+: Robust Learning with Privileged Information
2018Commonsense Knowledge Aware Conversation Generation with Graph Attention
2018What game are we playing? End-to-end learning in normal and extensive form games
2018From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying
2018Reasoning about Consensus when Opinions Diffuse through Majority Dynamics
2017Foundations of Declarative Data Analysis Using Limit Datalog Programs
2016Hierarchical Finite State Controllers for Generalized Planning
2015Recursive Decomposition for Nonconvex Optimization
2015Bayesian Active Learning for Posterior Estimation
2013Flexibility and Decoupling in the Simple Temporal Problem
2013Bayesian Optimization in High Dimensions via Random Embeddings
2011Nested Rollout Policy Adaptation for Monte Carlo Tree Search
2011Unweighted Coalitional Manipulation Under the Borda Rule is NP-Hard
2011On the Decidability of Connectedness Constraints in 2D and 3D Euclidean Spaces
2009Learning Conditional Preference Networks with Queries
2009Consequence-Driven Reasoning for Horn SHIQ Ontologies
2007Performance Analysis of Online Anticipatory Algorithms for Large Multistage Stochastic Integer Programs
2007Building Structure into Local Search for SAT
2007Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
2005A Probabilistic Model of Redundancy in Information Extraction
2005Solving Checkers
2005Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning
2005Learning Coordination Classifiers
2003Thin Junction Tree Filters for Simultaneous Localization and Mapping
2003Approximating Game-Theoretic Optimal Strategies for Full-scale Poker
2001Complexity Results for Structure-Based Causality
1999A Distributed Case-Based Reasoning Application for Engineering Sales Support
1999Learning in Natural Language
1997Applications of the situation calculus to formalizing control and strategic information: the Prolog cut operator
1997Object Identification in a Bayesian Context
1997Translingual Information Retrieval: A Comparative Evaluation

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