Regular papers
Full papers presenting original and unpublished research, submitted through OpenReview, with a maximum of 12 single-spaced pages (excluding title page and references).
AI/CORE Unranked
IJTCS-FAW 2026
International Joint Conference on Theoretical Computer Science – Frontier of Algorithmic Wisdom
IJTCS-FAW 2026 is an international joint conference organized by the China Computer Federation and Renmin University of China, bringing together researchers in theoretical computer science and its interdisciplinary frontiers. It celebrates the 20th anniversary of the Conference on Frontiers of Algorithmic Wisdom (FAW) and the 7th edition of the International Joint Conference on Theoretical Computer Science (IJTCS), featuring invited talks, contributed papers, and academic forums across four specialized tracks.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
WINE and ISAAC Fast Track papers
Revised submissions of papers previously submitted to but not accepted at WINE 2026 or ISAAC 2026, with appended reviews and a response statement, following the same formatting and anonymity requirements as regular submissions.
Research areas in scope
01
Frontiers of Algorithmic Wisdom
Algorithms and data structuresDiscrete and combinatorial structuresApproximation and online algorithmsCombinatorial optimizationGraph algorithmsComputational geometryComplexity theoryParameterized algorithmsLearning-augmented algorithms
02
Blockchain Theory and Technology
Consensus and scalabilitySmart contractsDistributed ledgersSecurity and privacyInteroperability and cross-chain protocolsDecentralized financeDigital currenciesAutomated market makersTokenomicsBlockchain mechanism designCryptoeconomic systems
03
Computational Economics and Algorithmic Game Theory
Equilibrium computation and efficiencyMechanism and market designAuctions and pricingMatching marketsFair division and social choiceInformation and contract designLearning in games and marketsPlatform economicsComputational advertisingThe economics of AI
04
Foundations of Artificial Intelligence
Learning Theory and AlgorithmsOnline Learning and BanditsReinforcement Learning and ControlOptimization for AITheory of Deep LearningFoundation Models and Large Language ModelsGenerative Models and SamplingCausal Learning and InferenceAgentic AI and Multi-Agent SystemsFormal Methods and Neuro-Symbolic AIRobust and Reliable AIInterpretability, Fairness, and PrivacyAI Safety and AlignmentData Valuation, Pricing, and MarketsEconomics of AI Models and ComputationAI Platforms and Model Ecosystems
Policies worth checking twice
- Submissions must be original and unpublished, and must not be under simultaneous review by another conference or journal.
- Double-blind review is used: author names, affiliations, and identifying information must be omitted from submissions.
- Submissions must not exceed 12 single-spaced pages (excluding title page and references), with at least 11-point font and one-inch margins.
- An appendix of arbitrary length may be included but must be clearly marked; the main paper must stand alone for evaluation.
- Prior work by authors must be cited in a neutral, non-identifying manner.
- Work previously posted on arXiv or similar repositories is eligible, provided the submitted manuscript is anonymized and has not appeared in archival proceedings.
- Fast-track submissions must include the complete, unedited reviews from WINE 2026 or ISAAC 2026 in a clearly labeled appendix, along with a Changes and Response statement.
- Submissions that substantially deviate from formatting or length requirements may be rejected without review.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteCall for PapersCall for TutorialsSubmissionAccepted PapersConference Programme
Last verified September 9, 2026