技能 人工智能 AI论文投稿最佳会议选择指南

AI论文投稿最佳会议选择指南

v20260724
ijcai-topic-selection
本指南帮助研究人员评估其AI项目的技术深度、贡献广度和适用范围。它指导用户判断论文最适合投稿到哪个顶级学术会议(如IJCAI),还是更适合更专业的领域会议,以最大化发表成功率。
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IJCAI Topic Selection

Use this before writing. IJCAI main-track submissions should report significant, original, previously unpublished AI results with broad relevance to the AI community.

Fit test

  • Ask whether the paper advances an AI problem, AI technique, AI application domain, or cross-disciplinary AI boundary rather than only reporting an application result.
  • Prefer IJCAI when the contribution is broadly AI-facing, technically complete in a compact format, and can survive a two-phase review process with limited response leverage.
  • Consider special tracks for human-centered AI, AI for social good, AI4Tech, AI and health, or AI and robotics when the venue-specific framing is stronger than a general main-track frame.
  • Consider the Survey Track only for mature areas and author teams with established topic expertise.
  • Route elsewhere if the contribution is primarily ML theory, representation learning, computer vision, NLP, robotics, HCI, systems, or data mining and a specialist venue has a clearer audience.
  • Check policy fit early: anonymity, recent rejection disclosures, dual-submission limits, data ethics, LLM-use constraints, and in-person presentation feasibility.

Venue routing matrix

IJCAI's edge is breadth and a compact format, but a sharply specialist contribution often finds a clearer audience elsewhere. Route by where the strongest reviewers and framing sit.

Contribution profile Strong IJCAI fit Consider instead
Cross-cutting AI idea (search, KR, planning, multi-agent) readable across subfields Yes, main track
Deep ML theory or representation learning Sometimes NeurIPS, ICML, COLT
Heavy CV or NLP system Rarely the best home CVPR, ACL
Mature area survey by established authors Survey Track Journal survey
Polished, complete result wanting fast journal route Main track plus AIJ/JAIR ecosystem
Social-good or human-centered AI framing Special track Domain venue

Worked vignette: a game-theory mechanism

A mechanism-design result for multi-agent resource allocation could go to an economics-and- computation venue or to IJCAI. If the contribution is an AI technique broadly relevant across agents, search, and learning audiences and fits a compact 7-page body, IJCAI's main track is a strong home; the game-theory/economic-paradigms scope is squarely in-bounds. If the core advance is a fine-grained economic-theory proof aimed at a specialist EC audience, route there instead. Decide by which reviewer pool best judges the central claim.

Reviewer/fit pushback and the venue-specific fix

  • "This is an application, not an AI advance." Reframe the AI technique or problem contribution, or route to a domain venue.
  • "Too specialized for a broad PC." Either broaden the framing for IJCAI breadth or choose the specialist venue with a clearer audience.
  • "Survey from a junior team." Reserve the Survey Track for mature areas and established topic expertise.

Output format

[Fit] strong IJCAI / possible IJCAI / better elsewhere
[Best track] main / special / survey / other venue
[Contribution sentence] <one sentence>
[Top rejection risk] <novelty/clarity/evidence/policy/scope>
[Next action] <experiment, framing, related work, or venue switch>
信息
Category 人工智能
Name ijcai-topic-selection
版本 v20260724
大小 3.58KB
更新时间 2026-07-28
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