Cs Ai Conference Workflow

---
name: cs-ai-conference-workflow
description: Use when deciding which computer-science or AI conference skill to invoke next, comparing fit across the 155-conference CS roadmap, or routing an AI/ML/CS manuscript before venue-specific re-framing.
---

# CS/AI conference workflow (cs-ai-conference-workflow)

## Purpose

This is the router for the computer-science conference pack. It puts AI conferences first, then routes by contribution type across ML, data mining, vision, NLP, robotics, HCI, systems, security, software engineering, programming languages, databases, and theory. It does not replace a single-conference profile; it selects the right profile and forces an official-cycle check before submission.

## Ask six things first

1. **Contribution type:** algorithm, theory, system, dataset, benchmark, empirical study, user study, security finding, programming-language result, database system, or application.
2. **Evidence shape:** proof, benchmark, ablation, artifact, deployment, user study, field study, exploit/defense, theorem, or system measurement.
3. **Audience:** broad AI, subfield specialists, systems builders, security reviewers, HCI/design researchers, theory community, or domain users.
4. **Review constraints:** double-blind/anonymity, OpenReview visibility, rebuttal length, artifact policy, ethics, AI-use disclosure, and supplementary-material rules.
5. **Cycle risk:** deadline, page limit, author registration, conflict declarations, dual-submission policy, and camera-ready obligations.
6. **Fallback path:** sibling conference, journal, workshop, findings track, or arXiv-only revision.

## Quick routing

| Manuscript signature | Prefer skills |
|---|---|
| AI/ML first | `neural-information-processing-systems` / `international-conference-on-machine-learning` / `international-conference-on-learning-representations` / `aaai-conference-on-artificial-intelligence` / `international-joint-conference-on-artificial-intelligence` |
| Data mining and web AI | `acm-sigkdd-conference-on-knowledge-discovery-and-data-mining` / `the-web-conference` / `acm-international-conference-on-web-search-and-data-mining` / `acm-conference-on-recommender-systems` |
| Vision and multimodal media | `computer-vision-and-pattern-recognition` / `international-conference-on-computer-vision` / `european-conference-on-computer-vision` / `acm-international-conference-on-multimedia` |
| NLP, speech, and IR | `annual-meeting-of-the-association-for-computational-linguistics` / `conference-on-empirical-methods-in-natural-language-processing` / `interspeech` / `acm-sigir-conference-on-research-and-development-in-information-retrieval` |
| Robotics and embodied AI | `ieee-international-conference-on-robotics-and-automation` / `ieee-rsj-international-conference-on-intelligent-robots-and-systems` / `robotics-science-and-systems` / `conference-on-robot-learning` |
| HCI and visualization | `acm-chi-conference-on-human-factors-in-computing-systems` / `acm-symposium-on-user-interface-software-and-technology` / `acm-conference-on-computer-supported-cooperative-work-and-social-computing` / `ieee-visualization-conference` |
| Systems, networking, architecture, and HPC | `acm-symposium-on-operating-systems-principles` / `usenix-symposium-on-operating-systems-design-and-implementation` / `acm-sigcomm` / `international-symposium-on-computer-architecture` |
| Security and privacy | `ieee-symposium-on-security-and-privacy` / `usenix-security-symposium` / `acm-conference-on-computer-and-communications-security` / `network-and-distributed-system-security-symposium` |
| Software engineering, PL, and formal methods | `international-conference-on-software-engineering` / `acm-international-conference-on-the-foundations-of-software-engineering` / `acm-sigplan-conference-on-programming-language-design-and-implementation` / `acm-sigplan-symposium-on-principles-of-programming-languages` |
| Databases and theory | `acm-sigmod-international-conference-on-management-of-data` / `international-conference-on-very-large-data-bases` / `acm-symposium-on-theory-of-computing` / `ieee-symposium-on-foundations-of-computer-science` |

## Decision rules

- **AI first:** if the manuscript is fundamentally about machine learning, language, vision, data mining, agents, or responsible AI, start in the AI/ML rows before considering general CS venues.
- **Contribution type beats prestige:** a theorem paper belongs in COLT/STOC/FOCS/LICS-style venues; a built system belongs in SOSP/OSDI/NSDI/SIGCOMM/ASPLOS-style venues; a user-facing AI interface belongs in CHI/IUI/CSCW rather than only NeurIPS.
- **Evidence must match venue culture:** top AI wants strong baselines and ablations; systems wants artifacts and workloads; security wants threat models and ethics; HCI wants study design and participant context; theory wants complete proofs.
- **Official-cycle requirements are volatile:** always invoke the single-conference skill and re-check the current CFP/author kit before advising submission.
- **Rebuttal posture matters:** prepare concise, evidence-based responses and never reveal identity or add new off-policy material during author response.

## Output format

```text
[Top conference skill] <skill-name>
[Alt 1] <skill-name> (reason)
[Alt 2] <skill-name> (reason)
[Do not submit to] <venue> (one-line mismatch reason)
[Biggest current gap] novelty / evidence / proof / artifact / user study / ethics / format / official requirements
[Next step] invoke <skill-name> for single-venue fit and current-cycle checks
```