Skill UI

This guide helps researchers assess the optimal venue for their work, determining if their project aligns best with AISTATS, or if it is better suited for major ML conferences (NeurIPS, ICML, ICLR), UAI, or specific statistics journals. It emphasizes the need for strong statistical foundations, inference guarantees, and the unique intersection of AI, ML, and statistics before starting the writing process.

This guide helps researchers evaluate whether a security or privacy project is a suitable fit for top-tier academic conferences like IEEE S&P. It covers critical fit tests, such as establishing a defensible threat model and ensuring end-to-end evidence closure. It also provides advice on SoK paper formats, routing among major security venues (USENIX, CCS, NDSS), and adhering to submission rules like one-year embargoes.

A comprehensive project management guide for navigating the IEEE INFOCOM conference submission cycle. This skill outlines every critical milestone, from initial topic selection and abstract registration through full-paper submission, camera-ready preparation, and final presentation. It emphasizes backward planning around the single annual summer deadline and highlights key risk areas for success.

This guide helps authors set accurate expectations for academic paper submissions, particularly within fast-paced, first-round decision venues like RAST. It details the double-blind review process, how to interpret terse decisions, and guides strategic decisions regarding paper readiness, conference vs. regular track selection, and comparing different sibling journals.

This guide provides a comprehensive workflow for managing complex, multi-year academic research projects targeting large, multi-round conferences (like SIGMOD). It details the five-act publication cycle, strategies for round selection under embargo periods, backward planning from paper cutoffs, and essential team coordination practices for sustained research development.

This guide helps researchers evaluate the scope and general significance of their theoretical computer science work. It introduces the 'breadth test' (corridor, lineage, technique) and a detailed routing map to advise whether the paper is best suited for a flagship, broad-scope venue like STOC, or a more specialized conference (e.g., SODA, ITCS, CCC). It provides a structured decision procedure for optimizing academic publication success.

A comprehensive guide for researchers determining if their Human-Computer Interaction (HCI) project contribution is an 'interface artifact' suitable for UIST, or if it belongs to a different venue like CHI or CSCW. It employs the 'artifact-subtraction test' to distinguish between technical system novelty and empirical user findings, ensuring proper conference submission routing.