Skill UI

This guide outlines the crucial, multi-stage process of converting a conditionally accepted academic paper into the final, publishable camera-ready version for top-tier conferences. It covers fulfilling rebuttal promises, meeting strict ACM accessibility standards (e.g., alt text for every figure and table), managing the ACM TAPS workflow, and finalizing all technical and logistical assets.

A comprehensive audit guide for the final pre-upload submission of UIST (User Interface Software and Technology) conference papers. This document details critical steps, including adhering to strict formatting rules (e.g., two-column layout, page limits), managing the abstract and paper deadlines, and executing thorough anonymity sweeps to prevent desk rejection. Essential reading for authors preparing for major academic conferences.

A comprehensive guide for positioning research papers for top-tier security conferences like USENIX Security. It covers defining coverage against 'Big-Four' and specialty venues, ensuring novelty across multi-cycle academic pipelines, identifying mechanism-level differentiators, and mastering double-blind citation mechanics for maximum impact.

This guide outlines the strict formatting and structural guidelines for submitting security conference papers (like USENIX Security). It helps authors determine which material—core mechanisms, proofs, or supplementary data—must remain in the main body to guarantee review visibility, versus what can be safely demoted to optional appendices or external artifacts.

A comprehensive guide for authors submitting visualization papers to major conferences like IEEE VIS. It outlines the strict rules for partitioning content, ensuring the core argument remains judgeable from the main body while leveraging supplemental materials (video, code, full data) to demonstrate interaction and reproducibility. Essential reading for academic researchers in the field.

A comprehensive project management guide for submitting academic papers, specifically tailored for the IEEE VIS conference cycle. It maps out all critical milestones, from initial area selection and abstract submission through to conditional acceptance revisions and final camera-ready preparation. Use this skill to responsibly plan for the annual cycle, manage reviewers' expectations, and mitigate common submission risks.

A comprehensive guide for revising visualization research papers for top-tier conferences and journals (e.g., IEEE VIS/TVCG). It mandates shifting focus from aesthetic design to rigorous, task-grounded contributions. Users learn how to justify every visual encoding and interaction based on the analytical task, ensure evaluation methods match the contribution type, and structure the narrative around the data-task problem.

This comprehensive guide outlines the rigorous, multi-step process required for authors to finalize and submit their accepted papers for VLDB proceedings. It covers essential technical compliance points, including using the correct volume template, ensuring PDF/A compliance with embedded fonts, adhering to figure legibility rules, and detailing the permanent storage of research artifacts (DOI-backed). It also outlines the associated conference presentation obligations.

This comprehensive guide teaches researchers how to conduct an exhaustive "reinvention audit" for academic papers, specifically in the database field. It covers searching deep historical literature (pre-2000), modern conference venues (SIGMOD, ICDE), and industrial open-source systems (PostgreSQL, RocksDB) to ensure true novelty and properly position the contribution delta.

A comprehensive checklist and guide for authors submitting research papers to PVLDB (Proceedings of the VLDB Endowment). This resource details critical steps, including adherence to multiple deadlines (abstract, full paper), category budget selection, single-blind formatting rules, and author co-contribution caps, ensuring submissions avoid desk rejection.

A detailed guide for revising academic papers, specifically tailored for systems and database conferences like VLDB. It emphasizes establishing a strong 'page-one contract,' quantifying all performance claims with scoped metrics and baselines, and maintaining rigorous candor regarding design trade-offs and terminology throughout the manuscript.

A comprehensive guide for authors submitting papers to web conferences. It details how to structure empirical claims, ensuring evidence matches the claim's scope (scale, freshness, generalizability). The guide covers avoiding methodological flaws like temporal or popularity leakage, selecting datasets with proper provenance, and performing rigorous ablations and statistical analysis for maximum academic rigor.