Skill UI

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 detailed guide helps researchers determine the optimal top-tier venue (e.g., USENIX Security, IEEE S&P, ACM CCS) for their security research paper. It emphasizes that venue selection must be based on the committee's core expertise and the existence of reusable artifacts, measurements, or systems evidence, ensuring the work has the necessary technical depth to succeed.

A comprehensive guide to vcpkg, a native C/C++ package manager. It covers project setup, dependency management, and cross-compiling for robust builds. The guide details best practices for Manifest mode, CMake integration, and Visual Studio setup, ensuring reproducible and isolated build environments.

A comprehensive checklist for authors preparing an accepted IEEE VIS paper for the final camera-ready journal submission (IEEE TVCG). It guides authors through critical steps including de-anonymizing the work, applying the correct journal template, completing comprehensive metadata (ORCID, DOI), integrating required revisions, and ensuring all open materials are permanently linked to public archival DOIs.

A comprehensive guide for authors submitting to top-tier visualization venues (like IEEE VIS/TVCG). It teaches authors how to write the 'Related Work' section by adopting a 'delta-first' contrast approach, demonstrating novelty by clearly positioning the new work against prior art across multiple adjacent domains, including HCI, Graphics, and other regional visualization venues.

This guide details best practices for achieving high standards of reproducibility in visual analytics papers, focusing on open materials, verifiable code, and rigorous documentation. It covers mapping figures to data sources, preregistering studies, documenting data provenance, and defining the level of reproducibility achieved (e.g., turnkey, scripted).

A comprehensive guide detailing the rigorous, journal-style review process for IEEE VIS full-paper submissions. It explains the two-phase evaluation structure, the significance of a 'Conditional Accept' (treating it like a major R&R), and how the process differs fundamentally from single-decision conference models (e.g., CVPR, CHI). Essential reading for authors navigating academic publication.

A comprehensive audit guide for submitting full papers to IEEE VIS. It covers the complex, multi-stage submission process, requiring authors to adhere to journal-quality standards (IEEE TVCG). The guide details the strict deadlines for abstracts, full papers, and supplemental materials, along with critical mechanics like the 9+2 page budget, proper society/track selection, and advanced double-blind anonymization techniques.

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.

This comprehensive guide outlines the rigorous standards required for achieving experimental reproducibility in systems research papers (e.g., VLDB). It instructs authors on disclosing critical context, including hardware specifications, software configurations, data provenance, workload patterns, and handling measurement variance. Adhering to these guidelines ensures that all performance claims are fully traceable from raw data to published figures, meeting the highest standards of academic review.

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.