Skill UI

This guide details the process of packaging and evaluating academic artifacts for ACM CCS conferences. It outlines the criteria for earning specific ACM badges (e.g., Functional, Reusable, Results Reproduced) by ensuring that supporting evidence—such as exploits, defenses, and measurement pipelines—is turnkey, reproducible, and rigorously documented for the review committee. It covers best practices for artifact planning, handling sensitive material, and justifying any withheld components.

A comprehensive guide for authors targeting high-impact chemical engineering venues. It helps authors re-frame their work from simple material synthesis to demonstrating an applied advance with clear mechanistic insight. Focus areas include catalysis, separation, functional materials, and performance benchmarking under realistic process conditions.

This detailed guide helps authors assess the scientific rigor and scope fit for manuscripts targeting Composites Part B: Engineering. It covers advanced domains like composite mechanics, manufacturing processes, multiscale modeling, and multifunctional materials. It emphasizes that a strong contribution must demonstrate a clear, mechanism-driven advance from material science to structural application, supported by rigorous, quantitative experimental evidence and model validation.

This guide outlines the process for converting accepted academic papers into optional ACM reproducibility badges. It walks authors through the rigorous evaluation cycle, covering everything from initial opt-in before submission to providing detailed one-page artifact descriptions. The goal is to prove that the research results are available, functionally sound, highly reusable, and accurately reproducible by independent evaluators.

This comprehensive guide details the academic review pipeline for CoNEXT conference submissions. It covers double-anonymous double-blind review, the two-round TPC process, and the critical nature of the one-shot "major revision," which functions similarly to a journal's revise-and-resubmit cycle. It provides authors with strategic insights to structure their research for rigorous academic scrutiny.

This comprehensive audit guide assists researchers in preparing papers for CoNEXT submission. It covers critical workflow stages, including choosing the correct submission cycle (December or June), adhering to ACM acmart formatting and strict page budgets, managing the two-step registration process, ensuring double-anonymous review compliance, and implementing essential security checks to prevent identity leaks in artifacts and metadata.

A detailed model of the ACM/IEEE Design Automation Conference (DAC) research manuscript review process. This guide explains the double-blind, TPC-driven, and single-shot nature of the evaluation, emphasizing the critical balance between genuine novelty and measured Quality-of-Results (QoR). It outlines the high standards for evidence fairness, benchmark credibility, and ablation studies required for acceptance, differentiating DAC's approach from architecture and software venues.

This guide meticulously models the rigorous decision-making machinery of top-tier academic conferences, using EuroSys as a detailed example. It covers the two-round submission cycle, the 'Accept/Revise/Reject' outcome logic, double-blind review mechanics, and critical criteria (like deployment plausibility and verifiable fairness) that determine a paper's success. Ideal for researchers and graduate students preparing systems research submissions.

A comprehensive guide modeling the USENIX FAST conference submission review pipeline. It details the double-blind review process, the author-response period, and clarifies the four distinct outcomes (Accept, Shepherding, One-shot Revision, Reject). This resource helps authors understand the strategic implications of the review stages, especially how a one-shot revision differs from standard journal revisions, providing actionable advice for maximizing submission chances.

A comprehensive guide for designing and auditing empirical experiments in signal processing, audio, and speech domains. It emphasizes matching standard metrics (e.g., WER, SI-SDR, PSNR) to specific tasks, establishing current strong baselines, and systematically sweeping operating conditions (like SNR or reverberation time) to ensure robust, reliable, and publication-ready results.

A comprehensive guide for authors submitting to major signal processing conferences like ICASSP. It details how to audit, define, and precisely position a paper's novelty by comparing it against specific literature lanes (SPS journals, conferences, and ML venues). Learn to articulate the technical delta against the nearest work in a constrained, four-page format.

This comprehensive guide outlines the full project management lifecycle for submitting research papers to the ICASSP conference (IEEE Signal Processing Society). It details the annual timeline, critical milestones, backward planning heuristics, and best practices across various submission tracks to ensure timely and successful publication.