brycewang-stanford
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- ▌ Aamas Supplementary · brycewang-stanfordUse when preparing AAMAS supplementary material - proofs, extended game and mechanism definitions, extra multiagent experiments, opponent-set details, and the anonymized artifact zip - under the size cap, anonymity, and reviewer-discretion limits, including how to split a game-theory-plus-experiments paper across the 8-page body and the supplement.
- ▌ Aamas Writing Style · brycewang-stanfordUse when revising an AAMAS paper so the interaction contribution leads the first page, the solution concept or incentive property is named, the game and agents are legible, claims are paired with proofs or multiagent experiments, the argument fits eight two-column pages plus references, and the wording stays double-blind.
- ▌ Ccs Supplementary · brycewang-stanfordUse when preparing ACM CCS appendices and supplementary material, including the ethics considerations appendix, protocol transcripts, formal proofs, measurement tables, and anonymized supporting material under the 12-page body limit, anonymity, and reviewer-discretion constraints for a security paper.
- ▌ Ccs Writing Style · brycewang-stanfordUse when revising an ACM CCS paper for a precise threat model, calibrated attack/defense claims, 12-page ACM sigconf compression, double-blind wording, adaptive-evaluation honesty, and the security house style that survives an adversarial SIGSAC program committee.
- ▌ Acmmm Camera Ready · brycewang-stanfordUse when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poster presentation in Rio.
- ▌ Acmmm Related Work · brycewang-stanfordUse when building or auditing the related-work section of an ACM MM (ACM Multimedia) paper — covering the multimedia literature spread across vision, audio/speech, language, HCI/QoE, and systems, handling arXiv-speed concurrency, keeping citations double-blind, and verifying that cited "ACM MM papers" are ACM MM and not ICMR, MMSys, CVPR, or TOMM.
- ▌ Asplos Experiments · brycewang-stanfordUse when designing or auditing the evaluation of an ASPLOS paper — choosing among real silicon, FPGA prototypes, and simulators with cycle-accuracy caveats stated, selecting workload suites and baselines that hold up across three communities, attributing wins via ablation, and reporting energy, area, and overhead honestly.
- ▌ Cc Statistics · brycewang-stanfordUse when defining n, choosing statistical tests, correcting for multiple comparisons, and reporting error bars for a Cancer Cell (Cell Press) manuscript. Focuses on biological statistics and avoiding pseudo-replication; it does not design experiments or build figures.
- ▌ Cc Submission · brycewang-stanford bundleUse when running the final pre-submission preflight for Cancer Cell (Cell Press) — file completeness, STAR Methods / Key Resources Table, deposition accessions, statistics reporting, ethics statements, figure integrity, and portal logistics. It is the last gate before submitting.
- ▌ Cikm Author Response · brycewang-stanfordUse when preparing author-side communication around CIKM reviews — drafting for a response window if the cycle offers one (unconfirmed for 2026), writing camera-ready revision notes that answer reviewer concerns, handling post-decision chair correspondence, and converting rejection reviews into a resubmission brief.
- ▌ Cikm Reproducibility · brycewang-stanfordUse when hardening the reproducibility of a CIKM paper — pinning the pipeline stages where IR, mining, and knowledge-management results silently diverge, documenting KGs and enterprise data that cannot be released, keeping the GenAI disclosure consistent with how code and data were produced, and preparing the post-acceptance release.
- ▌ Cikm Topic Selection · brycewang-stanfordUse when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM against SIGIR, KDD, WSDM, TheWebConf, SIGMOD/VLDB, or ISWC, and when choosing among CIKM's five tracks before writing begins.
- ▌ Colm Author Response · brycewang-stanfordUse when writing a COLM rebuttal in the OpenReview discussion phase — triaging reviews released in late May, running cache-based follow-up experiments inside the roughly two-and-a-half-week window, answering contamination and baseline-fairness objections with evidence, and writing for the area chair who decides in July.
- ▌ Colm Reproducibility · brycewang-stanfordUse when hardening a COLM paper's reproducibility story — pinning open-weight checkpoints and tokenizers, handling API-model drift and deprecation honestly, versioning evaluation harnesses and prompts, disclosing compute, and writing availability statements that distinguish what is releasable from what is not.
- ▌ Colm Topic Selection · brycewang-stanfordUse when deciding whether language-model research belongs at COLM or should route to ACL/EMNLP, ICLR, NeurIPS, ICML, or a workshop — applying the object-of-study test, matching against COLM's CFP lanes (training, data, evaluation, inference, safety), and weighing the trade-offs of a young venue before writing begins.
- ▌ Colt Author Response · brycewang-stanfordUse when drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews, handling proof-correctness objections, tightness and novelty-of-technique challenges, the area-chair identity-reveal rule, and concession strategy for theorem-first papers where one unrepaired gap outweighs every polished answer.
- ▌ Colt Reproducibility · brycewang-stanfordUse when strengthening the reproducibility of a COLT (Conference on Learning Theory) paper, where reproducing means re-deriving — complete proofs, explicit assumptions, tracked constants, correctly invoked external results, self-contained notation — plus seeds and scripts for any numerical illustration the paper carries.
- ▌ Colt Topic Selection · brycewang-stanfordUse when deciding whether a result is COLT-shaped (Conference on Learning Theory) — a theorem-first learning-theory contribution — versus better routed to ALT, STOC/FOCS, NeurIPS/ICML/AISTATS, JMLR, or a statistics journal, and whether the right vehicle is a full paper or a COLT open-problem piece.
- ▌ Conext Experiments · brycewang-stanfordUse when designing or auditing the evaluation of an ACM CoNEXT paper — matching evidence to claim shape with real testbeds and deployments, honest and tuned baselines, measurement statistics and uncertainty, trace and config provenance, and contamination-aware ablations for ML-for-networking work.
- ▌ Corl Author Response · brycewang-stanfordUse when drafting the CoRL rebuttal — a single-page PDF due days after reviews are released, aimed at reviewers, the Area Chair, and the discussion window that follows. Covers triage against the first-round gate, one-page layout economy, presenting new numbers compactly, and tone for an exchange that becomes public on acceptance.
- ▌ Corl Reproducibility · brycewang-stanfordUse when making a CoRL robot-learning paper reproducible — pinning simulator and driver versions, releasing training configs, demonstration data and checkpoints, documenting hardware setups that cannot be rerun, seed policy, evaluation scripts, and honest availability statements for code, data, and robot platforms.
- ▌ Corl Topic Selection · brycewang-stanfordUse when deciding whether a project belongs at CoRL, the Conference on Robot Learning, or should be routed to ICRA, IROS, RSS, NeurIPS, ICLR, ICML, or a journal — based on whether the learned component is the contribution, what embodied evidence exists, and which reviewer community should judge the claim.
- ▌ Crim Rebuttal · brycewang-stanfordUse when writing the response to a Criminology (ASC / Wiley) revise-and-resubmit. Criminology revisions usually require converting multiple expert reviewers across the field's disciplines while keeping the editor confident the revision is convergent and the theoretical contribution intact. Structures the response letter; it does not fabricate new results.
- ▌ Crim Workflow · brycewang-stanfordUse as the entry point for any Criminology (ASC / Wiley) manuscript. Routes to the right crim sub-skill based on where you are in the lifecycle and whether the paper is a full Article or a Research Note. Criminology is theory-forward and interdisciplinary, so the router first checks that the paper makes a criminological contribution, not just reports a crime correlation. It dispatches; it does not draft content.
- ▌ Cscw Author Response · brycewang-stanfordUse when a CSCW paper draws Revise and Resubmit or Revise for External Review — triaging reviewer requests, running the weeks-long revision as a project, and writing the point-by-point response letter that the same reviewers will read before they reread anything else.
- ▌ Cscw Reproducibility · brycewang-stanfordUse when strengthening the transparency of a CSCW paper — auditable qualitative analysis trails, documented trace pipelines, codebooks and instruments, and honest data-availability statements when community and participant data cannot ethically be shared.
- ▌ Cscw Topic Selection · brycewang-stanfordUse when deciding whether a project belongs at CSCW — is the group, community, or organization the real unit of analysis? — and running the routing decision against CHI, ICWSM, DIS, GROUP, TOCHI, and social-science journals before any drafting or platform account setup begins.
- ▌ Cvpr Author Response · brycewang-stanfordUse when planning or drafting the CVPR one-page rebuttal after reviews are released, covering the official rebuttal template, the ban on new contributions and external links, triaging multiple reviews at 16k-submission scale, choosing which numbers fit in one page, and writing for the AC who reads the discussion.
- ▌ Cvpr Reproducibility · brycewang-stanfordUse when hardening a CVPR paper's reproducibility story, covering the Compute Reporting Form's hardware and compute sections, training-recipe disclosure, benchmark protocol and split hygiene, seed and variance reporting for vision experiments, and closing the gaps reviewers probe at a benchmark-driven venue.
- ▌ Cvpr Topic Selection · brycewang-stanfordUse when deciding whether a project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods, datasets, and application papers, realistic odds at 25% acceptance and 16k submissions, and routing to ICCV, ECCV, WACV, 3DV, NeurIPS, or a journal.
- ▌ Demog Rebuttal · brycewang-stanfordUse when writing the response to a Demography (PAA / Duke University Press) revise-and-resubmit. Demography review is double-blind and synthesized by a topic-area Deputy Editor, so the response must convert every expert reviewer on demographic substance (rates, identification, methods) without alienating the editor. Structures the response letter; it does not fabricate new results.
- ▌ Demog Workflow · brycewang-stanfordUse as the entry point for any Demography (PAA / Duke University Press) manuscript. Routes to the right Demography sub-skill based on where you are in the lifecycle and which article type (Research Article, Research Note, Commentary) fits. It dispatches; it does not draft content.
- ▌ Eacl Author Response · brycewang-stanfordUse when drafting an EACL author response during the ACL Rolling Review rebuttal window, covering how to triage reviewer points, address the action editor who writes the meta-review, answer NLP objection patterns, run in-window experiments, flag deficient reviews, and decide respond-now versus revise-for-a-later-venue given EACL's single cycle.
- ▌ Eacl Reproducibility · brycewang-stanfordUse when running the Responsible NLP checklist as a claims audit for an EACL paper, covering hyperparameter and compute disclosure, verbatim prompt and decoding reporting, data-contamination stance, variance and significance reporting, multilingual coverage claims, and consistency between the checklist answers and what the paper actually contains.
- ▌ Eacl Topic Selection · brycewang-stanfordUse when deciding whether a project is EACL-shaped or better routed to ACL, EMNLP, NAACL, AACL, TACL, Computational Linguistics, LREC-COLING, COLM, or an ML venue, covering the long-versus-short choice, the accept-Findings calculus, and how EACL's single ARR cycle and irregular cadence affect the routing decision.
- ▌ Ecai Reproducibility · brycewang-stanfordUse when building the reproducibility story for an ECAI paper — a complete proof appendix for theory/KR work, a seeded and cached package for empirical/ML work, provenance pinning for datasets and models, and an anonymized supplement that satisfies double-blind review inside ECAI's tight 7-page body with no separate artifact track.
- ▌ Ecai Topic Selection · brycewang-stanfordUse before writing to decide whether a project belongs at ECAI versus IJCAI, AAAI, AAMAS, KR, or a pure-ML venue, and whether it should go to the ECAI main track or the co-located PAIS applications track — using contribution shape, the model-swap test, the European/general-AI fit, and the calendar (including the joint IJCAI-ECAI 2026 cycle).
- ▌ Eccv Author Response · brycewang-stanfordUse when drafting an ECCV rebuttal — the optional one-page, two-column PDF answering three-plus reviews inside a nine-day window (reviews May 2, rebuttal due May 11 in 2026), with references counted inside the page, no venue-forbidden extras, and arguments sized for the area-chair discussion that follows.
- ▌ Eccv Reproducibility · brycewang-stanfordUse when hardening the reproducibility story of an ECCV paper — training recipes and schedules readers can re-run, dataset versioning and split provenance, pinned foundation-model dependencies, compute disclosure, and seed/variance honesty for benchmark deltas, sized for the 14-page LNCS body plus supplement.
- ▌ Eccv Topic Selection · brycewang-stanfordUse when deciding whether a computer-vision project should target ECCV — weighing the two-year even-year cadence against CVPR, ICCV, WACV, BMVC, ACCV, NeurIPS, and journal routes, testing whether the work matches ECCV's breadth from geometry to vision-language, and reading the Koenderink Prize lineage as a durability signal.
- ▌ Edbt Author Response · brycewang-stanfordUse when drafting EDBT author responses across the two turns of a cycle — the short author-feedback reply on the initial reviews, and the in-cycle revise-and-resubmit change letter that maps every reviewer request to a concrete revision re-read by the original reviewers under the OpenProceedings process.
- ▌ Edbt Reproducibility · brycewang-stanfordUse when strengthening EDBT reproducibility for a database-systems paper, covering a runnable artifact, pinned environments and workloads, dataset and query-log provenance, claim-to-evidence mapping, honest degrees of reproducibility, and consistency between the paper and the package for the open-access OpenProceedings record.
- ▌ Edbt Topic Selection · brycewang-stanfordUse when deciding whether a data-management project belongs at EDBT or should be routed to SIGMOD, VLDB/PVLDB, ICDE, the co-located ICDT theory venue, or a database journal, and when choosing the EDBT paper shape (Regular / Experiments-&-Analysis / Vision) and the nearest submission cycle.
- ▌ Emnlp Supplementary · brycewang-stanfordUse when dividing an EMNLP paper between content pages, uncounted Limitations and ethics sections, appendices, and ACL Rolling Review supplementary uploads — deciding what reviewers are owed in the body, what belongs in appendix prompts-and-tables territory, and what ships as anonymous code and data archives.
- ▌ Emnlp Writing Style · brycewang-stanfordUse when revising an EMNLP draft for the venue's empirical voice — phenomenon-first framing, claims scoped to tested languages and domains, examples tied to counted errors, a Limitations section with content, honest hedging calibrated to evidence strength, and ACL two-column discipline for long and short formats.
- ▌ Facct Supplementary · brycewang-stanfordUse when deciding what belongs in an ACM FAccT paper body versus its endmatter statements, appendices, and supplementary material — the 14-page acmart budget, the extra endmatter page for ethics/adverse-impacts statements, the rule that decision-critical evidence stays in the reviewed pages, mutually-anonymous supplementary material, and how to split an interdisciplinary paper between body, endmatter, and artifact.
- ▌ Facct Writing Style · brycewang-stanfordUse when revising an ACM FAccT paper so that a fairness/accountability/transparency contribution is legible on the first page to a mixed CS+law+social-science reviewer pool, claims are scoped to who is affected, limitations and harms are argued rather than recited, the interdisciplinary framing is native, and the acmart page budget and endmatter statements are used well.
- ▌ Fast Author Response · brycewang-stanfordUse when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change ledger that maps every required change (including any newly required storage experiments) to a concrete result, resubmitted at the next deadline for a terminal accept/reject.
- ▌ Fast Reproducibility · brycewang-stanfordUse when strengthening USENIX FAST reproducibility and open-science evidence, covering device and firmware provenance, device-state disclosure, trace availability and replay, claim-to-evidence mapping, honest degrees of reproducibility on hardware that ages and varies, and consistency between what the paper says and what the artifact contains.
- ▌ Fast Topic Selection · brycewang-stanfordUse when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and when distinguishing FAST from general-systems siblings by storage-contribution shape, real-device evidence, and the two-deadline calendar.
- ▌ Focs Author Response · brycewang-stanfordUse when managing author-side communication around a FOCS (IEEE Symposium on Foundations of Computer Science) submission, where no rebuttal round exists — discharging objections inside the paper before submission, handling rare chair-mediated queries, and converting a rejection into a disciplined autumn resubmission.
- ▌ Focs Reproducibility · brycewang-stanfordUse when hardening a FOCS (IEEE Symposium on Foundations of Computer Science) paper's checkability — the theory analogue of reproducibility — via hypothesis ledgers, single-source theorem statements that cannot drift between submission and arXiv versions, audits of imported theorems, and certificates for machine-checked steps.
- ▌ Focs Topic Selection · brycewang-stanfordUse when deciding whether a theoretical-computer-science result belongs at FOCS (IEEE Symposium on Foundations of Computer Science) — testing foundations-level significance, weighing the April deadline against sibling theory venues like STOC, SODA, CCC, ITCS, or CRYPTO, and applying the CFP's broaden-the-reach clause.
- ▌ Hpca Topic Selection · brycewang-stanfordUse when deciding whether a project is HPCA-shaped or better routed to ISCA, MICRO, ASPLOS, or a systems/theory venue, weighing whether the machine, the mechanism, or the measurement is the contribution, and whether the main track or the HPCA Industry track fits, from the winter seat of the architecture calendar.
- ▌ Icalp Supplementary · brycewang-stanfordUse when splitting an ICALP (EATCS) theory paper between the 15-page main body and the clearly labelled appendix / full version — deciding what a referee must see in the body versus what may be deferred, ensuring every deferred proof is actually present and findable, and keeping the split consistent with lightweight double-blind review.
- ▌ Icalp Writing Style · brycewang-stanfordUse when shaping the exposition of an ICALP (EATCS) theory paper — stating the model before the theorem, putting a legible theorem statement and its improvement over prior bounds on the first page, structuring the 15-page body around the argument while full proofs live in the appendix/full version, and meeting the correctness-and-clarity bar of Track A and Track B referees.
- ▌ Icassp Experiments · brycewang-stanfordUse when designing or auditing ICASSP experiments across signal-processing modalities — matching the metric to the task law (WER, SI-SDR, PESQ/STOI, EER/minDCF, PSNR/SSIM, BER, RMSE), anchoring baselines to current strong methods and standard corpora, sweeping the operating condition, and reporting spread over runs within the four-page limit.
- ▌ Iccv Author Response · brycewang-stanfordUse when ICCV reviews arrive and the one-page rebuttal must be drafted inside the one-week May window, covering the official template's constraints, evidence selection when no attachments or links are allowed, addressing reviewers who are themselves deadline-crushed authors, and writing for the meta-review that follows.
- ▌ Iccv Reproducibility · brycewang-stanfordUse when hardening the reproducibility story of an ICCV paper, covering full recipe disclosure without a mandated compute form, protocol pinning for foundation-model and zero-shot evaluations, seed and variance honesty at vision training scale, and writing results that stay checkable across the two-year gap to the next ICCV.
- ▌ Iccv Topic Selection · brycewang-stanfordUse when deciding whether a computer-vision project should target ICCV, weighing the biennial odd-year cadence and its two-year option cost, what the Marr Prize lineage says about ICCV taste, honest odds at 24% acceptance, and when to hold work for CVPR, ECCV, WACV, or a journal instead of forcing the March deadline.
- ▌ Icde Author Response · brycewang-stanfordUse when responding to IEEE ICDE reviews, whether drafting a rebuttal to reviewer concerns or preparing a revise-and-resubmit change document for an invited ICDE revision under the 4-week window, coordinating with area chairs, addressing systems-reviewer pushback on baselines and cost, and deciding what is feasible before the revision deadline.
- ▌ Icde Topic Selection · brycewang-stanfordUse when deciding whether a project is a strong IEEE ICDE fit, routing among the three database venues from ICDE's seat (SIGMOD's quarterly rounds vs PVLDB's monthly deadlines vs ICDE's two rounds), choosing ICDE research vs industry track, applying the data-management-primitive test, and comparing with TKDE, EDBT, or systems venues.
- ▌ Icdm Author Response · brycewang-stanfordUse when preparing for the review phase of an ICDM (IEEE International Conference on Data Mining) submission - planning for a venue whose tradition is NO author rebuttal, pre-answering reviewer questions inside the submitted PDF and cited artifact, and, only if the current edition opens a response window, drafting a tight anonymity-safe reply.
- ▌ Icdm Reproducibility · brycewang-stanfordUse when strengthening reproducibility for an ICDM (IEEE International Conference on Data Mining) paper - seeds, configs, compute and data reporting, and an anonymized reproduction package that survives the Research Track's triple-blind regime while every detail fights for room inside the single 10-page IEEE all-inclusive cap.
- ▌ Icdm Topic Selection · brycewang-stanfordUse when deciding whether a project is a strong ICDM (IEEE International Conference on Data Mining) fit, choosing among its Research, Applied, and Blue Sky tracks, and comparing ICDM with KDD, SDM, CIKM, WSDM, WWW, ICDE, or the ML flagships by contribution type, sponsor community, and the data-mining routing calendar seen from ICDM's June deadline.
- ▌ Icdt Author Response · brycewang-stanfordUse when responding to ICDT (International Conference on Database Theory) referees — principally the first-cycle Revise-and-resubmit round, where you return a corrected paper that closes each identified proof gap, plus any short author-comment phase, keeping the response anonymous and mapping every referee point to a concrete change in the revised PDF.
- ▌ Icdt Reproducibility · brycewang-stanfordUse when strengthening the verifiability of an ICDT (International Conference on Database Theory) paper — the theory-venue analogue of reproducibility — covering complete and self-contained proofs, exact models and assumptions, claim-to-proof mapping, matching upper and lower bounds, consistency between the LIPIcs paper and the arXiv full version, and honest labeling of what is proved versus conjectured.
- ▌ Icdt Topic Selection · brycewang-stanfordUse when deciding whether a database-theory project belongs at ICDT (International Conference on Database Theory) or should be routed to PODS, the co-located EDBT systems track, a pure-TCS venue (LICS, ICALP, STACS), or a journal (ACM TODS, LMCS, TheoretiCS), and when distinguishing ICDT from its sibling database-theory flagship PODS by calendar, publisher, and community.
- ▌ Iclr Author Response · brycewang-stanfordUse when drafting ICLR OpenReview author discussion replies, revision notes, public comments, restricted comments, and responses to reviewer or AC concerns during the discussion period. Use when reviews land and you must decide what to answer publicly versus privately, how to log a discussion-period revision, or how to move a borderline score before the AC writes the meta-review for the permanent record.
- ▌ Iclr Reproducibility · brycewang-stanfordUse when strengthening reproducibility for ICLR papers, including seeds, variance, compute, datasets, implementation details, ethics statements, and reviewer-verifiable evidence. Use when writing the ICLR reproducibility statement, when a reviewer says a result is not verifiable, or when mapping each representation-learning claim to a seed, split, and command so anyone reading the permanent OpenReview record can check it.
- ▌ Iclr Topic Selection · brycewang-stanfordUse when deciding whether a project is a strong ICLR submission, should be reframed for ICLR, or should be routed to NeurIPS, ICML, AAAI, AISTATS, ACL, CVPR, KDD, or another venue. Use when a project lacks a clear representation-learning insight, when an application result needs a learning contribution to fit ICLR, or when weighing ICLR's deep-learning center of gravity against a better-matched venue.
- ▌ Icml Author Response · brycewang-stanfordUse when drafting ICML rebuttals and reviewer-author discussion replies under OpenReview double-blind constraints, where authors respond after initial reviews, reviewers may then have one additional discussion round, no revised paper can be uploaded during the period, and responses must stay anonymous. Use to triage objections by soundness, originality, significance, clarity, ethics, and reproducibility for the AC.
- ▌ Icml Reproducibility · brycewang-stanfordUse when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix evidence, impact-statement support, and reviewer-facing reproducibility claims.
- ▌ Icml Topic Selection · brycewang-stanfordUse when deciding whether a manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT, MLSys, TMLR, JMLR), or rerouting an ML paper based on its contribution type, strength of evidence, theory-versus-empirical balance, and interest to the broad ICML machine-learning community. Use before committing effort to an ICML submission.
- ▌ Icra Author Response · brycewang-stanfordUse when responding to ICRA reviews in the channels that actually exist — turning decision-day reviewer comments into a disciplined camera-ready revision, writing the revise-and-resubmit response letter on the RA-L pathway, or converting an ICRA reject into a targeted IROS or RA-L resubmission — since classic ICRA offers no rebuttal.
- ▌ Icra Reproducibility · brycewang-stanfordUse when hardening an ICRA paper's reproducibility — specifying robot platform, firmware, ROS and driver versions, control rates, and sensor calibration; logging rosbags and seeds; separating what others can rerun (code, sim) from what they can only audit (your hardware trials); and writing honest availability statements.
- ▌ Icra Topic Selection · brycewang-stanfordUse when deciding whether a robotics project belongs at ICRA, choosing between a direct ICRA submission and the RA-L journal route with conference presentation, or re-routing to IROS, RSS, CoRL, T-RO, HRI, or CASE based on contribution type, evidence shape, and the embodiment test.
- ▌ Icse Author Response · brycewang-stanfordUse when drafting an ICSE author response or executing a Major Revision, covering criterion-targeted replies to research-track reviews, the September response window, the four-week revision sprint to the November deadline, response-letter structure, and change tracking that survives PC re-review.
- ▌ Icse Reproducibility · brycewang-stanfordUse when building the verifiability story of an ICSE research-track paper, covering the open-science policy's sharing-by-default expectation, the Data Availability section, anonymized replication packages at review time, provenance pinning for mining and LLM studies, and honest non-sharing justifications.
- ▌ Icse Topic Selection · brycewang-stanfordUse when deciding whether a software-engineering project belongs in the ICSE research track or should be routed to FSE, ASE, ISSTA, MSR, ICSME, EMSE/TSE/TOSEM, or an ICSE co-located track such as NIER, SEIP, SEIS, or Demonstrations, based on contribution type, evidence maturity, and audience.
- ▌ Icsme Supplementary · brycewang-stanfordUse when deciding what belongs in an IEEE ICSME paper body versus its anonymized artifact and appendices, covering the IEEEtran two-column 10-page budget where figures and appendices count, the rule that decision-critical evidence stays inside the reviewed pages, double-anonymous supplementary material, and how to split a mining/evolution paper between body and package.
- ▌ Icsme Writing Style · brycewang-stanfordUse when revising an IEEE ICSME paper for a maintenance/evolution contribution stated on the first page, research-question contracts, a threats-to-validity section that argues rather than recites, evidence proportional to the claim, double-anonymous wording, and disciplined use of the IEEEtran two-column 10-page budget.
- ▌ Ieeesp Submission · brycewang-stanfordUse when auditing an IEEE S&P (Oakland) submission for HotCRP readiness, including the registration freeze with ORCID matching, the 13-page/18-page compsoc format, anonymization, the Ethics Considerations field, SoK checkbox, conflict declarations, and the desk-reject triggers specific to S&P cycles.
- ▌ Ijcai Supplementary · brycewang-stanfordUse when preparing IJCAI or IJCAI-ECAI supplementary material, technical appendices, ZIP files, proofs, derivations, data, source code, and resubmission files under deadline, format, size, anonymity, and reviewer-discretion constraints.
- ▌ Ijcai Writing Style · brycewang-stanfordUse when revising an IJCAI or IJCAI-ECAI paper for broad AI significance, 7-page-body compression, self-contained exposition, double-blind wording, optional ethics discussion, reproducibility clarity, and policy-safe use of LLM editing.
- ▌ Ipsn Author Response · brycewang-stanfordUse when drafting an IPSN-lineage rebuttal, covering the double-blind response to sensor-systems reviewers on ground truth, baseline fairness, deployment realism, energy accounting, and simulation-vs-real-hardware doubts, without leaking identity and without promising experiments not yet run.
- ▌ Ipsn Reproducibility · brycewang-stanfordUse when strengthening IPSN-lineage reproducibility for a hardware/embedded/deployment artifact, covering firmware and board files, pinned toolchains, raw traces and calibration, honest degrees of reproducibility for a physical system, anonymized-but-runnable artifacts, and consistency between the paper and the package.
- ▌ Podc Experiments · brycewang-stanfordUse when building the evidence for an ACM PODC paper — where "evidence" is a proof, not a benchmark. Covers matching upper and lower bounds, tightness arguments, model and assumption stress-tests, adversary-strength calibration, and the honest, clearly-optional role of any simulation in a distributed-computing-theory paper.
- ▌ Pods Experiments · brycewang-stanfordUse when designing or auditing the analytical "evidence" of an ACM PODS paper — worst-case and average-case analyses, matching upper and lower bounds, dichotomy completeness, correct complexity assumptions, and the occasional empirical validation when a theory paper claims practicality — matching the rigor to the shape of each theoretical claim.
- ▌ Popl Experiments · brycewang-stanfordUse when designing the empirical component of a POPL paper — deciding whether evidence should be a mechanization, a prototype, case studies, or benchmarks; reporting proof effort and case-study coverage honestly; and keeping performance numbers in a supporting role so the formal claim stays the paper's center of gravity.
- ▌ Socc Experiments · brycewang-stanfordUse when designing or auditing ACM SoCC evaluations, covering real or realistic deployments over simulation, production or representative workloads and traces, tail-latency and cost as first-class metrics, fair tuned baselines, scale and multi-tenancy behavior, reproducible measurement pipelines, and matching evidence to the shape of each cloud claim.
- ▌ Soda Experiments · brycewang-stanfordUse when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.
- ▌ Sosp Experiments · brycewang-stanfordUse when designing or auditing the evaluation of a SOSP paper — mapping every claim to an experiment, choosing baselines a systems PC will accept as fair, mixing microbenchmarks with end-to-end and failure runs, reporting tails and overheads honestly, and isolating the mechanism the design credits.
- ▌ Stoc Experiments · brycewang-stanfordUse when judging whether computation belongs in a STOC (ACM Symposium on Theory of Computing) paper at all — STOC accepts on theorems, with no empirical-evaluation expectation — and when it does, scoping it as certified proof computation, constructive search, or clearly labeled illustration rather than benchmarking.
- ▌ Uai Supplementary · brycewang-stanfordUse when splitting a UAI paper between the 8-page main part, the unlimited in-PDF appendix for proofs and protocols, and the optional 50 MB supplementary ZIP, deciding what reviewers must see in the body versus what may sit in material they are not required to read, all under double-blind and single-file constraints.
- ▌ Uai Writing Style · brycewang-stanfordUse when revising a UAI manuscript for probabilistic-inference readers, enforcing precise notation for distributions, graphs, and interventions, explicit assumption and identifiability statements, an 8-page main part that carries the whole argument while proofs sit in the appendix, and claims calibrated to what the theory and experiments show.
- ▌ Uist Experiments · brycewang-stanfordUse when designing or auditing the evaluation of a UIST paper — choosing among technical benchmarks, controlled comparisons, usability walkthroughs, expert sessions, and demonstration applications, matching evaluation shape to the systems claim, and avoiding the ritual study that proves nothing the paper asserts.
- ▌ Vis Supplementary · brycewang-stanfordUse when deciding what belongs in an IEEE VIS paper body versus its supplemental materials, covering the VGTC/TVCG 9+2 page budget, the supplemental video that VIS reviewers routinely watch, the one-week supplemental deadline extension, double-blind supplemental anonymization, and how to split a visualization paper between the reviewed pages and the archive.
- ▌ Vis Writing Style · brycewang-stanfordUse when revising an IEEE VIS paper for a task-grounded visualization contribution on the first page, a design rationale that ties each visual encoding and interaction to a task, evaluation matched to the contribution type, honest limitations, and disciplined use of the VGTC/TVCG 9+2 page budget for a paper that will be read as an IEEE TVCG journal article.
- ▌ Vldb Experiments · brycewang-stanfordUse when designing or auditing the evaluation of a VLDB paper, covering workload and dataset realism at scale, competitor tuning fairness, scalability curves versus single points, tail-latency and throughput reporting, ablations that isolate the mechanism, and the loss-case disclosure PVLDB reviewers look for first.