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Journal Q1 Polish

Q1期刊论文润色

Purpose: Final polish pass before submitting to Q1 journals (ISI/Scopus indexed). Ensures paper meets top-tier standards for notation consistency, language quality, and experimental rigor.
When to use: After paper draft is complete, before submission. NOT for initial writing — use 
paper-writing
for that.
Links to:
  • paper-writing
    — structure, sections, flow
  • technical-english-cs
    — diction, terminology, IEEE/ACM style
  • experiment-tracking
    — results tables, metrics format
  • internal-critique
    — self-review checklist
  • publication-strategy
    — venue selection, submission prep
用途： 向Q1期刊（ISI/Scopus收录）投稿前的最终润色环节。确保论文在符号一致性、语言质量和实验严谨性方面达到顶级期刊标准。
使用时机： 论文草稿完成后、投稿前使用。不适用于初稿写作——初稿写作请使用
paper-writing
工具。
关联工具：
  • paper-writing
    — 结构、章节、行文逻辑
  • technical-english-cs
    — 措辞、术语、IEEE/ACM格式
  • experiment-tracking
    — 结果表格、指标格式
  • internal-critique
    — 自我审查清单
  • publication-strategy
    — 期刊选择、投稿准备

Step 1 — Notation & Complexity Sync (Paper ↔ Thesis)

步骤1 — 符号与复杂度同步（论文 ↔ 学位论文）

Paper phải dùng notation và complexity format giống thesis để tránh mâu thuẫn khi defend.
论文必须使用与学位论文一致的符号和复杂度格式，避免答辩时出现矛盾。

1.1 Notation Table

1.1 符号对照表

Tạo bảng notation mapping giữa paper và thesis:
SymbolPaperThesisStatus
Learning rate$\eta$$\eta$✅ Match
Batch size$B$$B$✅ Match
Model params$\theta$$\theta$✅ Match
Checklist:
  • Tất cả biến trong paper xuất hiện trong thesis notation table
  • Không có symbol conflict (cùng symbol, khác meaning)
  • Greek vs Latin letters consistent
  • Subscript/superscript convention thống nhất
创建论文与学位论文的符号映射表：
符号论文学位论文状态
学习率$\eta$$\eta$✅ 一致
批量大小$B$$B$✅ 一致
模型参数$\theta$$\theta$✅ 一致
检查清单：
  • 论文中的所有变量均出现在学位论文的符号表中
  • 无符号冲突（同一符号对应不同含义）
  • 希腊字母与拉丁字母的使用保持一致
  • 下标/上标的使用规则统一

1.2 Complexity Notation

1.2 复杂度符号

Q1 journals expect O(·) notation with explicit assumptions:
Time Complexity: O(T · N · d)
  T = number of rounds
  N = number of clients
  d = model dimension
  
Space Complexity: O(N · d)
  Per-client model storage
Rules:
  • Always state what each variable represents
  • Include amortized complexity if relevant
  • Compare with baseline complexity in the same format
Q1期刊要求O(·)符号需附带明确假设：
Time Complexity: O(T · N · d)
  T = number of rounds
  N = number of clients
  d = model dimension
  
Space Complexity: O(N · d)
  Per-client model storage
规则：
  • 必须说明每个变量的含义
  • 若相关，需包含摊销复杂度
  • 使用相同格式与基线复杂度进行对比

1.3 Abstract ↔ Section 3.3 Complexity Sync

1.3 摘要 ↔ 3.3节复杂度同步

Critical for Q1: Complexity stated in abstract must exactly match the analysis in Section 3.3 (or equivalent methodology section). Mismatches are a common reviewer complaint.
Audit template:
Abstract claims: "O(T · N · d) time, O(N · d) space"
Section 3.3 states: "O(T · N · d) time, O(N · d) space"
Status: ✅ Match / ❌ Mismatch → fix: ___
Common mismatch patterns:
  • Abstract says "linear time" but Section 3.3 shows O(N²)
  • Abstract omits a factor (e.g., forgets communication rounds T)
  • Abstract uses different variable names than Section 3.3
Q1期刊关键要求： 摘要中陈述的复杂度必须与3.3节（或等效方法论章节）中的分析完全一致。不一致是审稿人常见的投诉点。
审计模板：
Abstract claims: "O(T · N · d) time, O(N · d) space"
Section 3.3 states: "O(T · N · d) time, O(N · d) space"
Status: ✅ Match / ❌ Mismatch → fix: ___
常见不一致模式：
  • 摘要称“线性时间”但3.3节显示O(N²)
  • 摘要遗漏某个因子（例如，忘记通信轮次T）
  • 摘要使用的变量名称与3.3节不同

1.4 Sampling Ratio Notation Sync

1.4 采样率符号同步

When paper and thesis use different notation for the same concept, create explicit mapping:
ConceptPaperThesisUnified Form
Effective sampling ratio
\min(C.ratio, 75/N)
\min(s_{\text{config}}, T/N)
\min(r_{\text{max}}, S/N)
Rule: Pick one form (prefer thesis notation if already established) and use consistently. Add a footnote in paper: "We use the notation from [thesis citation] for consistency."
当论文与学位论文对同一概念使用不同符号时，需创建明确的映射：
概念论文学位论文统一格式
有效采样率
\min(C.ratio, 75/N)
\min(s_{\text{config}}, T/N)
\min(r_{\text{max}}, S/N)
规则： 选择一种格式（若学位论文已确立符号，优先使用）并保持一致。在论文中添加脚注：“为保持一致性，我们使用[学位论文引用]中的符号。”

1.5 Cross-Reference Audit

1.5 交叉引用审计

  • Every equation in paper has matching equation in thesis (or explicit note why different)
  • Algorithm pseudocode matches thesis Algorithm chapter
  • Complexity claims in paper abstract = complexity in thesis Chapter 3
  • Sampling ratio notation unified between paper and thesis
  • 论文中的每个公式在学位论文中都有对应公式（或明确说明差异原因）
  • 算法伪代码与学位论文的算法章节一致
  • 论文摘要中的复杂度声明 = 学位论文第3章的复杂度
  • 论文与学位论文的采样率符号统一

Step 2 — De-AI / De-translation Protocol

步骤2 — 去AI/去翻译痕迹规范

Q1 reviewers increasingly reject papers with AI-generated or machine-translated language. This step strips telltale signs.
Q1期刊审稿人越来越多地拒绝含有AI生成或机器翻译语言的论文。此步骤旨在去除这类明显痕迹。

2.1 AI Smell Detection (0-5 Score)

2.1 AI痕迹检测（0-5分）

Audit your paper for these AI-generated patterns:
SignalDescriptionExampleFix
Symmetrical structureAll bullets/paragraphs start with same word pattern"Enhance X...", "Enhance Y...", "Enhance Z..."Vary sentence openings
Abstract noun stackingChaining abstract nouns"utilization of optimization strategies""using optimization"
Generic intro/outroVague opening/closing"In today's rapidly evolving world..."Start with specific problem
Excessive hedgingToo many qualifiers"It could potentially be argued that..."State directly: "X shows..."
Repetitive paraphrasingSame idea restated differently"This is important. This matters. This is significant."State once, move on
Triple adjective stacking3+ adjectives before noun"novel comprehensive robust framework"Pick one: "robust framework"
Passive voice overuse>50% passive sentences"It was found that...""We found..."
Connector overusefurthermore, moreover, additionally every paragraph"Furthermore, ... Moreover, ..."Vary or restructure
Scoring:
0/5 — Natural human writing
1/5 — Minor AI痕迹, light edit needed
2/5 — Noticeable patterns, targeted fixes
3/5 — Multiple signals, significant revision
4/5 — Heavy AI smell, major rewrite
5/5 — Obviously AI-generated, total rewrite
Target: 0-1/5 for Q1 submission.
检查论文中是否存在以下AI生成模式：
信号描述示例修改方法
对称结构所有项目符号/段落以相同句式开头"Enhance X...", "Enhance Y...", "Enhance Z..."变换句子开头
抽象名词堆叠连续使用抽象名词"utilization of optimization strategies""using optimization"
通用引言/结论模糊的开头/结尾"In today's rapidly evolving world..."以具体问题开篇
过度模糊表述使用过多限定词"It could potentially be argued that..."直接陈述："X shows..."
重复 paraphrasing同一观点用不同方式重复表述"This is important. This matters. This is significant."陈述一次后继续推进
三重形容词堆叠名词前使用3个及以上形容词"novel comprehensive robust framework"选择一个："robust framework"
过度使用被动语态被动句占比>50%"It was found that...""We found..."
过度使用连接词每段都使用furthermore, moreover, additionally"Furthermore, ... Moreover, ..."变换或重构句子
评分标准：
0/5 — 自然的人工写作
1/5 — 轻微AI痕迹，需轻度编辑
2/5 — 存在明显模式，需针对性修改
3/5 — 存在多种信号，需大幅修订
4/5 — 严重AI痕迹，需重写大部分内容
5/5 — 明显为AI生成，需完全重写
目标：Q1投稿需达到0-1/5分。

2.2 Hype Words Blacklist

2.2 夸大词汇黑名单

BAN these words/phrases entirely:
BannedReplace with
delve intoexamine, investigate, explore
leverageuse, apply, employ
robustreliable, stable, consistent
cutting-edgecurrent, recent, state-of-the-art
novel(just delete — let the work speak)
groundbreaking(delete)
paradigmapproach, framework, method
landscapefield, domain, area
tapestry(delete)
meticulouscareful, thorough
furthermore(use "Additionally" or restructure sentence)
moreover(same)
in conclusion(delete — just end the section)
it is worth noting(delete — if worth noting, just state it)
comprehensivecomplete, full, extensive
innovative(delete or specify what's new)
significant improvementimprovement of X% (be specific)
state-of-the-artcurrent best, recent methods (cite them)
demonstratesshows, indicates, confirms
facilitatesenables, allows, supports
enhancesimproves, increases
utilizingusing
aforementioned(delete — restructure)
subsequentlythen, next, after
preliminaryinitial, early
完全禁用以下词汇/短语：
禁用词汇替代表达
delve intoexamine, investigate, explore
leverageuse, apply, employ
robustreliable, stable, consistent
cutting-edgecurrent, recent, state-of-the-art
novel(直接删除——让成果自己说话)
groundbreaking(删除)
paradigmapproach, framework, method
landscapefield, domain, area
tapestry(删除)
meticulouscareful, thorough
furthermore(使用"Additionally"或重构句子)
moreover(同上)
in conclusion(删除——直接结束章节)
it is worth noting(删除——若值得提及，直接陈述即可)
comprehensivecomplete, full, extensive
innovative(删除或具体说明创新点)
significant improvementimprovement of X%（需具体）
state-of-the-artcurrent best, recent methods（需引用）
demonstratesshows, indicates, confirms
facilitatesenables, allows, supports
enhancesimproves, increases
utilizingusing
aforementioned(删除——重构句子)
subsequentlythen, next, after
preliminaryinitial, early

2.2 Passive → Active Voice

2.3 被动语态转主动语态

Q1 journals prefer active voice. Scan for passive patterns:
Passive (bad):
The model was trained on the dataset.
Experiments were conducted to evaluate performance.
It was found that the method outperforms baselines.
Active (good):
We trained the model on the dataset.
We evaluated performance through experiments.
The method outperforms baselines.
Exception: Methods section can use passive for standard procedures ("The dataset was split into 80/20 train/test").
Q1期刊偏好主动语态。扫描被动语态模式：
被动语态（不佳）：
The model was trained on the dataset.
Experiments were conducted to evaluate performance.
It was found that the method outperforms baselines.
主动语态（良好）：
We trained the model on the dataset.
We evaluated performance through experiments.
The method outperforms baselines.
例外： 方法章节中针对标准流程可使用被动语态（例如"The dataset was split into 80/20 train/test"）。

2.4 Quantify Hype with Experimental Data

2.4 用实验数据量化夸大表述

Rule: When encountering hype words, replace with specific numbers from your results.
Hype phraseBad (vague)Good (data-driven)
"extremely fast""The method is extremely fast""The method converges in 43 rounds vs. 67 for FedAvg (35.8% reduction)"
"significantly better""Our method performs significantly better""Our method achieves 94.3% accuracy, outperforming the best baseline by 2.2 percentage points (p < 0.001)"
"absolutely robust""The approach is absolutely robust to noise""Accuracy degrades by only 0.8% when noise increases from 0% to 30%"
"vastly superior""Our framework is vastly superior""Our framework reduces communication cost by 35% while maintaining comparable accuracy"
"extremely efficient""The algorithm is extremely efficient""The algorithm runs in O(N log N) time, 2.3× faster than the O(N²) baseline"
Workflow:
  1. Search document for: extremely, vastly, absolutely, incredibly, remarkably, substantially, considerably
  2. For each hit, locate the corresponding result in your experiments
  3. Replace with: metric + value + comparison/baseline
规则： 遇到夸大词汇时，替换为结果中的具体数据。
夸大表述不佳（模糊）良好（数据驱动）
"extremely fast""The method is extremely fast""The method converges in 43 rounds vs. 67 for FedAvg (35.8% reduction)"
"significantly better""Our method performs significantly better""Our method achieves 94.3% accuracy, outperforming the best baseline by 2.2 percentage points (p < 0.001)"
"absolutely robust""The approach is absolutely robust to noise""Accuracy degrades by only 0.8% when noise increases from 0% to 30%"
"vastly superior""Our framework is vastly superior""Our framework reduces communication cost by 35% while maintaining comparable accuracy"
"extremely efficient""The algorithm is extremely efficient""The algorithm runs in O(N log N) time, 2.3× faster than the O(N²) baseline"
流程：
  1. 在文档中搜索：extremely, vastly, absolutely, incredibly, remarkably, substantially, considerably
  2. 针对每个匹配项，找到实验中对应的结果
  3. 替换为：指标 + 数值 + 对比/基线

2.5 De-translation Patterns

2.5 去翻译痕迹模式

If paper was translated from Vietnamese:
Vietnamese structureEnglish fix
"The method has the ability to...""The method can..."
"In order to...""To..."
"Due to the fact that...""Because..."
"At the present time""Currently" / "Now"
"In the event that""If"
"Despite the fact that""Although" / "Despite"
"On a daily basis""Daily"
"Has the potential to""Can" / "May"
若论文由越南语翻译为英文，需修正以下常见翻译痕迹：
越南语式英文结构标准英文修正
"The method has the ability to...""The method can..."
"In order to...""To..."
"Due to the fact that...""Because..."
"At the present time""Currently" / "Now"
"In the event that""If"
"Despite the fact that""Although" / "Despite"
"On a daily basis""Daily"
"Has the potential to""Can" / "May"

2.6 Sentence Length Audit

2.6 句子长度审计

  • Target: 15-25 words per sentence
  • Hard max: 35 words (split if longer)
  • Check: any paragraph with 3+ consecutive sentences > 25 words → rewrite
  • 目标：每句15-25词
  • 上限：35词（超过则拆分）
  • 检查：若某段落存在3句及以上连续超过25词的句子 → 重写

Step 3 — Q1 Results Table Standard

步骤3 — Q1期刊结果表格标准

Q1 journals expect rigorous experimental reporting. This is the #1 rejection reason for ML/AI papers.
Q1期刊要求严谨的实验报告。这是ML/AI论文被拒的首要原因。

3.1 Mandatory Columns

3.1 必填列

ColumnRequiredNotes
Method✅Full name + citation
Metric(s)✅Primary metric bolded
Mean✅Arithmetic mean
Std Dev✅MANDATORY for ablation studies
# Seeds✅Minimum 3, recommend 5
p-value⚠️Required if claiming "significant improvement"
列名是否必填说明
方法✅全称 + 引用
指标✅主要指标加粗
均值✅算术平均值
标准差✅消融研究必填
种子数✅最少3个，推荐5个
p值⚠️若声称“显著提升”则必填

3.2 Ablation Study Format

3.2 消融研究格式

⚠️ CRITICAL: Every cell in an ablation table must include mean ± standard deviation. No exceptions.
WRONG (rejection risk):
| Method    | Accuracy |
|-----------|----------|
| Baseline  | 85.2     |
| + Module A| 87.1     |
| + Module B| 88.3     |
RIGHT (Q1 standard):
| Method     | Accuracy       | # Seeds | p-value  |
|------------|----------------|---------|----------|
| Baseline   | 85.2 ± 0.3     | 5       | —        |
| + Module A | 87.1 ± 0.4     | 5       | 0.002*   |
| + Module B | 88.3 ± 0.2     | 5       | <0.001*  |

* Statistically significant (paired t-test, α=0.05)
Rule: If a result cell shows only a single number (e.g., 
85.2
), it is incomplete. Every value must be 
mean ± std
format.
⚠️ 关键要求： 消融表格中的每个单元格必须包含均值±标准差。无例外。
错误示例（存在被拒风险）：
| Method    | Accuracy |
|-----------|----------|
| Baseline  | 85.2     |
| + Module A| 87.1     |
| + Module B| 88.3     |
正确示例（Q1标准）：
| Method     | Accuracy       | # Seeds | p-value  |
|------------|----------------|---------|----------|
| Baseline   | 85.2 ± 0.3     | 5       | —        |
| + Module A | 87.1 ± 0.4     | 5       | 0.002*   |
| + Module B | 88.3 ± 0.2     | 5       | <0.001*  |

* Statistically significant (paired t-test, α=0.05)
规则： 若结果单元格仅显示单个数值（例如
85.2
），则表格不完整。所有数值必须采用
均值 ± 标准差
格式。

3.3 Seed Count Justification

3.3 种子数说明

Include in experimental setup:
We report mean ± standard deviation over N independent runs with
different random seeds. We use [5/10/30] seeds to ensure reliable
statistical inference and reproducibility of our results.
Seed count guidelines:
DomainMinimum SeedsJustification
Deep Learning (deterministic)3-5Low variance, GPU determinism
Deep Learning (stochastic)5-10Moderate variance
Federated Learning5-10Client sampling variance
Metaheuristic / Evolutionary30Central Limit Theorem (n ≥ 30 for normality)
Reinforcement Learning10-30High variance, environment stochasticity
Why CLT matters for n ≥ 30:
  • Sampling distribution of mean approximates normality regardless of population distribution
  • Enables parametric tests (t-test, ANOVA) even for non-normal results
  • Standard expectation in empirical research methodology
Template:
We report mean ± standard deviation over [N] independent runs
(seed ∈ {42, 123, 456, ...}). [N] seeds ensure [reliable statistical
inference / CLT normality / reproducibility] per standard empirical
methodology.
在实验设置部分添加以下内容：
We report mean ± standard deviation over N independent runs with
different random seeds. We use [5/10/30] seeds to ensure reliable
statistical inference and reproducibility of our results.
种子数指南：
领域最少种子数说明
深度学习（确定性）3-5低方差，GPU确定性
深度学习（随机性）5-10中等方差
联邦学习5-10客户端采样方差
元启发式/进化算法30中心极限定理（n≥30时近似正态分布）
强化学习10-30高方差，环境随机性
为何n≥30时中心极限定理重要：
  • 均值的抽样分布近似正态分布，与总体分布无关
  • 即使结果非正态，也能使用参数检验（t检验、方差分析）
  • 实证研究方法论中的标准要求
模板：
We report mean ± standard deviation over [N] independent runs
(seed ∈ {42, 123, 456, ...}). [N] seeds ensure [reliable statistical
inference / CLT normality / reproducibility] per standard empirical
methodology.

3.4 Statistical Tests

3.4 统计检验

ClaimRequired Test
"outperforms" / "better than"Paired t-test or Wilcoxon signed-rank
"comparable" / "similar"Equivalence test or confidence interval overlap
"robust to hyperparameter"Sensitivity analysis table
声明所需检验方法
"优于" / "比……更好"配对t检验或Wilcoxon符号秩检验
"相当" / "相似"等效性检验或置信区间重叠分析
"对超参数鲁棒"敏感性分析表

3.5 Results Table Checklist

3.5 结果表格检查清单

  • All cells in ablation study show 
    mean ± std
    (not just main results table)
  • Seed count stated for each experiment (minimum 30 for metaheuristics per Đurasević & Jakobović [2023])
  • Statistical significance marked with asterisk + footnote
  • Best result bolded, second-best underlined
  • Baseline results from original paper cited, not re-implemented (unless stated)
  • Hardware spec mentioned (GPU type, RAM) for reproducibility
  • Runtime/latency comparison if claiming efficiency
  • 所有单元格（不仅是主结果表）的消融研究均采用
    均值 ± 标准差
    格式
  • 每个实验均说明种子数（元启发式算法需至少30个，参考Đurasević & Jakobović [2023]）
  • 统计显著性用星号标注并添加脚注
  • 最佳结果加粗，次佳结果下划线标注
  • 基线结果引用原论文，而非重新实现（除非明确说明）
  • 提及硬件规格（GPU型号、内存）以保证可复现性
  • 若声称高效性，需包含运行时间/延迟对比

Final Polish Checklist

最终润色检查清单

From 
internal-critique

来自
internal-critique

  • Self-review using internal-critique checklist
  • Address all "fatal flaw" items before submission
  • 使用internal-critique清单进行自我审查
  • 投稿前解决所有“致命缺陷”项

From 
technical-english-cs

来自
technical-english-cs

  • Diction matches IEEE/ACM standards
  • No Vietnamese-English translation artifacts
  • 措辞符合IEEE/ACM标准
  • 无越英翻译痕迹

From 
paper-writing

来自
paper-writing

  • Section structure follows target venue template
  • Abstract within word limit
  • References formatted correctly
  • 章节结构遵循目标期刊模板
  • 摘要符合字数限制
  • 参考文献格式正确

From 
publication-strategy

来自
publication-strategy

  • Selected venue matches paper scope
  • Checked recent acceptance rate
  • Reviewed 2-3 recent papers from target venue for style
  • 所选期刊与论文范围匹配
  • 查看过近期录用率
  • 参考过目标期刊的2-3篇近期论文以匹配风格

Integration Flow

整合流程

paper-writing (draft complete)
    ↓
journal-q1-polish (this skill)
    ├── Step 1: notation-sync
    ├── Step 2: de-ai-protocol
    └── Step 3: q1-results-standard
    ↓
internal-critique (final review)
    ↓
publication-strategy (venue selection + submission)
paper-writing (draft complete)
    ↓
journal-q1-polish (this skill)
    ├── Step 1: notation-sync
    ├── Step 2: de-ai-protocol
    └── Step 3: q1-results-standard
    ↓
internal-critique (final review)
    ↓
publication-strategy (venue selection + submission)