Difference between revisions of "Course:学术论文写作"

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===报告顺序：===
===报告顺序：===
* Session 1: Network and system (Chair: 王子琛)
* '''Session 1''': Network and system (Chair: 王子琛)
# 王子琛, Face Recognition In Harsh Conditions: An Acoustic Based Approach, ACM MobiSys 2024.
# 王子琛, Face Recognition In Harsh Conditions: An Acoustic Based Approach, ACM MobiSys 2024.
# 张宇全, iStack: A General and Stateful Name-based Protocol Stack for Named Data Networking, USENIX NSDI, 2024.
# 张宇全, iStack: A General and Stateful Name-based Protocol Stack for Named Data Networking, USENIX NSDI, 2024.
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# 龚晓路, EVLeSen: In-Vehicle Sensing with EV-Leaked Signal, ACM MobiCom 2024.
# 龚晓路, EVLeSen: In-Vehicle Sensing with EV-Leaked Signal, ACM MobiCom 2024.


* Session 2: Security and privacy (Chair: 喻宣然)
* '''Session 2''': Security and privacy (Chair: 喻宣然)
# 喻宣然, Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction, USENIX Security 2024.
# 喻宣然, Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction, USENIX Security 2024.
# 韩文昊, Off-Path TCP Sequence Number Inference Attack, IEEE S&P, 2012.
# 韩文昊, Off-Path TCP Sequence Number Inference Attack, IEEE S&P, 2012.
# 刘铮杨, Topology-aware Differential Privacy for Decentralized Image Classification，IEEE TNNLS，2022.
# 刘铮杨, Topology-aware Differential Privacy for Decentralized Image Classification，IEEE TNNLS，2022.


* Session 3: Machine learning and apps (Chair: 孙权恩)
* '''Session 3''': Machine learning and apps (Chair: 孙权恩)
# 孙权恩, Task Representations in Neural Networks Trained to Perform Many Cognitive Tasks. Nature neuroscience, 2019.
# 孙权恩, Task Representations in Neural Networks Trained to Perform Many Cognitive Tasks. Nature neuroscience, 2019.
# 黄城瑞, ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs, ICLR spotlight, 2024.
# 黄城瑞, ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs, ICLR spotlight, 2024.
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# 郑洋, Score-guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems, ICML, 2022.
# 郑洋, Score-guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems, ICML, 2022.


* Session 4: Computer vision (Chair: 李海龙)
* '''Session 4''': Computer vision (Chair: 李海龙)
# 李海龙, 3D Gaussian Splatting for Real-Time Radiance Field Rendering, ACM SIGGRAPH 2023.
# 李海龙, 3D Gaussian Splatting for Real-Time Radiance Field Rendering, ACM SIGGRAPH 2023.
# 王焜尧,  End-to-end Object Detection with Transformers. ECCV, 2020.
# 王焜尧,  End-to-end Object Detection with Transformers. ECCV, 2020.
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# 王懿, Post-Training Quantization for Vison Transformer. NeurIPS 2021.
# 王懿, Post-Training Quantization for Vison Transformer. NeurIPS 2021.


* Session 5: Theoretic computing (Chair: 曹郅杰)
* '''Session 5''': Theoretic computing (Chair: 曹郅杰)
# 曹郅杰, H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem，AAAI, 2023
# 曹郅杰, H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem，AAAI, 2023
# 韩慧麟, Efficient Secure Multiparty Computation of The Maximum and The Minimum，Advanced Engineering Sciences, 2023.
# 韩慧麟, Efficient Secure Multiparty Computation of The Maximum and The Minimum，Advanced Engineering Sciences, 2023.


* Session 6: Trending and Interesting (Chair: 陈云辉)
* '''Session 6''': Trending and Interesting (Chair: 陈云辉)
# 陈云辉, Asynchronous Entanglement Provisioning and Routing for Distributed Quantum Computing, IEEE INFOCOM, 2023.
# 陈云辉, Asynchronous Entanglement Provisioning and Routing for Distributed Quantum Computing, IEEE INFOCOM, 2023.
# 李其睿, 从“网红”到“长红”：旅游公共服务吸引力与供给次序——基于抖音“淄博烧烤”话题的用户评论分析，消费经济，2024.
# 李其睿, 从“网红”到“长红”：旅游公共服务吸引力与供给次序——基于抖音“淄博烧烤”话题的用户评论分析，消费经济，2024.

Revision as of 10:00, 22 October 2024

关于本课

总的来讲，这是一门介绍科研，科研入门，及学术 课程主要内容涉及学术创新、学术规范与论文写作。 其中学术创新部分，重点针对本科生群体介绍何谓创新、科研工作的特点、读研相关内容、学术论文的写作技巧与规范。

Aw cover.png

课程目录如下：

  1. 认识学术及科研入门
    • 学术研究概述及一般过程
    • 学术规范的意义
    • 研究者与非研究者
    • 读不读研？
    • 如何选择导师？
    • 如何选择研究领域？
    • 如何收集相关材料并阅读？
    • 如何进行科研选题？
  2. 科技论文谋划、构成与表达技巧
    • 如何谋划和开始一篇科技论文？
    • 科技论文构成与规范表达？
    • 科技论文插图与表格规范设计？
    • 科技论文式子的规范？
    • 如何写毕业设计论文？
  3. 学术规范指南
    • 如何进行学术署名？
    • 什么叫编、著与编著？
    • 科技论文引文规范是什么？
    • 科技论文语言规范

课程要求(2024)

最终成绩 = 40%课程论文+30%平时成绩（含英文部分）+30%口头报告

报告安排

  • 每个Session由Session chair花2分钟总结Session中的大致情况，包含几篇文章，做什么方面的，会议/期刊情况等。
  • 每位同学汇报5-6分钟
  • 问答环节1-2分钟
  • 说明：
  1. 一次提问加2分口头报告分数（即总分0.6分），每人最多加3次
  2. 报告内容以问题为主，切忌太快跳入细节
  3. 注意运用课堂内容，评价选题、评价论点、解析文章的骨架（1-3-9）

报告顺序：

  • Session 1: Network and system (Chair: 王子琛)
  1. 王子琛, Face Recognition In Harsh Conditions: An Acoustic Based Approach, ACM MobiSys 2024.
  2. 张宇全, iStack: A General and Stateful Name-based Protocol Stack for Named Data Networking, USENIX NSDI, 2024.
  3. 李放波, DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics, ACM/IEEE ISCA 2024.
  4. 龚晓路, EVLeSen: In-Vehicle Sensing with EV-Leaked Signal, ACM MobiCom 2024.
  • Session 2: Security and privacy (Chair: 喻宣然)
  1. 喻宣然, Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction, USENIX Security 2024.
  2. 韩文昊, Off-Path TCP Sequence Number Inference Attack, IEEE S&P, 2012.
  3. 刘铮杨, Topology-aware Differential Privacy for Decentralized Image Classification，IEEE TNNLS，2022.
  • Session 3: Machine learning and apps (Chair: 孙权恩)
  1. 孙权恩, Task Representations in Neural Networks Trained to Perform Many Cognitive Tasks. Nature neuroscience, 2019.
  2. 黄城瑞, ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs, ICLR spotlight, 2024.
  3. 徐晗洋, Class-Specific Semantic Reconstruction for Open Set Recognition, IEEE TPAMI, 2023.
  4. 郑洋, Score-guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems, ICML, 2022.
  • Session 4: Computer vision (Chair: 李海龙)
  1. 李海龙, 3D Gaussian Splatting for Real-Time Radiance Field Rendering, ACM SIGGRAPH 2023.
  2. 王焜尧, End-to-end Object Detection with Transformers. ECCV, 2020.
  3. 林雅萍, CosFace: Large Margin Cosine Loss for Deep Face Recognition，IEEE CVPR, 2018.
  4. 张周睿, Domain Adaptation for Image Dehazing, CVPR, 2020.
  5. 王懿, Post-Training Quantization for Vison Transformer. NeurIPS 2021.
  • Session 5: Theoretic computing (Chair: 曹郅杰)
  1. 曹郅杰, H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem，AAAI, 2023
  2. 韩慧麟, Efficient Secure Multiparty Computation of The Maximum and The Minimum，Advanced Engineering Sciences, 2023.
  • Session 6: Trending and Interesting (Chair: 陈云辉)
  1. 陈云辉, Asynchronous Entanglement Provisioning and Routing for Distributed Quantum Computing, IEEE INFOCOM, 2023.
  2. 李其睿, 从“网红”到“长红”：旅游公共服务吸引力与供给次序——基于抖音“淄博烧烤”话题的用户评论分析，消费经济，2024.


课程要求(2023)

最终成绩 = 40%课程论文+30%平时成绩（含英文部分）+30%口头报告

  • 平时成绩：包含3-4次随堂测验，其中3次最好成绩的平均值计为平时成绩。
  • 口头报告：小组分享，互评
  • 学术论文的要求：
    • 字数≥1000
    • 格式要求：
      • 题目
      • 作者排名
      • 论文亮点和不足（各列举不少于3条）
      • 摘要（本篇评论的摘要）
      • 简介/引言
      • 研究现状与难点分析
      • 研究思路及评价
      • 具体方案及评价
      • 实验及实验中最具说服力的部分分析
      • 结论及问题展望
    • 自行选择论文进行评论
  • 说明
    • 如果被发现超过3次缺课，则成绩为0.
    • 如果发现任何形式抄袭，成绩为0.
    • 提交日期2023.10.12 - 2023.10.27

往届题目参考

  • 基于哈希学习的快速法律条文推荐模型
  • 异类传感器的分布式检测和数据融合
  • 王者荣耀中的分层强化学习
  • 探究粉丝言论对消费者行为的影响——以《哪吒》为例
  • 加沙医院的预约系统改进方案
  • 关于防丢贴纸的改进与大规模商用的研究
  • 基于深度学习的微小曲面文本检测与识别
  • 电子科大低成本快递配送方案
  • 基于MATLAB的地形扫描车信息显示系统

相关资料

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