Difference between revisions of "Course:学术论文写作"
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==关于本课== | ==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。 | 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。 | 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。 | ||
[[File:aw_cover.png|thumb]] | |||
课程目录如下: | 课程目录如下: | ||
# | # 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? | #*如何选择导师? | ||
#*如何选择研究领域? | #*如何选择研究领域? | ||
#*如何收集相关材料并阅读? | #*如何收集相关材料并阅读? | ||
#*如何进行科研选题? | #*如何进行科研选题? | ||
# | #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? | #*如何谋划和开始一篇科技论文? | ||
#*科技论文构成与规范表达? | #*科技论文构成与规范表达? | ||
Line 15: | Line 20: | ||
#*科技论文式子的规范? | #*科技论文式子的规范? | ||
#*如何写毕业设计论文? | #*如何写毕业设计论文? | ||
# | #学术规范指南 | ||
#*如何进行学术署名? | #*如何进行学术署名? | ||
#*什么叫编、著与编著? | #*什么叫编、著与编著? | ||
Line 21: | Line 26: | ||
#*科技论文语言规范 | #*科技论文语言规范 | ||
==课程要求== | ==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: | |||
# 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(Chair默认加两次提问分) | |||
# 报告内容以问题为主,切忌太快跳入细节 | |||
# 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: Mobile computing (16:20 - 16:50, Chair: 喻宣然)''' | |||
# 徐铮, FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices, ACM MobiCom, 2024. | |||
# 喻宣然, Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction, USENIX Security 2024. | |||
# 王子琛, Face Recognition In Harsh Conditions: An Acoustic Based Approach, ACM MobiSys 2024. | |||
# 龚晓路, EVLeSen: In-Vehicle Sensing with EV-Leaked Signal, ACM MobiCom 2024. | |||
* '''Session 2: Computer vision (1) (16:50 - 17:20, Chair: 张周睿)''' | |||
# 张周睿, Domain Adaptation for Image Dehazing, CVPR, 2020. | |||
# 王懿, Post-Training Quantization for Vison Transformer. NeurIPS 2021. | |||
# 王昕妮, A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement, IEEE Transactions on Cybernetics, 2017. | |||
# 王焜尧, End-to-end Object Detection with Transformers. ECCV, 2020. | |||
* '''Session 3: Interesting and Trending (17:20 - 17:50, Chair: 陈云辉)''' | |||
# 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. | |||
# 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. | |||
* '''Session 4: Network systems (19:00 - 19:30, Chair: 李放波)''' | |||
# 李放波, DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics, ACM/IEEE ISCA 2024. | |||
# 张宇全, iStack: A General and Stateful Name-based Protocol Stack for Named Data Networking, USENIX NSDI, 2024. | |||
# 王建基, Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud,ACM SIGCOMM, 2024. | |||
# 黄昌吉, FarfetchFusion: Towards Fully Mobile Live 3D Telepresence Platform, ACM MobiCom, 2024. | |||
* '''Session 5: CV(2) and Machine learning (19:30 - 20:00, Chair: 李海龙)''' | |||
# 郑洋, Score-guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems, ICML, 2022. | |||
# 徐晗洋, Class-Specific Semantic Reconstruction for Open Set Recognition, IEEE TPAMI, 2023. | |||
# 林雅萍, CosFace: Large Margin Cosine Loss for Deep Face Recognition,IEEE CVPR, 2018. | |||
# 李海龙, 3D Gaussian Splatting for Real-Time Radiance Field Rendering, ACM SIGGRAPH 2023. | |||
* '''Session 6: Security and Efficiency (20:00 - 20:35, Chair: 曹郅杰)''' | |||
# 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. | |||
# 韩慧麟, Efficient Secure Multiparty Computation of The Maximum and The Minimum,Advanced Engineering Sciences, 2023. | |||
# 曹郅杰, H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem,AAAI, 2023. | |||
# 徐灏阳, Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts, KDD, 2018. | |||
==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== | |||
* 课程PPT将会在课程群中发送 | |||
* [https://mns.uestc.cn/workshops/acst24/ 征文通知] | |||
* [https://mobinets.cn/course/AcademicWriting/texTemplate.zip 论文TeX模板] | |||
* [https://mobinets.cn/course/AcademicWriting/wordTemplate.doc 论文Word模板] |
Latest revision as of 19:18, 25 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。
课程目录如下:
- 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?
- 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?
- 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:
- 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(Chair默认加两次提问分)
- 报告内容以问题为主,切忌太快跳入细节
- 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: Mobile computing (16:20 - 16:50, Chair: 喻宣然)
- 徐铮, FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices, ACM MobiCom, 2024.
- 喻宣然, Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction, USENIX Security 2024.
- 王子琛, Face Recognition In Harsh Conditions: An Acoustic Based Approach, ACM MobiSys 2024.
- 龚晓路, EVLeSen: In-Vehicle Sensing with EV-Leaked Signal, ACM MobiCom 2024.
- Session 2: Computer vision (1) (16:50 - 17:20, Chair: 张周睿)
- 张周睿, Domain Adaptation for Image Dehazing, CVPR, 2020.
- 王懿, Post-Training Quantization for Vison Transformer. NeurIPS 2021.
- 王昕妮, A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement, IEEE Transactions on Cybernetics, 2017.
- 王焜尧, End-to-end Object Detection with Transformers. ECCV, 2020.
- Session 3: Interesting and Trending (17:20 - 17:50, Chair: 陈云辉)
- 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.
- 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.
- Session 4: Network systems (19:00 - 19:30, Chair: 李放波)
- 李放波, DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics, ACM/IEEE ISCA 2024.
- 张宇全, iStack: A General and Stateful Name-based Protocol Stack for Named Data Networking, USENIX NSDI, 2024.
- 王建基, Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud,ACM SIGCOMM, 2024.
- 黄昌吉, FarfetchFusion: Towards Fully Mobile Live 3D Telepresence Platform, ACM MobiCom, 2024.
- Session 5: CV(2) and Machine learning (19:30 - 20:00, Chair: 李海龙)
- 郑洋, Score-guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems, ICML, 2022.
- 徐晗洋, Class-Specific Semantic Reconstruction for Open Set Recognition, IEEE TPAMI, 2023.
- 林雅萍, CosFace: Large Margin Cosine Loss for Deep Face Recognition,IEEE CVPR, 2018.
- 李海龙, 3D Gaussian Splatting for Real-Time Radiance Field Rendering, ACM SIGGRAPH 2023.
- Session 6: Security and Efficiency (20:00 - 20:35, Chair: 曹郅杰)
- 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.
- 韩慧麟, Efficient Secure Multiparty Computation of The Maximum and The Minimum,Advanced Engineering Sciences, 2023.
- 曹郅杰, H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem,AAAI, 2023.
- 徐灏阳, Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts, KDD, 2018.
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