Difference between revisions of "Course:AW"

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==关于本课==
==专业写作基础课程==
总的来讲，这是一门介绍科研，科研入门，及学术
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。
Line 26: Line 26:
#*科技论文语言规范
#*科技论文语言规范


==课程要求（2025）==
最终成绩 = 40%课程论文+30%平时成绩（含英文部分）+30%口头报告
===课程论文===
====相关资料====
* 课程PPT将会在课程群中发送
* [https://mns.uestc.cn/workshops/acst25/ 征文通知]
====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
===口头报告===
====要求及说明====
* 每位同学汇报<5分钟，讲清楚问题和挑战为主，严格控制时间（参考[https://webvpn.uestc.edu.cn/https/77726476706e69737468656265737421fdf952d232357b447d468aa2/course/AcademicWriting/examples/ex0_fast_reading.pdf 案例1：快读]和[https://webvpn.uestc.edu.cn/https/77726476706e69737468656265737421fdf952d232357b447d468aa2/course/AcademicWriting/examples/ex1_recaptcha.pdf 案例2：Recaptcha]）
* 问答环节<1个问题
* 说明：
# 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）
* 选择论文参考列表：[[Resource:Reading_List]]
====报告顺序：====
'''Day 1: Apr. 10, 2025.'''
----
* '''''Session 1: Mobile Computing'''''
# 付文亮，MobiSys 2024，[https://dl.acm.org/doi/abs/10.1145/3643832.3661894 ARISE: High-Capacity AR Offloading Inference Serving via Proactive Scheduling]
# 林鑫，MobiSys 2024，[https://dl.acm.org/doi/abs/10.1145/3643832.3661855 Face Recognition In Harsh Conditions: An Acoustic Based Approach]
# 王鹤潭，MobiCom 2023，[https://dl.acm.org/doi/abs/10.1145/3570361.3592532 Towards Flying Without Seeing For Autonomous Drones]
# 杨益，INFOCOM 2024，[https://ieeexplore.ieee.org/abstract/document/10621152/ Edge-Assisted Camera Selection in Vehicular Networks]
* '''''Session 2: Network systems'''''
# 郭卓帆，INFOCOM 2024，[https://ieeexplore.ieee.org/abstract/document/10621134/ AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks]
# 郑棹恒，NSDI 2024，[https://www.usenix.org/conference/nsdi24/presentation/hu Characterization of Large Language Model Development in the Datacenter]
# 徐甄焱，SIGCOMM 2024，[https://dl.acm.org/doi/abs/10.1145/3651890.3672268 NetLLM：Adapting Large Language Models for Networking]
# 傅若山，SIGCOMM 2024，[https://dl.acm.org/doi/abs/10.1145/3651890.3672249 Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem]
* '''''Session 3: Machine Learning'''''
# 孙珂，ACL 2024，[https://arxiv.org/abs/2406.02030 Multimodal Reasoning with Multimodal Knowledge Graph]
# 王哲，ICML 2022，[https://proceedings.mlr.press/v162/paulus22a Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning]
# 胡维军，CVPR 2024，[http://openaccess.thecvf.com/content/CVPR2024/html/Jia_Generative_Latent_Coding_for_Ultra-Low_Bitrate_Image_Compression_CVPR_2024_paper.html Generative Latent Coding for Ultra-Low Bitrate Image Compression]
# 李星彤，KDD 2023，[https://dl.acm.org/doi/abs/10.1145/3580305.3599831 Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning]
* '''''Session 4: Modeling theory and algorithms'''''
# 王一宁，Applied Intelligence 2020，[https://link.springer.com/article/10.1007/s10489-020-02072-w A hybrid ant colony system algorithm for solving the ring star problem]
# 许平登峰，ICMA 2022，[https://ieeexplore.ieee.org/abstract/document/9856100/ Social Distance Measuring Based on Monocular Vision]
# 刘书奇，NeurIPS 2022，[https://arxiv.org/abs/2008.08844 Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks]
# 顾瀚杰，NeuralIPS 2023，[https://proceedings.neurips.cc/paper_files/paper/2023/hash/271db9922b8d1f4dd7aaef84ed5ac703-Abstract-Conference.html Tree of Thoughts: Deliberate Problem Solving with Large Language Models]
<br>
'''Day 2: Apr. 17, 2025.'''
----
* '''''Session 5: Security'''''
# 刘文豪，S&P 2023，[https://ieeexplore.ieee.org/abstract/document/10228892/ CoChain: High Concurrency Blockchain Sharding via Consensus on Consensus]
# 朱钰立，TMC 2024，[https://ieeexplore.ieee.org/abstract/document/10432986/ Secret Key Generation Based on Manipulated Channel Measurement Matching]
# 徐睿航，SigComm 2023，[https://dl.acm.org/doi/10.1145/3603269.3604874 NeoBFT: Accelerating Byzantine Fault Tolerance Using Authenticated In-Network Ordering]
# 苏徐涛，Advances in Neural Information Processing Systems 2023，[https://proceedings.neurips.cc/paper_files/paper/2023/hash/0207c9ea9faf66c6e892c3fa3c167b75-Abstract-Conference.html Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training]
* '''Session 6: Privacy'''
# 周锦涛，SIGCOMM 2024，[https://dl.acm.org/doi/abs/10.1145/3651890.3672217 ConfMask: Enabling Privacy-Preserving Configuration Sharing via Anonymization]
# 吴心淇，WWW 2024，[https://dl.acm.org/doi/abs/10.1145/3589334.3645386 SPRING: improving the throughput of sharding blockchain via deep reinforcement learning]
# 刘梦颖，计算机学报 2023，[https://dl.ccf.org.cn/article/articleDetail.html?type=qkwz&_ack=1&id=6375068666660864 一种基于本地化差分隐私的网格聚类方法]
# 杨若菡，计算机学报 2025，[https://www.cnki.com.cn/Article/CJFDTotal-JSJX20250321005.htm 面向隐私保护的用户评论基准数据集构建与大模型推理能力评估]
* '''Session 7: Interesting topics'''
# 农烨，AAAI 2023，[https://ojs.aaai.org/index.php/AAAI/article/view/25556 PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction]
# 鲜沛宏，INFOCOM 2024，[https://ieeexplore.ieee.org/abstract/document/10621209/ A De-anonymization Attack Against Downloaders in Freenet]
# 徐楠钧，CV-arXiv 2024，[https://arxiv.org/abs/2406.08801 Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation]
# 刘睿哲，INFOCOM 2024，[https://ieeexplore.ieee.org/abstract/document/10621148/ VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras]
<!--
==课程要求(2024)==
==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
最终成绩 = 40%课程论文+30%平时成绩（含英文部分）+30%口头报告
Line 39: Line 116:


===报告顺序：===
===报告顺序：===
* '''Session 1''': Network and system (Chair: 王子琛)
* '''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.
# 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.
# 李放波, DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics, ACM/IEEE ISCA 2024.
# 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: Computer vision (1) (16:50 - 17:20, Chair: 张周睿)'''
# 喻宣然, Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction, USENIX Security 2024.
# 张周睿, Domain Adaptation for Image Dehazing, CVPR, 2020.
# 韩文昊, Off-Path TCP Sequence Number Inference Attack, IEEE S&P, 2012.
# 王懿, Post-Training Quantization for Vison Transformer. NeurIPS 2021.
# 刘铮杨, Topology-aware Differential Privacy for Decentralized Image Classification，IEEE TNNLS，2022.
# 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''': Machine learning and apps (Chair: 孙权恩)
* '''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.
# 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.
* '''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.
# 徐晗洋, Class-Specific Semantic Reconstruction for Open Set Recognition, IEEE TPAMI, 2023.
# 郑洋, Score-guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems, ICML, 2022.
# 林雅萍, CosFace: Large Margin Cosine Loss for Deep Face Recognition，IEEE CVPR, 2018.
 
* '''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.
# 林雅萍, CosFace: Large Margin Cosine Loss for Deep Face Recognition，IEEE CVPR, 2018.
# 张周睿, Domain Adaptation for Image Dehazing, CVPR, 2020.
# 王懿, Post-Training Quantization for Vison Transformer. NeurIPS 2021.


* '''Session 5''': Theoretic computing (Chair: 曹郅杰)
* '''Session 6: Security and Efficiency (20:00 - 20:35, Chair: 曹郅杰)'''
# 曹郅杰, H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem，AAAI, 2023
# 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.
# 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.
* '''Session 6''': Trending and Interesting (Chair: 陈云辉)
# 徐灏阳, Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts, KDD, 2018.
# 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.




Line 91: Line 173:
***结论及问题展望
***结论及问题展望
**自行选择论文进行评论
**自行选择论文进行评论
-->


*说明
===说明===
**如果被发现超过3次缺课，则成绩为0.
*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.
*如果发现任何形式抄袭，成绩为0.
**提交日期2023.10.12 - 2023.10.27
*论文提交日期2025.04.23 - 2025.04.30
 
{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}
==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]

Revision as of 11:34, 17 April 2025

专业写作基础课程

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（2025）

最终成绩 = 40%课程论文+30%平时成绩（含英文部分）+30%口头报告

课程论文

相关资料

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

口头报告

要求及说明

  1. 报告内容以问题为主，切忌太快跳入细节
  2. 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：

Day 1: Apr. 10, 2025.

  • Session 1: Mobile Computing
  1. 付文亮，MobiSys 2024，ARISE: High-Capacity AR Offloading Inference Serving via Proactive Scheduling
  2. 林鑫，MobiSys 2024，Face Recognition In Harsh Conditions: An Acoustic Based Approach
  3. 王鹤潭，MobiCom 2023，Towards Flying Without Seeing For Autonomous Drones
  4. 杨益，INFOCOM 2024，Edge-Assisted Camera Selection in Vehicular Networks
  • Session 2: Network systems
  1. 郭卓帆，INFOCOM 2024，AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks
  2. 郑棹恒，NSDI 2024，Characterization of Large Language Model Development in the Datacenter
  3. 徐甄焱，SIGCOMM 2024，NetLLM：Adapting Large Language Models for Networking
  4. 傅若山，SIGCOMM 2024，Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem
  • Session 3: Machine Learning
  1. 孙珂，ACL 2024，Multimodal Reasoning with Multimodal Knowledge Graph
  2. 王哲，ICML 2022，Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning
  3. 胡维军，CVPR 2024，Generative Latent Coding for Ultra-Low Bitrate Image Compression
  4. 李星彤，KDD 2023，Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
  • Session 4: Modeling theory and algorithms
  1. 王一宁，Applied Intelligence 2020，A hybrid ant colony system algorithm for solving the ring star problem
  2. 许平登峰，ICMA 2022，Social Distance Measuring Based on Monocular Vision
  3. 刘书奇，NeurIPS 2022，Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
  4. 顾瀚杰，NeuralIPS 2023，Tree of Thoughts: Deliberate Problem Solving with Large Language Models


Day 2: Apr. 17, 2025.

  • Session 5: Security
  1. 刘文豪，S&P 2023，CoChain: High Concurrency Blockchain Sharding via Consensus on Consensus
  2. 朱钰立，TMC 2024，Secret Key Generation Based on Manipulated Channel Measurement Matching
  3. 徐睿航，SigComm 2023，NeoBFT: Accelerating Byzantine Fault Tolerance Using Authenticated In-Network Ordering
  4. 苏徐涛，Advances in Neural Information Processing Systems 2023，Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
  • Session 6: Privacy
  1. 周锦涛，SIGCOMM 2024，ConfMask: Enabling Privacy-Preserving Configuration Sharing via Anonymization
  2. 吴心淇，WWW 2024，SPRING: improving the throughput of sharding blockchain via deep reinforcement learning
  3. 刘梦颖，计算机学报 2023，一种基于本地化差分隐私的网格聚类方法
  4. 杨若菡，计算机学报 2025，面向隐私保护的用户评论基准数据集构建与大模型推理能力评估
  • Session 7: Interesting topics
  1. 农烨，AAAI 2023，PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction
  2. 鲜沛宏，INFOCOM 2024，A De-anonymization Attack Against Downloaders in Freenet
  3. 徐楠钧，CV-arXiv 2024，Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
  4. 刘睿哲，INFOCOM 2024，VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras


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.
  • 论文提交日期2025.04.23 - 2025.04.30
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