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{| class="wikitable"
在新建工作页面时，注意页面名称规范，Pending的题目及时移入InProgress前缀
|+
<inputbox>
!User
type=create
!Working
width=100
!Submitted
break=no
!Published
buttonlabel=创建新页面
!Pending
placeholder=E.g., Research:InProgress/Work_name, Research:Pending/Work_name
|-
</inputbox>
|[[User:Bairong|Bairong]]
= 进行中的工作 =
|
<tabber>|-|总览=
* [[Research:InProgress/DTLab|DTLab]]
研究工作大致分为边端协同AI、物联网、网络系统、场景应用以及零散竞赛相关方向。总的目标是希望能够让更多能力受限的物联网设备具有复杂计算的能力，打破网络与计算的边界，形成智能物联网系统。
=== 注意事项 ===
请各位同学定期更新自己工作对应的页面，也可以自由新增、调整，尽量不删除（除非是重复建设的页面）。
=== 题目列表 ===
{{Special:PrefixIndex/Research:}}


* [[Research:InProgress/HybridReID|HybridReID]]
|-|边缘协同AI=
|
通过计算卸载、边端边边协同方式，将松散、受限的计算资源打通，形成复杂计算能力，支持在动态、低成本、不可靠环境中稳定运行各类AI服务。
|
== 人员 ==
|
在读：[[User:Xianyang|显阳]], [[User:Xinyan|新燕]], [[User:Ruizheng|瑞征]], [[User:Zhongwei|忠伟]], [[User:Yifei|逸菲]], [[User:Shuhong|舒泓]], [[User:Menghao|梦浩]], [[User:Zhiyu|芷昱]], [[User:Jiayu|家宇]]
|-
 
|[[User:Chenkai|Chenkai]]
毕业：[[User:Congrong|丛荣]], [[User:Jiale|嘉乐]], 舒畅, 刘长胜, 韩云鹏, 张林元齐, 张健飞, 莫继为, 张云桐, 王梓
|
 
* [[Research:InProgress/Symbol-levelLoRaCoding|Symbol-levelLoRaCoding]]
== 协同计算 ==
|
* [[Research:InProgress/ContentEnhancement|内容增强]], [https://apps.mobinets.org:30008/project/680ee7af7fc46f0088c30572 内容感知的图像增强] ([[User:Xinyan|新燕]], [[User:Shuhong|舒泓]])
|
* [[Research:Pending/Collaborative content enhancement|多摄像头协同内容增强]] ([[User:Xinyan|新燕]], [[User:Zhongwei|忠伟]])
|
* [[Research:InProgress/VideoAnalytics|边缘视频分析综述]] ([[User:Xinyan|新燕]])
|-
* [[Research:Pending/QuicEC|面向边缘协同推理的协议设计]] ([[User:Ruizheng|瑞征]])
|[[User:Congrong|Congrong]]
* [[Research:InProgress/MOT|多目标追踪]] ([[User:Xianyang|显阳]])
|
* [[Research:InProgress/ReDream MixedSparseCoding|利用稀疏编码降低推理流量消耗]] ([[User:Xianyang|显阳]])
|
* [[Research:InProgress/Squad-Satedge|OEC任务分配Squad]]([[User:Haifeng|海峰]])
|[[Research:Archives/Kite-exp|Kite-exp (TMC24)]]  
 
[[Research:Archives/Kite-exp|TASP(TPDS25)]]
== 超轻量推理 ==
|
* [[Research:InProgress/Ultra-Lightweight Inference|基于HDC的超轻量化推理]] ([[User:Menghao|梦浩]], [[User:Zhiyu|芷昱]])
|-
 
|[[User:Haifeng|Haifeng]]
== 计算卸载 ==
|[[Research:InProgress/Echos|Echos]]
* 星地场景的卸载决策
|
* 多边缘场景卸载
|
* 移动、异构场景中的计算卸载
|[[Research:Pending/RIS|RIS]]
** [https://apps.mobinets.org:30008/project/64535176a86a2f008f85e284 Remora]
|-
**[https://apps.mobinets.org:30008/project/660aaa72ba2c2a008c9bc35c Meepo]
|[[User:Haotian|Haotian]]
** [https://apps.mobinets.org:30008/project/656b0437ed2cfd0087cd61dc Menelaus]
|[[Research:InProgress/DTLab|DTLab]]
 
|
|-|物联网=
|[[Research:Archives/异构无人要素|UAV Swarm]]
物联网逐渐被解构了，除了传统的低功耗传输组网推理外，更多工作被定义在其他更加具体的场景中，如无人机/AR/全息路口等。
[[Research:Archives/跨设备IO|Cross-palt IO]]
== 人员 ==
|
在读：[[User:Chenkai|陈凯]], [[User:Mengyu|孟羽]], [[User:Youwei|有为]], [[User:Bairong|栢荣]], [[User:Bairong|周羿]], [[User:Jiacheng|嘉诚]], [[User:Bairong|梦琪]], [[User:Jiahao|佳昊]], [[User:Wangyang|汪洋]]
|-
 
|[[User:Jiahao|Jiahao]]
毕业：王鹏飞, 陈嘉俊, 张新宇, 毛文量, 郑凯文, 王雄, 黄文杰, 高伟峰, 庞瑶瑶, 杨轩, 黄新源
|[[Research:InProgress/AutonomousFollowing|AutonomousFollowing]]
== 低功耗通信及组网 ==
[[Research:InProgress/DroneFollow|DroneFollow]]
长距离低功耗通信，主要包含可见光和LoRa:
|
* [[Research:InProgress/Symbol-levelLoRaCoding|Symbol-levelLoRaCoding]] ([[User:Chenkai|陈凯]])
|
* [https://apps.mobinets.org:30008/project/634cb0beb28cd6008b9cf668 跳信道LoRa传输CHLoRa] ([[User:Chenkai|陈凯]])
|
* [[Research:InProgress/MutiGW&Rateless-LoRa|LoRa多网关Rateless数据传输]]
|-
* [[Research:InProgress/ChirpLight|CSS可见光-扩展]] ([[User:Mengyu|孟羽]], [[User:Jiacheng|嘉诚]])
|[[User:Jiyi|Jiyi]]
* [[Research:InProgress/ChirpLight|CSS可见光]] ([[User:Mengyu|孟羽]], [[User:Jiacheng|嘉诚]])
|[[Research:InProgress/MultiShare VV|MultiShare VV]]
* [[Research:InProgress/Multihop LoRa|多跳LoRa组网]] ([[User:Mengyu|孟羽]])
[[Research:InProgress/VolumetricVideoPaperRead wujiyi|VVPaperRead]]
 
|[[Research:InProgress/VolumetricVideoBodySegInterCoding|VVBodySegInterCoding]]
== 异构协议/代码生成 ==
|
跨域物联网协议及代码生成：
|
* [[Knowledge:Tutorials/Rings|Rings 1.0快速语义打通]] ([[User:Mengqi|梦琪]], [[User:Youwei|有为]])
|-
* [[Research:InProgress/LLM-Rings|Rings 2.0异构代码生成]] ([[User:Youwei|有为]], [[User:Bairong|栢荣]])
|[[User:Junzhe|Junzhe]]
 
|
== 跟随无人机/机器人 ==
|[[Research:InProgress/GeDES|GeDES]]
=== ReID ===
|
* [[Research:InProgress/HybridReID|混合模式的ReID]] ([[User:Bairong|栢荣]])
|
* [[Research:InProgress/LLM-HFR|基于生成模型的ReID]] ([[User:Zhouyi|周羿]])
|-
 
|[[User:Luwei|Luwei]]
=== 无人机自主跟拍系统 ===
|
* [[Research:InProgress/AutonomousFollowing|无人车自主跟随]], [[Research:InProgress/HFR|车跟人HFR]] ([[User:Jiahao|佳昊]], [[User:Wangyang|汪洋]])
|
* [[Research:InProgress/DroneFollow|无人机自主跟随]] ([[User:Jiahao|佳昊]], [[User:Wangyang|汪洋]]
|
* [[Research:InProgress/AppReplicaUAV|轨迹复制]] ([[User:Zhouyi|周羿]], [[User:Linqi|麟旗]], [[User:Jiahao|佳昊]])
|
* [[Research:Pending/AltitudeEstUAV|无人机高度估计]] (待定)
|-
 
|[[User:Mengfan|Mengfan]]
== AR、孪生等 ==
|[[Research:InProgress/VolumetricVideoBodySegInterCoding|VVBodySegInterCoding]][[Research:InProgress/Progressive VV|Progressive VV]]
* [[Research:InProgress/DTLab|实验室孪生系统]] ([[User:Haotian|浩天]])
|
* 可编程展板 ([[User:Haifeng|海峰]])
|
* AR Life logger ([[User:Shijian|世鉴]])
|
 
|-
|-|网络系统=
|[[User:Mengyu|Mengyu]]
各类网络系统，包含数据中心仿真、量子网络、车联网、无人机网络等等。
|[[Research:InProgress/Multihop LoRa|Multihop LoRa]]
==人员==
|[[Research:InProgress/ChirpLight|ChirpLight]]
在读：[[User:Qinyong|芹涌]], [[User:Zhenguo|振国]], [[User:Yaliang|亚亮]], [[User:Haifeng|海峰]], [[User:Junzhe|俊哲]], [[User:Bangguo|帮国]], [[User:Zhenhua|振华]]
|[[Research:InProgress/M-FSK|M-FSK (ICPADS24)]]
 
|
毕业：[[User:Luwei|璐炜]], [[User:Zhuoliu|卓柳]], 王哲, 陈烁炜, 李维旺, 江雨虹, 杨安琪, 杨明航
|-
== 大规模仿真 ==
|[[User:Qinyong|Qinyong]]
* [[Research:InProgress/GeDES|GPU原生的网络仿真器]] ([[User:Qinyong|芹涌]], [[User:Junzhe|俊哲]])
|[[Research:InProgress/DeDES|DeDES]]
* [[Research:InProgress/DeDES|分布式仿真]] ([[User:Qinyong|芹涌]])
[[Research:InProgress/Squad-Satedge|Squad-Satedge]]
* [[Research:InProgress/CapSim|卫星网络仿真CapSim]] ([[User:Qinyong|芹涌]])
|[[Research:InProgress/GeDES|GeDES]]
* 分布式gpu网络仿真 ([[User:Junzhe|俊哲]])
[[Research:InProgress/GeDES|CapSim]]
== 离散OS ==
|
* [[Research:InProgress/Echos|基于无线总线内存访问的协同计算]] ([[User:Haifeng|海峰]])
|
== 量子网络 ==
|-
* [[Research:InProgress/ER|Efficient Entanglement]] ([[User:Yaliang|亚亮]])
|[[User:Ruizheng|Ruizheng]]
* [[Research:Pending/Incremental link configuration|量子网络增量配置更新]] ([[User:Yaliang|亚亮]])
|
* SDN更新 ([[User:Yaliang|亚亮]])
|
* ([[User:Yaliang|亚亮]])
|
 
|
== 车联网 ==
|-
* 交通流规划 ([[User:Zhenguo|振国]])
|[[User:Shuhong|Shuhong]]
* [[Research:InProgress/ROUTE|车联网路由]] ([[User:Zhenguo|振国]])
|
* [[Research:InProgress/Augmentation|数据增强]] ([[User:Zhenguo|振国]])
|
==UAV网络==
|[[Research:Archives/赛车IPSN24竞赛|AutoDriveRace]]
* 无人机数据采集 ([[User:Luwei|璐炜]])
|
* [[Research:InProgress/ManagePath|无人机路径管理]] ([[User:Zhenhua|振华]], [[User:Luwei|璐炜]])
|-
== RIS ==
|[[User:Wangyang|Wangyang]]
* [[Research:Pending/RIS|RIS]] ([[User:Haifeng|海峰]])
|[[Research:InProgress/AutonomousFollowing|AutonomousFollowing]]
== 人际网络 ==
[[Research:InProgress/HFR|HFR]]
* [[Research:InProgress/GradMatch|师生匹配]] ([[User:Daobin|道斌]])
|
 
|
 
|
|-|场景应用=
|-
非常具体的应用场景中存在的各类问题，有一定产业化前景的题目。
|[[User:Xianyang|Xianyang]]
== 人员 ==
|[[Research:InProgress/MOT|MOT]]
在读：[[User:Jiyi|基易]], [[User:Mengfan|梦凡]],  [[User:Chenli|陈立]], [[User:Daobin|道斌]], [[User:Linqi|麟旗]], [[User:Shijian|世鉴]]
[[Research:InProgress/ReDream MixedSparseCoding|ReDream]][[Research:InProgress/AdaptiveSparseCoding|AdaptiveSparseCoding]][[Research:InProgress/MixedSparseCoding|MixedSparseCoding]]
 
|
毕业：陈飞羽, 刘江澍, 胡诗琦, 王晓松, 冯思林, 李经纬, 杨璐齐, 赵子斐, 方予懿
|[[Research:InProgress/EdgeLight TII|EdgeLight TII (ICC25)]]
== 体积视频 ==
|
充分利用边缘能力、降低提及视频的视频生成门槛，提升编解码效率，并支持更加动态复杂的场景。
|-
* [[Research:InProgress/MultiShare VV|多用户共享体积视频]] ([[User:Jiyi|基易]])
|[[User:Xinyan|Xinyan]]
* [[Research:InProgress/VolumetricVideoPaperRead wujiyi|相关论文阅读]] ([[User:Jiyi|基易]])
|[[Research:InProgress/VideoAnalytics|VideoAnalytics]][[Research:InProgress/ContentEnhancement|ContentEnhancement]]
* [[Research:InProgress/VolumetricVideoBodySegInterCoding|体积视频切割编码]] ([[User:Mengfan|梦凡]], [[User:Jiyi|基易]])
|
* [[Research:InProgress/Progressive VV|渐进体积视频编码]] ([[User:Mengfan|梦凡]])
|
* [[Research:InProgress/VVPipeline|提及视频重建]] ([[User:Mengfan|梦凡]])
|
== 大规模仿真 ==
|-
长期目标替代NS3：
|[[User:Yaliang|Yaliang]]
* [[Research:InProgress/GeDES|GPU原生的网络仿真器]] ([[User:Qinyong|芹涌]], [[User:Chenli|陈立]])
|[[Research:InProgress/ER|Efficient Entanglement]]
 
|
== 全息路口 ==
|
* [[Research:InProgress/EdgeLight TII|人路协同计算卸载]] ([[User:Xianyang|显阳]])
|
 
|-
== 无人机/AR ==
|[[User:Youwei|Youwei]]
* 人机物交互AppStore（提炼环境关系）
|
* 自主跟随拍摄
|
* 面向行业场景的各类AR系统
|
** AR life logger
|
** 面向医疗场景
|-
 
|[[User:Zhenguo|Zhenguo]]
== 人物关系匹配 ==
|[[Research:InProgress/ROUTE|ROUTE]]
需求找人的问题，包括师生匹配、校友匹配、老乡匹配等等。从最熟悉的师生关系开始：
|
* [[Research:InProgress/GradMatch|研究生师生匹配系统]] ([[User:Daobin|道斌]])
|
 
|
 
|-
|-|竞赛=
|[[User:Zhenhua|Zhenhua]]
== 各类竞赛 ==
|[[Research:InProgress/ManagePath|ManagePath]]
包括国内、国际会议联合举办的各类竞赛：
|
* IPSN24自动驾驶竞赛 ([[User:Shuhong|舒泓]], [[User:Pengfei|王鹏飞]])
|[[Research:Archives/173网络管理测评|DataManUAVs]]
* 2024全国研究生OS竞赛：键鼠跨设备输入 ([[User:Haotian|浩天]], [[User:Jiacheng|嘉诚]])
|
</tabber>
|-
 
|[[User:Zhouyi|Zhouyi]]
 
|[[Research:InProgress/HFR|HFR]], [[Research:InProgress/LLM-HFR|LLM-HFR]]
<!--
|
|
|
|}
{{Special:PrefixIndex/Research:InProgress/}}
{{Special:PrefixIndex/Research:InProgress/}}
-->

Latest revision as of 01:23, 13 November 2025

在新建工作页面时，注意页面名称规范，Pending的题目及时移入InProgress前缀

进行中的工作

研究工作大致分为边端协同AI、物联网、网络系统、场景应用以及零散竞赛相关方向。总的目标是希望能够让更多能力受限的物联网设备具有复杂计算的能力，打破网络与计算的边界，形成智能物联网系统。

注意事项

请各位同学定期更新自己工作对应的页面，也可以自由新增、调整，尽量不删除（除非是重复建设的页面）。

题目列表

通过计算卸载、边端边边协同方式，将松散、受限的计算资源打通，形成复杂计算能力，支持在动态、低成本、不可靠环境中稳定运行各类AI服务。

人员

在读：显阳, 新燕, 瑞征, 忠伟, 逸菲, 舒泓, 梦浩, 芷昱, 家宇

毕业：丛荣, 嘉乐, 舒畅, 刘长胜, 韩云鹏, 张林元齐, 张健飞, 莫继为, 张云桐, 王梓

协同计算

超轻量推理

计算卸载

  • 星地场景的卸载决策
  • 多边缘场景卸载
  • 移动、异构场景中的计算卸载

物联网逐渐被解构了，除了传统的低功耗传输组网推理外，更多工作被定义在其他更加具体的场景中，如无人机/AR/全息路口等。

人员

在读：陈凯, 孟羽, 有为, 栢荣, 周羿, 嘉诚, 梦琪, 佳昊, 汪洋

毕业：王鹏飞, 陈嘉俊, 张新宇, 毛文量, 郑凯文, 王雄, 黄文杰, 高伟峰, 庞瑶瑶, 杨轩, 黄新源

低功耗通信及组网

长距离低功耗通信，主要包含可见光和LoRa:

异构协议/代码生成

跨域物联网协议及代码生成：

跟随无人机/机器人

ReID

无人机自主跟拍系统

AR、孪生等

各类网络系统，包含数据中心仿真、量子网络、车联网、无人机网络等等。

人员

在读：芹涌, 振国, 亚亮, 海峰, 俊哲, 帮国, 振华

毕业：璐炜, 卓柳, 王哲, 陈烁炜, 李维旺, 江雨虹, 杨安琪, 杨明航

大规模仿真

离散OS

量子网络

车联网

UAV网络

RIS

人际网络

非常具体的应用场景中存在的各类问题，有一定产业化前景的题目。

人员

在读：基易, 梦凡, 陈立, 道斌, 麟旗, 世鉴

毕业：陈飞羽, 刘江澍, 胡诗琦, 王晓松, 冯思林, 李经纬, 杨璐齐, 赵子斐, 方予懿

体积视频

充分利用边缘能力、降低提及视频的视频生成门槛，提升编解码效率，并支持更加动态复杂的场景。

大规模仿真

长期目标替代NS3：

全息路口

无人机/AR

  • 人机物交互AppStore（提炼环境关系）
  • 自主跟随拍摄
  • 面向行业场景的各类AR系统
    • AR life logger
    • 面向医疗场景

人物关系匹配

需求找人的问题，包括师生匹配、校友匹配、老乡匹配等等。从最熟悉的师生关系开始：

各类竞赛

包括国内、国际会议联合举办的各类竞赛：


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