Difference between revisions of "Resource:Paper Carnival 2025"

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{{Note|Paper carnival 2025, Time: 2025-8-27 ~ 2024-8-28, Location: A518; [[Resource:Reading_List|Reading list]] can be found here.}}
{{Tip
== Day 1 ==
|title=Carnival 2025
=== Opening 9:00-9:20 ===
|content=
====1. Remarks for New Semester - Zhiwei Zhao "9:00-9:20" ====
:'''Time''': 2025-08-27 ~ 2025-08-28
=== System Track ===
:'''Location''': A518
====1. LLM Cache Optimization - Qinyong Li "9:20-10:00" ====
}}
== '''Day 1''' ==
==='''Session 1''': Networked System===
====1. LLM Cache Optimization - Qinyong Li "9:00-9:40" ====
* [Eurosys'25] [https://arxiv.org/pdf/2405.16444 CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion]
* [Eurosys'25] [https://arxiv.org/pdf/2405.16444 CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion]
* [MobiCom'24] [https://dl.acm.org/doi/pdf/10.1145/3651890.3672274 CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving]
* [SigComm'24] [https://dl.acm.org/doi/pdf/10.1145/3651890.3672274 CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving]
====2. Video Analytics - Xinyan Wang "10:00-10:40"====
 
====2. Disaggregated OS - Haifeng "9:40-10:00"====
* [NSDI'25] [https://www.usenix.org/system/files/nsdi25-li-quanxi.pdf Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs]
===Break "10:00-10:05"===
----
==='''Session 2''': Video Analytics for AIoT ===
====1. ML for VA - Xinyan "10:05-10:45"====
* [ISCA'24] [https://ieeexplore.ieee.org/document/10609643 DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics]
* [ISCA'24] [https://ieeexplore.ieee.org/document/10609643 DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics]
* [NSDI'23] [https://www.usenix.org/system/files/nsdi23-khani.pdf RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics]
* [NSDI'23] [https://www.usenix.org/system/files/nsdi23-khani.pdf RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics]
* [MM'23] [https://arxiv.org/pdf/2308.16413 Edge-Assisted On-Device Model Update for Video Analytics in Adverse Environments]
* [MM'23] [https://arxiv.org/pdf/2308.16413 Edge-Assisted On-Device Model Update for Video Analytics in Adverse Environments]
====3. Disaggregated OS - Haifeng Huang "10:40-11:20"====
====2. Image Offloading Revisit - Yi Zhou "10:45-11:05"====
* [NSDI'25] [https://www.usenix.org/system/files/nsdi25-li-quanxi.pdf Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs]
* [MobiSys 2024] [https://arxiv.org/pdf/2504.13736 LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices]
====4. Code Generation - Youwei Ran "11:40-12:10"====
====3. Vision Drones - Jiahao "11:05-11:25"====
* [Mobicom'25] [https://arxiv.org/pdf/2412.18116 AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation]
* [T-RO'25] [https://ieeexplore.ieee.org/abstract/document/10816005 FAPP: Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments]
=== Network Track 14:00-17:00 ===
 
====1. ML in LoRa Reception - Kai Chen"14:00-14:40"====
===Break "11:25-14:00"===
* [ICNP'23] [https://ieeexplore.ieee.org/abstract/document/10355583 Hi2LoRa: Exploring Highly Dimensional and Highly Accurate Features to Push LoRaWAN Concurrency Limits with Low Implementation Cost]
----
* [SenSys'24] [https://dl.acm.org/doi/10.1145/3666025.3699354 Enhancing LoRa Reception with Generative Models: Channel-Aware Denoising of LoRaPHY Signals]
=== '''Session 3''': Networking ===
* [ICNP'24] [https://ieeexplore.ieee.org/document/10858555 Deepdetangle: Deep Learning-Based Fusion of Chirp-Level and Packet-Level Features for Lora Parallel Decoding]
====1. Quantum Networks - Yaliang "14:00-14:40"====
====2. Quantum network - Yaliang "14:40-15:20"====
* [INFOCOM'22] [http://staff.ustc.edu.cn/~zgm1993/papers/2022+INFOCOM+E2E%20Fidelity%20Aware%20Routing%20and%20Purification%20for%20Throughput%20Maximization%20in%20Quantum%20Networks.pdf E2E Fidelity Aware Routing and Purification for Throughput Maximization in Quantum Networks]
* [INFOCOM'22] [http://staff.ustc.edu.cn/~zgm1993/papers/2022+INFOCOM+E2E%20Fidelity%20Aware%20Routing%20and%20Purification%20for%20Throughput%20Maximization%20in%20Quantum%20Networks.pdf E2E Fidelity Aware Routing and Purification for Throughput Maximization in Quantum Networks]
* [JSAC'24] [https://ieeexplore.ieee.org/abstract/document/10477477 On Optimum Entanglement Purification Scheduling in Quantum Networks]
* [JSAC'24] [https://ieeexplore.ieee.org/abstract/document/10477477 On Optimum Entanglement Purification Scheduling in Quantum Networks]
* [INFOCOM'25] [https://ieeexplore.ieee.org/abstract/document/11044462 Link Configuration for Fidelity-Constrained Entanglement Routing in Quantum Networks]
* [INFOCOM'25] [https://ieeexplore.ieee.org/abstract/document/11044462 Link Configuration for Fidelity-Constrained Entanglement Routing in Quantum Networks]
====3. V2V Networks - Zhenguo Bi "14:30-15:10"====
====2. V2V Networks - Zhenguo Bi "14:40-15:00"====
* [INFOCOM'25] [https://ieeexplore.ieee.org/abstract/document/11044682 RoCooper: Robust Cooperative Perception under Vehicle-to-Vehicle Communication Impairments]
* [INFOCOM'25] [https://ieeexplore.ieee.org/abstract/document/11044682 RoCooper: Robust Cooperative Perception under Vehicle-to-Vehicle Communication Impairments]
====4. Lora - Mengyu "15:10-16:00"====
=== Break "15:00-15:05" ===
----
=== '''Session 4''': LoRa ===
====1. ML in LoRa Reception - Kai Chen"15:05-15:45"====
* [ICNP'23] [https://ieeexplore.ieee.org/abstract/document/10355583 Hi<sup>2</sup>LoRa: Exploring Highly Dimensional and Highly Accurate Features to Push LoRaWAN Concurrency Limits with Low Implementation Cost]
* [SenSys'24] [https://dl.acm.org/doi/10.1145/3666025.3699354 Enhancing LoRa Reception with Generative Models: Channel-Aware Denoising of LoRaPHY Signals]
* [ICNP'24] [https://ieeexplore.ieee.org/document/10858555 Deepdetangle: Deep Learning-Based Fusion of Chirp-Level and Packet-Level Features for Lora Parallel Decoding]
====2. Performance - Mengyu "15:45-16:15"====
* [ToN'24] [https://ieeexplore.ieee.org/document/10507855 RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking]
* [ToN'24] [https://ieeexplore.ieee.org/document/10507855 RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking]
* [TMC'25] [https://ieeexplore.ieee.org/document/11080118 Enhancing Link Performance for Mobile LoRa Networks]
* [TMC'25] [https://ieeexplore.ieee.org/document/11080118 Enhancing Link Performance for Mobile LoRa Networks]
====5. Offloading - Yi Zhou "16:00-16:30"====
* [MobiSys 2024][https://arxiv.org/pdf/2504.13736 LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices]
====6.UAV - Jiahao He "16:30-17:00"====
* [T-RO'25][https://ieeexplore.ieee.org/abstract/document/10816005 FAPP: Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments]


== Day 2 ==
=== Break "16:15-16:20" ===
=== Track 9:00-10:00===
----
====1.Volume Video- Mengfan Wang "9:00-9:30"====
=== '''Session 5''': LLM Code Generation ===
====1. Use of CodeGen - Youwei "16:20-16:40"====
* [Mobicom'25] [https://arxiv.org/pdf/2412.18116 AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation]
====2. Code Translation - Bairong "16:40-17:00"====
* [ICSE'25] [https://arxiv.org/abs/2411.01063 InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation]
* [Arxiv] [https://arxiv.org/abs/2503.05346 AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications]
 
----
 
== '''Day 2''' ==
==='''Session 6''': Volumetric video===
====1.Volume Video- Mengfan "9:00-9:20"====
* [Mobicom'24] [https://dl.acm.org/doi/abs/10.1145/3636534.3690685 An End-to-End, Low-Cost, and High-Fidelity 3D Video Pipeline for Mobile Devices]
* [Mobicom'24] [https://dl.acm.org/doi/abs/10.1145/3636534.3690685 An End-to-End, Low-Cost, and High-Fidelity 3D Video Pipeline for Mobile Devices]
====2.Volume Video- Jiyi Wu "9:30-10:10"====
====2.Volume Video- Jiyi "9:20-10:00"====
* [TOG'23] [https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Gaussian+Splatting+for+Real-Time+Radiance+Field+Rendering&btnG= 3D Gaussian Splatting for Real-Time Radiance Field Rendering]
* [TOG'23] [https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Gaussian+Splatting+for+Real-Time+Radiance+Field+Rendering&btnG= 3D Gaussian Splatting for Real-Time Radiance Field Rendering]
* [TOG'24] [https://dl.acm.org/doi/pdf/10.1145/3687935 V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians]
* [TOG'24] [https://dl.acm.org/doi/pdf/10.1145/3687935 V<sup>3</sup>: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians]
====3. LLM-driven applications - Bairong Liu "10:10-10:50"====
===Break "10:00-10:05"===
* [ICSE'25] [https://arxiv.org/abs/2411.01063 InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation]
----
* [Arxiv] [https://arxiv.org/abs/2503.05346 AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications]
=== '''Session 7''': Edge Deployment and Inference===
====4. Inference Optimization - Ruizheng Zhang "10:50-11:20"====
====1. Edge LLM - Junzhe "10:05-10:25"====
* [INFOCOM'25] [https://ieeexplore.ieee.org/document/11044447 TensAllo: Adaptive Deployment of LLMs on Resource-Constrained Heterogeneous Edge Devices]
====2. Inference Optimization - Ruizheng "10:25-10:45"====
* [INFOCOM'25] [https://ieeexplore.ieee.org/abstract/document/11044678 DUNE: Distributed Inference in the User Plane]
* [INFOCOM'25] [https://ieeexplore.ieee.org/abstract/document/11044678 DUNE: Distributed Inference in the User Plane]
====5. Edge LLM - Junzhe Guan "11:20-11:50"====
----
* [INFOCOM'25] [https://ieeexplore.ieee.org/document/11044447 TensAllo: Adaptive Deployment of LLMs on Resource-Constrained Heterogeneous Edge Devices]
 
=== '''Session 8''': Summary and closing remarks ===

Latest revision as of 22:51, 27 August 2025

Carnival 2025
Time: 2025-08-27 ~ 2025-08-28
Location: A518

Day 1

Session 1: Networked System

1. LLM Cache Optimization - Qinyong Li "9:00-9:40"

2. Disaggregated OS - Haifeng "9:40-10:00"

Break "10:00-10:05"

Session 2: Video Analytics for AIoT

1. ML for VA - Xinyan "10:05-10:45"

2. Image Offloading Revisit - Yi Zhou "10:45-11:05"

3. Vision Drones - Jiahao "11:05-11:25"

Break "11:25-14:00"

Session 3: Networking

1. Quantum Networks - Yaliang "14:00-14:40"

2. V2V Networks - Zhenguo Bi "14:40-15:00"

Break "15:00-15:05"

Session 4: LoRa

1. ML in LoRa Reception - Kai Chen"15:05-15:45"

2. Performance - Mengyu "15:45-16:15"

Break "16:15-16:20"

Session 5: LLM Code Generation

1. Use of CodeGen - Youwei "16:20-16:40"

2. Code Translation - Bairong "16:40-17:00"

Day 2

Session 6: Volumetric video

1.Volume Video- Mengfan "9:00-9:20"

2.Volume Video- Jiyi "9:20-10:00"

Break "10:00-10:05"

Session 7: Edge Deployment and Inference

1. Edge LLM - Junzhe "10:05-10:25"

2. Inference Optimization - Ruizheng "10:25-10:45"

Session 8: Summary and closing remarks

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