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.}}
{{Note|Paper carnival 2025, Time: 2025-8-27 ~ 2024-8-28, Location: A518; [[Resource:Reading_List|Reading list]] can be found here.}}
== Day 1 ==
== Day 1 ==
=== Opening 9:00-9:50 ===
=== Opening 9:00-9:20 ===
====1. Remarks for New Semester - Zhiwei Zhao "9:00-9:30" ====
====1. Remarks for New Semester - Zhiwei Zhao "9:00-9:20" ====
=== System Track ===
=== System Track ===
====1. LLM Cache Optimization - Qinyong Li "9:50-10:20" ====
====1. LLM Cache Optimization - Qinyong Li "9:20-10:00" ====
* [Eurosys'25] [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/10.1145/3636534.3649363 Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices]
* [MobiCom'24] [https://dl.acm.org/doi/pdf/10.1145/3651890.3672274 CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving]
* [ISCA'24] [https://arxiv.org/abs/2403.14353 DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics]
====2. Video Analytics - Xinyan Wang "10:00-10:40"====
====2. Crowdsensing - Zhenguo "10:25-10:55"====
* [ISCA'24] [https://ieeexplore.ieee.org/document/10609643 DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics]
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621276 META-MCS: A Meta-knowledge Based Multiple Data Inference Framework]
* [NSDI'23] [https://www.usenix.org/system/files/nsdi23-khani.pdf RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics]
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621156 Few-Shot Data Completion for New Tasks in Sparse Crowdsensing]
* [MM'23] [https://arxiv.org/pdf/2308.16413 Edge-Assisted On-Device Model Update for Video Analytics in Adverse Environments]
====3. Volumetric Video Streaming - Mengfan "11:00-11:30"====
====3. Disaggregated OS - Haifeng Huang "10:40-11:20"====
* [NSDI'22] [https://www.usenix.org/conference/nsdi22/presentation/zhang-anlan YuZu: Neural-Enhanced Volumetric Video Streaming]
* [NSDI'25] [https://www.usenix.org/system/files/nsdi25-li-quanxi.pdf Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs]
* [MobiCom'23] [https://dl.acm.org/doi/10.1145/3570361.3592525 FarfetchFusion: Towards Fully Mobile Live 3D Telepresence Platform]
====4. Code Generation - Youwei Ran "11:40-12:10"====
* [MobiSys'24] [https://dl.acm.org/doi/10.1145/3643832.3661858 Theia: Gaze-driven and Perception-aware Volumetric Content Delivery for Mixed Reality Headsets]
* [Mobicom'25] [https://arxiv.org/pdf/2412.18116 AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation]
====4. Video Analytics - Xinyan "11:30-12:00"====
=== Network Track 14:00-17:00 ===
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621148 VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras]
====1. ML in LoRa Reception - Kai Chen"14:00-14:40"====
* [INFOCOM'24] [https://ieeexplore.ieee.org/document/10621116 Crucio: End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics]
* [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]
=== Network and Wireless 14:00-16:00 ===
* [SenSys'24] [https://dl.acm.org/doi/10.1145/3666025.3699354 Enhancing LoRa Reception with Generative Models: Channel-Aware Denoising of LoRaPHY Signals]
====1. Long Range - Kai "14:00-14:25"====
* [ICNP'24] [https://ieeexplore.ieee.org/document/10858555 Deepdetangle: Deep Learning-Based Fusion of Chirp-Level and Packet-Level Features for Lora Parallel Decoding]
* [MobiSys'24] [https://dl.acm.org/doi/10.1145/3643832.3661861 ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoT]
====2. Quantum network - Yaliang "14:40-15:20"====
====2. IoV - Luwei "14:30-14:50"====
* [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'24] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10621152 Edge-Assisted Camera Selection in Vehicular Networks]
* [JSAC'24] [https://ieeexplore.ieee.org/abstract/document/10477477 On Optimum Entanglement Purification Scheduling in Quantum Networks]
====3. Quantum network - Yaliang "15:00-15:30"====
* [INFOCOM'25] [https://ieeexplore.ieee.org/abstract/document/11044462 Link Configuration for Fidelity-Constrained Entanglement Routing in Quantum Networks]
* [INFOCOM'23] [https://doi.org/10.1109/infocom53939.2023.10229101 Asynchronous Entanglement Provisioning and Routing for Distributed Quantum Computing]
====3. V2V Networks - Zhenguo Bi "14:30-15:10"====
* [ToN'24] [https://doi.org/10.1109/tnet.2023.3285093 Q-DDCA: Decentralized Dynamic Congestion Avoid Routing in Large-Scale Quantum Networks]
* [INFOCOM'25] [https://ieeexplore.ieee.org/abstract/document/11044682 RoCooper: Robust Cooperative Perception under Vehicle-to-Vehicle Communication Impairments]
* [TNSM'23] [https://doi.org/10.1109/tnsm.2023.3275815 Swapping-Based Entanglement Routing Design for Congestion Mitigation in Quantum Networks]
====4. Lora - Mengyu "15:10-16:00"====
====4. LLM - Qinyong "15:30-16:00"====
* [ToN'24] [https://ieeexplore.ieee.org/document/10507855 RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking]
* [SIGCOMM'24] [https://dl.acm.org/doi/abs/10.1145/3651890.3672268 NetLLM: Adapting Large Language Models for Networking]
* [TMC'25] [https://ieeexplore.ieee.org/document/11080118 Enhancing Link Performance for Mobile LoRa Networks]
* [NSDI'24] [https://www.usenix.org/conference/nsdi24/presentation/hu Characterization of Large Language Model Development in the Datacenter]
====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]
===Interesting topics (1) 16:00-17:30===
====6.UAV - Jiahao He "16:30-17:00"====
# [MobiSys'24] [https://dl.acm.org/doi/abs/10.1145/3643832.3661855 Face Recognition In Harsh Conditions: An Acoustic Based Approach] - Jiacheng
* [T-RO'25][https://ieeexplore.ieee.org/abstract/document/10816005 FAPP: Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments]
# [MobiSys'24] [https://dl.acm.org/doi/abs/10.1145/3643832.3661894 ARISE: High-Capacity AR Offloading Inference Serving via Proactive Scheduling] - Jiale
# [NSDI'24] [https://www.usenix.org/conference/nsdi24/presentation/alquraan LoLKV: The Logless, Linearizable, RDMA-based Key-Value Storage System] - Haotian


== Day 2 ==
== Day 2 ==
===Interesting topics (2) 9:00-10:00===
=== Track 9:00-10:00===
# [INFOCOM'24] [https://arxiv.org/abs/2404.02166 An Online Joint Optimization Approach for QoE Maximization in UAV-Enabled Mobile Edge Computing] - Yang Wang
====1.Volume Video- Mengfan Wang "9:00-9:30"====
# [MobiSys'24] [https://dl.acm.org/doi/abs/10.1145/3643832.3661856 LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks] - Zhenhua
* [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/10.1145/3636534.3649354 Venus: Enhancing QoE of Crowdsourced Live Video Streaming by Exploiting Multiflow Viewer Assistance] - Shuhong
====2.Volume Video- Jiyi Wu "9:30-10:10"====
 
* [TOG'23] [https://sgvr.kaist.ac.kr/~sungeui/ICG_F23/Students/[CS482]%203D%20Gaussian%20Splatting%20for%20Real-Time%20Radiance%20Field%20Rendering.pdf 3D Gaussian Splatting for Real-Time Radiance Field Rendering]
===Tutorials 10:00-12:00===
* [TOG'24] [https://dl.acm.org/doi/pdf/10.1145/3687935 V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians]
# RINGS Part 1 - Xinyu
====3. LLM-driven applications - Bairong Liu "10:10-10:50"====
# RINGS Part 2 - Jiajun
[ICSE'25] [https://arxiv.org/abs/2411.01063 InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation]
# Lemon testbed - Pengfei
[Arxiv] [https://arxiv.org/abs/2503.05346 AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications]
# Tracking - Jiahui
====4. Inference Optimization - Ruizheng Zhang "10:50-11:20"====
# DT - Kun Wang
[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]

Revision as of 15:10, 26 August 2025

Note  Paper carnival 2025, Time: 2025-8-27 ~ 2024-8-28, Location: A518; Reading list can be found here.

Day 1

Opening 9:00-9:20

1. Remarks for New Semester - Zhiwei Zhao "9:00-9:20"

System Track

1. LLM Cache Optimization - Qinyong Li "9:20-10:00"

2. Video Analytics - Xinyan Wang "10:00-10:40"

3. Disaggregated OS - Haifeng Huang "10:40-11:20"

4. Code Generation - Youwei Ran "11:40-12:10"

Network Track 14:00-17:00

1. ML in LoRa Reception - Kai Chen"14:00-14:40"

2. Quantum network - Yaliang "14:40-15:20"

3. V2V Networks - Zhenguo Bi "14:30-15:10"

4. Lora - Mengyu "15:10-16:00"

5. Offloading - Yi Zhou "16:00-16:30"

6.UAV - Jiahao He "16:30-17:00"

Day 2

Track 9:00-10:00

1.Volume Video- Mengfan Wang "9:00-9:30"

2.Volume Video- Jiyi Wu "9:30-10:10"

3. LLM-driven applications - Bairong Liu "10:10-10:50"

[ICSE'25] InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation [Arxiv] AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications

4. Inference Optimization - Ruizheng Zhang "10:50-11:20"

[INFOCOM'25] DUNE: Distributed Inference in the User Plane

5. Edge LLM - Junzhe Guan "11:20-11:50"

[INFOCOM'25] TensAllo: Adaptive Deployment of LLMs on Resource-Constrained Heterogeneous Edge Devices

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