Difference between revisions of "Resource:Paper Carnival 2025"
From MobiNetS
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* [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 Wu "9:30-10:10"==== | ||
* [TOG'23] [https:// | * [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^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians] | ||
====3. LLM-driven applications - Bairong Liu "10:10-10:50"==== | ====3. LLM-driven applications - Bairong Liu "10:10-10:50"==== | ||
Revision as of 15:12, 26 August 2025
Paper carnival 2025, Time: 2025-8-27 ~ 2024-8-28, Location: A518; 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"
- [Eurosys'25] CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion
- [MobiCom'24] CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
2. Video Analytics - Xinyan Wang "10:00-10:40"
- [ISCA'24] DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
- [NSDI'23] RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
- [MM'23] Edge-Assisted On-Device Model Update for Video Analytics in Adverse Environments
3. Disaggregated OS - Haifeng Huang "10:40-11:20"
- [NSDI'25] Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs
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"
- [ICNP'23] Hi2LoRa: Exploring Highly Dimensional and Highly Accurate Features to Push LoRaWAN Concurrency Limits with Low Implementation Cost
- [SenSys'24] Enhancing LoRa Reception with Generative Models: Channel-Aware Denoising of LoRaPHY Signals
- [ICNP'24] Deepdetangle: Deep Learning-Based Fusion of Chirp-Level and Packet-Level Features for Lora Parallel Decoding
2. Quantum network - Yaliang "14:40-15:20"
- [INFOCOM'22] E2E Fidelity Aware Routing and Purification for Throughput Maximization in Quantum Networks
- [JSAC'24] On Optimum Entanglement Purification Scheduling in Quantum Networks
- [INFOCOM'25] Link Configuration for Fidelity-Constrained Entanglement Routing in Quantum Networks
3. V2V Networks - Zhenguo Bi "14:30-15:10"
- [INFOCOM'25] RoCooper: Robust Cooperative Perception under Vehicle-to-Vehicle Communication Impairments
4. Lora - Mengyu "15:10-16:00"
- [ToN'24] RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking
- [TMC'25] Enhancing Link Performance for Mobile LoRa Networks
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"
- [TOG'23] 3D Gaussian Splatting for Real-Time Radiance Field Rendering
- [TOG'24] V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians
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