Rui Pan

According to our database, Rui Pan authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning.

Rui Pan, Yinwei Dai, Zhihao Zhang, Gabriele Oliaro, Zhihao Jia, Ravi Netravali

CoRR, April, 2025

Mowgli: Passively Learned Rate Control for Real-Time Video.

Neil Agarwal, Rui Pan, Francis Y. Yan, Ravi Netravali

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

2024

RAGServe: Fast Quality-Aware RAG Systems with Configuration Adaptation.

Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Ganesh Ananthanarayanan, Ravi Netravali, Junchen Jiang

CoRR, 2024

Marconi: Prefix Caching for the Era of Hybrid LLMs.

Rui Pan, Zhuang Wang, Zhen Jia, Can Karakus, Luca Zancato, Tri Dao, Ravi Netravali, Yida Wang

CoRR, 2024

Optimizing Mixture-of-Experts Inference Time Combining Model Deployment and Communication Scheduling.

Jialong Li, Shreyansh Tripathi, Lakshay Rastogi, Yiming Lei, Rui Pan, Yiting Xia

CoRR, 2024

Tarzan: Passively-Learned Real-Time Rate Control for Video Conferencing.

Neil Agarwal, Rui Pan, Francis Y. Yan, Ravi Netravali

CoRR, 2024

Improving DNN Inference Throughput Using Practical, Per-Input Compute Adaptation.

Anand Padmanabha Iyer, Mingyu Guan, Yinwei Dai, Rui Pan, Swapnil Gandhi, Ravi Netravali

Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving.

Yinwei Dai, Rui Pan, Anand P. Iyer, Kai Li, Ravi Netravali

Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

2023

Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning.

Pengfei Zheng, Rui Pan, Tarannum Khan, Shivaram Venkataraman, Aditya Akella

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022

Efficient flow scheduling in distributed deep learning training with echelon formation.

Rui Pan, Yiming Lei, Jialong Li, Zhiqiang Xie, Binhang Yuan, Yiting Xia

Proceedings of the 21st ACM Workshop on Hot Topics in Networks, 2022