Aurick Qiao

According to our database, Aurick Qiao authored at least 23 papers between 2014 and 2026.

Collaborative distances:

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

2026

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving.

Zhaoyuan Su, Olatunji Ruwase, Karthik Ganesan, Aurick Qiao, Samyam Rajbhandari, Juncheng Yang, Yue Cheng, Yuxiong He

CoRR, May, 2026

TAGQuant: Token-Aware Clustering for Group-Wise Quantization.

Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Zhewei Yao, Yuxiong He

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads.

Mert Hidayetoglu, Aurick Qiao, Michael Wyatt, Jeff Rasley, Yuxiong He, Samyam Rajbhandari

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

OWL: Overcoming Window Length-Dependence in Speculative Decoding for Long-Context Inputs.

Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Gabriele Oliaro, Ye Wang, Samyam Rajbhandari

CoRR, October, 2025

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI.

Samyam Rajbhandari, Mert Hidayetoglu, Aurick Qiao, Ye Wang, Juncheng Yang, Jeff Rasley, Michael Wyatt, Yuxiong He

CoRR, July, 2025

Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences.

Stas Bekman, Samyam Rajbhandari, Michael Wyatt, Jeff Rasley, Tunji Ruwase, Zhewei Yao, Aurick Qiao, Yuxiong He

CoRR, June, 2025

TALE: Token-Adaptive Low-Rank KVCache Approximation with Reconstruction Elimination.

Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Daniel F. Campos, Zhewei Yao, Yuxiong He

Trans. Assoc. Comput. Linguistics, 2025

SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications.

Gabriele Oliaro, Zhihao Jia, Daniel F. Campos, Aurick Qiao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Efficiently Scaling LLM Reasoning Programs with Certaindex.

Yichao Fu, Junda Chen, Siqi Zhu, Zheyu Fu, Zhongdongming Dai, Yonghao Zhuang, Yian Ma, Aurick Qiao, Tajana Simunic Rosing, Ion Stoica, Hao Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation.

Aurick Qiao, Zhewei Yao, Samyam Rajbhandari, Yuxiong He

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning.

Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Daniel F. Campos, Zhewei Yao, Yuxiong He

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Efficiently Serving LLM Reasoning Programs with Certaindex.

Yichao Fu, Junda Chen, Siqi Zhu, Zheyu Fu, Zhongdongming Dai, Aurick Qiao, Hao Zhang

CoRR, 2024

SuffixDecoding: A Model-Free Approach to Speeding Up Large Language Model Inference.

Gabriele Oliaro, Zhihao Jia, Daniel F. Campos, Aurick Qiao

CoRR, 2024

Efficient LLM Scheduling by Learning to Rank.

Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

LLM360: Towards Fully Transparent Open-Source LLMs.

Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing

CoRR, 2023

Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling.

Suhas Jayaram Subramanya, Daiyaan Arfeen, Shouxu Lin, Aurick Qiao, Zhihao Jia, Gregory R. Ganger

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

2021

Elastic Machine Learning Systems with Co-adaptation.

Aurick Qiao

PhD thesis, 2021

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.

Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2020

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.

Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

CoRR, 2020

2019

Fault Tolerance in Iterative-Convergent Machine Learning.

Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric P. Xing

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Litz: Elastic Framework for High-Performance Distributed Machine Learning.

Aurick Qiao, Abutalib Aghayev, Weiren Yu, Haoyang Chen, Qirong Ho, Garth A. Gibson, Eric P. Xing

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

2015

Managed communication and consistency for fast data-parallel iterative analytics.

Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2014

Multi-Pivot Quicksort: Theory and Experiments.

Shrinu Kushagra, Alejandro López-Ortiz, Aurick Qiao, J. Ian Munro

Proceedings of the 2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and Experiments, 2014