Aurick Qiao - RankMe

25 papers A* 5A 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads. ASPLOS (2) Mert Hidayetoglu, Aurick Qiao, Michael Wyatt, Jeff Rasley, Yuxiong He, Samyam Rajbhandari
2026	—	`conf`	TAGQuant: Token-Aware Clustering for Group-Wise Quantization. EACL (Industry Track) Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Zhewei Yao, Yuxiong He
2025	J	`jnl`	Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI. CoRR Samyam Rajbhandari, Mert Hidayetoglu, Aurick Qiao, Ye Wang, Juncheng Yang, Jeff Rasley, Michael Wyatt, Yuxiong He
2025	J	`jnl`	Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences. CoRR Stas Bekman, Samyam Rajbhandari, Michael Wyatt, Jeff Rasley, Tunji Ruwase, Zhewei Yao, Aurick Qiao, Yuxiong He
2025	J	`jnl`	OWL: Overcoming Window Length-Dependence in Speculative Decoding for Long-Context Inputs. CoRR Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Gabriele Oliaro, Ye Wang, Samyam Rajbhandari
2025	—	`conf`	STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning. ACL (1) Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Daniel F. Campos, Zhewei Yao, Yuxiong He
2025	J	`jnl`	Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads. CoRR Mert Hidayetoglu, Aurick Qiao, Michael Wyatt, Jeff Rasley, Yuxiong He, Samyam Rajbhandari
2025	A*	`conf`	SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation. EMNLP Aurick Qiao, Zhewei Yao, Samyam Rajbhandari, Yuxiong He
2025	J	`jnl`	TALE: Token-Adaptive Low-Rank KVCache Approximation with Reconstruction Elimination. Trans. Assoc. Comput. Linguistics Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Daniel F. Campos, Zhewei Yao, Yuxiong He
2024	A*	`conf`	Efficient LLM Scheduling by Learning to Rank. NeurIPS Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang
2024	J	`jnl`	Efficient LLM Scheduling by Learning to Rank. CoRR Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang
2024	J	`jnl`	Efficiently Serving LLM Reasoning Programs with Certaindex. CoRR Yichao Fu, Junda Chen, Siqi Zhu, Zheyu Fu, Zhongdongming Dai, Aurick Qiao, Hao Zhang
2024	J	`jnl`	STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning. CoRR Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Daniel F. Campos, Zhewei Yao, Yuxiong He
2024	J	`jnl`	SuffixDecoding: A Model-Free Approach to Speeding Up Large Language Model Inference. CoRR Gabriele Oliaro, Zhihao Jia, Daniel F. Campos, Aurick Qiao
2024	J	`jnl`	SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation. CoRR Aurick Qiao, Zhewei Yao, Samyam Rajbhandari, Yuxiong He
2023	J	`jnl`	LLM360: Towards Fully Transparent Open-Source LLMs. CoRR 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
2023	A*	`conf`	Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling. SOSP Suhas Jayaram Subramanya, Daiyaan Arfeen, Shouxu Lin, Aurick Qiao, Zhihao Jia, Gregory R. Ganger
2021	—	`—`	Elastic Machine Learning Systems with Co-adaptation. Aurick Qiao
2021	A*	`conf`	Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. OSDI Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
2020	J	`jnl`	Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. CoRR Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
2019	A*	`conf`	Fault Tolerance in Iterative-Convergent Machine Learning. ICML Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric P. Xing
2018	J	`jnl`	Fault Tolerance in Iterative-Convergent Machine Learning. CoRR Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric P. Xing
2018	—	`conf`	Litz: Elastic Framework for High-Performance Distributed Machine Learning. USENIX ATC Aurick Qiao, Abutalib Aghayev, Weiren Yu, Haoyang Chen, Qirong Ho, Garth A. Gibson, Eric P. Xing
2015	—	`conf`	Managed communication and consistency for fast data-parallel iterative analytics. SoCC Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2014	A	`conf`	Multi-Pivot Quicksort: Theory and Experiments. ALENEX Shrinu Kushagra, Alejandro López-Ortiz, Aurick Qiao, J. Ian Munro