Mingqin Li

17 papers A* 3A 2Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A conf
AIMS: Cost-Efficient LLM-Based Agent Deployment in Hybrid Cloud-Edge Environments.
EuroSys
Shiyi Liu, Haiying Shen, Shuai Che, Mahdi Ghandi, Mingqin Li
2025 J jnl
DISTRIBUTEDANN: Efficient Scaling of a Single DISKANN Graph Across Thousands of Computers.
CoRR
Philip Adams, Menghao Li, Shi Zhang, Li Tan, Qi Chen, Mingqin Li, Zengzhong Li, Knut Magne Risvik, Harsha Vardhan Simhadri
2025 J jnl
HERA: Hybrid Edge-cloud Resource Allocation for Cost-Efficient AI Agents.
CoRR
Shiyi Liu, Haiying Shen, Shuai Che, Mahdi Ghandi, Mingqin Li
2025 J jnl
Scalable Distributed Vector Search via Accuracy Preserving Index Construction.
CoRR
Yuming Xu, Qianxi Zhang, Qi Chen, Baotong Lu, Menghao Li, Philip Adams, Mingqin Li, Zengzhong Li, Jing Liu, Cheng Li, Fan Yang
2025 J jnl
VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs.
CoRR
Jingyi Xi, Chenghao Mo, Benjamin Karsin, Artem M. Chirkin, Mingqin Li, Minjia Zhang
2025 J jnl
VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs.
Proc. ACM Manag. Data
Jingyi Xi, Chenghao Mo, Ben Karsin, Artem M. Chirkin, Mingqin Li, Minjia Zhang
2024 — conf
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
WWW (Companion Volume)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 J jnl
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
CoRR
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 — conf
OneSparse: A Unified System for Multi-index Vector Search.
WWW (Companion Volume)
Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
2021 A conf
DUET: A Compiler-Runtime Subgraph Scheduling Approach for Tensor Programs on a Coupled CPU-GPU Architecture.
IPDPS
Minjia Zhang, Zehua Hu, Mingqin Li
2021 A* conf
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation.
ICLR
Minjia Zhang, Menghao Li, Chi Wang, Mingqin Li
2021 J jnl
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search.
CoRR
Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang
2021 A* conf
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search.
NeurIPS
Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang
2020 A* conf
AdaTune: Adaptive Tensor Program Compilation Made Efficient.
NeurIPS
Menghao Li, Minjia Zhang, Chi Wang, Mingqin Li
2019 — conf
Deep Learning Inference Service at Microsoft.
OpML
Jonathan Soifer, Jason Li, Mingqin Li, Jeffrey Zhu, Yingnan Li, Yuxiong He, Elton Zheng, Adi Oltean, Maya Mosyak, Chris Barnes, Thomas Liu, Junhua Wang
2018 — conf
Fast Clustering with Flexible Balance Constraints.
IEEE BigData
Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
2003 — conf
Building a Large Chinese Corpus Annotated with Semantic Dependency.
SIGHAN
Mingqin Li, Juanzi Li, Zhendong Dong, Zuoying Wang, Dajin Lu