Mian Lu

43 papers A* 2A 4B 2C 5Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient KV Cache Spillover Management on Memory-Constrained GPU for LLM Inference.
IEEE Trans. Parallel Distributed Syst.
Jiazhi Jiang, Yao Chen, Zining Zhang, Bingsheng He, Pingyi Luo, Mian Lu, Yuqiang Chen, Hongbin Zhang, Jiangsu Du, Dan Huang, Yutong Lu
2026 A conf
Hash Joins Meet CXL: A Fresh Look.
CIDR
Wentao Huang, Mian Lu, Kian-Lee Tan
2025 J jnl
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform.
CoRR
Xin Tong, Xuanhe Zhou, Bingsheng He, Guoliang Li, Zirui Tang, Wei Zhou, Fan Wu, Mian Lu, Yuqiang Chen
2025 J jnl
LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation.
CoRR
Han Chen, Zicong Jiang, Zining Zhang, Bingsheng He, Pingyi Luo, Mian Lu, Yuqiang Chen
2025 — conf
OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML.
SIGMOD Conference Companion
Xuanhe Zhou, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen
2025 J jnl
OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML.
CoRR
Xuanhe Zhou, Wei Zhou, Liguo Qi, Hao Zhang, Dihao Chen, Bingsheng He, Mian Lu, Guoliang Li, Fan Wu, Yuqiang Chen
2024 — conf
Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing.
VLDB Workshops
Wentao Huang, Mo Sha, Mian Lu, Yuqiang Chen, Bingsheng He, Kian-Lee Tan
2024 J jnl
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams.
Proc. VLDB Endow.
Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
2024 J jnl
PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation.
Proc. ACM Manag. Data
Xianzhi Zeng, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, Yuqiang Chen
2023 J jnl
FEBench: A Benchmark for Real-Time Relational Data Feature Extraction.
Proc. VLDB Endow.
Xuanhe Zhou, Cheng Chen, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqiang Chen
2023 J jnl
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams.
CoRR
Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
2023 A* conf
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory.
ICDE
Cheng Chen, Yilin Wang, Jun Yang, Yiming Liu, Mian Lu, Zhao Zheng, Bingsheng He, Weng-Fai Wong, Liang You, Penghao Sun, Yuping Zhao, Fenghua Hu, Andy Rudoff
2023 J jnl
Principles and Practices of Real-Time Feature Computing Platforms for ML.
Commun. ACM
Hao Zhang, Jun Yang, Cheng Chen, Siqi Wang, Jiashu Li, Mian Lu
2023 A* conf
Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB.
ICDE
Hao Zhang, Xianzhi Zeng, Shuhao Zhang, Xinyi Liu, Mian Lu, Zhao Zheng
2022 J jnl
A Framework for Fast Polarity Labelling of Massive Data Streams.
CoRR
Huilin Wu, Mian Lu, Zhao Zheng, Shuhao Zhang
2022 A conf
A System for Time Series Feature Extraction in Federated Learning.
CIKM
Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He
2021 J jnl
Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory.
Proc. VLDB Endow.
Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-Fai Wong, Guoan Wu, Yuping Zhao, Andy Rudoff
2018 J jnl
Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs.
ACM Trans. Embed. Comput. Syst.
Xinfeng Xie, Dayou Du, Qian Li, Yun Liang, Wai Teng Tang, Zhongliang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
2018 J jnl
Many-core needs fine-grained scheduling: A case study of query processing on Intel Xeon Phi processors.
J. Parallel Distributed Comput.
Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau
2017 J jnl
Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yun Liang, Wai Teng Tang, Ruizhe Zhao, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
2016 — conf
Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor.
SIGMOD Conference
Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau, Huynh Phung Huynh, Rick Siow Mong Goh
2015 A conf
Improving GPGPU energy-efficiency through concurrent kernel execution and DVFS.
CGO
Qing Jiao, Mian Lu, Huynh Phung Huynh, Tulika Mitra
2015 J jnl
Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach.
Proc. VLDB Endow.
Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh
2015 J jnl
MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors.
IEEE Trans. Parallel Distributed Syst.
Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He, Rick Siow Mong Goh
2015 A conf
Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi.
CGO
Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh
2013 C conf
Accelerating Topic Model Training on a Single Machine.
APWeb
Mian Lu, Ge Bai, Qiong Luo, Jie Tang, Jiuxin Zhao
2013 C conf
GPU-Accelerated Bidirected De Bruijn Graph Construction for Genome Assembly.
APWeb
Mian Lu, Qiong Luo, Bingqiang Wang, Junkai Wu, Jiuxin Zhao
2013 — conf
GPU-accelerated adaptive compression framework for genomics data.
IEEE BigData
Guixin Guo, Shuang Qiu, Zhiqiang Ye, Bingqiang Wang, Lin Fang, Mian Lu, Simon See, Rui Mao
2013 J jnl
OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures.
Proc. VLDB Endow.
Shuhao Zhang, Jiong He, Bingsheng He, Mian Lu
2013 J jnl
Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor.
CoRR
Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh
2013 — conf
Optimizing the MapReduce framework on Intel Xeon Phi coprocessor.
IEEE BigData
Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh
2013 J jnl
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture.
CoRR
Jiong He, Mian Lu, Bingsheng He
2013 J jnl
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture.
Proc. VLDB Endow.
Jiong He, Mian Lu, Bingsheng He
2012 — conf
Accelerating minor allele frequency computation with graphics processors.
BigMine
Mian Lu, Jiuxin Zhao, Qiong Luo, Bingqiang Wang
2012 J jnl
High-performance short sequence alignment with GPU acceleration.
Distributed Parallel Databases
Mian Lu, Yuwei Tan, Ge Bai, Qiong Luo
2012 B conf
Integrating GPU-Accelerated Sequence Alignment and SNP Detection for Genome Resequencing Analysis.
SSDBM
Mian Lu, Yuwei Tan, Jiuxin Zhao, Ge Bai, Qiong Luo
2011 B conf
GSNP: A DNA Single-Nucleotide Polymorphism Detection System with GPU Acceleration.
ICPP
Mian Lu, Jiuxin Zhao, Qiong Luo, Bingqiang Wang, Shaohua Fu, Zhe Lin
2010 C conf
Supporting extended precision on graphics processors.
DaMoN
Mian Lu, Bingsheng He, Qiong Luo
2009 C conf
Frequent itemset mining on graphics processors.
DaMoN
Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, Qiong Luo
2009 J jnl
Relational query coprocessing on graphics processors.
ACM Trans. Database Syst.
Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
2008 — conf
Relational joins on graphics processors.
SIGMOD Conference
Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
2007 — conf
GPUQP: query co-processing using graphics processors.
SIGMOD Conference
Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
2007 C conf
In-memory grid files on graphics processors.
DaMoN
Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander, Jiaoying Shi