Mian Lu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 18

Top Topics

Fully Connected

Relational Data

Top Venues

Proc. VLDB Endow.

Publications

Xianzhi Zeng, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, Yuqiang Chen
PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation. Proc. ACM Manag. Data 2 (1) (2024)
Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. Proc. VLDB Endow. 17 (6) (2024)
Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. CoRR (2023)
Hao Zhang, Jun Yang, Cheng Chen, Siqi Wang, Jiashu Li, Mian Lu
Principles and Practices of Real-Time Feature Computing Platforms for ML. Commun. ACM 66 (7) (2023)
Xuanhe Zhou, Cheng Chen, Kunyi Li, Bingsheng He, Mian Lu, Qiaosheng Liu, Wei Huang, Guoliang Li, Zhao Zheng, Yuqiang Chen
FEBench: A Benchmark for Real-Time Relational Data Feature Extraction. Proc. VLDB Endow. 16 (12) (2023)
Hao Zhang, Xianzhi Zeng, Shuhao Zhang, Xinyi Liu, Mian Lu, Zhao Zheng
Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB. ICDE (2023)
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
OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. ICDE (2023)
Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He
A System for Time Series Feature Extraction in Federated Learning. CIKM (2022)
Huilin Wu, Mian Lu, Zhao Zheng, Shuhao Zhang
A Framework for Fast Polarity Labelling of Massive Data Streams. CoRR (2022)
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
Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. Proc. VLDB Endow. 14 (5) (2021)
Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau
Many-core needs fine-grained scheduling: A case study of query processing on Intel Xeon Phi processors. J. Parallel Distributed Comput. 120 (2018)
Xinfeng Xie, Dayou Du, Qian Li, Yun Liang, Wai Teng Tang, Zhongliang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs. ACM Trans. Embed. Comput. Syst. 17 (2) (2018)
Yun Liang, Wai Teng Tang, Ruizhe Zhao, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (12) (2017)
Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau, Huynh Phung Huynh, Rick Siow Mong Goh
Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor. SIGMOD Conference (2016)
Qing Jiao, Mian Lu, Huynh Phung Huynh, Tulika Mitra
Improving GPGPU energy-efficiency through concurrent kernel execution and DVFS. CGO (2015)
Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh
Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi. CGO (2015)
Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh
Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach. Proc. VLDB Endow. 8 (6) (2015)
Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He, Rick Siow Mong Goh
MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors. IEEE Trans. Parallel Distributed Syst. 26 (11) (2015)
Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh
Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor. CoRR (2013)
Mian Lu, Ge Bai, Qiong Luo, Jie Tang, Jiuxin Zhao
Accelerating Topic Model Training on a Single Machine. APWeb (2013)
Jiong He, Mian Lu, Bingsheng He
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. Proc. VLDB Endow. 6 (10) (2013)
Shuhao Zhang, Jiong He, Bingsheng He, Mian Lu
OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures. Proc. VLDB Endow. 6 (12) (2013)
Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh
Optimizing the MapReduce framework on Intel Xeon Phi coprocessor. IEEE BigData (2013)
Jiong He, Mian Lu, Bingsheng He
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. CoRR (2013)
Mian Lu, Qiong Luo, Bingqiang Wang, Junkai Wu, Jiuxin Zhao
GPU-Accelerated Bidirected De Bruijn Graph Construction for Genome Assembly. APWeb (2013)
GuiXin Guo, Shuang Qiu, Zhiqiang Ye, Bingqiang Wang, Lin Fang, Mian Lu, Simon See, Rui Mao
GPU-accelerated adaptive compression framework for genomics data. IEEE BigData (2013)
Mian Lu, Yuwei Tan, Jiuxin Zhao, Ge Bai, Qiong Luo
Integrating GPU-Accelerated Sequence Alignment and SNP Detection for Genome Resequencing Analysis. SSDBM (2012)
Mian Lu, Jiuxin Zhao, Qiong Luo, Bingqiang Wang
Accelerating minor allele frequency computation with graphics processors. BigMine (2012)
Mian Lu, Yuwei Tan, Ge Bai, Qiong Luo
High-performance short sequence alignment with GPU acceleration. Distributed Parallel Databases 30 (5-6) (2012)
Mian Lu, Jiuxin Zhao, Qiong Luo, Bingqiang Wang, Shaohua Fu, Zhe Lin
GSNP: A DNA Single-Nucleotide Polymorphism Detection System with GPU Acceleration. ICPP (2011)
Mian Lu, Bingsheng He, Qiong Luo
Supporting extended precision on graphics processors. DaMoN (2010)
Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
Relational query coprocessing on graphics processors. ACM Trans. Database Syst. 34 (4) (2009)
Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, Qiong Luo
Frequent itemset mining on graphics processors. DaMoN (2009)
Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
Relational joins on graphics processors. SIGMOD Conference (2008)
Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander
GPUQP: query co-processing using graphics processors. SIGMOD Conference (2007)
Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander, Jiaoying Shi
In-memory grid files on graphics processors. DaMoN (2007)