In-memory grid files on graphics processors. - Ke Yang; Bingsheng He; Rui Fang; Mian Lu; Naga K. Govindaraju; Qiong Luo 001; Pedro V. Sander; Jiaoying Shi (DaMoN, 2007)

GPUQP: query co-processing using graphics processors. - Rui Fang; Bingsheng He; Mian Lu; Ke Yang; Naga K. Govindaraju; Qiong Luo 001; Pedro V. Sander (SIGMOD Conference, 2007)

Relational joins on graphics processors. - Bingsheng He; Ke Yang; Rui Fang; Mian Lu; Naga K. Govindaraju; Qiong Luo 001; Pedro V. Sander (SIGMOD Conference, 2008)

Frequent itemset mining on graphics processors. - Wenbin Fang; Mian Lu; Xiangye Xiao; Bingsheng He; Qiong Luo 001 (DaMoN, 2009)

Relational query coprocessing on graphics processors. - Bingsheng He; Mian Lu; Ke Yang; Rui Fang; Naga K. Govindaraju; Qiong Luo 001; Pedro V. Sander (ACM Trans. Database Syst., 2009)

Supporting extended precision on graphics processors. - Mian Lu; Bingsheng He; Qiong Luo 001 (DaMoN, 2010)

GSNP: A DNA Single-Nucleotide Polymorphism Detection System with GPU Acceleration. - Mian Lu; Jiuxin Zhao; Qiong Luo 001; Bingqiang Wang; Shaohua Fu; Zhe Lin 004 (ICPP, 2011)

Accelerating minor allele frequency computation with graphics processors. - Mian Lu; Jiuxin Zhao; Qiong Luo 001; Bingqiang Wang (BigMine, 2012)

Integrating GPU-Accelerated Sequence Alignment and SNP Detection for Genome Resequencing Analysis. - Mian Lu; Yuwei Tan; Jiuxin Zhao; Ge Bai; Qiong Luo 001 (SSDBM, 2012)

High-performance short sequence alignment with GPU acceleration. - Mian Lu; Yuwei Tan; Ge Bai; Qiong Luo 001 (Distributed Parallel Databases, 2012)

Accelerating Topic Model Training on a Single Machine. - Mian Lu; Ge Bai; Qiong Luo 001; Jie Tang 001; Jiuxin Zhao (APWeb, 2013)

GPU-Accelerated Bidirected De Bruijn Graph Construction for Genome Assembly. - Mian Lu; Qiong Luo 001; Bingqiang Wang; Junkai Wu; Jiuxin Zhao (APWeb, 2013)

GPU-accelerated adaptive compression framework for genomics data. - GuiXin Guo; Shuang Qiu; Zhiqiang Ye; Bingqiang Wang; Lin Fang; Mian Lu; Simon See; Rui Mao 001 (IEEE BigData, 2013)

Optimizing the MapReduce framework on Intel Xeon Phi coprocessor. - Mian Lu; Lei Zhang 005; Huynh Phung Huynh; Zhongliang Ong; Yun Liang 001; Bingsheng He; Rick Siow Mong Goh; Richard Huynh (IEEE BigData, 2013)

Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture. - Jiong He; Mian Lu; Bingsheng He (Proc. VLDB Endow., 2013)

OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures. - Shuhao Zhang 001; Jiong He; Bingsheng He; Mian Lu (Proc. VLDB Endow., 2013)

Improving GPGPU energy-efficiency through concurrent kernel execution and DVFS. - Qing Jiao; Mian Lu; Huynh Phung Huynh; Tulika Mitra (CGO, 2015)

Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi. - Wai Teng Tang; Ruizhe Zhao; Mian Lu; Yun Liang 001; Huynh Phung Huyng; Xibai Li; Rick Siow Mong Goh (CGO, 2015)

Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach. - Saurabh Jha; Bingsheng He; Mian Lu; Xuntao Cheng; Huynh Phung Huynh (Proc. VLDB Endow., 2015)

MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors. - Mian Lu; Yun Liang 001; Huynh Phung Huynh; Zhongliang Ong; Bingsheng He; Rick Siow Mong Goh (IEEE Trans. Parallel Distributed Syst., 2015)

Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor. - Xuntao Cheng; Bingsheng He; Mian Lu; Chiew Tong Lau; Huynh Phung Huynh; Rick Siow Mong Goh (SIGMOD Conference, 2016)

Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. - Yun Liang 001; Wai Teng Tang; Ruizhe Zhao; Mian Lu; Huynh Phung Huynh; Rick Siow Mong Goh (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Many-core needs fine-grained scheduling: A case study of query processing on Intel Xeon Phi processors. - Xuntao Cheng; Bingsheng He; Mian Lu; Chiew Tong Lau (J. Parallel Distributed Comput., 2018)

Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs. - Xinfeng Xie; Dayou Du; Qian Li 027; Yun Liang 001; Wai Teng Tang; Zhongliang Ong; Mian Lu; Huynh Phung Huynh; Rick Siow Mong Goh (ACM Trans. Embed. Comput. Syst., 2018)

Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. - Cheng Chen 008; Jun Yang 022; Mian Lu; Taize Wang; Zhao Zheng; Yuqiang Chen; Wenyuan Dai; Bingsheng He; Weng-Fai Wong; Guoan Wu; Yuping Zhao; Andy Rudoff (Proc. VLDB Endow., 2021)

A System for Time Series Feature Extraction in Federated Learning. - Siqi Wang; Jiashu Li; Mian Lu; Zhao Zheng; Yuqiang Chen; Bingsheng He (CIKM, 2022)

A Framework for Fast Polarity Labelling of Massive Data Streams. - Huilin Wu; Mian Lu; Zhao Zheng; Shuhao Zhang 001 (CoRR, 2022)

OpenEmbedding: A Distributed Parameter Server for Deep Learning Recommendation Models using Persistent Memory. - Cheng Chen 008; Yilin Wang; Jun Yang 022; Yiming Liu; Mian Lu; Zhao Zheng; Bingsheng He; Weng-Fai Wong; Liang You; Penghao Sun; Yuping Zhao; Fenghua Hu; et al. (ICDE, 2023)

Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB. - Hao Zhang 029; Xianzhi Zeng; Shuhao Zhang 001; Xinyi Liu; Mian Lu; Zhao Zheng (ICDE, 2023)

FEBench: A Benchmark for Real-Time Relational Data Feature Extraction. - Xuanhe Zhou; Cheng Chen 008; Kunyi Li; Bingsheng He; Mian Lu; Qiaosheng Liu; Wei Huang; Guoliang Li 001; Zhao Zheng; Yuqiang Chen (Proc. VLDB Endow., 2023)

Principles and Practices of Real-Time Feature Computing Platforms for ML. - Hao Zhang; Jun Yang 022; Cheng Chen 008; Siqi Wang; Jiashu Li; Mian Lu (Commun. ACM, 2023)

Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing. - Wentao Huang; Mo Sha 002; Mian Lu; Yuqiang Chen; Bingsheng He; Kian-Lee Tan (VLDB Workshops, 2024)

PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation. - Xianzhi Zeng; Shuhao Zhang 001; Hongbin Zhong; Hao Zhang 029; Mian Lu; Zhao Zheng; Yuqiang Chen (Proc. ACM Manag. Data, 2024)

OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. - Yiqun Diao; Yutong Yang; Qinbin Li; Bingsheng He; Mian Lu (Proc. VLDB Endow., 2024)

OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML. - Xuanhe Zhou; Wei Zhou; Liguo Qi; Hao Zhang 098; Dihao Chen; Bingsheng He; Mian Lu; Guoliang Li 001; Fan Wu 006; Yuqiang Chen (SIGMOD Conference Companion, 2025)

LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation. - Han Chen; Zicong Jiang; Zining Zhang 001; Bingsheng He; Pingyi Luo; Mian Lu; Yuqiang Chen (CoRR, 2025)

FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform. - Xin Tong; Xuanhe Zhou; Bingsheng He; Guoliang Li 001; Zirui Tang; Wei Zhou; Fan Wu 006; Mian Lu; Yuqiang Chen (CoRR, 2025)