Explanipedia

Accelerating Verifiable Queries over Blockchain Database System Using Processing-in-memory Open

Yifan Hua, Shengan Zheng, Weihan Kong, Dongliang Xue, 克巳小西 , et al. · 2025

Blockchain database systems, such as Ethereum and vChain, suffer from limited memory bandwidth and high memory access latency when retrieving user-requested data. Emerging processing-in-memory (PIM) technologies are promising to accelerate…

FusionFS: A Contention-Resilient File System for Persistent CPU Caches Open

Congyong Chen, Shengan Zheng, Yuhang Zhang, Linpeng Huang · 2025

Byte-addressable storage (BAS), such as persistent memory and CXL-SSDs, does not meet system designers’ expectations for data flushing and access granularity. Persistent CPU caches, enabled by recent techniques like Intel’s eADR and CXL’s …

Uncovering Argumentative Flow: A Question-Focus Discourse Structuring Framework Open

Yini Wang, Xian Zhou, Shengan Zheng, Linpeng Huang, Zhunchen Luo , et al. · 2025

Accelerating Regular Path Queries over Graph Database with Processing-in-Memory Open

Ruoyan Ma, Shengan Zheng, Guifeng Wang, Pu Jin, Yifan Hua , et al. · 2024

Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path matching tasks in parallel within PIM modules. We …

DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers Open

Xianglin Yang, Yun Lin, Yifan Zhang, Linpeng Huang, Jin Song Dong , et al. · 2023

A deep classifier is usually trained to (i) learn the numeric representation vector of samples and (ii) classify sample representations with learned classification boundaries. Time-travelling visualization, as an explainable AI technique, …

Differentiable Neural Input Search for Recommender Systems Open

Weiyu Cheng, Yanyan Shen, Linpeng Huang · 2020

Latent factor models are the driving forces of the state-of-the-art recommender systems, with an important insight of vectorizing raw input features into dense embeddings. The dimensions of different feature embeddings are often set to a s…

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions Open

Weiyu Cheng, Yanyan Shen, Linpeng Huang · 2020

Various factorization-based methods have been proposed to leverage second-order, or higher-order cross features for boosting the performance of predictive models. They generally enumerate all the cross features under a predefined maximum o…

Dapper: An Adaptive Manager for Large-Capacity Persistent Memory Open

Dongliang Xue, Linpeng Huang, Chao Li, Chentao Wu · 2020

Smart applications are becoming more data centric, and the need for businesses to quickly manage vast amounts of data continues to challenge today’s computing infrastructure. Nevertheless, main memory systems consisting entirely of dynamic…

IEEE Transactions Open

Dongliang Xue, Linpeng Huang, Chao Li · 2020

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions Open

Weiyu Cheng, Yanyan Shen, Linpeng Huang · 2019

Various factorization-based methods have been proposed to leverage second-order, or higher-order cross features for boosting the performance of predictive models. They generally enumerate all the cross features under a predefined maximum o…

Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis Open

Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu · 2019

Latent factor models (LFMs) such as matrix factorization achieve the\nstate-of-the-art performance among various Collaborative Filtering (CF)\napproaches for recommendation. Despite the high recommendation accuracy of\nLFMs, a critical iss…

Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content Open

Xiaolong Gong, Linpeng Huang, Fuwei Wang · 2019

Real web datasets are often associated with multiple views such as long and short commentaries, users preference and so on. However, with the rapid growth of user generated texts, each view of the dataset has a large feature space and lead…

Revisiting Flow Information for Traffic Prediction Open

Xian Zhou, Yanyan Shen, Linpeng Huang · 2019

Traffic prediction is a fundamental task in many real applications, which aims to predict the future traffic volume in any region of a city. In essence, traffic volume in a region is the aggregation of traffic flows from/to the region. How…

Semantic Weighted Multi-View Clustering for Web Content Open

Xiaolong Gong, Linpeng Huang, Tiancheng Luo, Zhiyi Ma · 2019

Clustering is a long-standing important research problem. However, it remains challenging when handling large-scale web data from different types of information resources such as user profile, comments, user preferences and so on. All thes…

Spindle: A Write-Optimized NVM Cache for Journaling File System Open

Ge Yan, Kaixin Huang, Linpeng Huang · 2019

STEP : A Distributed Multi-threading Framework Towards Efficient Data Analytics Open

Yijie Mei, Yanyan Shen, Yanmin Zhu, Linpeng Huang · 2018

Various general-purpose distributed systems have been proposed to cope with high-diversity applications in the pipeline of Big Data analytics. Most of them provide simple yet effective primitives to simplify distributed programming. While …

Explaining Latent Factor Models for Recommendation with Influence Functions Open

Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang · 2018

Latent factor models (LFMs) such as matrix factorization achieve the state-of-the-art performance among various Collaborative Filtering (CF) approaches for recommendation. Despite the high recommendation accuracy of LFMs, a critical issue …

DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation Open

Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang · 2018

Among various recommendation methods, latent factor models are usually considered to be state-of-the-art techniques, which aim to learn user and item embeddings for predicting user-item preferences. When applying latent factor models to re…

A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations Open

Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang · 2018

Urban air pollution has attracted much attention these years for its adverse impacts on human health. While monitoring stations have been established to collect pollutant statistics, the number of stations is very limited due to the high c…

HAN: Hierarchical Association Network for Computing Semantic Relatedness Open

Xiaolong Gong, Hao Xu, Linpeng Huang · 2018

Measuring semantic relatedness between two words is a significant problem in many areas such as natural language processing. Existing approaches to the semantic relatedness problem mainly adopt the co-occurrence principle and regard two wo…

SCMKV: A Lightweight Log-Structured Key-Value Store on SCM Open

Zhenjie Wang, Linpeng Huang, Yanmin Zhu · 2017

A Novel Method for Spectral Similarity Measure by Fusing Shape and Amplitude Features Open

Jianli Ding, Xuejian Li, Linpeng Huang · 2015

Spectral similarity measure is the basis of spectral information extraction. The description of spectral features is the key \nto spectral similarity measure. To express the spectral shape and amplitude features reasonably, this paper pres…

Experimental Frame Design Using E-DEVSML for Software Quality Evaluation Open

Bei Cao, Linpeng Huang, Jianpeng Hu · 2015

Quality evaluation is a critical aspect in the area of software development.If software quality problems could be found in the early design phase, the cost for software development and maintaining will be reduced.In this paper we propose a…

HMDS: A Novel View of Data System Based on Hybrid Memory Architecture With Non-Volatility Open

Hao Liu, Linpeng Huang · 2015

In now Big Data era, rapidly growing data size and limited computing capability of current computer system have brought sharp contradiction between these two issues.So it is urgent to improve the data storage and processing ability for cur…

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