BestHub
Sign in
Liulishuo Tech Team
Author

Liulishuo Tech Team

Help everyone become a global citizen!

87
Articles
0
Likes
176
Views
0
Comments
Recent Articles

Latest from Liulishuo Tech Team

87 recent articles
Liulishuo Tech Team
Liulishuo Tech Team
Mar 25, 2017 · Artificial Intelligence

Building a Student Model with TensorFlow: Deep Knowledge Tracing for Adaptive Learning

This article reviews how Liulishuo applied TensorFlow to implement a Deep Knowledge Tracing (DKT) student model for an adaptive learning system, covering the problem background, model architecture, TensorFlow implementation details, multi‑GPU training, and practical deployment considerations.

Deep Knowledge TracingRNNStudent Modeling
0 likes · 12 min read
Building a Student Model with TensorFlow: Deep Knowledge Tracing for Adaptive Learning
Liulishuo Tech Team
Liulishuo Tech Team
Mar 10, 2017 · Fundamentals

Understanding HashMap Implementations: A Comparative Analysis of Hash Tables and HAMT

This article explores two fundamental implementations of the HashMap data structure, comparing traditional Hash Tables with Hash Array Mapped Tries (HAMT), while analyzing their collision resolution strategies, hash functions, time and space complexities, and practical applications in modern programming languages like Ruby and functional paradigms.

Data StructuresHAMTHashMap
0 likes · 12 min read
Understanding HashMap Implementations: A Comparative Analysis of Hash Tables and HAMT
Liulishuo Tech Team
Liulishuo Tech Team
Jan 24, 2017 · Frontend Development

Engineering Practices and Tooling for Frontend Development at Liulishuo (2016‑2017)

The article reviews Liulishuo's 2016 engineering experiments, covering their base library choices, componentization for consumer apps and internal tools, mock data generation, unit testing, error monitoring with Sentry, deployment using shipit‑deploy, and outlines goals for improving performance, testing coverage, and robustness in the coming year.

Component Librarydeploymenterror-monitoring
0 likes · 10 min read
Engineering Practices and Tooling for Frontend Development at Liulishuo (2016‑2017)
Liulishuo Tech Team
Liulishuo Tech Team
Dec 31, 2016 · Cloud Native

Designing Scalable and Reliable Backend Services at English Fluently: Architecture, Service Discovery, Monitoring, and Autoscaling

This article shares the engineering team’s experience of building a high‑growth, reliable backend for English Fluently, covering inter‑service communication with gRPC, service discovery, Docker‑based deployment, health‑checking, monitoring, autoscaling, Kubernetes orchestration, and multi‑cell availability strategies.

DockerKubernetesMonitoring
0 likes · 10 min read
Designing Scalable and Reliable Backend Services at English Fluently: Architecture, Service Discovery, Monitoring, and Autoscaling
Liulishuo Tech Team
Liulishuo Tech Team
Dec 16, 2016 · Cloud Computing

Key Takeaways from AWS re:Invent 2016: New Services, Data Architecture, and Operational Insights

The article shares a comprehensive recap of AWS re:Invent 2016, highlighting over a thousand new features across compute, storage, networking, security and tools, discussing serverless concepts, the Modern Data Architecture framework, and practical lessons learned by the English‑Fluent‑Talk engineering team.

AWScloud computingdata architecture
0 likes · 11 min read
Key Takeaways from AWS re:Invent 2016: New Services, Data Architecture, and Operational Insights
Liulishuo Tech Team
Liulishuo Tech Team
Dec 2, 2016 · Product Management

Estimating Daily Active Users (DAU) Using New Users and Retention Modeling

This article explains how to estimate future daily active users (DAU) for an app by modeling the accumulation of new users and their retention decay, addressing challenges of changing historical retention rates and proposing a combined approach using recent averages and curve‑fitted functions to predict long‑term user activity.

DAUforecastingproduct analytics
0 likes · 9 min read
Estimating Daily Active Users (DAU) Using New Users and Retention Modeling
Liulishuo Tech Team
Liulishuo Tech Team
Oct 17, 2016 · Big Data

Practical Tips and Common Pitfalls for Tuning Apache Spark Performance

This article shares hands‑on experience from Spark Summit attendees, covering why Spark is powerful, common performance problems such as slow jobs, OOM, data skew, excessive partitions, and provides concrete tuning advice on executors, cores, memory, and debugging techniques.

Apache SparkData SkewExecutor Configuration
0 likes · 11 min read
Practical Tips and Common Pitfalls for Tuning Apache Spark Performance
Liulishuo Tech Team
Liulishuo Tech Team
Sep 24, 2016 · Backend Development

Developing Custom Presto SQL Functions (UDF) with Java Plugins

This tutorial explains how to create, register, and deploy custom scalar, aggregation, and window functions for the Presto distributed query engine using Java annotations, the Presto plugin mechanism, and code examples that illustrate UDF development, plugin packaging, and state handling for aggregation functions.

JavaPrestoSQL
0 likes · 11 min read
Developing Custom Presto SQL Functions (UDF) with Java Plugins
Liulishuo Tech Team
Liulishuo Tech Team
Sep 3, 2016 · Artificial Intelligence

Optimizing Deep Neural Network Inference for Offline Speech Evaluation on Mobile Devices

This article describes how the English fluency app leverages deep neural network (DNN) models for real‑time speech scoring on smartphones, detailing offline inference challenges, BLAS‑based matrix‑vector optimizations, sparsity exploitation, cache‑friendly implementations, fixed‑point and NEON acceleration, as well as model compression techniques to improve accuracy and latency.

BLASDNN optimizationmatrix multiplication
0 likes · 11 min read
Optimizing Deep Neural Network Inference for Offline Speech Evaluation on Mobile Devices