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Latest from JD Tech

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JD Tech

Apr 15, 2025 · Artificial Intelligence

Reliable Advertising Creative Generation and Personalized Recommendation via Multimodal Feedback and Offline Representation

The article presents a series of technical breakthroughs by JD's advertising team that improve the quality and coverage of AI‑generated ad images through a trustworthy multimodal feedback network, introduce a large human‑annotated image dataset, and enhance creative ranking with offline multimodal representations and online architecture optimizations, ultimately achieving more precise and scalable ad personalization.

AIAIGCAdvertising

0 likes · 10 min read

Reliable Advertising Creative Generation and Personalized Recommendation via Multimodal Feedback and Offline Representation

JD Tech

Apr 8, 2025 · Artificial Intelligence

MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Advertising Systems

The article presents MaRCA, a multi‑agent reinforcement learning framework that models user value, compute consumption, and action reward to allocate limited computation resources across the entire advertising recommendation pipeline, achieving higher ad revenue while keeping system load stable under fluctuating traffic and diverse request values.

Load-Aware SchedulingResource Optimizationadvertising systems

0 likes · 16 min read

MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Advertising Systems

JD Tech

Apr 7, 2025 · Artificial Intelligence

Embodied Intelligence: From Data Scarcity to Real-World Robotic Manipulation – JD Explore Academy’s System Architecture and Research Advances

The article outlines JD Explore Academy’s recent embodied‑intelligence research, describing the challenges of data scarcity and precise manipulation, their ROS‑based high‑extensibility system architecture, dual‑arm teleoperation technology, a data‑efficient end‑effector imitation method, and the open JD ManiData dataset that together push robots from lab demos to practical tasks such as coffee‑making.

AIEmbodied IntelligenceROS

0 likes · 7 min read

Embodied Intelligence: From Data Scarcity to Real-World Robotic Manipulation – JD Explore Academy’s System Architecture and Research Advances

JD Tech

Apr 2, 2025 · Frontend Development

Understanding V8 Memory Management: Allocation, Garbage Collection, and Memory Leak Prevention

This article explains how the V8 JavaScript engine manages memory—including allocation, lifecycle, garbage‑collection strategies, common leak patterns, and practical optimization techniques—so developers can prevent browser crashes and improve performance.

Garbage CollectionJavaScriptMemory Leak

0 likes · 14 min read

Understanding V8 Memory Management: Allocation, Garbage Collection, and Memory Leak Prevention

JD Tech

Apr 1, 2025 · Artificial Intelligence

Self‑Isolation Mechanism for Time‑Series Anomaly Detection with Memory Space

This article presents a self‑isolation based streaming anomaly detection framework that combines memory‑space indexing to capture pattern anomalies, long‑term memory, and concept drift in time‑series data, and validates the approach with public benchmarks and real‑world risk‑control scenarios.

Anomaly DetectionTime-seriesconcept drift

0 likes · 24 min read

Self‑Isolation Mechanism for Time‑Series Anomaly Detection with Memory Space

JD Tech

Mar 26, 2025 · Artificial Intelligence

CTR-Driven Advertising Image Generation Using Multimodal Large Language Models (CAIG)

The JD advertising team proposes a CTR‑driven advertising image generation framework (CAIG) that leverages multimodal large language models, a novel reward model, and product‑centric preference optimization to produce ad images with superior click‑through performance, validated by extensive offline and online experiments.

CTR optimizationReward Modeladvertising image generation

0 likes · 10 min read

CTR-Driven Advertising Image Generation Using Multimodal Large Language Models (CAIG)

JD Tech

Mar 24, 2025 · Backend Development

SQL Coloring Plugin for MyBatis: Design, Implementation, and Usage Guide

This article describes a lightweight, non‑intrusive MyBatis plugin that adds identifiable coloring comments to SQL statements—embedding statementId, pFinderId, and optional custom data—to simplify SQL source tracing, improve slow‑SQL analysis, and support SELECT, INSERT, UPDATE, DELETE operations with minimal performance overhead.

MyBatisPerformanceSQL

0 likes · 12 min read

SQL Coloring Plugin for MyBatis: Design, Implementation, and Usage Guide

JD Tech

Mar 19, 2025 · Artificial Intelligence

JD Retail's End‑to‑End AI Engine Compatible with GPU and Domestic NPU: Architecture, Optimization, and Real‑World Applications

This article details JD Retail's AI engine that seamlessly supports both GPU and domestic NPU hardware, describing its heterogeneous cluster architecture, unified training and inference APIs, performance optimizations, extensive model coverage, and multiple production use cases across e‑commerce, logistics, and intelligent assistance.

AI EngineGPUJD Retail

0 likes · 20 min read

JD Retail's End‑to‑End AI Engine Compatible with GPU and Domestic NPU: Architecture, Optimization, and Real‑World Applications

JD Tech

Mar 17, 2025 · Fundamentals

Fundamentals of Map Trajectory Technology and GIS Applications

This article provides a comprehensive overview of map trajectory technology, covering geographic coordinate systems, map projections, GIS software basics, data formats, GPS data processing, real‑time and historical trajectory analysis, and recent advances such as AI‑driven services and cross‑domain integrations.

GISGPSPython

0 likes · 21 min read

Fundamentals of Map Trajectory Technology and GIS Applications

JD Tech

Mar 13, 2025 · Operations

Ensuring Stability of the Double 11 Supply‑Chain Dashboard: Full‑Link Process, Risk Points, and Technical Safeguards

This article details how JD Logistics guarantees the stability of its Double 11 supply‑chain dashboard by mapping the entire data‑flow, identifying risk points across ingestion, processing, storage, service, and monitoring layers, and applying targeted technical and organizational safeguards.

Big DataMonitoringSupply Chain

0 likes · 10 min read

Ensuring Stability of the Double 11 Supply‑Chain Dashboard: Full‑Link Process, Risk Points, and Technical Safeguards