JD Cloud Developers (Developer of JD Technology) is a JD Technology Group platform offering technical sharing and communication for AI, cloud computing, IoT and related developers. It publishes JD product technical information, industry content, and tech event news. Embrace technology and partner with developers to envision the future.
Leveraging 3D vision and AIGC, JD Retail’s R&D team converts abundant 2D video assets into high‑quality stereoscopic 3D space videos through a pipeline that includes monocular depth estimation, novel view synthesis, multi‑branch inpainting, and MV‑HEVC encoding, validated by ICME 2025 and a new StereoV1K dataset.
This article explains how moving aggregation logic from in‑memory processing to ClickHouse SQL, synchronizing configuration data, and leveraging ClickHouse ReplacingMergeTree tables with local joins dramatically reduces query latency and memory consumption for large‑scale supply‑chain planning workloads.
This article explains how Spring's caching annotations—@EnableCaching, @Cacheable, @CachePut, and @CacheEvict—work together to simplify cache management, includes Maven dependency setup, configuration class, entity and service code, a full Spring Boot example, test cases, and visual illustrations of cache miss, hit, update, and eviction.
This article explores the challenges of data consistency in RPC timeout scenarios, especially when idempotency fails, and introduces a lightweight mock/spy tool that can dynamically configure mock responses for any method call, helping restore consistency without full transaction support.
This article introduces PCTLM, a pioneering billion‑parameter pure time‑series large model that outperforms existing solutions like GPT4TS across multiple benchmarks, detailing its massive high‑quality dataset, novel patch‑based architecture, and a tailored RLHF framework (TPO) that enhances zero‑shot forecasting accuracy.
This article explains why designing RPC (JSF) interfaces to return HTTP‑like result objects with errorCode, errorMessage, and data defeats the purpose of RPC, and it offers concrete guidelines and Java examples for building clean, exception‑driven RPC APIs.
This article examines various Java string‑replacement techniques—including simple replace, regex, Aho‑Corasick, and custom Trie implementations—by presenting their design, code samples, and detailed performance benchmarks to help developers choose the most efficient solution for large keyword sets.
This article explains why overloading prompts and tools harms AI‑Agent performance, and offers practical modular design, intent‑driven instruction splitting, and efficient context management strategies such as curated function‑call tools and dynamic RAG to reduce token costs, improve response speed, and avoid hallucinations.
JD Finance’s self‑developed Dynamic solution offers a one‑code, cross‑platform framework that runs on iOS, Android, H5 and HarmonyOS, dramatically reducing development effort, improving performance and dynamic updates, while integrating features like high‑performance lists, hot‑reload, and unified APIs for seamless multi‑device deployment.
An in‑depth analysis reveals how misuse of InheritableThreadLocal with shared thread pools can sporadically produce NullPointerExceptions, detailing the root cause, code examples, debugging steps, and best‑practice recommendations to avoid thread‑local contamination in Java backend services.
