Qiang Zhang

Processing geo-dispersed big data in an advanced mapreduce framework

2015 · IEEE Network

Big data has emerged as a new era of information generation and processing. Big data applications are expected to provide a lot of benefits and convenience to our lives. Cloud computing is a popular infrastructure …

Research on the Application of Agricultural Big Data Processing with Hadoop and Spark

2019

Numerous terminal equipment in the agricultural park collect environmental data that affects crop growth every day. Proper analysis of these massive amounts of data can acquire useful information on the status of crop growth. In …

ECENet: Explainable and Context-Enhanced Network for Muti-modal Fact verification

2023

Recently, falsified claims incorporating both text and images have been disseminated more effectively than those containing text alone, raising significant concerns for multi-modal fact verification. Existing research makes contributions to multi-modal feature extraction and interaction, …

Reinforcement Learning with Generalizable Gaussian Splatting

2024 · arXiv (Cornell University)

An excellent representation is crucial for reinforcement learning (RL) performance, especially in vision-based reinforcement learning tasks. The quality of the environment representation directly influences the achievement of the learning task. Previous vision-based RL typically uses …

Reinforcement Learning with Decoupled State Representation for Robot Manipulations

2024 · Neural Processing Letters

Abstract Deep reinforcement learning has significantly advanced robot manipulations by providing an alternative solution for designing control strategies using raw images as direct inputs. While images offer additional environmental information, the end-to-end policy training manner …

Data Augmentation for Technical Standard Relation Extraction

2024

The paper introduces a method for fine-grained relation extraction in grid technology standards, addressing challenges in manual annotation due to complex guidelines and large-scale dataset requirements. Data augmentation techniques, specifically word-level perturbation and sentence template …

DragonRadar: Fuzzing Linux Kernel Deployed in Cloud-Native Environment

2025

Kata Containers is a secure container runtime with lightweight virtual machines and a customized Linux kernel optimized for cloud-native workloads, which is important for cloud-native systems. Fuzzing is a widely-used technique for detecting kernel vulnerability. …

Research on RAG-Based Cognitive Large Language Model Training Method for Power Standard Knowledge

2025 · HighTech and Innovation Journal

Electrical standards encompass complex technical requirements across multiple disciplines, making their management and application a significant challenge that urgently requires efficient solutions. This paper proposes a knowledge graph retrieval-enhanced training method for large language models …

KD-MSA: A Multimodal Implicit Sentiment Analysis Approach Based on KAN and Asymmetric Contribution-Aware Dynamic Fusion

2025 · Symmetry

Implicit emotions are often expressed through implicit and weak clues between modalities due to the lack of explicit emotional feature words, representing a significant challenge for multimodal sentiment analysis. In order to improve implicit emotion …