Hao Zhang

An AI-Enhanced VR Metaverse for Ethnic Festival Culture Protection and Inheritance

Tingyu Zhu, Jia Liu, Zhe Zhang, Yanan Liu et autres

cn (code pays fourni par la source)

TwoM: A model for joint time–frequency representation and spatial filtering for EEG-based depression recognition

Zhijing Wu, Gaifang Luo, Hao Zhang, Xueke Hu et autres

cn (code pays fourni par la source)

AI-augmented prediction of high-risk PINK1 variants associated with Parkinson’s disease: integrating multilayered bioinformatics, MD simulation, and deep learning

Hafeez Ur Rehman, Dawood Ahmad Warraich, Abdur Rehman, Israr Fatima et autres

cn (code pays fourni par la source)

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness

Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan et autres

cn (code pays fourni par la source)

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling

Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu et autres

cn (code pays fourni par la source)

A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects

Hao Zhang, Mingyue Cheng, Qi Liu, Junzhe Jiang et autres

cn (code pays fourni par la source)

Reverse Modeling in Large Language Models

Sicheng Yu, Xu Yuanchen, Cunxiao Du, Yanying Zhou et autres

Sicheng Yu, Xu Yuanchen, Cunxiao Du, Yanying Zhou, Minghui Qiu, Qianru Sun, Hao Zhang, Jiawei Wu. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers). 2025.

sg, cn, ky (code pays fourni par la source)

EFE-YOLO:A YOLO11n-based Efficient Feature Enhanced Framework for Steel Surface Defect Detection

Yongjian Chen, Yipeng Liao, Jian Chen, Hao Zhang

cn (code pays fourni par la source)

AUCAD: Automated Construction of Alignment Dataset from Log-Related Issues for Enhancing LLM-based Log Generation

Hao Zhang, Dong‐Jun Yu, Lei Zhang, Guoping Rong et autres

Log statements have become an integral part of modern software systems. Prior research efforts have focused on supporting the decisions of placing log statements, such as where/what to log. With the increasing adoption of Large Language Models (LLMs) for code-related tasks such …

Adaptive Hypergraph-Augmented Graph Convolution Network for Skeleton-based Action Recognition

Qi Qin, Yanan Liu, Qianhan Tang, Junhui He et autres

Action recognition is a crucial step in the process of human-computer interaction, especially in virtual reality, where it enables computers to understand and respond to human body movements. Previous work has utilized Graph Convolutional Neural Networks (GCNs) to extract skeletal features which …

cn (code pays fourni par la source)

Multi‐stage image inpainting using improved partial convolutions

Cheng Li, Dan Xu, Hao Zhang

Abstract In recent years, deep learning models have dramatically influenced image inpainting. However, many existing studies still suffer from over‐smoothed or blurred textures when missing regions are large or contain rich visual details. To restore textures at a fine‐grained level, a multi‐stage …

cn (code pays fourni par la source)

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs

Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li et autres

Large language models (LLMs) have shown increasing capability in problem-solving and decision-making, largely based on the step-by-step chain-of-thought reasoning processes. However, evaluating these reasoning abilities has become increasingly challenging. Existing outcome-based benchmarks are beginning to saturate, becoming less effective in tracking meaningful …