Xu Wang
11 papers in the PaperMetrix corpus
Papers by this author
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An Event Ontology Description Framework Based on SKOS
2015
Event ontology is a new paradigm for describing event-based knowledge in web, including action, time, place and objects in event. But it lacks a unified language for description of event classes or event individuals. Simple …
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An enhanced hybridized artificial bee colony algorithm for optimization problems
2019 · IAES International Journal of Artificial Intelligence
Artificial bee colony (ABC) algorithm is a popular swarm intelligence based algorithm. Although it has been proven to be competitive to other population-based algorithms, there still exist some problems it cannot solve very well. This …
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Quantum Reinforcement Learning for Multi-Armed Bandits
2022 · 2022 41st Chinese Control Conference (CCC)
This work focuses on the multi-armed bandits (MAB) problem and proposes a quantum reinforcement learning (RL) algorithm for action selection. Existing quantum RL algorithms generally assume that some prior information about the optimal action is …
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CTP: Defending Against Data Poisoning in Attack Traffic Detection Based Deep Neural Networks
2023
Deep learning is extensively employed in attack traffic detection, exhibiting outstanding performance. To enhance model effectiveness, security personnel acquires additional traffic data from public sources for training. However, public source data may not always be …
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HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou
2024 · arXiv (Cornell University)
In this paper, we present the practical problems and the lessons learned at short-video services from Kuaishou. In industry, a widely-used multi-task framework is the Mixture-of-Experts (MoE) paradigm, which always introduces some shared and specific …
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A Personalized MOOC Learning Group and Course Recommendation Method Based on Graph Neural Network and Social Network Analysis
2024 · arXiv (Cornell University)
In order to enhance students' initiative and participation in MOOC learning, this study constructed a multi-level network model based on Social Network Analysis (SNA). The model makes use of data pertaining to nearly 40,000 users …
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PDP-FD: Federated Knowledge Distillation Based on Personalized Differential Privacy
2025
Federated learning (FL) is a privacy-preserving distributed machine learning approach that enables training by exchanging model parameters without uploading local private data. However, the data heterogeneity across clients poses significant challenges in achieving personalized privacy …
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SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
2025 · arXiv (Cornell University)
Discovering regularities from spatiotemporal systems can benefit various scientific and social planning. Current spatiotemporal learners usually train an independent model from a specific source data that leads to limited transferability among sources, where even correlated …
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ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning
2026 · IET Computer Vision
ABSTRACT Cross‐domain few‐shot learning (CD‐FSL) addresses the challenge of few‐shot classification under significant distribution shifts between source and novel target domains. The core difficulty lies in bridging the domain gap. Existing methods primarily mitigate this …
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Retrieval-based neural source code summarization
2020
Source code summarization aims to automatically generate concise summaries of source code in natural language texts, in order to help developers better understand and maintain source code. Traditional work generates a source code summary by …
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A Survey on Evaluation of Large Language Models
2024 · ACM Transactions on Intelligent Systems and Technology
Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, …