Yang Yang
32 papers in the PaperMetrix corpus
Papers by this author
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Entity Matching across Heterogeneous Sources
2015
Given an entity in a source domain, finding its matched entities from another (target) domain is an important task in many applications. Traditionally, the problem was usually addressed by first extracting major keywords corresponding to …
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An Improved Genetic-Based Approach to Task Scheduling in Inter-cloud Environment
2015
With the development of cloud computing, the number of cloud computing service providers has arisen rapidly. The research of task scheduling in cloud computing environment nearly enters a mature stage. But when there is a …
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Trust-enhanced matrix factorization using PageRank for recommender system
2017
As the most widely used recommendation algorithm, collaborative filtering (CF) has been studied for many years due to its simplicity and effectiveness. The two main categories of CF have their own shortcomings. Memory-based CF can't …
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New perfect sequences from Helleseth-Gong sequences
2017
In this paper, for any given prime power q, using Helleseth-Gong sequences with ideal auto-correlation property, we propose a class of perfect sequences of length qm-1/q-1. As an application, a subclass of constructed perfect sequences …
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An Efficient Oblivious Transfer Protocol with Access Control
2018
Due to the rapid development of internet in our daily life, protecting privacy has become a focus of attention. To create privacy-preserving database and prevent illegal user access the database, oblivious transfer with access control …
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Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries.
2019 · arXiv (Cornell University)
Online knowledge libraries refer to the online data warehouses that systematically organize and categorize the knowledge-based information about different kinds of concepts and entities. In the era of big data, the setup of online knowledge …
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Dynamic Tuple Scheduling with Prediction for Data Stream Processing Systems
2019
For data stream processing systems such as Apache Heron, workload imbalance across processing instances often causes significant system performance degradation. To mitigate such issues, Apache Heron leverages a naive throttling-based back-pressure scheme, which may lead …
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Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph
2021 · IEEE Transactions on Knowledge and Data Engineering
Signed link prediction in social networks aims to reveal the underlying relationships (i.e., links) among users (i.e., nodes) given their existing positive and negative interactions observed. Most of the prior efforts are devoted to learning …
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Model-based Performance Evaluation of a Moving Target Defense System
2020
Moving target defense (MTD), emerging as a game-changer in the cyber defense area, has got a lot of attention and development recently. As a proactive defense technique, MTD dynamically changes system attributes in order to …
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A Compressive Integrity Auditing Protocol for Secure Cloud Storage
2021 · IEEE/ACM Transactions on Networking
With the widespread application of cloud storage, ensuring the integrity of user outsourced data catches more and more attention. To remotely check the integrity of cloud storage, plenty of protocols have been proposed, implemented by …
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A Video Copyright Transaction Traceability Method Based on Mother-Child Blockchain
2020
The paper proposes a video copyright transaction traceability method (TTMC) based on the parent-child chain. The video production process records and the video traceability source code records that can uniquely identify the video are recorded …
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Towards Fast and Efficient Algorithm for Learning Bayesian Network
2015 · Acta Scientiarum Naturalium Universitatis Sunyatseni
学习贝叶斯的网络结构是在机器学习的最令人激动的挑战之一。发现一张指导的非循环的图(DAG ) 的一架正确骨骼是为为这个问题的相关性分析算法的基础。就独立(CI ) 测试的高顺序状况的 unreliability 而言，并且到改进一个相关性分析算法的效率，关键步是使用 CI 测试的很少数字并且减少调节集合的尺寸像一样可能。把原因基于这些并且由算法 PC 启发了，我们在场一个算法，说出快、有效的 PC (FEPC ) ，为听说邻近的邻居每个变量。FEPC 由三种订单实现 CI 测试，它显著地减少高顺序 CI 测试。与当前的算法建议相比，实验结果证明 FEPC 与条件独立测试的更少数字和调节集合的更小的尺寸有更好的精确性。CI 测试的最高的减小百分比与 PC 算法相比由 EFPC 是 83.3% 。
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The improved model of estimating global whitecap coverage based on satellite data
2016 · 海洋学报：英文版
白帽队队员 parameterizations 和打破模型的一个统计波浪的利弊被讨论。一个改进模型被联合打破模型的基于卫星的 parameterization 和波浪导出。为一般波浪状态的适当常数被与基于卫星的 parameterization 考虑波浪斜坡和试穿的碎条件获得。结果从 Monahan 基于白帽队队员数据接近常数。与基于卫星的数据和原版作比较为结果建模，改进模型结果与基于卫星的数据和以前的研究一致。从 1998 ～ 2008 平均的白帽队队员范围的全球季节的分布被介绍。白帽队队员范围的空间、季节的特征被分析。
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Critical behavior of quantum Fisher information in finite-size open Dicke model
2022 · AIP Advances
We explore the steady-state critical behavior of the finite-size open Dicke model—a model that incorporates spontaneous emission decay of the collective atomic spin states and decay of the cavity field. From the perspective of quantum …
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Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
2022 · arXiv (Cornell University)
Deep learning has shown its human-level performance in various applications. However, current deep learning models are characterised by catastrophic forgetting of old knowledge when learning new classes. This poses a challenge particularly in intelligent diagnosis …
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Further predictive value of lymphovascular invasion explored via supervised deep learning for lymph node metastases in breast cancer
2022 · Human Pathology
Lymphovascular invasion, specifically lymph-blood vessel invasion (LBVI), is a risk factor for metastases in breast invasive ductal carcinoma (IDC) and is routinely screened using hematoxylin-eosin histopathological images. However, routine reports only describe whether LBVI is …
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PriSign, A Privacy-Preserving Single Sign-On System for Cloud Environments
2023 · Applied Sciences
Anonymous single sign-on systems allow users to use a single credential to access multiple services protected by verifiers without revealing their personal information, which is especially important due to privacy regulations such as GDPR. In …
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Online Knowledge Fusion Method for Fault Diagnosis of Power Plant Equipment
2023
There are many types of documents in fossil-fuel power station to describe equipment failures, including maintenance records, treatment diagnosis suggestions, historical cases, and equipment knowledge. The knowledge of equipment anomaly diagnosis and handling is scattered …
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FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading
2024 · arXiv (Cornell University)
Federated Learning (FL) has emerged as a fundamental learning paradigm to harness massive data scattered at geo-distributed edge devices in a privacy-preserving way. Given the heterogeneous deployment of edge devices, however, their data are usually …
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Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
2024 · arXiv (Cornell University)
Large language models (LLMs) have demonstrated impressive reasoning capabilities, particularly in textual mathematical problem-solving. However, existing open-source image instruction fine-tuning datasets, containing limited question-answer pairs per image, do not fully exploit visual information to enhance …
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CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity
2024
Recently, contrastive learning has begun to gain popularity in multimodal sentiment analysis (MSA).However, most of existing MSA methods based on contrastive learning lacks more detailed learning of the distribution of sample pairs with different sentiment …
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On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
2024 · arXiv (Cornell University)
Heterophily, or the tendency of connected nodes in networks to have different class labels or dissimilar features, has been identified as challenging for many Graph Neural Network (GNN) models. While the challenges of applying GNNs …
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COSMIC: A Galaxy Cluster Finding Algorithm Using Machine Learning
2024 · arXiv (Cornell University)
Building a comprehensive catalog of galaxy clusters is a fundamental task for the studies on the structure formation and galaxy evolution. In this paper, we present COSMIC (Cluster Optical Search using Machine Intelligence in Catalogs), …
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Noninvasive Identification of Breast Cancer HER2 Status by Deep Learning on Multiparametric MRI Images
2024 · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Motivation: Multiparametric magnetic resonance imaging (mpMRI) offers valuable insights for predicting HER2 expression. However, when fusing mpMRI features, redundancy or wastage of information may impact model performance. Goal(s): Our aim was to construct an effective …
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Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
2024 · arXiv (Cornell University)
Recent years have witnessed a thriving growth of computing facilities connected at the network edge, cultivating edge networks as a fundamental infrastructure for supporting miscellaneous intelligent services.Meanwhile, Artificial Intelligence (AI) frontiers have extrapolated to the …
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Comparative Evaluation of Large Reasoning Models and Large Language Models in Radiation Oncology: Performance in Nasopharyngeal Carcinoma-Related Queries (Preprint)
2025
<sec> <title>BACKGROUND</title> Large language models (LLMs), such as ChatGPT-4, have demonstrated potential in supporting medical decision-making but remain limited in scenarios requiring subjective judgment and complex clinical reasoning. Emerging large reasoning models (LRMs), including DeepSeek-R1 …
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PSCon: Product Search Through Conversations
2025
Conversational Product Search ( CPS ) systems interact with users via natural language to offer personalized and context-aware product lists. However, most existing research on CPS is limited to simulated conversations, due to the lack …
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EMWQ: An Efficient Mixed Precision Weight Quantization Method for Large Language Models
2025 · IEEE Transactions on Neural Networks and Learning Systems
Large language models (LLMs) have gained a lot of attention and achievements recently because of their significant comprehension and generative abilities. However, the large-scale parameters of LLMs require considerable computational resources in the training and …
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IEEE AP-S/MTT-S Distinguished Instructor Workshop: Igniting RF and Microwave Education in Young Minds [MGA News]
2025 · IEEE Microwave Magazine
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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Ecointelligence and the future of education: a philosophical framework for human–machine symbiosis
2026 · Journal of Philosophy of Education
Abstract The infiltration of intelligent reasoning systems into human cognition necessitates a paradigm shift in education away from cultivating individual minds and towards constructing ‘distributed ecointelligence’. Grounded in the Extended Mind Theory and evolutionary epistemology, …
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Reinforcement Learning for Relation Classification from Noisy Data
2018 · arXiv (Cornell University)
Existing relation classification methods that rely on distant supervision assume that a bag of sentences mentioning an entity pair are all describing a relation for the entity pair. Such methods, performing classification at the bag …
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Adversarial Category Alignment Network for Cross-domain Sentiment Classification
2019
Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). …