Xuan Wang

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

2018 · arXiv (Cornell University)

Motivation: State-of-the-art biomedical named entity recognition (BioNER) systems often require handcrafted features specific to each entity type, such as genes, chemicals and diseases. Although recent studies explored using neural network models for BioNER to free …

Securely Outsourcing ID3 Decision Tree in Cloud Computing

2018 · Wireless Communications and Mobile Computing

With the wide application of Internet of Things (IoT), a huge number of data are collected from IoT networks and are required to be processed, such as data mining. Although it is popular to outsource …

Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis

2018 · IEEE Transactions on Computational Biology and Bioinformatics

Epistasis learning, which is aimed at detecting associations between multiple Single Nucleotide Polymorphisms (SNPs) and complex diseases, has gained increasing attention in genome wide association studies. Although much work has been done on mapping the …

A New Structural Template Design of Control Instruction for Semantic Analysis

2019 · CICTP 2019

To solve conflicts attributable to controller error, automatic speech recognition (ASR) and natural language processing (NLP) can be used to extract control instruction for first-time understanding, avoiding potential conflict. The semantic understanding of the control …

Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning

2022 · IEEE Transactions on Neural Networks and Learning Systems

Modeling the interactive relationships of agents is critical to improving the collaborative capability of a multiagent system. Some methods model these by predefined rules. However, due to the nonstationary problem, the interactive relationship changes over …

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews

2022 · IEEE Transactions on Reliability

App reviews are crowdsourcing knowledge of user experience with the apps, providing valuable information for app release planning, such as major bugs to fix and important features to add. There exist prior explorations on app …

Efficient Mixed-Protocol Secure Four-Party Computation with Private Robustness

2022

Secure honest-majority four-party computation (4PC) protocol was proposed for four mutually-distrusting parties to jointly evaluate a complex function on their private inputs with private robustness by cheater identification. This capability has great potential for distributed …

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection

2022 · arXiv (Cornell University)

In recent years, deep learning (DL)-based methods have been widely used in code vulnerability detection. The DL-based methods typically extract structural information from source code, e.g., code structure graph, and adopt neural networks such as …

Digital Intellectual Property Protection System Based on Artificial Intelligence Algorithm

2022

At present, digital intellectual property protection system is generally designed by combining manual management with central organization. In this mode, the system is easily subjected to various attacks, leading to system intrusion or failure. In …

Privacy-Preserving Distributed Machine Learning Made Faster

2023

With the development of machine learning, it is difficult for a single server to process all the data. So machine learning tasks need to be spread across multiple servers, turning the centralized machine learning into …

PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming

2023 · arXiv (Cornell University)

Relation extraction aims to classify the relationships between two entities into pre-defined categories. While previous research has mainly focused on sentence-level relation extraction, recent studies have expanded the scope to document-level relation extraction. Traditional relation …

Research on Smart Mine Equipment Procurement Optimization Based on Simulated Annealing and Quantum Computing

2025 · Highlights in Science Engineering and Technology

With the development of quantum computing, traditional combinatorial optimization problems have found new solving methods. This paper studies the excavator and mining truck matching optimization problem based on the QUBO model, aiming to optimize equipment …

Class-imbalanced domain generalization fault diagnosis for chiller based on simulation data

2025 · Science and Technology for the Built Environment

Domain generalization for chiller fault diagnosis requires balanced data, but automatic shutdowns cause fault data scarcity and class imbalance. We propose a simulation-based method that integrates simulated and real data to address this issue. First, …

Last-Iterate Convergence in Adaptive Regret Minimization for Approximate Extensive-Form Perfect Equilibrium

2025 · arXiv (Cornell University)

The Nash Equilibrium (NE) assumes rational play in imperfect-information Extensive-Form Games (EFGs) but fails to ensure optimal strategies for off-equilibrium branches of the game tree, potentially leading to suboptimal outcomes in practical settings. To address …