Yu Chen

Tunable inductive coupling of superconducting qubits in the strongly nonlinear regime

2017 · Physical Review A

For a variety of superconducting qubits, tunable interactions are achieved through mutual inductive coupling to a coupler circuit containing a nonlinear Josephson element. In this paper, we derive the general interaction mediated by such a …

A radar signal sorting algorithm based on PRI

2019

Based on the PRI transform method, this article has found a radar signal sorting algorithm which aims at sorting those received radar pulse signals and recognizing their classes. Firstly, this method will screen those received …

BIT: A Blockchain Integrated Time Banking System for Community Exchange Economy

2020

Advancements in Artificial Intelligence (AI) and Big Data technologies are reshaping the global economy. The community currency network is receiving more attention through enhancing social ties within a community. As the most popular type of …

Secure and Privacy-Preserving Stored Surveillance Video Sharing atop Permissioned Blockchain

2021

At present, more than a billion closed-circuit television (CCTV) cameras are watching the world. These cameras garner a lot of visual information that is often processed and stored in remote and centralized cloud servers. Multiple …

Relation Extraction Model Based on Keywords Attention (S)

2021 · Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering

Recently, most relational extraction models usually mitigate the adverse effects of noise in sentences for the prediction results, utilizing different tools of natural language processing that to capture high-level features in sentences combined. However, these …

μDFL: A Secure Microchained Decentralized Federated Learning Fabric atop IoT Networks

2021

Federated Learning (FL) has been recognized as a privacy-preserving machine learning (ML) technology that enables collaborative training and learning of a global ML model based on the aggregation of distributed local model updates. However, security …

A Randomized Switched-Mode Voltage Regulation System for IoT Edge Devices to Defend Against Power Analysis based Side Channel Attacks

2021

The prevalence of Internet of Things (IoT) allows heterogeneous and lightweight smart devices to collaboratively provide services with or without human intervention. With an ever-increasing presence of IoT-based smart applications and their ubiquitous visibility from …

DISOV: Discovering Second-Order Vulnerabilities Based on Web Application Property Graph

2022 · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences

Web application second-order vulnerabilities first inject malicious code into the persistent data stores of the web server and then execute it at later sensitive operations, causing severe impact. Nevertheless, the dynamic features, the complex data …

Graph Neural Networks for Natural Language Processing: A Survey

2023 · Foundations and Trends® in Machine Learning

Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems …

AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

2023 · arXiv (Cornell University)

We propose attribute-aware multimodal entity linking, where the input consists of a mention described with a text paragraph and images, and the goal is to predict the corresponding target entity from a multimodal knowledge base …

MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm

2023 · Frontiers in Neurorobotics

Unmanned Aerial Vehicles (UAVs) have gained popularity due to their low lifecycle cost and minimal human risk, resulting in their widespread use in recent years. In the UAV swarm cooperative decision domain, multi-agent deep reinforcement …

Cross-Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction

2024

Lifelong sequential modeling (LSM) has significantly advanced recommendation systems on social media platforms.Diverging from single-domain LSM, cross-domain LSM involves modeling lifelong behavior sequences from a source domain to a different target domain.In this paper, we …

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

2025 · arXiv (Cornell University)

With the rapid development of large language models, researchers have created increasingly advanced spoken dialogue systems that can naturally converse with humans. However, these systems still struggle to handle the full complexity of real-world conversations, …

The Influence of Government, Enterprises, and the Public on the Security of Cross-border Data Flows and Optimization Strategies: An Information Ontological Perspective

2025 · Lex localis - Journal of Local Self-Government

In the technology-driven era, the rapid advancement of information technologies, particularly artificial intelligence, has led to an increase in both the scale and complexity of data cross-border flows, thereby elevating data security to a global …

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation

2025 · arXiv (Cornell University)

Recently, large language models (LLMs) have been introduced into recommender systems (RSs), either to enhance traditional recommendation models (TRMs) or serve as recommendation backbones. However, existing LLM-based RSs often do not fully exploit the complementary …

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

2019

Yu Chen, Lingfei Wu, Mohammed J. Zaki. 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). 2019.