Zhen Wang

Single photon detector with high polarization sensitivity

2015 · Scientific Reports

Polarization is one of the key parameters of light. Most optical detectors are intensity detectors that are insensitive to the polarization of light. A superconducting nanowire single photon detector (SNSPD) is naturally sensitive to polarization …

Controllable Switching between Superradiant and Subradiant States in a 10-qubit Superconducting Circuit

2020 · Physical Review Letters

Superradiance and subradiance concerning enhanced and inhibited collective radiation of an ensemble of atoms have been a central topic in quantum optics. However, precise generation and control of these states remain challenging. Here we deterministically …

An entanglement-based quantum network based on symmetric dispersive optics quantum key distribution

2019 · arXiv (Cornell University)

Quantum key distribution (QKD) is a crucial technology for information security in the future. Developing simple and efficient ways to establish QKD among multiple users are important to extend the applications of QKD in communication …

Simultaneous Excitation of Two Noninteracting Atoms with Time-Frequency Correlated Photon Pairs in a Superconducting Circuit

2020 · Physical Review Letters

We report the first observation of simultaneous excitation of two noninteracting atoms by a pair of time-frequency correlated photons in a superconducting circuit. The strong coupling regime of this process enables the synthesis of a …

Dynamic threshold strategy optimization for security protection in Internet of Things: An adversarial deep learning‐based game‐theoretical approach

2022 · Concurrency and Computation Practice and Experience

Abstract As mobile communications, the Internet, databases, distributed computing, and other technologies continue to develop, the Internet of Things (IoT) has emerged as prevalent technique. However, attacks on security and sensitive data in IoT occur …

Towards Fine-grained Causal Reasoning and QA

2022 · arXiv (Cornell University)

Understanding causality is key to the success of NLP applications, especially in high-stakes domains. Causality comes in various perspectives such as enable and prevent that, despite their importance, have been largely ignored in the literature. …

QCIR

2022

Due to multiple limitations of quantum computers in the NISQ era, quantum compilation efforts are required to efficiently execute quantum algorithms on NISQ devices Program rewriting based on pattern matching can improve the generalization ability …

Robust Feature-Guided Generative Adversarial Network for Aerial Image Semantic Segmentation against Backdoor Attacks

2023 · Remote Sensing

Profiting from the powerful feature extraction and representation capabilities of deep learning (DL), aerial image semantic segmentation based on deep neural networks (DNNs) has achieved remarkable success in recent years. Nevertheless, the security and robustness …

Designing a Fuzzy Adaptive Neural Network Leveraging a Feature Self-Enhancement Unit and Statistical Selection Methods

2023 · Electronics

In this study, we propose an advanced category of a fuzzy adaptive neural network (FANN) based on a feature self-enhancement unit (FSU) and statistical selection methods (SSMs). Undoubtedly, the raw data contain a large amount …

Entanglement Networks with Fiber-Pigtailed Silicon Nitride Microring

2023

A fully connected entanglement network with four users is experimentally demonstrated by using multi-wavelength energy-time entanglement source with a fiber-pigtailed silicon nitride microring. The entanglement-based quantum key distributions among users are realized with improved performance.

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models

2024 · arXiv (Cornell University)

Generating accurate step-by-step reasoning is essential for Large Language Models (LLMs) to address complex problems and enhance robustness and interpretability. Despite the flux of research on developing advanced reasoning approaches, systematically analyzing the diverse LLMs …

Text Segmentation Algorithm Focused on Corpus Mining for Oilfield Exploration and Development

2024

The professional knowledge of oilfield exploration and development is vast and complex, and manual organization is time-consuming. Inspired by natural language large models and sequential modeling, a long text segmentation algorithm focused on corpus mining …

Less is More: Efficient Model Merging with Binary Task Switch

2024 · arXiv (Cornell University)

As an effective approach to equip models with multi-task capabilities without additional training, model merging has garnered significant attention. However, existing methods face challenges of redundant parameter conflicts and the excessive storage burden of parameters. …

Cooperative Game-based Intelligent Actions Making for Constrained Multi-agent System

2024 · IEEE Transactions on Artificial Intelligence

In this paper, an intelligent action-making model for constrained multi-agent systems (MAS) with cooperative games is proposed. This model aims to prevent system breakdowns triggered by the large number of agents, a prevalent dilemma in …

Research On the Market and Willingness to Pay for Micro Short Drama Based on Machine Learning

2025 · Highlights in Science Engineering and Technology

With the support and promotion of micro short dramas by the state and the continuous improvement of the basic network environment, China's micro short theater continues to develop vigorously. This paper takes residents of Nanchang …

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs

2025

Source detection on graphs has demonstrated high efficacy in identifying rumor origins. Despite advances in machine learning-based methods, many fail to capture intrinsic dynamics of rumor propagation. In this work, we present SourceDetMamba: A Graph-aware …

Aligning Knowledge and Text Embeddings by Entity Descriptions

2015

We study the problem of jointly embedding a knowledge base and a text corpus. The key issue is the alignment model making sure the vectors of entities, relations and words are in the same space. …