Bo Liu

A Security Real-time Privacy Amplification Scheme in QKD System

2020 · Zenodo (CERN European Organization for Nuclear Research)

Quantum Key Distribution (QKD) technology, based on the laws of physics, can create unconditional security keys between communication parties. In recent years, researchers draw more and more attention to the QKD technology. Privacy amplification is …

Multi-View Action Recognition Method Based on Regularized Extreme Learning Machine

2017

In order to overcome the limitations of a single view of action recognition by using multi-view information, this paper proposes a novel method of multi-view human action recognition. The main steps involved in the process …

Key nodes mining of root network and phoneme network of modern Chinese characters

2018 · Journal of Physics Conference Series

Roots and phonemes are two important ingredients ( but not independent ones) when learning the Chinese language. In order to optimize the learning strategy, various key nodes mining algorithms are implemented both in the root …

A universal compression strategy using sorting transformation

2019 · International Journal of Computational Science and Engineering

Although traditional universal compression algorithms can effectively utilise repetition located in a slide window, they cannot take their own advantages for some message source in which similar messages are distributed uniformly. In this paper, we …

A trusted-node-free eight-user metropolitan quantum communication network

2020 · Conference on Lasers and Electro-Optics

Complex quantum networks are vital for quantum technologies. Entanglement based networks are the most versatile in terms of supported applications (including beyond just quantum communication). Here we present an 8 user city wide entanglement network.

Variance-Reduced Off-Policy Memory-Efficient Policy Search

2020 · arXiv (Cornell University)

Off-policy policy optimization is a challenging problem in reinforcement learning (RL). The algorithms designed for this problem often suffer from high variance in their estimators, which results in poor sample efficiency, and have issues with …

Design and Implementation of a Low-cost AES Coprocessor Based on eSTT-MRAM IP

2020

In order to insure the security of message transmission between resource-constrained Internet of Things (IoT) devices, a low-cost hardware implementation of Advanced Encryption Standard (AES) coprocessor based on eSTT-MRAM (embedded spin-torque transfer magnetic random access …

Sentiment-Aware Emoji Insertion Via Sequence Tagging

2021 · IEEE Multimedia

Due to the booming popularity of online social networks, emojis have been widely used in online communication. As nonverbal language units, emojis help to convey emotions and express feelings. In this article, we focus on …

Specific Emitter Identification via Variational Mode Decomposition and Histogram of Oriented Gradient

2021

Specific emitter identification (SEI) is a physical-layer-based approach for enhancing wireless communication network security. A well-done SEI method can be widely applied in identifying the individual wireless communication device. In this paper, we propose a …

Research on Teaching Design and Implementation Strategy of Sergeant Education Based on Smart Classroom

2021 · 2021 International Conference on Education, Information Management and Service Science (EIMSS)

Aiming at the problems of traditional sergeant education teaching content, single teaching mode, and inaccurate assessment, the teaching design and implementation strategy of using “Internet +” technology to build a smart classroom combined with sergeant …

Domain-level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification

2022 · arXiv (Cornell University)

Aspect-based sentiment classification (ABSC) is a very challenging subtask of sentiment analysis (SA) and suffers badly from the class-imbalance. Existing methods only process sentences independently, without considering the domain-level relationship between sentences, and fail to …

An Iterative Co-Training Transductive Framework for Zero Shot Learning

2022 · arXiv (Cornell University)

In zero-shot learning (ZSL) community, it is generally recognized that transductive learning performs better than inductive one as the unseen-class samples are also used in its training stage. How to generate pseudo labels for unseen-class …

A Data-driven AC Optimal Power Flow Using Extreme Learning Machine

2023 · Journal of Physics Conference Series

Abstract With the increasing integration of renewable energy (RE), AC Optimal Power Flow (AC OPF) becomes a necessary foundation for electricity system which has a high level of renewable energy generation. However, most current studies …

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

2023 · arXiv (Cornell University)

Large language models (LLMs) have demonstrated remarkable zero-shot generalization abilities: state-of-the-art chatbots can provide plausible answers to many common questions that arise in daily life. However, so far, LLMs cannot reliably solve long-horizon planning problems. …

Secure semantic optical communication scheme based on the multi-head attention mechanism

2023 · Optics Letters

In this paper, an artificial-intelligence-based secure semantic optical communication scheme is proposed. The semantic features of the original text information are extracted using Transformer. Compared with other networks, Transformer reduces the complexity of the structure …

Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning

2025 · arXiv (Cornell University)

Duplication is a prevalent issue within datasets. Existing research has demonstrated that the presence of duplicated data in training datasets can significantly influence both model performance and data privacy. However, the impact of data duplication …

Research on Interpretable Recommendation Methods for Civil Aviation Ancillary Services

2024

In the modern civil aviation industry, with the escalating market competition and the increasing diversification of airline profit models, revenue from ancillary services has become a key factor for airlines to enhance their overall revenue …

Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis

2025 · arXiv (Cornell University)

Digitizing pathological images into gigapixel Whole Slide Images (WSIs) has opened new avenues for Computational Pathology (CPath). As positive tissue comprises only a small fraction of gigapixel WSIs, existing Multiple Instance Learning (MIL) methods typically …

Efficient FPGA implementation of polar codes-based information reconciliation for quantum key distribution

2025 · Scientific Reports

Quantum key distribution (QKD) leverages the principles of quantum mechanics to generate unconditionally secure keys for remote communication, even in the presence of an eavesdropper with unlimited computational power. A critical component of QKD is …