Jun Li

Maximum Entropy Model based on Feature Extraction for Sentiment Detection of Text

2016

The rapid development of social media services has facilitated the communication of opinions through online news, blogs, post bar, microblogs/tweets, and so forth. This article concentrates on the mining of emotions evoked by newmaterials. Compared …

Analysis of Characteristics of Ore about Iron Deposit of Da Hong Mountain in Yun Nan Province

2016 · MATEC Web of Conferences

This thesis aims to analyse the deposit characteristics about Da Hong Mountains Iron ore in Yunnan province. The texture and structure, especially the chemical composition, is different in every section of deposit after comparing. Moreover, …

Realization of a Quantum Simulator Based Oracle Machine for Solving Quantum Optimal Control Porblem

2016 · arXiv (Cornell University)

A central challenge in quantum computing is to identify more computational problems for which utilization of quantum resources can offer significant speedup. Here, we propose a hybrid quantum-classical scheme to tackle the quantum optimal control …

Main Content Extraction from Web Pages Based on Node Characteristics

2017 · Journal of Computing Science and Engineering

Main content extraction of web pages is widely used in search engines, web content aggregation and mobile Internet browsing. However, a mass of irrelevant information such as advertisement, irrelevant navigation and trash information is included …

A novel replication consistency maintenance strategy in cloud storage system

2017

The replication is a key technique in cloud storage system to ensure reliability and availability. But in cloud storage system, nodes are heterogeneous and dynamic, and there is a large number of update message in …

Subsystem-based Approach to Scalable Quantum Optimal Control

2019 · arXiv (Cornell University)

The development of quantum control methods is an essential task for emerging quantum technologies. In general, the process of optimizing quantum controls scales very unfavorably in system size due to the exponential growth of the …

Experimental simulation of the four-dimensional Yang-Baxter equation on a spin quantum simulator

2020 · Physical Review A

The Yang-Baxter equation (YBE) has created many applications in the integrable models of the statistical mechanics. It is recently shown that the YBE can be further applied in quantum information processing. Conversely, quantum simulation also …

StateConsisIV: A Privacy-preserving Integrity Verification Method for Cloud Components Based on a Novel State Consistency Feature

2020

Plain proofs (e.g., raw logs, report, etc.) are significant and effective for integrity verification. In our analysis and comparison of existing work, we found most of them did not employ any protection mechanisms on the …

Short-term photovoltaic power prediction based on FVS-KELM method

2020 · Journal of Applied Science and Engineering

ABSTRACT For the highly nonlinear short-term photovoltaic power problems affected by a variety of factors, a novel modeling method FVS-KELM based on feature vectors selection (FVS) algorithm and kernel extreme learning machine (KELM) is proposed. …

Robust Dynamical Decoupling for the Manipulation of a Spin Network via a Single Spin

2021 · arXiv (Cornell University)

High-fidelity control of quantum systems is crucial for quantum information processing, but is often limited by perturbations from the environment and imperfections in the applied control fields. Here, we investigate the combination of dynamical decoupling …

CoDo: Contrastive Learning with Downstream Background Invariance for Detection

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

The prior self-supervised learning researches mainly select image-level instance discrimination as pretext task. It achieves a fantastic classification performance that is comparable to supervised learning methods. However, with degraded transfer performance on downstream tasks such …

Decentralized and Self-Sovereign Identity in the Era of Blockchain: A Survey

2022

With the emergence of concepts such as Metaverse and Web 3.0, digital identity plays a very important role as one of its infrastructures. The traditional digital identity model is no longer suitable for the requirements …

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 …

Sinc‐attention feature extraction for trivial‐event based speaker verification

2023 · Electronics Letters

Abstract Human speech contains trivial events that are non‐subjectively controlled and are limited by physical characteristics. These events are represented by a series of extremely short utterances, such as the ‘hmm’ phrase used for expressing …

SimCLIC: A Simple Framework for Contrastive Learning of Image Classification

2023 · 系统科学与信息学报(英文)

Contrastive learning, a self-supervised learning method, is widely used in image representation learning. The core idea is to close the distance between positive sample pairs and increase the distance between negative sample pairs in the …

Cloud-network resource management based on IDN and ONAP

2023

With the rapid development of 5G, networks are moving towards ubiquity, sharing, and intelligence. Traditional networks suffer from the problem of not being able to schedule routes accurately. The advent of intent-driven network (IDN) has …

Few-shot reasoning-based safe reinforcement learning framework for autonomous robot navigation

2023 · International Journal of Automation and Control

Unsafe explorations in the training phase hinder the practical deployment of reinforcement learning (RL) on autonomous robots. Some safe RL methods use safety constraints from prior or external knowledge to reduce or avoid unsafe explorations, …

Characteristic Analysis of the MS6.0 Ma'erkang Earthquake Sequence on Jun. 10, 2022

2024 · Journal of risk analysis and crisis response

On June 10, 2022, the MS6.0 Ma'erkang earthquake sequence occurred in the Bayan Har block. In this paper, the temporal and spatial distribution and attenuation characteristics of earthquake sequence is analyzed based on the regional …

TF-GAN: Satellite Anomaly Detection via Generative Adversarial Networks and Time–Frequency Spectrum

2024 · IEEE Transactions on Aerospace and Electronic Systems

Anomaly detection for a noncooperative satellite is a fundamental and significant step in space situation awareness. To effectively detect the abnormal state of an on-orbit satellite, this article proposes a novel generative adversarial network with …

Experimental Realization of Criticality-Enhanced Global Quantum Sensing via Non-Equilibrium Dynamics

2025 · arXiv (Cornell University)

Quantum critical systems offer promising advancements in quantum sensing and metrology, yet face limitations like critical slowing down and a restricted criticality-enhanced region. Here, we introduce a critical sensing scheme that mitigate critical slowing down …

Hierarchical Federated Learning for Social Network with Mobility

2025 · arXiv (Cornell University)

Federated Learning (FL) offers a decentralized solution that allows collaborative local model training and global aggregation, thereby protecting data privacy. In conventional FL frameworks, data privacy is typically preserved under the assumption that local data …

Crowdsourcing Framework for Security Testing and Verification of Industrial Cyber-Physical Systems

2025 · Sensors

With the widespread deployment of Industrial Cyber-Physical Systems (ICPS), their inherent vulnerabilities have increasingly exposed them to sophisticated cybersecurity threats. Although existing protective mechanisms can block attacks at runtime, the risk of defense failure remains. …

SSKD: Stepwise Self-Knowledge Distillation for Binary Neural Networks in Keyword Spotting

2026 · Applied Sciences

The hardware power-aware keyword spotting (KWS) implementation requires small memory footprint, low-complex computation, and high accuracy performances. Binary neural networks (BNNs) naturally satisfy these constraints. They quantize both weights and activations to 1-bit. This reduces …

F-DRL: Federated Dynamics Representation Learning for Robust Multi-Task Reinforcement Learning

2026 · Information

Reinforcement learning for robotic manipulation is often limited by poor sample efficiency and unstable training dynamics, challenges that are further amplified in federated settings due to data privacy constraints and task heterogeneity. To address these …

C-DPSS: Channel dual-phase sparsity pruning framework for spiking neural networks

2026 · Neurocomputing

Spiking Neural Networks (SNNs) have emerged as an essential paradigm for brain-inspired computing, achieving superior energy efficiency on neuromorphic hardware. However, as network scale increases, SNNs encounter growing challenges in deployment efficiency. While structured pruning …