Jingju Liu

ORCID: 0009-0005-9506-6903
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About
Contact & Profiles
Research Areas
  • Network Security and Intrusion Detection
  • Electrochemical sensors and biosensors
  • Advanced Malware Detection Techniques
  • Advanced Steganography and Watermarking Techniques
  • Information and Cyber Security
  • Chaos-based Image/Signal Encryption
  • Electrochemical Analysis and Applications
  • Supercapacitor Materials and Fabrication
  • Software Testing and Debugging Techniques
  • Topic Modeling
  • Advanced Decision-Making Techniques
  • Conducting polymers and applications
  • Adversarial Robustness in Machine Learning
  • Cryptography and Data Security
  • Analytical Chemistry and Sensors
  • Advanced biosensing and bioanalysis techniques
  • Data Quality and Management
  • Digital Media Forensic Detection
  • Natural Language Processing Techniques
  • Nanoplatforms for cancer theranostics
  • Web Application Security Vulnerabilities
  • Extracellular vesicles in disease
  • Advanced Nanomaterials in Catalysis
  • Anomaly Detection Techniques and Applications
  • Advanced Graph Neural Networks

National University of Defense Technology
2018-2025

Anhui University
2021-2025

Hunan Xiangdian Test Research Institute (China)
2024

Northeast Normal University
2015-2021

Beijing Forestry University
2021

PLA Electronic Engineering Institute
2010-2017

Penetration testing is an effective way to test and evaluate cybersecurity by simulating a cyberattack. However, the traditional methods deeply rely on domain expert knowledge, which requires prohibitive labor time costs. Autonomous penetration more efficient intelligent solve this problem. In paper, we model as Markov decision process problem use reinforcement learning technology for autonomous in large scale networks. We propose improved deep Q-network (DQN) named NDSPI-DQN address sparse...

10.3390/app11198823 article EN cc-by Applied Sciences 2021-09-23

Generally, metal–organic framework (MOF)-derived electrocatalysts are prepared by thermal pyrolysis at high temperatures of around 600–900 °C and in inert atmosphere. Herein we introduce a laser-induced method for preparation MOF-derived Co nanoparticle/nitrogen-doped porous graphene (Co/PNG) room temperature air Through laser scribing method, the organic complex is converted into nitrogen-doped (PNG) meanwhile decomposition linker yields reductive chemical This atmosphere energy local...

10.1021/acssuschemeng.0c01008 article EN ACS Sustainable Chemistry & Engineering 2020-07-21

Green and sustainable electrochemical conversion storage devices possess the nature to repress a negative effect on sustainability during energy storage. However, of devices' components themselves (e.g., raw material abundance, eco-friendliness, recycling) is often ignored, which may damage environment limit practical applicability. Herein, guided by concept sustainability, strategy reported synthesize very cheap single zinc atoms dispersed nitrogen-doped hierarchically porous carbon...

10.1021/acssuschemeng.0c05158 article EN ACS Sustainable Chemistry & Engineering 2020-08-17

Large language models’ domain-specific capabilities can be enhanced through specialized datasets, yet constructing comprehensive cybersecurity datasets remains challenging due to the field’s multidisciplinary nature. We present PenQA, a novel instructional dataset for penetration testing that integrates theoretical and practical knowledge. Leveraging authoritative sources like MITRE ATT&CK™ Metasploit, we employ online large models generate approximately 50,000 question–answer pairs.We...

10.3390/app15042117 article EN cc-by Applied Sciences 2025-02-17

Nowadays the amount of cybersecurity data grows quickly on Internet, however most them are textual unstructured data, which is hard for security analysis to understand in time and not suitable automated systems directly use. The real-time switching information from text sources structured representations can help cyber threat intelligence know situation better. Named Entity Recognition (NER) able convert into data. Recently, a language representation model named Bidirectional Encoder...

10.1109/icbda51983.2021.9403180 article EN 2021-03-05

Further promoting the application of lithium iron phosphate (LFP) requires both a high-rate performance and high volumetric energy density. Nanosizing increased carbon content can improve rate but may decrease Therefore, it is challenging to achieve density excellent simultaneously for LFP. Here, we propose heterogeneous spray-drying method synthesize low-carbon-content hierarchical large microspheres filled with small composed nanosized primary particles. The material was analyzed using...

10.1021/acsanm.4c03240 article EN ACS Applied Nano Materials 2024-07-31

Abstract The development of artificial intelligence technology has advanced by leaps and bounds made significant progress in many areas. Many researchers have begun to apply the cyber security domain. Knowledge graphs can describe concepts, entities their relationships objective world a structured way. Applying knowledge graph domain organize, manage, utilize massive amounts information cyberspace better In this paper, common assessment models shortcomings is summarized, research...

10.1088/1757-899x/768/5/052103 article EN IOP Conference Series Materials Science and Engineering 2020-03-01

Non-flammable electrolyte with superior cathode/anode compatibility is enabled ethoxy (pentafluoro) cyclotriphosphazene additive.

10.1039/d4ra02095b article EN cc-by-nc RSC Advances 2024-01-01
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