😉 About me

I am currently studying for Ph.D degree (successive postgraduate and doctoral programs of study) in the School of Computer Science, Nanjing University of Information Science and Technology (NUIST). I have strong scientific research ability and development ability, master most of the commonly used technologies, and have certain scientific research achievements and development experience.

My research direction is Evolutionary Deep Learning, mainly including Neural architecture search (NAS) and Network Pruning.

📖 Educations

2022.06 - now, School of Computer Science, Nanjing University of Information Science and Technology (NUIST), Ph.D.
2020.09 - 2022.06, School of Computer Science, Nanjing University of Information Science and Technology (NUIST), M.Sc (successive postgraduate and doctoral programs of study).
2016.09 - 2020.06, School of Computer Science, Nanjing University of Information Science and Technology (NUIST), B.S.

🎖 Awards

During the period of Ph.D

2024.10, NUIST Graduate “Puxin” Elite Scholarship (A total of 10 students from the entire school related to integrated circuit engineering are selected.)
2024.10, NUIST “Excellent Scholarship for Graduate Students and Academic Scholarship” 2nd prize (2/8，<5%)
2023.12 2022-2023 Graduate “Qi’anxin Scholarship”
2023.12, NUIST “Merit Graduate Student”
2023.11, NUIST “Excellent Scholarship for Graduate Students and Academic Scholarship” 1st prize (1/8，<5%)
2022.11, NUIST “Scholarship for Outstanding freshmen and academic scholarship” 2nd prize

During the period of M.Sc

2021.12, NUIST “Excellent Scholarship for Graduate Students and Academic Scholarship” 1st prize (3/68, <5%)
2021.12, NUIST “Merit Graduate Student”
2020.12, NUIST “Scholarship for Outstanding freshmen and academic scholarship” 2nd prize

During the period of B.Eng

2020.06, NUIST “Outstanding Graduate”
2016.09 ~ 2020.06, “Merit Student” at College level once and at University level once.
2016.09 ~ 2020.06, Academic Scholarships of University for many times.
2018.04, 9th “Lanqiao Cup Provincial C/C++ Program Design Group B” 2nd prize.
2017.11, NUIST 8th Programming Competition 3rd prize.

📝 Scientific Achievements (Updated on 2025/5/14)

Under review/revision

📜 Paper: Pengcheng Jiang, Yu Xue. A Siamese Graph Neural Network Surrogate Assisted Efficient Evolutionary Neural Architecture Search. (Writing)
📜 Paper: Pengcheng Jiang, Yu Xue. Evolutionary Neural Architecture Search Based on Pairwise Surrogate Model with Architecture Augmentation[J]. IEEE Transactions on Industrial Informatics. (Submited on May. 13, 2025)
📜 Paper: Yu Xue(Supervisor), Pengcheng Jiang, Zhenman Zhang, Mengchu Zhou. Neural architecture search based on a surrogate model with similarity measurement[J]. IEEE Transactions on Cybernetics. (R4 Submited on Mar. 21, 2025)
📜 Paper: Pengcheng Jiang, Yu Xue, Ferrante Neri, Yong Zhang, Dunwei Gong. Rank surrogate-assisted dual-level evolutionary multi-objective neural architecture search[J]. IEEE Transactions on Cybernetics. (Submited on Mar. 19, 2025)
📜 Paper: Yu Xue, Chenchen Zhu, Pengcheng Jiang. A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search[J]. IEEE Transactions on Neural Networks and Learning Systems. (Submited on Apr. 15, 2025)
📜 论文：Yu Xue, Pengcheng Jiang, Chenchen Zhu, MengChu Zhou, Mohamed Wahib, Moncef Gabbouj. A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism[J]. IEEE Transactions on Systems, Man and Cybernetics: Systems. (R4 Submited on May. 11, 2025) Trans SCI 中科院一区TOP JCR Q1 IF：8.6 CCF-B CAAI-B
📜 Paper: Yixia Zhang, Ferrante Neri, Xilu Wang, Pengcheng Jiang. Evolutionary Channel Pruning for StyleGANs[C]. 28th European Conference on Artificial Intelligence (Submited on Apr. 16, 2025)
📜 Paper: Pengcheng Jiang, Yu Xue, Yandan Xu. Multi-objective self-adaptive PSO for classification in intrusion detection with high-dimensional, unbalanced and cost-sensitive data[J]. Integrated Computer-Aided Engineering. (Submited on May. 14 2025)

Published

📜 Paper: Pengcheng Jiang, Yu Xue, Ferrante Neri. Homogeneous architecture augmentation and confidence prediction for evolutionary neural architecture search[C]. 2025 IEEE Congress on Evolutionary Computation, Accept (Oral). [Download PDF] CAAI-C
📜 Paper: Pengcheng Jiang, Yu Xue, Ferrante Neri. Score predictor-assisted evolutionary neural architecture search[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2025, Early Access. DOI: 10.1109/TETCI.2025.3526179 [Download PDF] CAS Q2 JCR Q1 (2024) IF: 5.3 CAAI-B Cited: 1
📜 Paper: Pengcheng Jiang, Ferrante Neri, Yu Xue, Ujjwal Maulik. A generalised attention mechanism to enhance the accuracy performance of neural networks[J]. International Journal of Neural Systems, 2024, 34(12): 2450063. DOI: 10.1142/S0129065724500631 [Download PDF] CAS Q2 JCR Q1 (2024) IF: 6.6 CAAI-B Cited: 2
📜 Paper (ZH): 蒋鹏程,薛羽.基于排序得分预测的演化神经架构搜索方法[J].计算机学报, 47(11), 2522-2535, 2024. [Download PDF] CCF-A
📜 Paper: Pengcheng Jiang, Yu Xue, Ferrante Neri, Mohamed Wahib. Surrogate-assisted evolutionary neural architecture search with isomorphic training and prediction[C]//2024 International Conference on Intelligent Computing (ICIC). Tianjing, China: Springer Nature, 2024, 14863: 191–203. DOI: 10.1007/978-981-97-5581-3_16 [Download PDF] CCF-C
📜 Paper: Pengcheng Jiang, Yu Xue, Ferrante Neri. Continuously evolving dropout with multi-objective evolutionary optimisation[J]. Engineering Applications of Artificial Intelligence, 2023, 124: 106504. DOI: 10.1016/j.engappai.2023.106504. [Download PDF] CAS Q1 TOP (2023) JCR Q1 IF: 8 CCF-C Cited: 10
📜 Paper: Pengcheng Jiang, Yu Xue, Ferrante Neri. Convolutional neural network pruning based on multi-objective feature map selection for image classification[J]. Applied Soft Computing, 2023: 110229. DOI: 10.1016/10.1016/j.asoc.2023.110229. [Download PDF] CAS Q1 TOP (2023) JCR Q1 IF: 8.7 Cited: 35
📜 Paper: Yu Xue(Supervisor), Pengcheng Jiang, Ferrante Neri, Jiayu Liang. A multi-objective evolutionary approach based on graph-in-graph for neural architecture search of convolutional neural networks[J]. International Journal of Neural Systems, 2021, 31(09): 2150035. DOI: 10.1142/S0129065721500350. [Download PDF] CAS Q2 (2021) JCR Q1 IF: 6.325 Cited: 110
📜 Paper: Pengcheng Jiang, Yu Xue. A distributed secret sharing method with QR code based on information hiding[J]. Journal of Cyber Security, 2021, 3(4): 217-225. DOI: 10.32604/jcs.2021.026022. [Download PDF]
📰 Software (ZH): 安全二维码生成系统V1.0（2021SR0885987）
📜 Paper (ZH): 蒋鹏程,熊礼治,韩啸.一种基于内容保护与优化识别的二维码方案[J].软件导刊,2019,18(02):119-122. [Download PDF] [CNKI Link]
📜 Paper (ZH): 韩啸,熊礼治,蒋鹏程,宋婷婷.一种密文图像安全性评价方案[J].计算机应用与软件,2019(03):148-153. [Download PDF] [CNKI Link]
📑 Patent (ZH): 熊礼治(Supervisor),蒋鹏程,王乐,韩啸,汤琳俪,曹梦琦.一种基于精准定位和安全扫码的共享单车计费方法[P]. CN109242645A,2019-01-18. [Download PDF] [CNKI Link]
📰 Software (ZH): 一种密文图像安全性评价软件V1.0（2019SR0588758）

📌 Services

Served as a reviewer for the following journals:

📙 IEEE Transactions on Neural Networks and Learning Systems IF:10.2
📙 IEEE Transactions on Industrial Informatics IF:11.7
📙 npj Artificial Intelligence
📙 Knowledge-Based Systems IF:7.2
📙 Artificial Intelligence Review IF:10.7
📙 Information Sciences IF:8.1
📙 Scientific Reports IF:3.8
📙 Journal of Supercomputing IF:3.3
📙 PeerJ Computer Science IF:3.8
📙 CMC-Computers Materials & Continua IF:3.1
📙 Knowledge and Information Systems IF:2.7
📙 Neural Processing Letters IF:2.6
📙 Peer-to-Peer Networking and Applications IF:3.3

Served as a session chair for the following conferences:

📃 “Nature-Inspired Intelligent Computing, Optimization and Applications” in 2024 International Conference on Intelligent Computing (ICIC) CCF-C

Served as a reviewer for the following conferences:

📃 7th International Conference on Artificial Intelligence and Security
📃 8th International Conference on Artificial Intelligence and Security
📃 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024)
📃 2024 International Joint Conference on Neural Networks (IEEE IJCNN 2024)

💬 项目经历

2019.04 ~ 2022.12 NSFC-Research on Large scale Feature Selection Based on Adaptive Evolutionary Computing
2024.01 ~ 2027.12 NSFC-Research on multi-objective and multi task evolutionary deep neural networks based on efficient proxy models

🔥 Skills

Scientific research ability

Skilled in Python programming, familiar with most commonly used data analysis libraries, including numpy, pandas, scipy, etc.
Good at Pytorch framework and familiar with PaddlePaddle and Tensorflow framework.
Familiar with Linux and able to write Shell instructions and scripts.
Familiar with deep learning, computer vision, swarm intelligence, etc.
Interests include neural architecture search (NAS) and neural network compression.
Responsible for equipment maintenance and configuration in the team, and once performed high-performance server equipment maintenance for “School of Computer Engineering, Jinling Institute of Technology”. Also responsible for the maintenance of high performance equipment and AI MAX computing platform for “School of Computer Science, NUIST”
Participate in pipeline crack detection project (using object detection, yolo-V5 and faster rcnn)

Development ability

Good at JavaSE and JavaEE programming. Have project experience using SWT, Swing, SSH framework. Familiar with SSM and SpringBoot framework.
Good at Python programming. Having project experience in using Selenium library to crawl data, and experience in using Flask library to develop auxiliary platform based on the original platform API.
Familiar with C#, have project experience using Winform and ASP.NET.
Familiar with Android, skilled in using Android Studio to develop Android software.
Familiar with database technology, can skillfully use relational databases such as SQL Server, MySQL and non-relational databases such as Redis.
Familiar with VS Code, Pycharm, Idea, Visual Studio, MyEclipse/Eclipse, Android Studio and other IDEs.
Have good programming habits and good code rules with design patterns. Familiar with Git and apply it on version control and team collaboration.
Have rich experience in cloud products, once use ECS, lightweight server, domain name resolution, machine translation API, picture recognition API in Aliyun, Tencent Cloud and other platforms.
Proficient in the use of Cloudflare’s WARP Tunnel and other technologies.
Familiar with Docker (Composer, BuilderX), SD-WAN, and other technologies.

💬 Projects

2021.09 ~ Now A hybrid platform based on SDWAN and tunnel forwarding (For self use)

Intro: This project is designed to cater to cross-campus and remote office applications, utilizing Zerotier to establish network routing for research groups across different campuses. It is further complemented by stable tunnel forwarding systems using Frp and Cloudflare Tunnel. Based on this foundation, we deploy services such as Emby, Sharelatex, One-api, and WebDAV with the integration of advanced technologies like Docker and SDWAN. The platform offers a range of functionalities including cross-campus access to large-scale computing resources of the research groups, support for online writing of private LaTeX cloud documents, utilization of the LLM API purchased by the research group with access control, online viewing of meetings and recorded courses, as well as synchronization of software information (incorporating WebDAV capabilities).

2020.01 ~ 2020.04, Elevator PDF order (parameter table) extraction handler (Independently)

Intro: This project is a personal project, from Changzhou XXX Company. The content for the development of a program that allows it to extract the scattered order list from the order of the PDF file format file and detailed information. Then the extrated order fitting parametersare combined with the parameters of the orders with detailed specifications, drawings link.

Intro: This project is an innovative training project for college students, which aims to develop a bike-sharing billing system based on accurate positioning and safe code scanning.

Job: I was the 1st in charge of the team, and my main responsibilities were to reasonably divide the division of labor among the team members, organize the discussion between project members and the instructor, write the main functional code of the App, do the joint investigation of the code, and write and publish the research results.

2018.08, Film data capture and review analysis based on Python and Selenium

Intro: I was the 1st in charge of the team, and my main responsibilities were to reasonably divide the division of labor among the team members, organize the discussion between project members and the instructor, write the main functional code of the App, do the joint investigation of the code, and write and publish the research results.

Job: I am the team leader, and my main responsibility is to reasonably allocate team members, write crawler program and coordinate database code and data statistics code.

2018.12, Student educational administration management system

Intro: The content of this project is to compile an educational administration management system to manage student information, course selection information, student scores and other contents. The project is based on.NET4.0 platform written, is the use of C# language written WinForm program, the database is the use of SQL Server. The project uses MVC structure and some design pattern ideas. The project has the data encryption processing and the data verification, the function is relatively complete, and can ensure the safe and stable operation.

Job: I am the team leader, and my main responsibilities include reasonable division of labor among the team members, making standard requirements for API interfaces and setting standard requirements that follow design patterns. I am responsible for defining each interface, writing code of data access layer and business layer, and conducting joint investigation of the overall program.

蒋鹏程 (Pengcheng Jiang)