Chenran Huang 黄晨冉

Chenran Huang 黄晨冉

Junior Year

Software Engineering,Tongji University

About me

Hello, I am Huangchenran, a junior student at the School of Software Engineering at Tongji University, majoring in Software Engineering.

I intern as a research assistant in Tongji Network and Machine Intelligence Laboratory. I conduct research in the field of edge computing and task offloading and have submitted two papers as the first and second author, respectively. Also, I served as a research assistant at Tongji University's Xlab, where I focused on portrait and audio recognition. Detailed descriptions of my research experiences can be found in the Research Experience section.

My personal introduction includes sections on Research Experience, Selected Awards, and Projects. You can scroll down or use the links above to view them.

Email: hcr@tongji.edu.cn

Download my CV here.

Research Experience

Blockchain-Enabled Collaborative Task Offloading for Zero-Trust Vehicular Fog Computing

Tongji Network and Machine Intelligence Laboratory, first author, submitted to IEEE GLOBECOM

  • Proposed a blockchain-enabled zero-trust vehicular fog computing framework.
  • Proposed a multi-attribute offloading and group-based continuous verification scheme.
  • Experimental simulations show that our scheme reduces latency by 18% and increases throughput by 34%.

A Light-Weight and Modular Simulator for UAV Integrated Vehicular Fog Computing

Tongji Network and Machine Intelligence Laboratory, second author, submitted to IEEE TMC (CCF-A)

  • Developed an air-ground collaborative vehicle fog computing (VFC) simulation platform.
  • Introduced a detailed use case of the platform.
  • The simulation results verify the platform's validity and demonstrate its capability to accurately model and analyze complex interactions in UAV-integrated VFC scenarios.

Digital Identity Verification System Based on Multimodality

Tongji xlab laboratory

  • Integrated video and audio modalities for digital identity verification. Improved the ECAPATDNN model and extracted similarities in the audio.
  • Recognized and extracted faces based on the MTCNN network and extracted similarity vectors about faces based on the Inception-Resnet model.
  • Used CLLR to process audio and video similarity vectors and fuse two modal information respectively.

Selected Awards

Tongji Outstanding Student Model, by Tongji University, 2022-2023 (0.5%, the only recipient among undergraduate at School of Software Engineering, Tongji University in 2023)

China National Scholarship, by Ministry of Education of China, 2022-2023 (0.2%)

National Gold Award of the 13th “Challenge Cup”China University Students Business Plan Competition ("挑战杯"中国大学生创业计划竞赛全国金奖), by Ministry of Education of China, May 2023 (first member, top prize, 0.04%)

National Bronze Award of the 8th “Internet+”Innovation and Entrepreneurship Competition, by Ministry of Education of China , October 2022

“Honorable Mention”of the Mathematical Contest In Modeling, by COMAP, May 2022

Projects

Hospital Appointment System

  • Built a website front-end based on the Vue3 framework to dynamically interact with users.
  • Deployed the back-end database based on MyOracle for front-end and back-end communication.

Emotional Communication Assistant

  • Performed speech emotion recognition with an accuracy of 70%.
  • Android mobile terminal-server architecture, with features of dynamic image interaction, Chinese and English bilingual recognition, and intelligent response generation.

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