Zhongqi Wang

Data Scientist

https://talent.gravityer.com/zhongqi-wang

Third-year Phd Candidate@vipl lab, ICT, UCAS. Focus on AI Safety.

ICT

Key Strengths

Demonstrated proficiency in Python for various data science and machine learning tasks.
Experience with diverse AI/ML projects including multimodal emotion recognition, text sentiment analysis, style transfer, and scheduling algorithms.
Exposure to deep learning concepts (CNNs, adversarial networks) and their application.
Familiarity with Jupyter Notebook for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on academic and personal research in AI/ML, which aligns with an innovative and research-driven culture. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit. The single listed work experience is current and recent, providing limited historical context.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Awesome-Backdoor-on-LMMs

October 22, 2025 – Present

Awesome-Backdoor-on-LMMs is a collection of state-of-the-art, novel, exciting backdoor methods on LMMs (VLPs, TDMs, VLMs, and Agents).

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CCLAP

April 9, 2023 – April 20, 2025

[ICME'23, oral] CCLAP: Controllable Chinese Landscape Painting Generation

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CNN-FPGA

August 26, 2022 – April 29, 2023

基于FPGA的二维卷积识别任务

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Text-sentiment-polarity-judgment

January 11, 2022 – May 7, 2023

基于规则、基于朴素贝叶斯、基于逻辑回归进行文本情感极性分析判断(酒店评论语料)

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BIT-AI-Review

January 4, 2022 – Present

本项目分享了本人在北京理工大学计算机学院人工智能专业的相关课程资料与经验分享。希望对你们有所帮助❤️,如果喜欢的话记得给个star哦🌟

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Chinese-Landscape-Painting-Style-Transfer

November 3, 2021 – November 3, 2022

Chinese Landscape Painting style transfer by adversarial network(中国山水画风格化)

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Photometric-Stereo

October 22, 2021 – November 21, 2021

Term project. A python implementation of the Basic Photometric Stereo Algorithm

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Charla

September 2, 2021 – October 12, 2022

北京理工大学 21年小学期,局域网下的基于socket的即时通讯文件传输聊天软件

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multimodal-emotion-recognition-DEMO

August 10, 2021 – April 2, 2024

A demo for multi-modal emotion recognition.(多模态情感识别demo)

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Simulated-Annealing-Algorithm-for-JSP

July 25, 2021 – August 2, 2021

Term Project. Use Simulated Annealing Algorithm for the basic Job Shop Scheduling Problem (模拟退火解决车间调度问题)

View Project

Key Strengths

Demonstrated proficiency in Python for various data science and machine learning tasks.
Experience with diverse AI/ML projects including multimodal emotion recognition, text sentiment analysis, style transfer, and scheduling algorithms.
Exposure to deep learning concepts (CNNs, adversarial networks) and their application.
Familiarity with Jupyter Notebook for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Zhongqi Wang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit