CV
Chenhui Gou's Curriculum Vitae.
Contact Information
| Name | Chenhui Gou |
| Professional Title | PhD Student |
| Chenhui.Gou@monash.edu |
Professional Summary
PhD student at Monash University researching AI Agents, LLMs, VLMs, and Generative AI. Also working with ByteDance Seed Edge.
Experience
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2025 - Research Intern
ByteDance Seed Edge
Research on Agentic and Self-Evolving AI.
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2024 - 2025 Research Intern
ByteDance Seed VLM-BAGEL Group
Supervised by Haoqi Fan
- Researched on Unified Model BAGEL-series
- Researching on VLM
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2023 - 2024 Research Intern
Vision-CAIR Group, KAUST
Supervised by Deyao Zhu and Mohamed Elhoseiny (MiniGPT Group)
- Researched on Large Language-based Multi-modality Models
- Researching on Long Video Understanding
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2022 - 2023 ShenZhen, China
Research Intern
Sensetime Inc
- Researched on Partial Person Re-Identification
- Developed novel transformer-based model for Partial Person Re-Identification
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2022 - 2023 Canberra, Australia
Research Project
Australian National University
Supervised by Dr. Liang Zheng
- Researched plugable general performance improvement module for semantic segmentation
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2022 - 2022 Sydney, Australia
Research Project
University of Technology Sydney
Supervised by Dr. Wenguang Wang
- Researched transformation equivalent and deformable transformer
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2021 - 2022 Beijing, China
Research Intern
Baidu, Vision Technology Department
Supervised by Wuqi Man and Jiang Wang (leader: Jingdong Wang)
- Published RTFormer at NeurIPS 2022 (Spotlight), achieving SOTA accuracy-speed trade-off
- Researched fast and efficient Transformer and hybrid CNN-Transformer models
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2021 - 2021 Beijing, China
Research Intern
NIO Inc, Autonomous Driving
Supervised by Ziwei Chen (leader: Shaoqing Ren)
- Developed end-to-end car lane detection method based on Transformer
- Increased model performance using 2x input image without affecting model size and speed
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2020 - 2021 Beijing, China
Research Intern
Aibee Inc
Supervised by JiangFan Deng, Feng Zhou
- Researched on video completion and object removal
- Optimised code running time from 0.25 fps to 2 fps, deployed in VR indoor map system
Education
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2023 - 2027 Melbourne, Australia
Doctor of Philosophy
Monash University
Data Science and AI
- Supervisors: Hamid Rezatofighi, Jianfei Cai
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2020 - 2023 Canberra, Australia
Master
Australian National University
Machine Learning and Computer Vision
- With COMMENDATION (Best scale)
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2016 - 2020 Beijing, China
B.E.
Beijing University of Posts and Telecommunications (BUPT)
Telecommunications Engineering with Management
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2016 - 2020 London, United Kingdom
Bachelor of Science with Honours
Queen Mary University of London (QMUL)
Engineering
- First Class Honours
Academic Services
Skills
Research Areas (Expert): AI Agents, Large Language Models, Vision-Language Models, Generative AI, Semantic Segmentation, Video Understanding
Deep Learning (Expert): Transformers, CNNs, Diffusion Models, Multimodal Models, Reinforcement Learning
Languages
Chinese : Native speaker
English : Fluent
Interests
AI Research: Agentic AI, Self-Evolving AI, Unified Multimodal Models, Video Understanding, Efficient Models