An Cao Email & Phone Number
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An Cao is listed as Machine Learning Engineer at BMO, a company with 58030 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for An Cao.
An Cao previously worked as Machine Learning Associate at Vector Institute and Deep Learning Researcher at Huazhong University Of Science And Technology. An Cao holds Master Of Science - Ms, Applied Computing (Ai) from University Of Toronto.
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About An Cao
I am An Cao, a graduate student of MScAC (AI) at the University of Toronto with a Vector Scholarship in AI. Currently, I am doing my intern at Vector Institute as a Machine Learning Associate on an AI-driven conversational database system with Arima. Our project could generate queries according to the conversation between our AI agent and users, with which we could extract data from the synthetic society.I obtained my bachelor's degree at Huazhong University of Science and Technology in 2024, where my major is software engineering. My GPA at HUST is 3.96/4.0, ranking 3/120, which enabled me to achieve the honor of Outstanding Undergraduate Student for Academic Performance. With a 3-year experience in Deep Learning (DL) and Computer Vision (CV) in the lab, I have participated in several projects and led two projects as the first author. In my first year in the lab, I mainly assisted senior lab members by implementing DL models, refining algorithms, designing software paradigms, and writing research papers. Then, I launched my team and started to carry out my own projects as the leader. My first project is a Text-Driven Zero-Shot Lightweight Image Generation model, which could modify images by text prompts without pretraining. The academic paper of this project, which I authored as the first author, r is accepted by IJCNN2023 as an ORAL presentation. Another project is a High-Performance Image Harmonization model, which is driven by Transformer, Diffusion, and Student-Teacher Structure. I authored a research paper for this project as well, which is accepted by IMAVIS.In the future, I hope to continue working in the field of machine learning, seeking opportunities to make a difference, and contributing to the world.
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An Cao work experience
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Machine Learning Associate
Current- Prototyped the general framework of an AI-driven conversational database, including Schema Linking, Decomposition and Self-Consistency
- Deployed Vector Database and Embedding Model to map database attributes to high-dimenson space to match related keys according to natural language queries
- Designed Intermediate Representation to narrow the gap between natural language and SQL
- Implemented Correction Module to avoid missing or redundant keywords in generated SQL
- Well-organized the Natural-Language-Driven database’s interfaces for its further usage in other application scenarios
Deep Learning Researcher
- Organised a Deep Learning research group as the leader.
- Launched a Deep Learning project about Text-Driven Zero-Shot Image Generation as the project leader.
- Authored a conference paper for this project as the first author, which is accepted by IJCNN2023 as an ORAL presentation.
- Launched a Computer Vision project about Transformer&Diffusion-based Student-Teacher Structure for Image Harmonization as the project leader.
- Authored a Q1 journal paper for this project as the first author, which is accepted by IMAVIS.
- Developed software engineering paradigm for deep learning models development.
Deep Learning Assistant Researcher
- Participated in a projects about Virtual Try On led by senior members of the lab for implementing the Deep Learning models, refining algorithms, and addressing software engineering issues of Deep Learning models.
- Joined in a Deep Learning projects about Semantic Segmentation of Street of senior lab members for modifying the Deep Learning models, deploying the project on cloud servers, and designing software engineering paradigm.
- Improved mathematical capabilities under Prof. Gang Shen's guidance by deriving formula in papers, including Statistics, Linear Algebra and Discrete Mathematics.
- Assisted senior members of the lab on authoring the academic papers for their projects.
Colleagues at BMO
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Scott Cece
Colleague at BmoGreater Toronto Area, Canada, Canada
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Amanda Mccabe
Colleague at BmoBrampton, Ontario, Canada, Canada
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Barry Cheung
Colleague at BmoGreater Calgary Metropolitan Area, Canada
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Ashutosh Bhalla
Colleague at BmoSydney, Nova Scotia, Canada, Canada
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Peter Fragnelli
Colleague at BmoVaughan, Ontario, Canada, Canada
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Cora Gustavson
Colleague at BmoChilliwack, British Columbia, Canada, Canada
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Lindsey Andrews
Colleague at BmoBay Roberts, Newfoundland And Labrador, Canada, Canada
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Kitty Hong
Colleague at BmoGreater Toronto Area, Canada, Canada
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Myriam Frechette
Colleague at BmoLaval, Quebec, Canada, Canada
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Maurice Peters
Colleague at BmoLondon, Ontario, Canada, Canada
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An Cao education
Master Of Science - Ms, Applied Computing (Ai)
Bachelor Of Engineering - Be, Software Engineering, 3.96/4.0
Frequently asked questions about An Cao
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What company does An Cao work for?
An Cao works for BMO.
What is An Cao's role at BMO?
An Cao is listed as Machine Learning Engineer at BMO.
Where is An Cao based?
An Cao is based in Toronto, Ontario, Canada while working with BMO.
What companies has An Cao worked for?
An Cao has worked for Bmo, Vector Institute, and Huazhong University Of Science And Technology.
Who are An Cao's colleagues at BMO?
An Cao's colleagues at BMO include Scott Cece, Amanda Mccabe, Barry Cheung, Ashutosh Bhalla, and Peter Fragnelli.
How can I contact An Cao?
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What schools did An Cao attend?
An Cao holds Master Of Science - Ms, Applied Computing (Ai) from University Of Toronto.
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