I am an incoming Advanced AI Research Scientist Manager at Accenture, where I will focus on Generative AI and AI agent tools. I recently completed my Computer Science and Engineering Ph.D. at University of California, Santa Cruz, where I was fortunately advised by Prof. James Davis [UCSC VIS Group].

My research interests lie in applying machine learning to computer vision tasks, with expertise in Generative AI, Human-AI teaming, and Auto Dataset Collection. I am passionate about bridging the gap between cutting-edge research and real-world applications, particularly in the development and deployment of AI systems that enhance human capabilities.

Previously, I received my Computer Science Master degree and Computer Science B.S degree from University of California, Santa Cruz.

News

[2025 Summer] [Career] Started as Advanced AI Research Scientist Manager at Accenture, focusing on Generative AI and AI agent tools.

[2025 Spring] [Publication] “Controllable Biophysical Human Faces” accepted to EGSR 2025 (CGF track). (First Author)

[2025 Spring] [Achievement] Successfully defended Ph.D. dissertation and graduated from UC Santa Cruz.

[2024 Winter] [Publication] “Human and AI perceptual differences in image classification errors” accepted to AAAI25 Oral Presentation (4.6% of the 12957 submissions). (First Author) [Pre-record]

[2024 Summer] [Industry] Research intern at Meta at Sausalito, California. (7-month internship)

[2024 Spring] [Mentorship] The undergraduate research team I led won the 2024 DEANS’ CHANCELLOR’S UNDERGRADUATE RESEARCH AWARD. (Less than 3% selection rate)

[2024 Spring] [Award] Selected as a Dissertation-Year Fellowship recipient for 2024-25.

[2023 Summer] [Industry] Research intern at Meta at Sausalito, California.

[2022-2023 academic year] [Mentorship] Co-Instructor for CMPM 118 Collaborative Research Experience in Engineering. Led groups of undergraduate students to conduct research in computer vision and machine learning. (Avatar creation, avatar annotation system, ChatGPT evaluation on Math problem solving)

[2022. 07] [Publication] A first-author paper accepted to ECCV 2022.

[2022. 05] [Publication] A Paper accepted in SIGGRAPH Asia 2022.

[2022. 04] [Publication] A first-author paper accepted to ICPR 2022.

[2021 summer - 2022 Dec] [Industry] Research intern/paper collaboration at ByteDance-CVG. Advised by Jing Liu and Shen Sang.

Conference Review

Reviewer at AAAI 2023, ICLR 2023, CVPR 2023, WWW 2023, NeurIPS 2023, ICCV-CLVL 2023, AAAI 2024, ICLR 2024, ICML 2024, ECCV 2024, CVPR 2024 (DFAD 2024), NeurIPS-dataset 2024, AAAI 2025, ICLR 2025, WWW 2025, CVPR 2025, ICML 2025, KDD 2025, ICCV 2025, SIGGRAPH 2025

Research Interests & Expertise

• Generative AI: Diffusion models, GANs, VAEs, and their applications in computer vision
• Human-AI Teaming: Developing systems that enhance collaboration between humans and AI
• Dataset Construction: Automatic data collection and curation methodologies

Collaboration?

I’m passionate about using AI to solve real-world problems and am always looking for new opportunities to collaborate and innovate. Whether you’re interested in research partnerships, industry applications, or exploring the latest developments in Generative AI, please feel free to reach out to discuss potential collaborations or to learn more about my work.