Reflection-Aware Neural Radiance Fields
Published by
SIGGRAPH ASIA
Summary
Co-authored a publication on Reflection-Aware Neural Radiance Fields, contributing to advancements in realistic rendering and scene reconstruction.
About
Highly accomplished AI Research & Engineering Leader with a proven track record in developing cutting-edge generative models, 3D vision systems, and large-scale data pipelines. Expert in driving state-of-the-art advancements in image and video generation, 3D reconstruction, and neural fields, with significant contributions to leading industry platforms. Adept at leading research teams and delivering high-impact technical solutions from conception to deployment, poised to excel in advanced AI/ML research and engineering roles.
Work
Microsoft Superintelligence Team
|Member of Technical Staff
Redmond, WA, US
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Summary
Leading the development of agentic capabilities for MAI-Image image generation models, achieving top rankings in competitive leaderboards.
Highlights
Led development of agentic capabilities for MAI-Image imagegen models, securing a top 3 position in the LMArena Leaderboard, trailing only OpenAI's GPT-Image-2 and Deepmind's NanoBanana 2.
Contributed to advancing the state-of-the-art in agentic image generation, demonstrating expertise in complex AI system design and optimization.
World Models, World Labs
|Member of Technical Staff
San Francisco, CA, US
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Summary
Spearheaded research and development for 3D scene generation, encompassing data strategy, model training, and advanced data curation pipelines.
Highlights
key contributor to the model training of Marble 1 - the world's first foundation model for 3D scene generation, powered by multi-view generative model.
Directed data strategy and led real-world spatial data collection efforts and PB-level internet multimodal data sourcing, establishing a comprehensive data pyramid strategy for pre-training and post-training spatial 3D datasets.
Investigated reinforcement learning methods to improve view-consistency of the multi-view diffusion model, enhancing model performance and realism.
Pika Labs
|Research Engineer
Palo Alto, CA, US
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Summary
Contributed significantly to the development of Pika 1.5 and 2.0, focusing on data curation, distributed training, and advanced video generation features.
Highlights
Served as a main contributor to Pika 1.5 and 2.0, with the latter scoring #5 in the artificial analysis leaderboard.
Developed a ray-based heterogeneous data curation pipeline that processed 5PB of video data, yielding billions of video clips for training.
Engineered a large-scale distributed training framework utilizing FSDP+CP, optimizing computational efficiency and resource utilization.
Led post-training research on camera-pose conditioned video generation and ingredients-to-video features, enhancing model control and output quality.
Meta Reality Labs
|CV Engineer II
Seattle, WA, US
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Summary
Developed and optimized a pipeline for generating detailed 3D models from user-captured media for real-time rendering on standalone VR headsets.
Highlights
Created a pipeline for generating detailed 3D models from user-captured images or videos, optimized for real-time rendering on standalone VR headsets.
Utilized NeRF-based reconstruction and advanced baking techniques to achieve high-fidelity and efficient 3D model generation.
Directed pioneering research initiatives to enable object interaction within user-captured scenes, expanding immersive VR experiences.
Meta Reality Labs
|CV Engineer
Seattle, WA, US
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Summary
Engineered innovative algorithms to transform 2D monocular images and videos into 3D formats, enabling the creation of immersive 3D content.
Highlights
Engineered innovative algorithms to transform 2D monocular images and videos into 3D formats, enabling the creation of 3D photos, 3D videos, and stereo videos.
Utilized NeRF-based novel-view synthesis and mesh baking & streaming techniques to enhance visual quality and delivery efficiency.
Education
Washington University in St. Louis
St. Louis, MO, United States of America
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MS
Computer Science
Grade: 4.00
Washington University in St. Louis
St. Louis, MO, United States of America
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BS
Computer Science + Mathematics
Grade: 3.97
Awards
Ranked No. 38, ACM-ICPC North America Championship
Awarded By
ACM-ICPC
Achieved a top ranking in the prestigious North America Championship for competitive programming.
Ranked No. 6, ACM-ICPC Mid-Central USA Regional Contest
Awarded By
ACM-ICPC
Secured a high ranking in the Mid-Central USA Regional Contest for competitive programming.
Bronze Award, Asia-Pacific Informatics Olympiad (China Division)
Awarded By
Asia-Pacific Informatics Olympiad
Received a Bronze Award in the highly competitive Asia-Pacific Informatics Olympiad, representing China.
First Prize, National Olympiad in Informatics in Provinces (NOIP), Senior Group
Awarded By
National Olympiad in Informatics in Provinces
Awarded First Prize in the Senior Group of the National Olympiad in Informatics in Provinces.
Publications
LTM: Lightweight Textured Mesh Extraction and Refinement of Large Unbounded Scenes for Efficient Storage and Real-time Rendering
Published by
CVPR
Summary
Contributed to research on Lightweight Textured Mesh Extraction and Refinement (LTM) for efficient storage and real-time rendering of large scenes.
OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Published by
ICCV
Summary
Co-authored research on OmnimatteRF, focusing on robust omnimatte generation with advanced 3D background modeling techniques.