Scholar
Lu Ling
Google Scholar ID: PuJyDnEAAAAJ
Purdue University
Citations & Impact
Citations
388
H-index
11
i10-index
11
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation (under review)
- DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision (CVPR 2024)
- Dr.Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering (CVPR 2024)
- PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing (CVPR 2023)
- Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization (IEEE Journal of Biomedical and Health Informatics, 2024)
- Investigating the effects of vaccine on COVID-19 disease propagation using a Bayesian approach (Scientific Reports, 2023)
- Spatiotemporal impacts of human activities and socio-demographics during the COVID-19 outbreak in the US (BMC Public Health, 2022)
- Influencing factors for Right Turn Lane Crash Frequency Based on Geographically and Temporally Weighted Regression Models (Journal of Safety Research, 2023)
- Modeling the causality of received information, certainty, and decision making in hurricane evacuations (under review)
- Evaluating Public Transportation Service in a Transit Hub based on Passengers Energy Cost (23rd International Conference on Intelligent Transportation Systems, 2020)
- Role of uncertainty and social networks on shadow evacuation and non-compliance behavior in hurricanes (Transportation Research Record, 2020)
- Impact of Transportation Network Companies on Labor Supply and Wages for Taxi Drivers (under review)
Research Experience
- NVIDIA Research intern in 2024 summer and fall, working with Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yin Lin, and Ming-Yu Liu
Education
- Purdue University, PhD in progress, advisor: Prof. Aniket Bera
Background
- Lu Ling is a PhD student in the IDEADs Lab and CGV Lab at Purdue University, advised by Prof. Aniket Bera. He is passionate about all aspects of 3D/4D GenAI and multi-modal models, including generative AI, vision-language modeling, and agentic AI for reasoning and planning. To contribute to this field, he led the DL3DV-10K project, a real-world scene dataset to forge a path toward a foundation model for learning 3D representation.
Co-authors