Lu Ling

I am Lu Ling, a PhD student in the IDEADs Lab and CGV Lab at Purdue University, advised by Prof. Aniket Bera.

My research interests focus on artificial intelligence in computer vision, including 3D content generation and reconstruction using learning-based 3D deep models. We collected the DL3DV-10K , a real-world scene dataset to forge a path toward a foundation model for learning 3D representation.

I am a NVIDIA Research intern in 2024 summer, and working with Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yin Lin, and Ming-Yu Liu

Email  /  CV  /  Google Scholar  /  LinkedIn  /  Twitter

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Research

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DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision


Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera
CVPR 2024
10K real-world scene dataset for 3D vision
> proj > paper > code

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Dr.Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering


Yichen Sheng, Zixun, Yu, Lu Ling, Zhiwen Cao, Cecilia Zhang, Xin Lu, Ke Xian, Haiting Lin, Bedrich Benes
CVPR 2024
Lens blur effects in image compositing
> proj > video

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PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing


Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, HE Zhang, Lu Ling, Bedrich Benes
CVPR 2023 (highlight)
Light effects synthesis in image compositing
> paper > code

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Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization


Lu Ling, Washim Uddin Mondal, Satish V. Ukkusuri
IEEE Journal of Biomedical and Health Informatics (2024)
Reinforcement learning, graph neural network, deep learning, disease diffusion
> paper

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Investigating the effects of vaccine on COVID‑19 disease propagation using a Bayesian approach


Lu Ling, Satish Ukkusuri
Scienfic Reports (2023)
Causality inference, Prediction and interpretation
> paper

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Spatiotemporal impacts of human activities and socio-demographics during the COVID-19 outbreak in the US


Lu Ling, Xinwu Qian, Shuocheng Guo, Satish Ukkusuri
BMC Public Health (2022)
Activity and mobility prediction and interpretation
> paper

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Influencing factors for Right Turn Lane Crash Frequency Based on Geographically and Temporally Weighted Regression Models


Lu Ling, Wenbo Zhang, Jie Bao, Satish V. Ukkusuri
Journal of Safety Research (2023)
Geographically and Temporally modeling, Prediction and interpretation, Safety, Human Driver Behavior.
> paper

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Modeling the causality of received information, certainty, and decision making in hurricane evacuations


Lu Ling, Satish V. Ukkusuri, Pamela Murray-Tuite, Seungyoon Lee, Yue ‘Gurt’ Ge
Under review
Causality inference, prediction and interpretation
> paper

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Evaluating Public Transportation Service in a Transit Hub based on Passengers Energy Cost


Xiongfei Lai, Jing Teng, Lu Ling
23rd International Conference on Intelligent Transportation Systems (2020)
Public transportation, Energy Cost
> paper

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Role of uncertainty and social networks on shadow evacuation and non-compliance behavior in hurricanes


Lu Ling, Pamela Murray-Tuite, Seungyoon Lee, Yue ‘Gurt’ Ge, Satish V. Ukkusuri
Transportation Research Record (2020)
Social network, Information perception, Human behavior, and interpretation
> paper

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Impact of Transportation Network Companies on Labor Supply and Wages for Taxi Drivers


Lu Ling, Xinwu Qian, Satish V. Ukkusuri
Under review
Ridesharing, taxi industry, driver work behavior, wage expectation
> paper

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Resilient Schedule Coordination for a Bus Transit Corridor


Xiongfei Lai, Jing Teng, Paul Schonfeld, Lu Ling
Journal of Advanced Transportation (2020)
Public transportation, Resilience
> paper

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Forecasting the gap between demand and supply of e-hailing vehicle in large scale of network based on two-stage model


Lu Ling, Xiongfei Lai, Feng Li
IEEE Intelligent Transportation Systems Conference (2019)
Ridesharing, Matching, Neural Network, Prediction
> paper

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Reliable feeder bus schedule optimization in a multi-mode transit system


Lu Ling, Feng Li
International Conference on Intelligent Transportation Systems (2017)
Bus Schedule Optimization, prediction and interpretation
> paper

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Analyzing the relationship between urban macroeconomic development and transport infrastructure system based on neural network


Lu Ling, Feng Li, Linhui Cao
Green Intelligent Transportation Systems, Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 419) (2017)
Transportation, Economy, Neural Network, Prediction
> paper

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Optimization of Regional Railway Fast Freight Transport Routes: Case Study of China’s Yangtze River Delta Area


Lu Ling, Feng Li
Transportation Research Board (2016)
Operation research
> paper




Projects

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Performance of Right-Turn Lane Designs at Intersections


Project
2020-12-04
paper /

Cool sites from Jon Barron's website. Thanks for Leonid Keselman's Jekyll template