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A hierarchical semantic segmentation framework for computer vision-based bridge damage detection


Jul 18, 2022
Jingxiao Liu, Yujie Wei, Bingqing Chen


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Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing


May 10, 2022
Jonathan Francis, Bingqing Chen, Siddha Ganju, Sidharth Kathpal, Jyotish Poonganam, Ayush Shivani, Vrushank Vyas, Sahika Genc, Ivan Zhukov, Max Kumskoy, Anirudh Koul, Jean Oh, Eric Nyberg

* 20 pages, 4 figures, 2 tables 

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Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection


Apr 05, 2022
Bingqing Chen, Luca Bondi, Samarjit Das


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Safety-aware Policy Optimisation for Autonomous Racing


Oct 14, 2021
Bingqing Chen, Jonathan Francis, James Herman, Jean Oh, Eric Nyberg, Sylvia L. Herbert

* 22 pages, 14 figures, 3 tables 

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Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization


May 19, 2021
Bingqing Chen, Priya Donti, Kyri Baker, J. Zico Kolter, Mario Berges

* Accepted at Twelfth ACM International Conference on Future Energy Systems (ACM e-Energy) 

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Learn-to-Race: A Multimodal Control Environment for Autonomous Racing


Mar 31, 2021
James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg

* 15 pages, 5 figures 

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Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings


Dec 16, 2020
Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar

* 10 pages 

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Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring


Feb 06, 2020
Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, HaeYoung Noh

* To appear in Proc. ICASSP2020, May 04-08, 2020, Barcelona, Spain. IEEE 

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