Bingqing Chen

According to our database, Bingqing Chen authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning.

Marius Memmel, Jacob Berg, Bingqing Chen, Abhishek Gupta, Jonathan Francis

CoRR, 2024

GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering.

Saumya Saxena, Blake Buchanan, Chris Paxton, Bingqing Chen, Narunas Vaskevicius, Luigi Palmieri, Jonathan Francis, Oliver Kroemer

CoRR, 2024

CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories.

Peide Huang, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao

CoRR, 2024

User-Defined Gesture Interactions for VR Museums: An Elicitation Study.

Qianru Liu, Yue Li, Bingqing Chen, Huiyue Wu, Hai-Ning Liang

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2024

Awkward or Acceptable? Understanding the Bystander Perspective on the Ubiquity of Cross Reality in Ambiguous Social Situations.

Bingqing Chen, Yue Li, Botao Amber Hu, Yilan Elan Tao

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2024

From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers.

Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery.

Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao

Proceedings of the Conference on Robot Learning, 2023

2022

Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving.

Jonathan Francis, Bingqing Chen, Weiran Yao, Eric Nyberg, Jean Oh

CoRR, 2022

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

Jingxiao Liu, Yujie Wei, Bingqing Chen

CoRR, 2022

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

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

CoRR, 2022

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

Bingqing Chen, Luca Bondi, Samarjit Das

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Safety-aware Policy Optimisation for Autonomous Racing.

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

CoRR, 2021

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

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization.

Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020

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

Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar

CoRR, 2020

Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads.

Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés

Proceedings of the 2020 IEEE International Conference on Communications, 2020

COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility.

Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés

Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring.

Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Bergés, Jacobo Bielak, Hae Young Noh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation.

Bingqing Chen, Jingxiao Liu, Henning Lange, Mario Bergés

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy.

Bingqing Chen, Zicheng Cai, Mario Bergés

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019