Bingqing Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Semantic Segmentation

Reinforcement Learning

Damage Detection

Top Venues

BuildSys@SenSys

Publications

Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers. CoRR (2024)
Peide Huang, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories. CoRR (2024)
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRR (2023)
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRL (2023)
Jonathan Francis, Bingqing Chen, Weiran Yao, Eric Nyberg, Jean Oh
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving. CoRR (2022)
Jingxiao Liu, Yujie Wei, Bingqing Chen
A hierarchical semantic segmentation framework for computer vision-based bridge damage detection. CoRR (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
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing. CoRR (2022)
Bingqing Chen, Luca Bondi, Samarjit Das
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection. ICPR (2022)
Bingqing Chen, Luca Bondi, Samarjit Das
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection. CoRR (2022)
Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. e-Energy (2021)
James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. ICCV (2021)
James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. CoRR (2021)
Bingqing Chen, Jonathan Francis, James Herman, Jean Oh, Eric Nyberg, Sylvia L. Herbert
Safety-aware Policy Optimisation for Autonomous Racing. CoRR (2021)
Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR (2021)
Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings. CoRR (2020)
Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. BuildSys@SenSys (2020)
Bingqing Chen, Jingxiao Liu, Henning Lange, Mario Bergés
Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation. ICASSP (2020)
Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. CoRR (2020)
Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Bergés, Jacobo Bielak, Hae Young Noh
Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring. ICASSP (2020)
Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés
Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads. CoRR (2020)
Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, Hae Young Noh
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring. CoRR (2020)
Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés
Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads. SmartGridComm (2020)
Bingqing Chen, Zicheng Cai, Mario Bergés
Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy. BuildSys@SenSys (2019)