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2020 – today
- 2024
[c10]Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter:
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers. CVPR 2024: 27497-27506- [i14]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 abs/2403.13208 (2024) - [i13]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 abs/2406.07785 (2024) - 2023
- [c9]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: 734-760 - [i12]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 abs/2306.15864 (2023) - 2022
- [c8]Bingqing Chen, Luca Bondi
, Samarjit Das:
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection. ICPR 2022: 133-139 - [i11]Bingqing Chen, Luca Bondi, Samarjit Das:
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection. CoRR abs/2204.01905 (2022) - [i10]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 abs/2205.02953 (2022) - [i9]Jingxiao Liu, Yujie Wei, Bingqing Chen:
A hierarchical semantic segmentation framework for computer vision-based bridge damage detection. CoRR abs/2207.08878 (2022) - [i8]Jonathan Francis, Bingqing Chen, Weiran Yao, Eric Nyberg, Jean Oh:
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving. CoRR abs/2212.08729 (2022) - 2021
- [c7]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: 199-210 - [c6]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: 9773-9782 - [i7]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 abs/2103.11575 (2021) - [i6]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR abs/2105.08881 (2021) - [i5]Bingqing Chen, Jonathan Francis, James Herman, Jean Oh, Eric Nyberg, Sylvia L. Herbert:
Safety-aware Policy Optimisation for Autonomous Racing. CoRR abs/2110.07699 (2021) - 2020
- [c5]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: 3007-3011 - [c4]Bingqing Chen, Jingxiao Liu, Henning Lange, Mario Bergés:
Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation. ICASSP 2020: 3262-3266 - [c3]Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés:
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. BuildSys@SenSys 2020: 31-40 - [c2]Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés:
Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads. SmartGridComm 2020: 1-7 - [i4]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 abs/2002.02105 (2020) - [i3]Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés:
Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads. CoRR abs/2007.00791 (2020) - [i2]Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés:
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. CoRR abs/2010.03659 (2020) - [i1]Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar:
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings. CoRR abs/2012.09622 (2020)
2010 – 2019
- 2019
- [c1]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: 316-325
Coauthor Index
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