Pengfei Li

Orcid: 0000-0003-3257-9929

Affiliations:
  • University of California Riverside, Department of Computer Science, Riverside, CA, USA


According to our database1, Pengfei Li authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning-Augmented Decentralized Online Convex Optimization in Networks.
Proc. ACM Meas. Anal. Comput. Syst., December, 2024

Online Allocation with Replenishable Budgets: Worst Case and Beyond.
Proc. ACM Meas. Anal. Comput. Syst., 2024

The Unpaid Toll: Quantifying the Public Health Impact of AI.
CoRR, 2024

Online Budgeted Matching with General Bids.
CoRR, 2024

Towards Socially and Environmentally Responsible AI.
CoRR, 2024

A Dataset for Research on Water Sustainability.
CoRR, 2024

Building Socially-Equitable Public Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Towards Environmentally Equitable AI via Geographical Load Balancing.
CoRR, 2023

Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models.
CoRR, 2023

Anytime-Competitive Reinforcement Learning with Policy Prior.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Learning for Smoothed Online Convex Optimization with Feedback Delay.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robustified Learning for Online Optimization with Memory Costs.
Proceedings of the IEEE INFOCOM 2023, 2023

BEVSeg: Geometry and Data-Driven Based Multi-view Segmentation in Bird's-Eye-View.
Proceedings of the Computer Vision Systems: 14th International Conference, 2023

Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees.
Proceedings of the International Conference on Machine Learning, 2023

2022
Expert-Calibrated Learning for Online Optimization with Switching Costs.
Proc. ACM Meas. Anal. Comput. Syst., 2022

2021
Sparse Activation Maps for Interpreting 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints.
CoRR, 2019


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