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ORCIDPengfei Li 0008
Person information
- affiliation: University of California Riverside, Department of Computer Science, Riverside, CA, USA
Other persons with the same name
- Pengfei Li — disambiguation page
- Pengfei Li 0001 — Qualcomm, San Diego, CA, USA (and 1 more)
- Pengfei Li 0002 — Harbin Medical University, College of Bioinformatics Science and Technology, China
- Pengfei Li 0003
![[0000-0002-2572-5935]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2572-5935")
— Yale University. Department of Chemistry, New Heaven, CT, USA (and 2 more) - Pengfei Li 0004 — Beihang University, School of Aeronautic Science and Engineering, Fundamental Science on Ergonomics and Environment Control Laboratory, Beijing, China
- Pengfei Li 0005 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Pengfei Li 0006 — University of Science and Technology of China, Department of Automation, Hefei, China
- Pengfei Li 0007 — Tsinghua University, Institute for AI Industry Research (AIR), Beijing, China
- Pengfei Li 0009 — Hangzhou Dianzi University, School of Computer Science, Hangzhou, China
- Pengfei Li 0010 — Xi'an University of Science and Technology, College of Geomatics, China
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2020 – today
- 2025
[i17]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Learning-Augmented Online Control for Decarbonizing Water Infrastructures. CoRR abs/2501.14232 (2025)- 2024
- [j3]Jianyi Yang, Pengfei Li, Mohammad Jaminur Islam, Shaolei Ren:
Online Allocation with Replenishable Budgets: Worst Case and Beyond. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 4:1-4:34 (2024) - [j2]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Learning-Augmented Decentralized Online Convex Optimization in Networks. Proc. ACM Meas. Anal. Comput. Syst. 8(3): 38:1-38:42 (2024) - [c12]Pranjol Sen Gupta, Md Rajib Hossen, Pengfei Li, Shaolei Ren, Mohammad A. Islam:
A Dataset for Research on Water Sustainability. e-Energy 2024 - [c11]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Towards Environmentally Equitable AI via Geographical Load Balancing. e-Energy 2024 - [c10]Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren:
Building Socially-Equitable Public Models. ICML 2024 - [c9]Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren:
Online Budgeted Matching with General Bids. NeurIPS 2024 - [c8]Jianyi Yang, Pengfei Li, Mohammad Jaminur Islam, Shaolei Ren:
Online Allocation with Replenishable Budgets: Worst Case and Beyond. SIGMETRICS/Performance (Abstracts) 2024: 57-58 - [i16]Jianyi Yang, Pengfei Li, Mohammad Jaminur Islam, Shaolei Ren:
Online Allocation with Replenishable Budgets: Worst Case and Beyond. CoRR abs/2401.04340 (2024) - [i15]Pranjol Sen Gupta, Md Rajib Hossen, Pengfei Li, Shaolei Ren, Mohammad A. Islam:
A Dataset for Research on Water Sustainability. CoRR abs/2405.17469 (2024) - [i14]Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren:
Building Socially-Equitable Public Models. CoRR abs/2406.02790 (2024) - [i13]Pengfei Li, Yejia Liu, Jianyi Yang, Shaolei Ren:
Towards Socially and Environmentally Responsible AI. CoRR abs/2407.05176 (2024) - [i12]Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren:
Online Budgeted Matching with General Bids. CoRR abs/2411.04204 (2024) - [i11]Noah Shumba, Opelo Tshekiso, Pengfei Li, Giulia Fanti, Shaolei Ren:
A Water Efficiency Dataset for African Data Centers. CoRR abs/2412.03716 (2024) - [i10]Yuelin Han, Zhifeng Wu, Pengfei Li, Adam Wierman, Shaolei Ren:
The Unpaid Toll: Quantifying the Public Health Impact of AI. CoRR abs/2412.06288 (2024) - 2023
- [c7]Pengfei Li, Jianyi Yang, Shaolei Ren:
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees. ICML 2023: 20276-20295 - [c6]Qiuxiao Chen, Hung-Shuo Tai, Pengfei Li, Ke Wang, Xiaojun Qi:
BEVSeg: Geometry and Data-Driven Based Multi-view Segmentation in Bird's-Eye-View. ICVS 2023: 432-443 - [c5]Pengfei Li, Jianyi Yang, Shaolei Ren:
Robustified Learning for Online Optimization with Memory Costs. INFOCOM 2023: 1-10 - [c4]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. NeurIPS 2023 - [c3]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Anytime-Competitive Reinforcement Learning with Policy Prior. NeurIPS 2023 - [i9]Pengfei Li, Jianyi Yang, Mohammad A. Islam, Shaolei Ren:
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models. CoRR abs/2304.03271 (2023) - [i8]Pengfei Li, Jianyi Yang, Shaolei Ren:
Robustified Learning for Online Optimization with Memory Costs. CoRR abs/2305.00677 (2023) - [i7]Pengfei Li, Jianyi Yang, Shaolei Ren:
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees. CoRR abs/2306.00172 (2023) - [i6]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Learning-Augmented Decentralized Online Convex Optimization in Networks. CoRR abs/2306.10158 (2023) - [i5]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Towards Environmentally Equitable AI via Geographical Load Balancing. CoRR abs/2307.05494 (2023) - [i4]Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. CoRR abs/2310.20098 (2023) - [i3]Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Anytime-Competitive Reinforcement Learning with Policy Prior. CoRR abs/2311.01568 (2023) - 2022
- [j1]Pengfei Li, Jianyi Yang, Shaolei Ren:
Expert-Calibrated Learning for Online Optimization with Switching Costs. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 28:1-28:35 (2022) - [c2]Pengfei Li, Jianyi Yang, Shaolei Ren:
Expert-Calibrated Learning for Online Optimization with Switching Costs. SIGMETRICS (Abstracts) 2022: 85-86 - [i2]Pengfei Li, Jianyi Yang, Shaolei Ren:
Expert-Calibrated Learning for Online Optimization with Switching Costs. CoRR abs/2204.08572 (2022) - 2021
- [c1]Qiuxiao Chen, Pengfei Li, Meng Xu, Xiaojun Qi:
Sparse Activation Maps for Interpreting 3D Object Detection. CVPR Workshops 2021: 76-84
2010 – 2019
- 2019
- [i1]Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille:
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints. CoRR abs/1912.04363 (2019)
Coauthor Index
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