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ORCIDHaoran Li 0005
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
Other persons with the same name
- Haoran Li — disambiguation page
- Haoran Li 0001
![[0000-0002-2368-7541]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2368-7541")
— JD AI Research (and 2 more) - Haoran Li 0002 — Alibaba DAMO Academy Computing Technology Laboratory, Hangzhou, China (and 1 more)
- Haoran Li 0003 — Peking University, School of EECS, Beijing, China
- Haoran Li 0004 — Anhui University, School of Electrical Engineering and Automation, Hefei, China (and 1 more)
- Haoran Li 0006 — Rice University, Houston, TX, USA
- Haoran Li 0007 — Meta AI (and 1 more)
- Haoran Li 0008 — Wuhan University, Wuhan, Hubei, China
- Haoran Li 0009 — Sun Yat-sen University, Department of School of Electronics and Communication Engineering, Shenzhen, China (and 1 more)
- Haoran Li 0010 — Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Beijing, China (and 2 more)
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Journal Articles
- 2024
[j1]Haoran Li, Yang Weng, Vijay Vittal, Erik Blasch:
Distribution Grid Topology and Parameter Estimation Using Deep-Shallow Neural Network With Physical Consistency. IEEE Trans. Smart Grid 15(1): 655-666 (2024)
Conference and Workshop Papers
- 2023
- [c5]Haoran Li, Yang Weng:
PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network. ICDM 2023: 1085-1090 - 2022
- [c4]Haoran Li, Hanghang Tong, Yang Weng:
Domain Adaptation in Physical Systems via Graph Kernel. KDD 2022: 868-876 - [c3]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. NeurIPS 2022 - 2021
- [c2]Haoran Li, Yang Weng:
Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability. KDD 2021: 925-933 - 2020
- [c1]Haoran Li, Yang Weng, Hanghang Tong:
Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. ICDM 2020: 1088-1093
Informal and Other Publications
- 2022
- [i3]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. CoRR abs/2206.00257 (2022) - 2021
- [i2]Erik Blasch, Haoran Li, Zhihao Ma, Yang Weng:
The Powerful Use of AI in the Energy Sector: Intelligent Forecasting. CoRR abs/2111.02026 (2021) - 2019
- [i1]Haoran Li, Yang Weng, Yizheng Liao, Brian Keel, Kenneth E. Brown:
Robust Hidden Topology Identification in Distribution Systems. CoRR abs/1902.01365 (2019)
Coauthor Index
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