Weihua Hu
Researcher PhD Standford University 2023-01
Facts
10 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- Stanford University (?–2022)[2]
- Official website
- weihua916.github.io[8]
- Doctoral advisor
- Jure Leskovec[3]
- Imported from
- wholeness_audit_2026-05-02
- Name in native language
- 胡緯華[9]
🏷️ Also known as
en Weihua Hu
zh 胡緯華
🔖 Identifiers · 7
- ORCID iD
- 0000-0003-2956-2616
- OpenAlex ID
- A5102025770as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Arnet Miner author ID
- 56157bb345ce1e5963764be8
- DBLP author ID
- 42/1232
- GitHub account
- weihua916
- Google Knowledge Graph ID
- /g/11h201gm8r
- Google Scholar author ID
- wAFMjfkAAAAJ
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings,
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels,
Efficient Auto-Scaling Approach in the Telco Cloud Using Self-Learning Algorithm,
From Similarity to Superiority: Channel Clustering for Time Series Forecasting,
Learning from Complementary Labels,
Learning skillful medium-range global weather forecasting,
Phase-based motion estimation in complex environments using the illumination-invariant log-Gabor filter,
Pre-training Graph Neural Networks.
+1 more
← Authored by 9
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings,
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels,
Efficient Auto-Scaling Approach in the Telco Cloud Using Self-Learning Algorithm,
From Similarity to Superiority: Channel Clustering for Time Series Forecasting,
Learning from Complementary Labels,
Learning skillful medium-range global weather forecasting,
Phase-based motion estimation in complex environments using the illumination-invariant log-Gabor filter,
Pre-training Graph Neural Networks.
+1 more
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