
Hsu Wei-ning - Wikipedia
Hsu Wei-ning (Chinese: 許 瑋 甯; pinyin: Xǔ Wěinìng; born 7 August 1984), also known as Tiffany Ann Hsu, is a Taiwanese actress. [1] Hsu began her career as a model, [2] and first came to attention for her supporting roles in the Taiwanese drama series It Started with a Kiss and its sequel They Kiss Again. She also worked as a VJ for MTV ...
Wei-Ning Hsu - Meta | LinkedIn
Wei-Ning Hsu is a research scientist at Facebook AI Research (FAIR) working on speech and… · Experience: Meta · Education: Massachusetts Institute of Technology · Location: New York ·...
- 500+ connections
- Location: Meta
About me - Wei-Ning Hsu (徐煒甯)
Wei-Ning is a research scientist at Facebook AI Research (FAIR). His research focuses on representation learning, self-supervised learning, and structured generative modeling for unimodal and multimodal speech.
Tiffany Hsu (許瑋甯) - MyDramaList
Tiffany Hsu is a Taiwanese actress and model. She debuted as a model in 2003 and transitioned to acting in 2004. In 2007, she graduated from the Department of Chinese Theater at Chinese Culture University. Her father is an Italian-American, and her mother is Taiwanese.
Wei-Ning Hsu - AI at Meta
Feb 7, 2025 · Wei-Ning is a research scientist at Meta AI (f.k.a FAIR). His research focuses on representation learning, self-supervised learning, and structured generative modeling for unimodal and multimodal speech.
Wei-Ning Hsu - Google Scholar
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …
Wei-Ning Hsu - IMDb
Wei-Ning Hsu. Actress: The Tag-Along. Tiffany Ann Hsu (her birth name in Mandarin is Wei-Ning Hsu, but she loves people call her Ann because that's what her beloved grandfather calls her) was born on 7th August 1984 in Taipei City, Taiwan.
WEI-NING (Jasmine) SU - Marketing Analyst - LinkedIn
View WEI-NING (Jasmine) SU’s profile on LinkedIn, a professional community of 1 billion members.
- Title: Student at Oregon State …
- Location: Roulettech, Inc.
- Connections: 44
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Wei-Ning Hsu
Disentangling Corre-lated Speaker and Noise for Speech Synthesis via Data Augmentation and Adversarial Factorization.
Disentangled semantic and style representations from paired visual and audio data for controllable cross-modal synthesis and automatic semantic class discovery [6]. Proposed a transfer learning framework from audio-visual grounding to speech recognition through robust feature distillation [3].
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