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Yongfeng Huang
Researcher at Tsinghua University
Publications - 237
Citations - 4855
Yongfeng Huang is an academic researcher from Tsinghua University. The author has contributed to research in topics: Steganography & Steganalysis. The author has an hindex of 30, co-authored 230 publications receiving 2703 citations. Previous affiliations of Yongfeng Huang include Association for Computing Machinery & Microsoft.
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Proceedings ArticleDOI
NPA: Neural News Recommendation with Personalized Attention
TL;DR: In this article, a neural news recommendation model with personalized attention (NPA) is proposed, which exploits the embedding of user ID to generate the query vector for the word-and news-level attentions.
Proceedings ArticleDOI
Neural News Recommendation with Multi-Head Self-Attention.
TL;DR: A neural news recommendation approach with multi-head self-attentions to learn news representations from news titles by modeling the interactions between words and applies additive attention to learn more informative news and user representations by selecting important words and news.
Journal ArticleDOI
RNN-Stega: Linguistic Steganography Based on Recurrent Neural Networks
TL;DR: A linguistic steganography based on recurrent neural networks, which can automatically generate high-quality text covers on the basis of a secret bitstream that needs to be hidden, and achieves the state-of-the-art performance.
Journal ArticleDOI
Steganography in Inactive Frames of VoIP Streams Encoded by Source Codec
TL;DR: It is revealed that, contrary to existing thought, the inactive frames of VoIP streams are more suitable for data embedding than the active frames of the streams; that is, steganography in the inactive audio frames attains a largerData embedding capacity than that in the active audio frames under the same imperceptibility.
Journal ArticleDOI
Steganography Integration Into a Low-Bit Rate Speech Codec
TL;DR: A new algorithm is proposed for steganography in low bit-rate VoIP audio streams by integrating information hiding into the process of speech encoding, thus maintaining synchronization between information hiding and speech encoding.