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Profil bibliographique

T. Y. Zeng

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

5Publications signalées
40Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Music and Audio ProcessingMusic Technology and Sound StudiesComputational Drug Discovery MethodsOptical measurement and interference techniquesNeuroscience and Music Perception

Les publications récentes

Accès ouvert 2024 article OpenAlex

PTNS: patent citation trajectory prediction based on temporal network snapshots

Mingli Ding, Wangke Yu, T. Y. Zeng, Shuhua Wang

With the rapid development of science and technology, the pace of development in the knowledge economy is accelerating. Intellectual property, especially patents, is a strategic resource for technological innovation and a crucial support for building an innovative country. Therefore, it is particularly …

cn (code pays fourni par la source)

8 citations Scientific Reports
2024 conference-paper OpenAlex

Far Field Prediction Based on Non-fixed Height Near-field Scan and VGG19 Convolutional Neural Network

Jun Zhou, T. Y. Zeng, Deok Hyun Han, Xiangjun Wei

With the miniaturization of modern electronic devices, the electromagnetic environment of electronic devices has become worse, resulting in more serious electromagnetic interference problems. It is of great significance to explore low-cost and efficient method to evaluate the 3-meter far field of the …

cn (code pays fourni par la source)

0 citations
2024 conference-paper OpenAlex

Inception-V4 Convolutional Neural Network for Near-field to Far-field Transform

T. Y. Zeng, Jun Zhou, Deok Hyun Han, Xing‐Chang Wei

The electronic devices’ integration density and working frequency are ever-increasing, resulting in complex electromagnetic interference (EMI) problems. Recently, near-field scanning technology has become a new tool for EMI diagnosis due to its low cost and high convenience. This paper proposes a fast …

cn (code pays fourni par la source)

1 citation
Accès ouvert 2023 article OpenAlex

Training audio transformers for cover song identification

T. Y. Zeng, Francis C. M. Lau

Abstract In the past decades, convolutional neural networks (CNNs) have been commonly adopted in audio perception tasks, which aim to learn latent representations. However, for audio analysis, CNNs may exhibit limitations in effectively modeling temporal contextual information. Analogous to the successes of …

hk (code pays fourni par la source)

0 citations EURASIP Journal on Audio Speech and Music Processing
Accès ouvert 2021 article OpenAlex

Automatic Melody Harmonization via Reinforcement Learning by Exploring Structured Representations for Melody Sequences

T. Y. Zeng, Francis C. M. Lau

We present a novel reinforcement learning architecture that learns a structured representation for use in symbolic melody harmonization. Probabilistic models are predominant in melody harmonization tasks, most of which only treat melody notes as independent observations and do not take note of …

hk (code pays fourni par la source)

31 citations Electronics

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