21 citations · 71 across the 12 of their papers we have counts for
12 papers
Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval
Jiwei Zhang, Yi Yu, Suhua Tang +2
Cross-modal retrieval is to utilize one modality as a query to retrieve data from another modality, which has become a popular topic in information retrieval, machine learning, and…
Automatic Neural Lyrics and Melody Composition
Gurunath Reddy Madhumani, Yi Yu, Florian Harscoët +2
In this paper, we propose a technique to address the most challenging aspect of algorithmic songwriting process, which enables the human community to discover original lyrics, and…
Multi-Slot Over-The-Air Computation in Fading Channels
Suhua Tang, Petar Popovski, Chao Zhang +1
IoT systems typically involve separate data collection and processing, and the former faces the scalability issue when the number of nodes increases. For some tasks, only the resul…
Reliable Over-the-Air Computation by Amplify-and-Forward Based Relay
Suhua Tang, Huarui Yin, Chao Zhang +1
In typical sensor networks, data collection and processing are separated. A sink collects data from all nodes sequentially, which is very time consuming. Over-the-air computation,…
Performance Analysis of Millimeter Wave Wireless Power Transfer With Imperfect Beam Alignment
Man Wang, Chao Zhang, Xiaoming Chen +1
In this paper, the impact of imperfect beam alignment (IBA) on millimeter wave (mmWave) wireless power transfer (WPT) is investigated. We consider a mmWave WPT network, where the l…
Ensemble Super-Resolution with A Reference Dataset
Junjun Jiang, Yi Yu, Zheng Wang +3
By developing sophisticated image priors or designing deep(er) architectures, a variety of image Super-Resolution (SR) approaches have been proposed recently and achieved very prom…
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning
Junjun Jiang, Yi Yu, Suhua Tang +3
Face hallucination is a technique that reconstruct high-resolution (HR) faces from low-resolution (LR) faces, by using the prior knowledge learned from HR/LR face pairs. Most state…
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
Junjun Jiang, Yi Yu, Jinhui Hu +2
Most of the current face hallucination methods, whether they are shallow learning-based or deep learning-based, all try to learn a relationship model between Low-Resolution (LR) an…
Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data
Yi Yu, Suhua Tang, Kiyoharu Aizawa +1
In this work, travel destination and business location are taken as venues. Discovering a venue by a photo is very important for context-aware applications. Unfortunately, few effo…
Towards Deep Modeling of Music Semantics using EEG Regularizers
Francisco Raposo, David Martins de Matos, Ricardo Ribeiro +2
Modeling of music audio semantics has been previously tackled through learning of mappings from audio data to high-level tags or latent unsupervised spaces. The resulting semantic…
Deep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval
Yi Yu, Suhua Tang, Francisco Raposo +1
Little research focuses on cross-modal correlation learning where temporal structures of different data modalities such as audio and lyrics are taken into account. Stemming from th…
Receiver Design for Realizing On-Demand WiFi Wake-up using WLAN Signals
Hiroyuki Yomo, Yoshihisa Kondo, Noboru Miyamoto +3
In this paper, we design a simple, low-cost, and low-power wake-up receiver which can be used for an IEEE 802.11-compliant device to remotely wake up the other devices by utilizing…