activity
20132023
most citedPrivacy-Utility Tradeoffs under Constrained Data Release Mechanisms

28 citations · 120 across the 13 of their papers we have counts for

collaborators

13 papers

cs.SD2023★ 1 cited

Deep Audio-Visual Singing Voice Transcription based on Self-Supervised Learning Models

Xiangming Gu, Wei Zeng, Jianan Zhang +2

Singing voice transcription converts recorded singing audio to musical notation. Sound contamination (such as accompaniment) and lack of annotated data make singing voice transcrip…

eess.AS2022★ 12 cited

MM-ALT: A Multimodal Automatic Lyric Transcription System

Xiangming Gu, Longshen Ou, Danielle Ong +1

Automatic lyric transcription (ALT) is a nascent field of study attracting increasing interest from both the speech and music information retrieval communities, given its significa…

cs.LG2022

Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization

Wei Wei, Huang Hengguan, Gu Xiangming +2

Content mismatch usually occurs when data from one modality is translated to another, e.g. language learners producing mispronunciations (errors in speech) when reading a sentence…

eess.AS2022

Exploring Transformer's potential on automatic piano transcription

Longshen Ou, Ziyi Guo, Emmanouil Benetos +2

Most recent research about automatic music transcription (AMT) uses convolutional neural networks and recurrent neural networks to model the mapping from music signals to symbolic…

cs.LG2021★ 18 cited

CGNN: Traffic Classification with Graph Neural Network

Bo Pang, Yongquan Fu, Siyuan Ren +3

Traffic classification associates packet streams with known application labels, which is vital for network security and network management. With the rise of NAT, port dynamics, and…

cs.LG2021★ 1 cited

STRODE: Stochastic Boundary Ordinary Differential Equation

Hengguan Huang, Hongfu Liu, Hao Wang +2

Perception of time from sequentially acquired sensory inputs is rooted in everyday behaviors of individual organisms. Yet, most algorithms for time-series modeling fail to learn dy…