38 citations · 107 across the 9 of their papers we have counts for
10 papers
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion
Siyuan Shan, Yang Li, Amartya Banerjee +1
Voice conversion (VC) aims at altering a person's voice to make it sound similar to the voice of another person while preserving linguistic content. Existing methods suffer from a…
Distribution-based Sketching of Single-Cell Samples
Vishal Athreya Baskaran, Jolene Ranek, Siyuan Shan +2
Modern high-throughput single-cell immune profiling technologies, such as flow and mass cytometry and single-cell RNA sequencing can readily measure the expression of a large numbe…
Transparent Single-Cell Set Classification with Kernel Mean Embeddings
Siyuan Shan, Vishal Baskaran, Haidong Yi +3
Modern single-cell flow and mass cytometry technologies measure the expression of several proteins of the individual cells within a blood or tissue sample. Each profiled biological…
Differentiable Wavetable Synthesis
Siyuan Shan, Lamtharn Hantrakul, Jitong Chen +2
Differentiable Wavetable Synthesis (DWTS) is a technique for neural audio synthesis which learns a dictionary of one-period waveforms i.e. wavetables, through end-to-end training.…
Towards Robust Active Feature Acquisition
Yang Li, Siyuan Shan, Qin Liu +1
Truly intelligent systems are expected to make critical decisions with incomplete and uncertain data. Active feature acquisition (AFA), where features are sequentially acquired to…
NRTSI: Non-Recurrent Time Series Imputation
Siyuan Shan, Yang Li, Junier B. Oliva
Time series imputation is a fundamental task for understanding time series with missing data. Existing methods either do not directly handle irregularly-sampled data or degrade sev…
Exchangeable Neural ODE for Set Modeling
Yang Li, Haidong Yi, Christopher M. Bender +2
Reasoning over an instance composed of a set of vectors, like a point cloud, requires that one accounts for intra-set dependent features among elements. However, since such instanc…
Meta-Neighborhoods
Siyuan Shan, Yang Li, Junier Oliva
Making an adaptive prediction based on one's input is an important ability for general artificial intelligence. In this work, we step forward in this direction and propose a semi-p…
Unsupervised End-to-end Learning for Deformable Medical Image Registration
Siyuan Shan, Wen Yan, Xiaoqing Guo +3
We propose a registration algorithm for 2D CT/MRI medical images with a new unsupervised end-to-end strategy using convolutional neural networks. The contributions of our algorithm…
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance
Yan Xu, Siyuan Shan, Ziming Qiu +5
In this paper, we propose an innovative end-to-end subtitle detection and recognition system for videos in East Asian languages. Our end-to-end system consists of multiple stages.…