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07/30/2020
Beyond ℋ-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
We reveal the incoherence between the widely-adopted empirical domain ad...
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07/21/2020
Domain Generalization with Optimal Transport and Metric Learning
Generalizing knowledge to unseen domains, where data and labels are unav...
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05/24/2020
Discriminative Active Learning for Domain Adaptation
Domain Adaptation aiming to learn a transferable feature between differe...
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05/22/2020
A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances
The deluge of digital information in our daily life – from user-generate...
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04/29/2020
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Deep semi-supervised learning has been widely implemented in the real-wo...
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03/26/2020
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
Quantifying and predicting the long-term impact of scientific writings o...
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03/22/2020
Continual Graph Learning
Graph Neural Networks (GNNs) have recently received significant research...
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01/13/2020
Relational State-Space Model for Stochastic Multi-Object Systems
Real-world dynamical systems often consist of multiple stochastic subsys...
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11/20/2019
Deep Active Learning: Unified and Principled Method for Query and Training
In this paper, we proposed a unified and principled method for both quer...
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11/05/2019
A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model
We study the estimation of f() under Gaussian shift model = +, where ∈^d...
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06/10/2019
Quantifying Layerwise Information Discarding of Neural Networks
This paper presents a method to explain how input information is discard...
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05/23/2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Meta-learning has received a tremendous recent attention as a possible a...
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03/12/2019
A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction
Reducing communication overhead is a big challenge for large-scale distr...
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12/03/2018
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
This paper describes the architecture and performance of ORACLE, an appr...
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10/18/2018
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Several dual-domain convolutional neural network-based methods show outs...
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02/17/2018
Nonparametric estimation of low rank matrix valued function
Let A:[0,1]→H_m (the space of Hermitian matrices) be a matrix valued fun...
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07/05/2017