b'Fei Wang'

Locally Free Weight Sharing for Network Width Search

Searching for network width is an effective way to slim deep neural netw...
02/10/2021 ∙ by Xiu Su, et al. ∙ 9 ∙ share

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Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

Most differentiable neural architecture search methods construct a super...
01/27/2021 ∙ by Yibo Yang, et al. ∙ 0 ∙ share

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Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients

Machine Learning (ML) models typically require large-scale, balanced tra...
01/11/2021 ∙ by Tingyi Wanyan, et al. ∙ 10 ∙ share

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MCMC Confidence Intervals and Biases

The recent paper "Simple confidence intervals for MCMC without CLTs" by ...
12/04/2020 ∙ by Yu Hang Jiang, et al. ∙ 0 ∙ share

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Biomedical Knowledge Graph Refinement with Embedding and Logic Rules

Currently, there is a rapidly increasing need for high-quality biomedica...
12/02/2020 ∙ by Sendong Zhao, et al. ∙ 0 ∙ share

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3D Registration for Self-Occluded Objects in Context

While much progress has been made on the task of 3D point cloud registra...
11/23/2020 ∙ by Zheng Dang, et al. ∙ 5 ∙ share

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Explicitly Learning Topology for Differentiable Neural Architecture Search

Differentiable neural architecture search (DARTS) has gained much succes...
11/18/2020 ∙ by Tao Huang, et al. ∙ 0 ∙ share

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A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task

Recently, 3D version has been improved greatly due to the development of...
11/17/2020 ∙ by Minglei Lu, et al. ∙ 18 ∙ share

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Data Agnostic Filter Gating for Efficient Deep Networks

To deploy a well-trained CNN model on low-end computation edge devices, ...
10/28/2020 ∙ by Xiu Su, et al. ∙ 0 ∙ share

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ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Neural architecture search (NAS) aims to produce the optimal sparse solu...
10/13/2020 ∙ by Yibo Yang, et al. ∙ 0 ∙ share

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Robust Finite Mixture Regression for Heterogeneous Targets

Finite Mixture Regression (FMR) refers to the mixture modeling scheme wh...
10/12/2020 ∙ by Jian Liang, et al. ∙ 7 ∙ share

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Domain Agnostic Learning for Unbiased Authentication

Authentication is the task of confirming the matching relationship betwe...
10/11/2020 ∙ by Jian Liang, et al. ∙ 6 ∙ share

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Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

Patient representation learning refers to learning a dense mathematical ...
10/06/2020 ∙ by Yuqi Si, et al. ∙ 32 ∙ share

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Suicide Risk Modeling with Uncertain Diagnostic Records

Motivated by the pressing need for suicide prevention through improving ...
09/05/2020 ∙ by Wenjie Wang, et al. ∙ 19 ∙ share

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HACCLE: An Ecosystem for Building Secure Multi-Party Computations

Cryptographic techniques have the potential to enable distrusting partie...
09/03/2020 ∙ by Yuyan Bao, et al. ∙ 0 ∙ share

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A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations

Privacy-preserving recommendations are recently gaining momentum, since ...
08/25/2020 ∙ by Mingkai Huang, et al. ∙ 26 ∙ share

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The Coupling/Minorization/Drift Approach to Markov Chain Convergence Rates

This review paper provides an introduction of Markov chains and their co...
08/24/2020 ∙ by Yu Hang Jiang, et al. ∙ 0 ∙ share

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A(DP)^2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy

As deep learning models are usually massive and complex, distributed lea...
08/21/2020 ∙ by Jie Xu, et al. ∙ 10 ∙ share

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Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

In real world applications like healthcare, it is usually difficult to b...
07/24/2020 ∙ by Yiqin Yu, et al. ∙ 19 ∙ share

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Visualizing Deep Graph Generative Models for Drug Discovery

Drug discovery aims at designing novel molecules with specific desired p...
07/20/2020 ∙ by Karan Yang, et al. ∙ 0 ∙ share

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MoFlow: An Invertible Flow Model for Generating Molecular Graphs

Generating molecular graphs with desired chemical properties driven by d...
06/17/2020 ∙ by Chengxi Zang, et al. ∙ 0 ∙ share

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xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility

Algorithmic fairness has received lots of interests in machine learning ...
06/15/2020 ∙ by Sen Cui, et al. ∙ 0 ∙ share

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gPAV-Based Unconditionally Energy-Stable Schemes for the Cahn-Hilliard Equation: Stability and Error Analysis

We present several first-order and second-order numerical schemes for th...
06/14/2020 ∙ by Yanxia Qian, et al. ∙ 0 ∙ share

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Why is Attention Not So Attentive?

Attention-based methods have played an important role in model interpret...
06/10/2020 ∙ by Bing Bai, et al. ∙ 30 ∙ share

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Adversarial Infidelity Learning for Model Interpretation

Model interpretation is essential in data mining and knowledge discovery...
06/09/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration

While 3D-3D registration is traditionally tacked by optimization-based m...
06/08/2020 ∙ by Zheng Dang, et al. ∙ 0 ∙ share

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General-Purpose User Embeddings based on Mobile App Usage

In this paper, we report our recent practice at Tencent for user modelin...
05/27/2020 ∙ by Junqi Zhang, et al. ∙ 0 ∙ share

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Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Many classical Computer Vision problems, such as essential matrix comput...
04/15/2020 ∙ by Zheng Dang, et al. ∙ 0 ∙ share

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A Framework for Behavior Privacy Preserving in Radio Frequency Signal

Recent years have witnessed the bloom development of the human-centered ...
04/10/2020 ∙ by Jianwei Liu, et al. ∙ 0 ∙ share

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Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling

Ensembling deep learning models is a shortcut to promote its implementat...
03/25/2020 ∙ by Jun Yang, et al. ∙ 10 ∙ share

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GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Training a supernet matters for one-shot neural architecture search (NAS...
03/25/2020 ∙ by Shan You, et al. ∙ 6 ∙ share

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CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

Keypoint-based detectors have achieved pretty-well performance. However,...
03/20/2020 ∙ by Zhiwei Dong, et al. ∙ 0 ∙ share

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Gated Fusion Network for Degraded Image Super Resolution

Single image super resolution aims to enhance image quality with respect...
03/02/2020 ∙ by Xinyi Zhang, et al. ∙ 6 ∙ share

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A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation

Human gaze is essential for various appealing applications. Aiming at mo...
01/01/2020 ∙ by Yihua Cheng, et al. ∙ 3 ∙ share

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PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

We propose a single-stage Human-Object Interaction (HOI) detection metho...
12/30/2019 ∙ by Yue Liao, et al. ∙ 4 ∙ share

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Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records

In recent years, we have witnessed an increased interest in temporal mod...
11/15/2019 ∙ by Prithwish Chakraborty, et al. ∙ 0 ∙ share

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Federated Learning for Healthcare Informatics

Recent rapid development of medical informatization and the correspondin...
11/13/2019 ∙ by Jie Xu, et al. ∙ 0 ∙ share

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Interactive Attention for Semantic Text Matching

Semantic text matching, which matches a target text to a source text, is...
11/11/2019 ∙ by Sendong Zhao, et al. ∙ 0 ∙ share

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Coreference Resolution as Query-based Span Prediction

In this paper, we present an accurate and extensible approach for the co...
11/05/2019 ∙ by Wei Wu, et al. ∙ 0 ∙ share

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GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment

Effective biomedical literature retrieval (BLR) plays a central role in ...
11/02/2019 ∙ by Sendong Zhao, et al. ∙ 0 ∙ share

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A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension

Referring expression comprehension aims to localize the object instance ...
09/16/2019 ∙ by Yue Liao, et al. ∙ 0 ∙ share

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Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming

Unmanned aircraft systems can perform some more dangerous and difficult ...
08/27/2019 ∙ by Zhencai Hu, et al. ∙ 0 ∙ share

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Learning Reinforced Attentional Representation for End-to-End Visual Tracking

Despite the fact that tremendous advances have been made by numerous rec...
08/27/2019 ∙ by Peng Gao, et al. ∙ 14 ∙ share

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Interpretable Cognitive Diagnosis with Neural Network

In intelligent education systems, one key issue is to discover students'...
08/23/2019 ∙ by Fei Wang, et al. ∙ 0 ∙ share

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Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems

In intelligent education systems, one key issue is to discover students'...
08/23/2019 ∙ by Fei Wang, et al. ∙ 0 ∙ share

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Neural Dynamics on Complex Networks

We introduce a deep learning model to learn continuous-time dynamics on ...
08/18/2019 ∙ by Chengxi Zang, et al. ∙ 0 ∙ share

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SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks

Parsing sketches via semantic segmentation is attractive but challenging...
08/15/2019 ∙ by Junkun Jiang, et al. ∙ 0 ∙ share

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Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models

Simultaneous inference after model selection is of critical importance t...
08/04/2019 ∙ by Fei Wang, et al. ∙ 2 ∙ share

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CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation

This paper proposes a novel cascaded U-Net for brain tumor segmentation....
07/17/2019 ∙ by Hongying Liu, et al. ∙ 12 ∙ share

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Non-technical Loss Detection with Statistical Profile Images Based on Semi-supervised Learning

In order to keep track of the operational state of power grid, the world...
07/09/2019 ∙ by Jiangteng Li, et al. ∙ 3 ∙ share

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Fei Wang

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