Yifan Sun

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Technicolor ∙ Northeastern University ∙ Tsinghua University ∙ The University of British Columbia

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data

We propose a neural network based approach for extracting models from dy...
08/08/2019 ∙ by Yifan Sun, et al. ∙ 29 ∙ share

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Beyond Part Models: Person Retrieval with Refined Part Pooling

Employing part-level features for pedestrian image description offers fi...
11/26/2017 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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SVDNet for Pedestrian Retrieval

This paper proposes the SVDNet for retrieval problems, with focus on the...
03/16/2017 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Deep Unsupervised Clustering Using Mixture of Autoencoders

Unsupervised clustering is one of the most fundamental challenges in mac...
12/21/2017 ∙ by Dejiao Zhang, et al. ∙ 0 ∙ share

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A Simple Approach to Learn Polysemous Word Embeddings

Many NLP applications require disambiguating polysemous words. Existing ...
07/06/2017 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Discovery of Evolving Semantics through Dynamic Word Embedding Learning

During the course of human language evolution, the semantic meanings of ...
03/02/2017 ∙ by Zijun Yao, et al. ∙ 0 ∙ share

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Straggler Mitigation in Distributed Optimization Through Data Encoding

Slow running or straggler tasks can significantly reduce computation spe...
11/14/2017 ∙ by Can Karakus, et al. ∙ 0 ∙ share

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Wide Compression: Tensor Ring Nets

Deep neural networks have demonstrated state-of-the-art performance in a...
02/25/2018 ∙ by Wenqi Wang, et al. ∙ 0 ∙ share

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Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

Performance of distributed optimization and learning systems is bottlene...
03/14/2018 ∙ by Can Karakus, et al. ∙ 0 ∙ share

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MGSim + MGMark: A Framework for Multi-GPU System Research

The rapidly growing popularity and scale of data-parallel workloads dema...
10/15/2018 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

This paper considers a realistic problem in person re-identification (re...
04/01/2019 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Learning low-dimensional state embeddings and metastable clusters from time series data

This paper studies how to find compact state embeddings from high-dimens...
06/01/2019 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Vehicle Re-identification with Viewpoint-aware Metric Learning

This paper considers vehicle re-identification (re-ID) problem. The extr...
10/09/2019 ∙ by Ruihang Chu, et al. ∙ 0 ∙ share

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Polar Alignment and Atomic Decomposition

Structured optimization uses a prescribed set of atoms to assemble a sol...
12/11/2019 ∙ by Zhenan Fan, et al. ∙ 0 ∙ share

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Summarizing CPU and GPU Design Trends with Product Data

Moore's Law and Dennard Scaling have guided the semiconductor industry f...
11/26/2019 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Circle Loss: A Unified Perspective of Pair Similarity Optimization

This paper provides a pair similarity optimization viewpoint on deep fea...
02/25/2020 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective

This paper considers learning deep features from long-tailed data. We ob...
02/25/2020 ∙ by Jialun Liu, et al. ∙ 0 ∙ share

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Safe Screening for the Generalized Conditional Gradient Method

The conditional gradient method (CGM) has been widely used for fast spar...
02/22/2020 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Yifan Sun

Featured Co-authors

Yi Yang

Francis Bach

Qi Tian

Jian Sun

Chi Zhang

Liang Zheng

Vaneet Aggarwal

Mengdi Wang

Shengjin Wang

Wotao Yin

Laura Balzano

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data

Beyond Part Models: Person Retrieval with Refined Part Pooling

SVDNet for Pedestrian Retrieval

Deep Unsupervised Clustering Using Mixture of Autoencoders

A Simple Approach to Learn Polysemous Word Embeddings

Discovery of Evolving Semantics through Dynamic Word Embedding Learning

Straggler Mitigation in Distributed Optimization Through Data Encoding

Wide Compression: Tensor Ring Nets

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

MGSim + MGMark: A Framework for Multi-GPU System Research

Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

Learning low-dimensional state embeddings and metastable clusters from time series data

Vehicle Re-identification with Viewpoint-aware Metric Learning

Polar Alignment and Atomic Decomposition

Summarizing CPU and GPU Design Trends with Product Data

Circle Loss: A Unified Perspective of Pair Similarity Optimization

Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective

Safe Screening for the Generalized Conditional Gradient Method