Yifan Sun

Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory

This paper considers deep visual recognition on long-tailed data, with t...
08/22/2020 ∙ by Jialun Liu, et al. ∙ 5 ∙ share

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MGPU-TSM: A Multi-GPU System with Truly Shared Memory

The sizes of GPU applications are rapidly growing. They are exhausting t...
08/05/2020 ∙ by Saiful A. Mojumder, et al. ∙ 0 ∙ share

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CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions

This paper proposes a self-supervised learning method for the person re-...
07/15/2020 ∙ by Zhongdao Wang, et al. ∙ 0 ∙ share

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HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems

While multi-GPU (MGPU) systems are extremely popular for compute-intensi...
07/08/2020 ∙ by Saiful A. Mojumder, et al. ∙ 0 ∙ share

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Embodied Self-supervised Learning by Coordinated Sampling and Training

Self-supervised learning can significantly improve the performance of do...
06/20/2020 ∙ 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. ∙ 10 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Yifan Sun

Featured Co-authors

Yi Yang

Francis Bach

Qi Tian

Jian Sun

Chi Zhang

Liang Zheng

Vaneet Aggarwal

Mengdi Wang

Wotao Yin

Shengjin Wang

Yichen Wei

Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory

MGPU-TSM: A Multi-GPU System with Truly Shared Memory

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions

HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems

Embodied Self-supervised Learning by Coordinated Sampling and Training

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

Polar Alignment and Atomic Decomposition

Summarizing CPU and GPU Design Trends with Product Data

Vehicle Re-identification with Viewpoint-aware Metric Learning

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

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

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

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

Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning

Wide Compression: Tensor Ring Nets

Deep Unsupervised Clustering Using Mixture of Autoencoders

Beyond Part Models: Person Retrieval with Refined Part Pooling

Straggler Mitigation in Distributed Optimization Through Data Encoding

A Simple Approach to Learn Polysemous Word Embeddings

SVDNet for Pedestrian Retrieval

Discovery of Evolving Semantics through Dynamic Word Embedding Learning