NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (24)

cs.IT2017

Channel Matrix Sparsity with Imperfect Channel State Information in Cloud-Radio Access Networks

Di Chen, Zhongyuan Zhao, Zhendong Mao +1

cs.SE2018

Applications of Psychological Science for Actionable Analytics

Di Chen, Wei Fu, Rahul Krishna +1

stat.ML2017

BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition

Guangxi Li, Jinmian Ye, Haiqin Yang +3

cond-mat.supr-con2018

Glassy Dynamics in a heavy ion irradiated NbSe2 crystal

Serena Eley, Karen Khilstrom, Roxana Fotovat +7

eess.IV2019

Convolutional Neural Networks Based Texture Modeling For AV1

Di Chen, Chichen Fu, Zoe Liu +1

The paper proposes a convolutional neural network based texture analyzer that identifies perceptually insignificant regions in video frames and integrates a new "texture mode" into…

#video compression#texture analysis#convolutional neural networks#AV1 codec
cs.CV2018

Person Search via A Mask-Guided Two-Stream CNN Model

Di Chen, Shanshan Zhang, Wanli Ouyang +2

cs.IT2016

Backhaul Traffic Balancing and Dynamic Content-Centric Clustering for the Downlink of Fog Radio Access Network

Di Chen, Stephan Schedler, Volker Kuehn

cs.LG2018

Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

Jinmian Ye, Linnan Wang, Guangxi Li +4

cs.CV2018

Texture Segmentation Based Video Compression Using Convolutional Neural Networks

Chichen Fu, Di Chen, Edward J. Delp +2

cs.LG2018

Bias Reduction via End-to-End Shift Learning: Application to Citizen Science

Di Chen, Carla P. Gomes

cs.LG2017

Deep Multi-Species Embedding

Di Chen, Yexiang Xue, Shuo Chen +2

cs.LG2019

Deep Reasoning Networks: Thinking Fast and Slow

Di Chen, Yiwei Bai, Wenting Zhao +3

eess.IV2018

AV1 Video Coding Using Texture Analysis With Convolutional Neural Networks

Di Chen, Chichen Fu, Fengqing Zhu

cs.LG2017

Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder

Luming Tang, Yexiang Xue, Di Chen +1

cs.SE2018

Building Better Quality Predictors Using "$ε$-Dominance"

Wei Fu, Tim Menzies, Di Chen +1

cs.DS2016

Minmax Tree Facility Location and Sink Evacuation with Dynamic Confluent Flows

Di Chen, Mordecai Golin

eess.IV2019

Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization

Weisen Wang, Zhiyan Xu, Weihong Yu +8

The paper introduces an end‑to‑end two‑stream convolutional neural network that jointly processes color fundus and OCT images for classifying age‑related macular degeneration, usin…

#age-related macular degeneration#multimodal learning#two-stream cnn#loose pair training
physics.flu-dyn2018

Closed-form solution for the edge vortex of a revolving plate

Di Chen, Dmitry Kolomenskiy, Hao Liu

cs.SD2019

Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant

Johan Bjorck, Brendan H. Rappazzo, Di Chen +3

eess.IV2018

Multi-Reference Video Coding Using Stillness Detection

Di Chen, Zoe Liu, Yaowu Xu +2

cs.SE2017

Replicating and Scaling up Qualitative Analysis using Crowdsourcing: A Github-based Case Study

Di Chen, Kathryn T. Stolee, Tim Menzies

cs.SE2019

Replication Can Improve Prior Results: A GitHub Study of Pull Request Acceptance

Di Chen, Kathyrn Stolee, Tim Menzies

cs.LG2018

End-to-End Learning for the Deep Multivariate Probit Model

Di Chen, Yexiang Xue, Carla P. Gomes

cs.DS2018

Minmax Centered k-Partitioning of Trees and Applications to Sink Evacuation with Dynamic Confluent Flows

Di Chen, Mordecai J. Golin