Hao Sheng

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All published works
Action Title Year Authors
+ PDF Chat EVA-S3PC: Efficient, Verifiable, Accurate Secure Matrix Multiplication Protocol Assembly and Its Application in Regression 2024 S. Andrew Peng
Tianrui Liu
Terence Tao
D.X. Zhao
Hao Sheng
Haogang Zhu
+ PDF Chat NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results 2023 Yingqian Wang
Longguang Wang
Zhengyu Liang
Jungang Yang
Radu Timofte
Yulan Guo
Kai Jin
Zeqiang Wei
Angulia Yang
Sha Guo
+ PDF Chat A Distributed Privacy-Preserving Learning Dynamics in General Social Networks 2023 Youming Tao
Shuzhen Chen
Feng Li
Dongxiao Yu
Jiguo Yu
Hao Sheng
+ Detecting Neighborhood Gentrification at Scale via Street-level Visual Data 2023 Tianyuan Huang
Timothy Dai
Zhecheng Wang
Hesu Yoon
Hao Sheng
Andrew Y. Ng
Ram Rajagopal
Jackelyn Hwang
+ PDF Chat Detecting Neighborhood Gentrification at Scale via Street-level Visual Data 2022 Tianyuan Huang
Timothy Dai
Zhecheng Wang
Hesu Yoon
Hao Sheng
Andrew Y. Ng
Ram Rajagopal
Jackelyn Hwang
+ Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches 2022 Meiqing Li
Hao Sheng
+ PDF Chat Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data 2021 Hao Sheng
Keniel Yao
Sharad Goel
+ Multi-Task Time Series Forecasting With Shared Attention 2021 Zekai Chen
E Jiaze
Xiao Zhang
Hao Sheng
Xiuzheng Cheng
+ Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data 2021 Hao Sheng
Keniel Yao
Sharad Goel
+ Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond 2021 Tianyuan Huang
Zhecheng Wang
Hao Sheng
Andrew Y. Ng
Ram Rajagopal
+ Probability Paths and the Structure of Predictions over Time 2021 Zhiyuan Lin
Hao Sheng
Sharad Goel
+ ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery 2020 Jeremy Irvin
Hao Sheng
Neel Ramachandran
Sonja Johnson-Yu
Sharon Zhou
Kyle Story
Rose Rustowicz
C. W. Elsworth
Kemen Austin
Andrew Y. Ng
+ PDF Chat OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery 2020 Hao Sheng
Jeremy Irvin
Sasankh Munukutla
Shawn Zhang
Christopher T. Cross
Kyle Story
Rose Rustowicz
C. W. Elsworth
Zutao Yang
Mark Omara
+ ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery 2020 Jeremy Irvin
Hao Sheng
Neel Ramachandran
Sonja Johnson-Yu
Sharon Zhou
Kyle Story
Rose Rustowicz
C. W. Elsworth
Kemen Austin
Andrew Y. Ng
+ PDF Chat Multi-Task Time Series Forecasting With Shared Attention 2020 Zekai Chen
E Jiaze
Xiao Zhang
Hao Sheng
Xiuzheng Cheng
+ PDF Chat Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture 2020 Hao Sheng
Xiao Chen
Jingyi Su
Ram Rajagopal
Andrew Y. Ng
+ PDF The 1st Agriculture-Vision Challenge: Methods and Results 2020 Mang Tik Chiu
Xingqian Xu
Kai Wang
Jennifer Hobbs
Naira Hovakimyan
Thomas S. Huang
Humphrey Shi
Yunchao Wei
Zilong Huang
Alexander G. Schwing
+ The 1st Agriculture-Vision Challenge: Methods and Results 2020 Mang Tik Chiu
Xingqian Xu
Kai Wang
Jennifer Hobbs
Naira Hovakimyan
Thomas S. Huang
Humphrey Shi
Yunchao Wei
Zilong Huang
Alexander G. Schwing
+ Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture 2020 Hao Sheng
Xiao Chen
Jingyi Su
Ram Rajagopal
Andrew Y. Ng
+ Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models 2020 Eric Zelikman
Sharon Zhou
Jeremy Irvin
Cooper Raterink
Hao Sheng
Jack Kelly
Ram Rajagopal
Andrew Y. Ng
David John Gagne
+ OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery 2020 Hao Sheng
Jeremy Irvin
Sasankh Munukutla
Shawn Zhang
Christopher T. Cross
Kyle Story
Rose Rustowicz
C. W. Elsworth
Zutao Yang
Mark Omara
+ AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments 2020 Eric Li
Jingyi Su
Hao Sheng
L. Wai
+ ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery 2020 Jeremy Irvin
Hao Sheng
Neel Ramachandran
Sonja Johnson-Yu
Sharon Zhou
Kyle Story
Rose Rustowicz
C. W. Elsworth
Kemen Austin
Andrew Y. Ng
+ Generic Multiview Visual Tracking 2019 Minye Wu
Haibin Ling
Ning Bi
Shenghua Gao
Hao Sheng
Jingyi Yu
+ INVERSE SCATTERING TRANSFORMATION FOR THE VARIABLE COEFFICIENT SINE-GORDON TYPE EQUATION 1994 Hao Sheng
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Rethinking Atrous Convolution for Semantic Image Segmentation 2017 Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
5
+ PDF Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States 2017 Timnit Gebru
Jonathan Krause
Yilun Wang
Duyun Chen
Jia Deng
E Aiden
Li Fei-Fei
4
+ PDF Chat Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 2018 Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
4
+ PDF Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
4
+ PDF Chat Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture 2020 Hao Sheng
Xiao Chen
Jingyi Su
Ram Rajagopal
Andrew Y. Ng
3
+ PDF Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data 2019 Neal Jean
Sherrie Wang
Anshul Samar
George Azzari
David B. Lobell
Stefano Ermon
3
+ PDF Chat Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr DollĂĄr
3
+ EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 2019 Mingxing Tan
Quoc V. Le
3
+ Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis 2020 Mang Tik Chiu
Xingqian Xu
Yunchao Wei
Zilong Huang
Alexander G. Schwing
Robert J. Brunner
Hrant Khachatrian
Hovnatan Karapetyan
Ivan Dozier
Greg Rose
2
+ Multi-Task Learning for Classification with Dirichlet Process Priors 2007 Ya Xue
Xuejun Liao
Lawrence Carin
Balaji Krishnapuram
2
+ PDF Chat CCNet: Criss-Cross Attention for Semantic Segmentation 2019 Zilong Huang
Xinggang Wang
Lichao Huang
Chang Huang
Yunchao Wei
Wenyu Liu
2
+ DeepAR: Probabilistic forecasting with autoregressive recurrent networks 2019 David Salinas
ValentĂ­n Flunkert
Jan Gasthaus
Tim Januschowski
2
+ Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting 2019 Bryan Lim
Sercan Ö. Arık
Nicolas Loeff
Tomas Pfister
2
+ PDF Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding 2020 Zhecheng Wang
Haoyuan Li
Ram Rajagopal
2
+ PDF Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation 2020 Zhonghao Wang
Mo Yu
Yunchao Wei
Rogério Feris
Jinjun Xiong
Wen‐mei Hwu
Thomas S. Huang
Humphrey Shi
2
+ PDF Chat Cyclical Learning Rates for Training Neural Networks 2017 Leslie N. Smith
2
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
2
+ PDF Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping 2016 Sang Michael Xie
Neal Jean
Marshall Burke
David B. Lobell
Stefano Ermon
2
+ PDF Chat Residual Dense Network for Image Super-Resolution 2018 Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Yun Fu
2
+ PDF Chat Squeeze-and-Excitation Networks 2019 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
2
+ PDF Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning 2019 Rui Qian
Yunchao Wei
Humphrey Shi
Jiachen Li
Jiaying Liu
Thomas S. Huang
2
+ Meta Multi-Task Learning for Sequence Modeling 2018 Junkun Chen
Xipeng Qiu
Pengfei Liu
Xuanjing Huang
2
+ Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling 2014 Jun‐Young Chung
Çaǧlar GĂŒlçehre
Kyunghyun Cho
Yoshua Bengio
2
+ Neural Machine Translation by Jointly Learning to Align and Translate 2015 Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
2
+ Neural Machine Translation by Jointly Learning to Align and Translate 2014 Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
2
+ Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting 2019 Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu-Xiang Wang
Xifeng Yan
2
+ Absolute Radiation Measurement in Venus and Mars Entry Conditions 2012 Brett A. Cruden
Dinesh Prabhu
Ramon Martinez
2
+ PDF Chat SPGNet: Semantic Prediction Guidance for Scene Parsing 2019 Bowen Cheng
Liang-Chieh Chen
Yunchao Wei
Yukun Zhu
Zilong Huang
Jinjun Xiong
Thomas S. Huang
Wen‐mei Hwu
Humphrey Shi
Uiuc Uiuc
2
+ Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity 2010 Se Young Kim
Eric P. Xing
2
+ Instance Normalization: The Missing Ingredient for Fast Stylization 2016 Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
2
+ Recurrent neural network for text classification with multi-task learning 2016 Pengfei Liu
Xipeng Qiu
Xuanjing Huang
2
+ Differentiable Learning-to-Normalize via Switchable Normalization 2018 Ping Luo
Jiamin Ren
Zhanglin Peng
Ruimao Zhang
Jingyu Li
2
+ Decoupled Weight Decay Regularization 2017 Ilya Loshchilov
Frank Hutter
2
+ PDF Chat MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
2
+ WaveNet: A Generative Model for Raw Audio 2016 AĂ€ron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alexander Graves
Nal Kalchbrenner
Andrew Senior
Koray Kavukcuoglu
2
+ PDF Chat Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net 2018 Xingang Pan
Ping Luo
Jianping Shi
Xiaoou Tang
2
+ EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 2019 Mingxing Tan
Quoc V. Le
2
+ Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks 2018 Hyeonseob Nam
Hyoeun Kim
2
+ PDF Long Short-Term Memory-Networks for Machine Reading 2016 Jianpeng Cheng
Li Dong
Mirella Lapata
2
+ Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting 2017 Yaguang Li
Rose Yu
Cyrus Shahabi
Yan Liu
2
+ Generating Sequences With Recurrent Neural Networks 2013 Alex Graves
2
+ PDF Chat ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation 2018 Sachin Mehta
Mohammad Rastegari
Anat Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
2
+ PDF Chat The Cityscapes Dataset for Semantic Urban Scene Understanding 2016 Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
2
+ PDF Chat Class-Balanced Loss Based on Effective Number of Samples 2019 Yin Cui
Menglin Jia
Tsung-Yi Lin
Yang Song
Serge Belongie
2
+ Sequence to Sequence Learning with Neural Networks 2014 Ilya Sutskever
Oriol Vinyals
Quoc V. Le
2
+ PDF Effective Approaches to Attention-based Neural Machine Translation 2015 Thang Luong
Hieu Pham
Christopher D. Manning
2
+ PDF Chat Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation 2018 Yunchao Wei
Huaxin Xiao
Humphrey Shi
Zequn Jie
Jiashi Feng
Thomas S. Huang
2
+ PDF Chat DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images 2018 Ä°lke Demir
Krzysztof Koperski
David Lindenbaum
Guan Pang
Jing Huang
Saikat Basu
Forest Hughes
Devis Tuia
Ramesh Raskar
2
+ PDF DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2017 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2