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Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping


Sep 05, 2021
Zhenfeng Shao, Gui Cheng, Deren Li, Xiao Huang, Zhipeng Lu, Jian Liu


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Dirichlet Energy Constrained Learning for Deep Graph Neural Networks


Jul 06, 2021
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu


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GLSD: The Global Large-Scale Ship Database and Baseline Evaluations


Jun 05, 2021
Zhenfeng Shao, Jiaming Wang, Lianbing Deng, Xiao Huang, Tao Lu, Ruiqian Zhang, Xianwei Lv, Qing Ding, Zhiqiang Wang

* 9 pages, 5 figures 

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Pan-sharpening via High-pass Modification Convolutional Neural Network


May 24, 2021
Jiaming Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Jiayi Ma

* 5 pages, 5 figures, accepted by the 28th IEEE International Conference on Image Processing (ICIP 2021) 

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SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising


May 23, 2021
Zhiqiang Wang, Zhenfeng Shao, Xiao Huang, Jiaming Wang, Tao Lu, Sihang Zhang

* 5 pages, 5 figures, submitted to IEEE Signal Processing Letters 

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Unsupervised Remote Sensing Super-Resolution via Migration Image Prior


May 23, 2021
Jiaming Wang, Zhenfeng Shao, Tao Lu, Xiao Huang, Ruiqian Zhang, Yu Wang

* 6 pages, 4 figures. IEEE International Conference on Multimedia and Expo (ICME) 2021 

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Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases


Mar 03, 2021
Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou

* 15 pages. 10 figures, 3 tables 

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A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds


Mar 01, 2021
Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang


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A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds


Mar 01, 2021
Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang


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Dynamic Memory based Attention Network for Sequential Recommendation


Feb 18, 2021
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu


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Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation


Oct 15, 2020
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brungel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Ruckert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank

* 18 pages, 17 figures, 10 tables 

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Simulating multi-exit evacuation using deep reinforcement learning


Jul 11, 2020
Dong Xu, Xiao Huang, Joseph Mango, Xiang Li, Zhenlong Li

* 25 pages, 5 figures, submitted to Transactions in GIS 

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A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming


Jun 26, 2020
Xiaoming Li, Chun Wang, Xiao Huang, Yimin Nie


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Towards Deeper Graph Neural Networks with Differentiable Group Normalization


Jun 12, 2020
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu


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Teaching Machine Comprehension with Compositional Explanations


May 02, 2020
Qinyuan Ye, Xiao Huang, Xiang Ren


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TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition


Apr 24, 2020
Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren

* Accepted to the ACL 2020. Camera-ready version. The first two authors contributed equally. Code and data: https://github.com/INK-USC/TriggerNER 

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DDKSP: A Data-Driven Stochastic Programming Framework for Car-Sharing Relocation Problem


Jan 20, 2020
Xiaoming Li, Chun Wang, Xiao Huang

* arXiv admin note: text overlap with arXiv:1909.09293 

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Translating multispectral imagery to nighttime imagery via conditional generative adversarial networks


Dec 28, 2019
Xiao Huang, Dong Xu, Zhenlong Li, Cuizhen Wang

* 4 pages, 3 figures, submitted to the 2020 IEEE International Geoscience and Remote Sensing Symposium 

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Multi-Channel Graph Convolutional Networks


Dec 17, 2019
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu


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Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling


Oct 09, 2019
Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren

* 13 pages, 7 figures 

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Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient Adaptation


Oct 04, 2019
Xiao Huang, Li Dong, Elizabeth Boschee, Nanyun Peng

* 9 pages of main content + 4 pages of references and appendix. 4 figures and 2 tables in the main content. Accepted by CoNLL 2019 

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A Two-Stage Stochastic Programming Model for Car-Sharing Problem using Kernel Density Estimation


Sep 20, 2019
Xiaoming Li, Chun Wang, Xiao Huang


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Auto-GNN: Neural Architecture Search of Graph Neural Networks


Sep 10, 2019
Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu


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A Multimodal Vision Sensor for Autonomous Driving


Aug 15, 2019
Dongming Sun, Xiao Huang, Kailun Yang


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SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks


Aug 11, 2019
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou

* 5 pages, in proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM) 

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Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors


May 14, 2019
Ruiqi Cheng, Kaiwei Wang, Shufei Lin, Weijian Hu, Kailun Yang, Xiao Huang, Huabing Li, Dongming Sun, Jian Bai

* Submitted to ITSC 2019 

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