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Xin Huang

Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, China, Shanghai Branch, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai, China, Shanghai Research Center for Quantum Sciences, Shanghai, China

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search


Apr 08, 2021
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang

* 12 pages 

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LSTM Based Sentiment Analysis for Cryptocurrency Prediction


Apr 03, 2021
Xin Huang, Wenbin Zhang, Yiyi Huang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang


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Single-photon imaging over 200 km


Mar 10, 2021
Zheng-Ping Li, Jun-Tian Ye, Xin Huang, Peng-Yu Jiang, Yuan Cao, Yu Hong, Chao Yu, Jun Zhang, Qiang Zhang, Cheng-Zhi Peng, Feihu Xu, Jian-Wei Pan

* Having been published in Optica 8, 344-349 (2021) 
* 6 pages, 6 figures 

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Graph Neural Networks: Taxonomy, Advances and Trends


Jan 18, 2021
Yu Zhou, Haixia Zheng, Xin Huang

* 42 pages, 7 figures 

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LLA: Loss-aware Label Assignment for Dense Pedestrian Detection


Jan 12, 2021
Zheng Ge, Jianfeng Wang, Xin Huang, Songtao Liu, Osamu Yoshie

* In the reviewing process of Pattern Recognition 

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A hybrid deep-learning approach for complex biochemical named entity recognition


Dec 20, 2020
Jian Liu, Lei Gao, Sujie Guo, Rui Ding, Xin Huang, Long Ye, Qinghua Meng, Asef Nazari, Dhananjay Thiruvady

* 21 pages, 6 figures 

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TabTransformer: Tabular Data Modeling Using Contextual Embeddings


Dec 11, 2020
Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar Karnin

* 7 pages, 5 figures 

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Using Machine Learning to Automate Mammogram Images Analysis


Dec 06, 2020
Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang


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AIM 2020: Scene Relighting and Illumination Estimation Challenge


Sep 27, 2020
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P S, Melvin Kuriakose, Jiji C V, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng

* ECCVW 2020. Data and more information on https://github.com/majedelhelou/VIDIT 

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Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures


Jun 03, 2020
Allen Wang, Xin Huang, Ashkan Jasour, Brian Williams

* To appear in Robotics: Science and Systems 

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Delving into the Imbalance of Positive Proposals in Two-stage Object Detection


May 23, 2020
Zheng Ge, Zequn Jie, Xin Huang, Chengzheng Li, Osamu Yoshie


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NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing


Apr 21, 2020
Xin Huang, Zheng Ge, Zequn Jie, Osamu Yoshie

* Accepted by CVPR2020. The first two authors contributed equally, and are listed in alphabetical order 

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CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy


Mar 18, 2020
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman

* 8 pages, 4 figures, 2 algorithms 

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PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression


Mar 16, 2020
Zheng Ge, Zequn Jie, Xin Huang, Rong Xu, Osamu Yoshie

* 6pages, accepted by ICME2020 

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DSSLP: A Distributed Framework for Semi-supervised Link Prediction


Mar 10, 2020
Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou


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Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)


Feb 11, 2020
Qingyu Li, Yilei Shi, Xin Huang, Xiao Xiang Zhu


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Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling


Nov 28, 2019
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman

* 8 pages, 5 figures, 1 table 

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Revised Progressive-Hedging-Algorithm Based Two-layer Solution Scheme for Bayesian Reinforcement Learning


Jun 21, 2019
Xin Huang, Duan Li, Daniel Zhuoyu Long

* 9 pages, 1 table, submitted to NeurIPS 2019, under review 

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Fast Algorithm for K-Truss Discovery on Public-Private Graphs


Jun 01, 2019
Soroush Ebadian, Xin Huang


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Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying


May 30, 2019
Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence Wong, Dawei Liu, Ka Lok Man, Xin Huang


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Hyperbolic Interaction Model For Hierarchical Multi-Label Classification


May 26, 2019
Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing


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Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification


May 24, 2019
Xin Huang, Boli Chen, Lin Xiao, Liping Jing


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Semi-Unsupervised Lifelong Learning for Sentiment Classification


Apr 30, 2019
Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence Wong, Dawei Liu, Ka Lok Man, Xin Huang


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CRAD: Clustering with Robust Autocuts and Depth


Apr 08, 2019
Xin Huang, Yulia R. Gel

* 2017 IEEE International Conference on Data Mining (ICDM), 925--930} (2017) 
* 9 pages, 6 figures 

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Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images


Apr 08, 2019
Lefei Zhang, Qian Zhang, Bo Du, Xin Huang, Yuan Yan Tang, Dacheng Tao


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