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Jian Wu
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches

Feb 21, 2021
Chen Li, Xintong Li, Md Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek


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Doctor Imitator: A Graph-based Bone Age Assessment Framework Using Hand Radiographs

Feb 10, 2021
Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, Jian Wu

* International Conference on Medical Image Computing and Computer-Assisted Intervention (2020) 
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Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels

Feb 09, 2021
Jintai Chen, Hongyun Yu, Ruiwei Feng, Danny Z. Chen, Jian Wu

* 2020 IEEE International Conference on Bioinformatics and Biomedicine 
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Speaker attribution with voice profiles by graph-based semi-supervised learning

Feb 06, 2021
Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno

* Interspeech 2020 
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Multi-View Adaptive Fusion Network for 3D Object Detection

Nov 02, 2020
Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, Jian Wu

* 11 pages,9 figures 
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Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images

Nov 01, 2020
Fengying Che, Ruichuan Shi, Zhi Li, Jian Wu, Shuqin Li, Weixing Chen, Hao Zhang, Xiaoyu Cui


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Large Scale Subject Category Classification of Scholarly Papers with Deep Attentive Neural Networks

Jul 27, 2020
Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C Lee Giles

* submitted to "Frontiers Mining Scientific Papers Volume II: Knowledge Discovery and Data Exploitation" 
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Speaker diarization with session-level speaker embedding refinement using graph neural networks

May 22, 2020
Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno

* ICASSP 2020 (45th International Conference on Acoustics, Speech, and Signal Processing) 
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UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Apr 19, 2020
Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu


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Continuous speech separation: dataset and analysis

Jan 30, 2020
Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Jinyu Li


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Method and Dataset Mining in Scientific Papers

Nov 29, 2019
Rujing Yao, Linlin Hou, Yingchun Ye, Ou Wu, Ji Zhang, Jian Wu


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Dunhuang Grottoes Painting Dataset and Benchmark

Jul 11, 2019
Tianxiu Yu, Shijie Zhang, Cong Lin, Shaodi You, Jian Wu, Jiawan Zhang, Xiaohong Ding, Huili An

* 8 pages, 1 column 
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End-to-End Multi-Channel Speech Separation

May 28, 2019
Rongzhi Gu, Jian Wu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu

* submitted to interspeech 2019 
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A comprehensive study of speech separation: spectrogram vs waveform separation

May 17, 2019
Fahimeh Bahmaninezhad, Jian Wu, Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu

* Submitted to INTERSPEECH 2019 
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X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks

May 16, 2019
Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng


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Personalized Context-aware Re-ranking for E-commerce Recommender Systems

Apr 15, 2019
Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei

* 11 pages 
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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Apr 14, 2019
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang


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Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning

Mar 12, 2019
Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson


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Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Nov 17, 2018
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu


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Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training

Nov 12, 2018
Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu


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The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

Apr 22, 2018
Jian Wu, Peter I. Frazier

* Minor edits and typo fixes. Please cite "J. Wu and P. Frazier. The parallel knowledge gradient method for batch bayesian optimization. In Advances In Neural Information Processing Systems, pp. 3126-3134. 2016" 
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Learned Iterative Decoding for Lossy Image Compression Systems

Mar 18, 2018
Alexander G. Ororbia, Ankur Mali, Jian Wu, Scott O'Connell, David Miller, C. Lee Giles

* Important edits / corrections made to algorithm/cost function description 
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Bayesian Optimization with Gradients

Feb 07, 2018
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson, Peter I. Frazier

* Advances in Neural Information Processing Systems 30 (NIPS), 2017 
 * Advances in Neural Information Processing Systems 30 (NIPS), 2017 
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Discretization-free Knowledge Gradient Methods for Bayesian Optimization

Jul 26, 2017
Jian Wu, Peter I. Frazier

* This paper, which combines and extends two conference papers (arXiv:1703.04389, arXiv:1606.04414), has been withdrawn by the authors because it was submitted prematurely before proper attribution could be provided 
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Multi-modal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection

Apr 12, 2016
Jinxing Li, David Zhang, Yongcheng Li, Jian Wu

* 9 pages, 8 figures, 30 conference 
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