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Peng Jiang

co-first authors

Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks

Jan 19, 2021
Peng Jiang, Masuma Akter Rumi


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RELLIS-3D Dataset: Data, Benchmarks and Analysis

Dec 03, 2020
Peng Jiang, Philip Osteen, Maggie Wigness, Srikanth Saripalli


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Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace

Nov 12, 2020
Zhiyi Pan, Peng Jiang, Changhe Tu


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Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning

Jul 13, 2020
Peng Jiang, Gagan Agrawal


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Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users

May 23, 2020
Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua

* 25 pages, 4 figures 

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Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

Mar 29, 2020
Senlin Yang, Zhengfang Wang, Jing Wang, Anthony G. Cohn, Jiaqi Zhang, Peng Jiang, Peng Jiang, Qingmei Sui

* 24 pages,11 figures 

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Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds

Mar 11, 2020
Guangnan Wu, Zhiyi Pan, Peng Jiang, Changhe Tu


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LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation

Mar 02, 2020
Peng Jiang, Srikanth Saripalli

* 8 pages, 7 figures 

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GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

Dec 13, 2019
Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang

* 15pages,11figures 

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Compositional Network Embedding

Apr 18, 2019
Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang


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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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Deep Learning Inversion of Electrical Resistivity Data

Apr 10, 2019
Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Lanbo Liu, Peng Jiang

* 11 pages, 12 figures 

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Ranking in Genealogy: Search Results Fusion at Ancestry

Feb 27, 2019
Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi


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Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems

Feb 03, 2019
Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

* to appear at the webconf 2019 

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Deep learning Inversion of Seismic Data

Jan 23, 2019
Shucai Li, Bin Liu, Yuxiao Ren, Yangkang Chen, Senlin Yang, Yunhai Wang, Peng Jiang


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Super Diffusion for Salient Object Detection

Nov 22, 2018
Peng Jiang, Zhiyi Pan, Nuno Vasconcelos, Baoquan Chen, Jingliang Peng


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DifNet: Semantic Segmentation by Diffusion Networks

Oct 26, 2018
Peng Jiang, Fanglin Gu, Yunhai Wang, Changhe Tu, Baoquan Chen


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Multi-Source Pointer Network for Product Title Summarization

Oct 08, 2018
Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang

* 10 pages, To appear in CIKM 2018, fix mistakes in dataset stats 

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DiDA: Disentangled Synthesis for Domain Adaptation

May 21, 2018
Jinming Cao, Oren Katzir, Peng Jiang, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li


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