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Dynamic Labeling for Unlabeled Graph Neural Networks


Feb 23, 2021
Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang


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Representing Alzheimer's Disease Progression via Deep Prototype Tree


Feb 13, 2021
Lu Zhang, Li Wang, Dajiang Zhu

* Submitted to Information Processing in Medical Imaging (IPMI) 2021 

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MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning


Oct 05, 2020
Lu Zhang, Mo Yu, Tian Gao, Yue Yu

* Accepted Findings of EMNLP2020 

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OCoR: An Overlapping-Aware Code Retriever


Aug 20, 2020
Qihao Zhu, Zeyu Sun, Xiran Liang, Yingfei Xiong, Lu Zhang

* ASE 2020: 35th IEEE/ACM International Conference on Automated Software Engineering Proceedings 

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Optical Flow and Mode Selection for Learning-based Video Coding


Aug 06, 2020
Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges

* MMSP 2020, IEEE 22nd International Workshop on Multimedia Signal Processing, Sep 2020, Tampere, Finland 

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ModeNet: Mode Selection Network For Learned Video Coding


Jul 06, 2020
Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges

* Machine Learning for Signal Processing (MLSP) 2020, Sep 2020, Espoo, Finland 

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Semantic-driven Colorization


Jun 18, 2020
Man M. Ho, Lu Zhang, Alexander Raake, Jinjia Zhou

* This work is available at https://minhmanho.github.io/semantic-driven_colorization/ 

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Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection


May 22, 2020
Lu Zhang, Jian Zhang, Zhibin Li, Jingsong Xu

* We want to withdraw this paper. There are some insufficient explanations and bad figure presentation 

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Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching


Mar 05, 2020
Lu Zhang, Wenchao Ding, Jing Chen, Shaojie Shen

* Accepted by IEEE International Conference on Robotics and Automation (ICRA) 2020 

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Binary Probability Model for Learning Based Image Compression


Feb 21, 2020
Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Deforges

* International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020, 2020 

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NLocalSAT: Boosting Local Search with Solution Prediction


Jan 26, 2020
Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang

* 7 pages, 3 figures 

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A Fixation-based 360° Benchmark Dataset for Salient Object Detection


Jan 22, 2020
Yi Zhang, Lu Zhang, Wassim Hamidouche, Olivier Deforges

* 5 pages, 5 figures 

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TreeGen: A Tree-Based Transformer Architecture for Code Generation


Nov 28, 2019
Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang

* AAAI 2020 

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Quality Assessment of DIBR-synthesized views: An Overview


Nov 16, 2019
Shishun Tian, Lu Zhang, Wenbin Zou, Xia Li, Ting Su, Luce Morin, Olivier Deforges


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Fairness through Equality of Effort


Nov 11, 2019
Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu


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PC-Fairness: A Unified Framework for Measuring Causality-based Fairness


Oct 20, 2019
Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong

* Accepted as a poster to NeurIPS 2019 

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Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor


Jun 24, 2019
Wenchao Ding, Lu Zhang, Jing Chen, Shaojie Shen

* Accepted by IEEE Robotics and Automation Letters (IEEE RA-L) 

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The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection


Jan 09, 2019
Lu Zhang, Zhiyong Liu, Xiangyu Chen, Xu Yang

* 10 pages, 8 figures, 4 tables 

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A Grammar-Based Structural CNN Decoder for Code Generation


Nov 14, 2018
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang


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Contrast and visual saliency similarity-induced index for assessing image quality


Oct 16, 2018
Huizhen Jia, Lu Zhang, Tonghan Wang

* The paper was accepted for publication in IEEE ACCESS. The code has been published online at https://ww2.mathworks.cn/matlabcentral/fileexchange/69123-vspluscontrast 

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Fairness-aware Classification: Criterion, Convexity, and Bounds


Sep 13, 2018
Yongkai Wu, Lu Zhang, Xintao Wu


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FairGAN: Fairness-aware Generative Adversarial Networks


May 28, 2018
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu


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Achieving non-discrimination in prediction


Mar 28, 2018
Lu Zhang, Yongkai Wu, Xintao Wu


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On Discrimination Discovery and Removal in Ranked Data using Causal Graph


Mar 05, 2018
Yongkai Wu, Lu Zhang, Xintao Wu

* 9 pages 

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Crowd counting via scale-adaptive convolutional neural network


Feb 06, 2018
Lu Zhang, Miaojing Shi, Qiaobo Chen

* IEEE Winter Conf. on Applications of Computer Vision (WACV'18) 

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A causal framework for discovering and removing direct and indirect discrimination


Nov 22, 2016
Lu Zhang, Yongkai Wu, Xintao Wu


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Achieving non-discrimination in data release


Nov 22, 2016
Lu Zhang, Yongkai Wu, Xintao Wu


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