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Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

Aug 07, 2020
Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

* 7 pages, 2 figures 

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Visualizing Deep Graph Generative Models for Drug Discovery

Jul 20, 2020
Karan Yang, Chengxi Zang, Fei Wang

* 4 pages, 2020 KDD Workshop on Applied Data Science for Healthcare 

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Adversarial Infidelity Learning for Model Interpretation

Jun 27, 2020
Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang

* 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), August 23--27, 2020, Virtual Event, USA 

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MoFlow: An Invertible Flow Model for Generating Molecular Graphs

Jun 17, 2020
Chengxi Zang, Fei Wang


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Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration

Jun 16, 2020
Zheng Dang, Fei Wang, Mathieu Salzmann

* 11 pages 

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xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility

Jun 16, 2020
Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

* change the places of the last four figures 

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Why is Attention Not So Attentive?

Jun 10, 2020
Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang


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General-Purpose User Embeddings based on Mobile App Usage

May 27, 2020
Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang

* To be published in the KDD2020 proceedings as a full paper 

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Multi-Scale Boosted Dehazing Network with Dense Feature Fusion

Apr 28, 2020
Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang

* Accepted by CVPR 2020. The code are available at https://github.com/BookerDeWitt/MSBDN-DFF 

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Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Apr 15, 2020
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

* 16 pages, Accepted by TPAMI. arXiv admin note: substantial text overlap with arXiv:1803.08071 

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Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling

Mar 25, 2020
Jun Yang, Fei Wang

* 14 pages, 8 figures 

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GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Mar 25, 2020
Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang

* To appear in CVPR 2020 

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CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

Mar 20, 2020
Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian

* Accepted by CVPR2020 

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Gated Fusion Network for Degraded Image Super Resolution

Mar 04, 2020
Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang

* Accepted by IJCV. The code will be publicly available at https://github.com/BookerDeWitt/GFN-IJCV 

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A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation

Jan 01, 2020
Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, Feng Lu

* 9 pages, 7figures, AAAI-20 

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PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

Dec 30, 2019
Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Jiashi Feng

* Tech Report 

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Biomedical Evidence Generation Engine

Dec 07, 2019
Sendong Zhao, Fei Wang


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GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment

Nov 20, 2019
Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang

* CIKM 2019 

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Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records

Nov 15, 2019
Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow


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Federated Learning for Healthcare Informatics

Nov 13, 2019
Jie Xu, Fei Wang

* 25 pages 

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Interactive Attention for Semantic Text Matching

Nov 11, 2019
Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang


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Coreference Resolution as Query-based Span Prediction

Nov 05, 2019
Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li


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A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension

Sep 24, 2019
Yue Liao, Si Liu, Guanbin Li, Fei Wang, Yanjie Chen, Chen Qian, Bo Li


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Interpretable Cognitive Diagnosis with Neural Network

Sep 04, 2019
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang


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