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Multidimensional Uncertainty-Aware Evidential Neural Networks

Dec 26, 2020
Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen

* AAAI 2021 

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A Reweighted Meta Learning Framework for Robust Few Shot Learning

Nov 13, 2020
Krishnateja Killamsetty, Changbin Li, Chen Zhao, Rishabh Iyer, Feng Chen


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End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining

Oct 27, 2020
Song-Lu Chen, Shu Tian, Jia-Wei Ma, Qi Liu, Chun Yang, Feng Chen, Xu-Cheng Yin


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Uncertainty Aware Semi-Supervised Learning on Graph Data

Oct 24, 2020
Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho

* 27 pages 

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Robust Semi-Supervised Learning with Out of Distribution Data

Oct 07, 2020
Xujiang Zhao, Killamsetty Krishnateja, Rishabh Iyer, Feng Chen

* Preprint 

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PDFM: A Primal-Dual Fairness-Aware Framework for Meta-learning

Oct 05, 2020
Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan

* submitted to IEEE Transactions on Knowledge and Data Engineering (TKDE) 

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AI Centered on Scene Fitting and Dynamic Cognitive Network

Oct 02, 2020
Feng Chen


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A Primal-Dual Subgradient Approach for Fair Meta Learning

Sep 26, 2020
Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan

* 2020 IEEE International Conference on Data Mining (ICDM) 

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Unfairness Discovery and Prevention For Few-Shot Regression

Sep 23, 2020
Chen Zhao, Feng Chen

* 2020 IEEE International Conference on Knowledge Graph (ICKG) 

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Fair Meta-Learning For Few-Shot Classification

Sep 23, 2020
Chen Zhao, Changbin Li, Jincheng Li, Feng Chen

* 2020 IEEE International Conference on Knowledge Graph (ICKG). arXiv admin note: text overlap with arXiv:2009.11406 

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Rank-Based Multi-task Learning for Fair Regression

Sep 23, 2020
Chen Zhao, Feng Chen

* 2019 IEEE International Conference on Data Mining (ICDM) 

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SiENet: Siamese Expansion Network for Image Extrapolation

Jul 08, 2020
Xiaofeng Zhang, Feng Chen, Cailing Wang, Songsong Wu, Ming Tao, Guoping Jiang


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Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning

Jun 20, 2020
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen


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Brain-inspired global-local hybrid learning towards human-like intelligence

Jun 05, 2020
Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi

* 5 figures, 2 tables 

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Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

Mar 01, 2020
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu


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Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN

Nov 12, 2019
Feng Chen, Yunkai Shang, Bo Xu, Jincheng Hu


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Quantifying Classification Uncertainty using Regularized Evidential Neural Networks

Oct 15, 2019
Xujiang Zhao, Yuzhe Ou, Lance Kaplan, Feng Chen, Jin-Hee Cho

* Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data

Oct 12, 2019
Xujiang Zhao, Feng Chen, Jin-Hee Cho

* 2018 IEEE International Conference on Big Data (Big Data) 
* IEEE Bigdata 2018 

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Subjectivity Learning Theory towards Artificial General Intelligence

Sep 20, 2019
Xin Su, Shangqi Guo, Feng Chen


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Dual Averaging Method for Online Graph-structured Sparsity

May 26, 2019
Baojian Zhou, Feng Chen, Yiming Ying

* The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19), August 4--8, 2019 
* 11 pages, 14 figures 

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Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization

May 09, 2019
Baojian Zhou, Feng Chen, Yiming Ying

* Proceedings of the 36th International Conference on Machine Learning, 2019 
* published in ICML-2019 

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Convolution with even-sized kernels and symmetric padding

Mar 20, 2019
Shuang Wu, Guanrui Wang, Pei Tang, Feng Chen, Luping Shi

* 10 pages, 5 figures, 4 tables 

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NeuroTreeNet: A New Method to Explore Horizontal Expansion Network

Nov 22, 2018
Shenlong Lou, Yan Luo, Qiancong Fan, Feng Chen, Yiping Chen, Cheng Wang, Jonathan Li


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Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks

Nov 06, 2018
Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu

* 11 pages, 10 figures 

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A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks

Sep 20, 2018
Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao

* 18 pages, Accepted by IEEE International Conference on Data Mining (ICDM), 2017 

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Abstraction Learning

Sep 11, 2018
Fei Deng, Jinsheng Ren, Feng Chen


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Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator

Aug 30, 2018
Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu

* ICDM 2018 

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Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding

Aug 26, 2018
Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen

* 20 pages 

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