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Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks


Jul 21, 2021
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu


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CRIL: Continual Robot Imitation Learning via Generative and Prediction Model


Jul 02, 2021
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen


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RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning


Jun 14, 2021
Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh Iyer


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Local Aggressive Adversarial Attacks on 3D Point Cloud


May 19, 2021
Yiming Sun, Feng Chen, Zhiyu Chen, Mingjie Wang, Ruonan Li


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FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting


May 06, 2021
Bi-Ying Yan, Chao Yang, Feng Chen, Kohei Takeda, Changjun Wang


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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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