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Exploring Lexical Irregularities in Hypothesis-OnlyModels of Natural Language Inference

Jan 20, 2021
Qingyuan Hu, Yi Zhang, Kanishka Misra, Julia Rayz

* Accepted by 2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC). IEEE 

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LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT

Dec 13, 2020
Yi Zhang, Hu Chen, Wenjun Xia, Yang Chen, Baodong Liu, Yan Liu, Huaiqiang Sun, Jiliu Zhou

* 10 pages, 11 figures 

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Meta learning to classify intent and slot labels with noisy few shot examples

Nov 30, 2020
Shang-Wen Li, Jason Krone, Shuyan Dong, Yi Zhang, Yaser Al-onaizan

* accepted by IEEE Spoken Language Technology Workshop, 2021 

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Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography

Oct 27, 2020
Xiang Chen, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang

* 4 pages, 3 figure 

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CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels

Oct 27, 2020
Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang

* 4 pages, 3 figures 

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DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems

Oct 19, 2020
Yi Zhang, Akash Doshi, Rob Liston, Wai-tian Tan, Xiaoqing Zhu, Jeffrey G. Andrews, Robert W. Heath

* Journal paper (16 pages and 12 figures) to appear in IEEE Transactions on Wireless Communications 

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Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?

Oct 16, 2020
Zhiyuan Li, Yi Zhang, Sanjeev Arora

* 24 pages, 1 figure 

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Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks

Oct 10, 2020
Beiran Chen, Yi Zhang, George Iosifidis, Mingming Liu

* This paper has been accepted by the IEEE 6th World Forum on Internet of Things conference 

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Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model

Sep 27, 2020
Zhuonan He, Yikun Zhang, Yu Guan, Shanzhou Niu, Yi Zhang, Yang Chen, Qiegen Liu


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RESA: Recurrent Feature-Shift Aggregator for Lane Detection

Aug 31, 2020
Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai


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Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing

Aug 13, 2020
Yi Zhang, Jitao Sang


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Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection

Jun 14, 2020
Zerui Shao, Yifei Pu, Jiliu Zhou, Bihan Wen, Yi Zhang


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Detecting Problem Statements in Peer Assessments

May 30, 2020
Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer

* 8 pages, 9 images. Extended version of a paper published at EDM 2020, 13th International Conference on Educational Data Mining 

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Parallel Data Augmentation for Formality Style Transfer

May 14, 2020
Yi Zhang, Tao Ge, Xu Sun

* Accepted by ACL 2020. arXiv admin note: text overlap with arXiv:1909.06002 

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Vehicle Re-Identification Based on Complementary Features

May 09, 2020
Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao


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Learning to Classify Intents and Slot Labels Given a Handful of Examples

Apr 22, 2020
Jason Krone, Yi Zhang, Mona Diab

* 8 pages, 2 figures 

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Topological Quantum Compiling with Reinforcement Learning

Apr 09, 2020
Yuan-Hang Zhang, Pei-Lin Zheng, Yi Zhang, Dong-Ling Deng

* 9 pages, 9 figures 

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Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections

Mar 19, 2020
Yi-An Lai, Xuan Zhu, Yi Zhang, Mona Diab

* Accepted by LREC 2020 

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Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation

Mar 18, 2020
Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan Yuille

* The first two authors contributed equally to this work 

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A Sample Complexity Separation between Non-Convex and Convex Meta-Learning

Feb 25, 2020
Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora

* 34 pages 

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Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality

Feb 24, 2020
Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora


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No-Regret Prediction in Marginally Stable Systems

Feb 20, 2020
Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang


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Deep Multi-Task Learning via Generalized Tensor Trace Norm

Feb 12, 2020
Yi Zhang, Yu Zhang, Wei Wang


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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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Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition

Dec 31, 2019
Yi Zhang, Chong Wang, Ye Zheng, Jieyu Zhao, Yuqi Li, Xijiong Xie


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Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

Dec 31, 2019
Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang


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