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Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks

Dec 20, 2020
Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang

* 8 pages, 1 figure, accepted in the AAAI Workshop on Deep Learning on Graphs 2021 

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Efficient Automatic CASH via Rising Bandits

Dec 08, 2020
Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui

* Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), 4763-4771 (2020) 

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MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements

Dec 05, 2020
Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui


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Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images

Dec 01, 2020
Rui Li, Shunyi Zheng, Chenxi Duan, Jianlin Su, Ce Zhang

* arXiv admin note: substantial text overlap with arXiv:2007.14902, arXiv:2009.02130 

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xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs

Nov 24, 2020
Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang

* 15 pages, 3 figures, under review in WWW2021 

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Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning

Nov 22, 2020
Xinzheng Zhang, Hang Su, Ce Zhang, Xiaowei Gu, Xiaoheng Tan, Peter M. Atkinson


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Learning User Representations with Hypercuboids for Recommender Systems

Nov 11, 2020
Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou

* Accepted by WSDM 2021 

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Online Active Model Selection for Pre-trained Classifiers

Oct 21, 2020
Mohammad Reza Karimi, Nezihe Merve Gürel, Bojan Karlaš, Johannes Rausch, Ce Zhang, Andreas Krause


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On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy

Oct 16, 2020
Cedric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang


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On Convergence of Nearest Neighbor Classifiers over Feature Transformations

Oct 15, 2020
Luka Rimanic, Cedric Renggli, Bo Li, Ce Zhang


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Which Model to Transfer? Finding the Needle in the Growing Haystack

Oct 13, 2020
Cedric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic


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MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions

Oct 12, 2020
Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

* Under submission 

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Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing

Sep 21, 2020
Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao

* 25 pages, 4 figures 

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A Principled Approach to Data Valuation for Federated Learning

Sep 14, 2020
Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song


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APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm

Aug 28, 2020
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang


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A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery

Aug 25, 2020
Ce Zhang, Azim Eskandarian

* Accepted by 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society, 2020 

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A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis

Aug 25, 2020
Ce Zhang, Azim Eskandarian

* Accepted by IEEE/CAA Journal of Automatica Sinica 

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Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph

Jul 29, 2020
Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou


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Adversarial Learning for Debiasing Knowledge Graph Embeddings

Jun 29, 2020
Mario Arduini, Lorenzo Noci, Federico Pirovano, Ce Zhang, Yash Raj Shrestha, Bibek Paudel


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Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

May 12, 2020
Bojan Karlaš, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang


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Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation

Apr 30, 2020
Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang


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Improving BERT with Self-Supervised Attention

Apr 29, 2020
Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai


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TrueBranch: Metric Learning-based Verification of Forest Conservation Projects

Apr 21, 2020
Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang

* *Authors have contributed equally. Published as Spotlight Presentation at ICLR 2020 Workshop on Tackling Climate Change with Machine Learning 

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Provable Robust Learning Based on Transformation-Specific Smoothing

Mar 20, 2020
Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li

* Corrected typos in Appendix 

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RAB: Provable Robustness Against Backdoor Attacks

Mar 19, 2020
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li


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End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines

Mar 06, 2020
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang

* 43 pages, 9 figures 

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A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet

Mar 03, 2020
Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng, Xin Jian

* 5 pages, 4 figures 

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