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Ce Zhang

Multilingual Language Models Predict Human Reading Behavior


Apr 12, 2021
Nora Hollenstein, Federico Pirovano, Ce Zhang, Lena Jäger, Lisa Beinborn

* accepted at NAACL 2021 
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Distributed Learning Systems with First-order Methods


Apr 12, 2021
Ji Liu, Ce Zhang

* Foundations and Trends in Databases: Vol. 9: No. 1 
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SaNet: Scale-aware Neural Network for Semantic Labelling of Multiple Spatial Resolution Aerial Images


Apr 10, 2021
Libo Wang, Shenghui Fang, Ce Zhang, Rui Li, Chenxi Duan, Xiaoliang Meng, Peter M. Atkinson

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TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness


Apr 01, 2021
Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin Rubinstein, Ce Zhang, Bo Li

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DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation


Mar 20, 2021
Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li

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* 29 pages, 3 figures, 6 tables 
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Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting


Mar 13, 2021
Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Conguri Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang

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* Accepted by NeurIPS 2020. 20 pages, 7 figures 
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Evolving Attention with Residual Convolutions


Feb 20, 2021
Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

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Switch Spaces: Learning Product Spaces with Sparse Gating


Feb 17, 2021
Shuai Zhang, Yi Tay, Wenqi Jiang, Da-cheng Juan, Ce Zhang

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Decoding EEG Brain Activity for Multi-Modal Natural Language Processing


Feb 17, 2021
Nora Hollenstein, Cedric Renggli, Benjamin Glaus, Maria Barrett, Marius Troendle, Nicolas Langer, Ce Zhang

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A Data Quality-Driven View of MLOps


Feb 15, 2021
Cedric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlaš, Wentao Wu, Ce Zhang

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1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed


Feb 04, 2021
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He

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* arXiv admin note: text overlap with arXiv:2008.11343 
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EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification


Feb 01, 2021
Ce Zhang, Young-Keun Kim, Azim Eskandarian

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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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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