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Server Averaging for Federated Learning


Mar 22, 2021
George Pu, Yanlin Zhou, Dapeng Wu, Xiaolin Li


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Federated Unsupervised Representation Learning


Oct 18, 2020
Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li


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ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles


Sep 21, 2020
Xiaoyong Yuan, Lei Ding, Lan Zhang, Xiaolin Li, Dapeng Wu


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Distilled One-Shot Federated Learning


Sep 17, 2020
Yanlin Zhou, George Pu, Xiyao Ma, Xiaolin Li, Dapeng Wu


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Asking Complex Questions with Multi-hop Answer-focused Reasoning


Sep 16, 2020
Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Wu


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Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks


Sep 07, 2020
Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu

* accepted at EAI SecureComm 2020 

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PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders


Jul 13, 2020
Yanjun Li, Shujian Yu, Jose C. Principe, Xiaolin Li, Dapeng Wu


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A Batch Normalized Inference Network Keeps the KL Vanishing Away


Jun 01, 2020
Qile Zhu, Jianlin Su, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, Dapeng Wu

* An extension for the original ACL 2020 paper 

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Arbitrary-sized Image Training and Residual Kernel Learning: Towards Image Fraud Identification


May 22, 2020
Hongyu Li, Xiaogang Huang, Zhihui Fu, Xiaolin Li


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Knowledge Federation: Hierarchy and Unification


Feb 05, 2020
Hongyu Li, Dan Meng, Xiaolin Li


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Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring


Feb 03, 2020
Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Wu

* Revised version of paper accepted to Thirty-fourth AAAI Conference on Artificial Intelligence 

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DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction


Dec 01, 2019
Yanjun Li, Mohammad A. Rezaei, Chenglong Li, Xiaolin Li, Dapeng Wu

* IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019) 
* Accepted IEEE BIBM 2019 paper with minor revisions 

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Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning


Nov 15, 2019
Yanlin Zhou, Fan Lu, George Pu, Xiyao Ma, Runhan Sun, Hsi-Yuan Chen, Xiaolin Li, Dapeng Wu

* IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) 
* Accepted IROS 2019 paper with minor revisions 

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Generalized Batch Normalization: Towards Accelerating Deep Neural Networks


Dec 08, 2018
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li

* accepted at AAAI-19 

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FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model


Dec 03, 2018
Yanjun Li, Hengtong Kang, Ketian Ye, Shuyu Yin, Xiaolin Li

* Deep Reinforcement Learning Workshop (Oral) of NIPS 2018 

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Adversarial Examples: Attacks and Defenses for Deep Learning


Jul 07, 2018
Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li

* Github: https://github.com/chbrian/awesome-adversarial-examples-dl 

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Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics


May 11, 2018
Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac

* 47 pages, 6 Figures, Journal 

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Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection


Dec 04, 2017
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, Andre Gregio, Daniela Oliveira, Xiaolin Li

* 17 pages, 7 figures 

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DeepCancer: Detecting Cancer through Gene Expressions via Deep Generative Learning


Dec 13, 2016
Rajendra Rana Bhat, Vivek Viswanath, Xiaolin Li


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Identifying the Absorption Bump with Deep Learning


Nov 20, 2015
Min Li, Sudeep Gaddam, Xiaolin Li, Yinan Zhao, Jingzhe Ma, Jian Ge


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