Zhiwen Xiao

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Deep learning for time series classification: a review 2019 Hassan Ismail Fawaz
Germain Forestier
Jonathan Weber
Lhassane Idoumghar
Pierre-Alain MĂŒller
4
+ PDF Chat Multivariate LSTM-FCNs for time series classification 2019 Fazle Karim
Somshubra Majumdar
Houshang Darabi
Samuel Harford
4
+ From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers 2018 James Large
Anthony Bagnall
Simon Malinowski
Romain Tavenard
4
+ Unsupervised Deep Embedding for Clustering Analysis 2015 Junyuan Xie
Ross Girshick
Ali Farhadi
3
+ PDF Chat A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates 2019 James Large
Jason Lines
Anthony Bagnall
3
+ PDF Chat Benchmarking Multivariate Time Series Classification Algorithms. 2020 Alejandro Pasos Ruiz
Michael Flynn
Anthony Bagnall
3
+ Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features 2018 Naveen Sai Madiraju
Seid M. Sadat
Dimitry Fisher
H. Karimabadi
3
+ InceptionTime: Finding AlexNet for time series classification 2020 Hassan Ismail Fawaz
BenjamĂ­n Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
Jonathan Weber
Geoffrey I. Webb
Lhassane Idoumghar
Pierre-Alain Muller
François Petitjean
3
+ PDF Chat A time series forest for classification and feature extraction 2013 Houtao Deng
George C. Runger
Eugene Tuv
Martyanov Vladimir
3
+ PDF Chat Insights Into LSTM Fully Convolutional Networks for Time Series Classification 2019 Fazle Karim
Somshubra Majumdar
Houshang Darabi
3
+ PDF Chat State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention with Dilated 1D Convolutions 2019 Kyu J. Han
Ramon Prieto
Tao Ma
2
+ Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. 2020 Wensi Tang
Guodong Long
Lu Liu
Tianyi Zhou
Jing Jiang
Michael Blumenstein
2
+ A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization 2017 Giorgio Stampa
Marta Arias
David SĂĄnchez-Charles
Víctor Muntés-Mulero
Albert Cabellos‐Aparicio
2
+ Ultra-Fast Shapelets for Time Series Classification 2015 Martin Wistuba
Josif Grabocka
Lars Schmidt-Thieme
2
+ Local Cascade Ensemble for Multivariate Data Classification. 2020 Kevin Fauvel
Élisa Fromont
VĂ©ronique Masson
Philippe Faverdin
Alexandre Termier
2
+ PDF Chat Adversarial Attacks on Deep Neural Networks for Time Series Classification 2019 Hassan Ismail Fawaz
Germain Forestier
Jonathan Weber
Lhassane Idoumghar
Pierre-Alain MĂŒller
2
+ PDF Chat STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN 2020 Juan Chen
Zhiwen Xiao
Huanlai Xing
Penglin Dai
Shouxi Luo
Muhammad Azhar Iqbal
2
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
2
+ PDF Chat Experience-driven Networking: A Deep Reinforcement Learning based Approach 2018 Zhiyuan Xu
Jian Tang
Jingsong Meng
Wei Zhang
Yanzhi Wang
Chi Harold Liu
Dejun Yang
2
+ An overview of gradient descent optimization algorithms 2016 Sebastian Ruder
2
+ PDF Chat Temporally Identity-Aware SSD With Attentional LSTM 2019 Xingyu Chen
Junzhi Yu
Zhengxing Wu
2
+ PDF Chat The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances 2020 Alejandro Pasos Ruiz
Michael Flynn
James Large
Matthew Middlehurst
Anthony Bagnall
2
+ PDF Chat Time series classification from scratch with deep neural networks: A strong baseline 2017 Zhiguang Wang
Weizhong Yan
Tim Oates
2
+ YOLOv3: An Incremental Improvement. 2018 Joseph Redmon
Ali Farhadi
2
+ PDF Chat ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification 2019 Kathan Kashiparekh
Jyoti Narwariya
Pankaj Malhotra
Lovekesh Vig
Gautam Shroff
2
+ Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks 2017 Pranav Rajpurkar
Awni Hannun
Masoumeh Haghpanahi
Codie Bourn
Andrew Y. Ng
2
+ PDF Chat RTFN: A robust temporal feature network for time series classification 2021 Zhiwen Xiao
Xin Xu
Huanlai Xing
Shouxi Luo
Penglin Dai
Dawei Zhan
2
+ Residual Attention Net for Superior Cross-Domain Time Sequence Modeling 2020 Seth H. Huang
Lingjie Xu
Congwei Jiang
2
+ PDF Chat Objective Criteria for the Evaluation of Clustering Methods 1971 Telmo Menezes
Camille Roth
2
+ PDF Chat Resource Awareness In Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems 2020 Xianfu Chen
Tao Chen
Zhifeng Zhao
Honggang Zhang
Mehdi Bennis
Yusheng Ji
1
+ PDF Chat ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels 2020 Angus Dempster
François Petitjean
Geoffrey I. Webb
1
+ PDF Chat Efficient Transformers: A Survey 2022 Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
1
+ Multi-Task Learning with Deep Neural Networks: A Survey 2020 Michael Crawshaw
1
+ PDF Chat Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing 2020 Liang Wang
Kezhi Wang
Cunhua Pan
Wei Xu
Nauman Aslam
Lajos Hanzo
1
+ PDF Chat Fast and Accurate Time Series Classification with WEASEL 2017 Patrick SchÀfer
Ulf Leser
1
+ PDF Chat Proximity Forest: an effective and scalable distance-based classifier for time series 2019 BenjamĂ­n Lucas
Ahmed Shifaz
Charlotte Pelletier
Lachlan O’Neill
Nayyar A. Zaidi
Bart Goethals
François Petitjean
Geoffrey I. Webb
1
+ TinyBERT: Distilling BERT for Natural Language Understanding 2020 Xiaoqi Jiao
Yichun Yin
Lifeng Shang
Xin Jiang
Xiao Dong Chen
Linlin Li
Fang Wang
Qun Liu
1
+ PDF Chat Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks 2022 Nway Nway
Madyan Alsenwi
Yan Kyaw Tun
Zhu Han
Choong Seon Hong
1
+ PDF Chat Provably Secure Federated Learning against Malicious Clients 2021 Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
1
+ PDF Chat Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing 2021 Liang Wang
Kezhi Wang
Cunhua Pan
Wei Xu
Nauman Aslam
Arumugam Nallanathan
1
+ PDF Chat ConViT: improving vision transformers with soft convolutional inductive biases* 2022 StĂ©phane d’Ascoli
Hugo Touvron
Matthew L. Leavitt
Ari S. Morcos
Giulio Biroli
Levent Sagun
1
+ PDF Chat Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 2021 Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
1
+ PDF Chat Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data 2021 Sohei Itahara
Takayuki Nishio
Yusuke Koda
Masahiro Morikura
Koji Yamamoto
1
+ PDF Chat PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization 2021 Bingyan Liu
Yao Guo
Xiangqun Chen
1
+ Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics 2021 Jing Ma
Qiuchen Zhang
Jian Lou
Li Xiong
Joyce C. Ho
1
+ PDF Chat Conformer: Local Features Coupling Global Representations for Visual Recognition 2021 Zhiliang Peng
Wei Huang
Shanzhi Gu
Lingxi Xie
Yaowei Wang
Jianbin Jiao
Qixiang Ye
1
+ PDF Chat FLOP: Federated Learning on Medical Datasets using Partial Networks 2021 Qian Yang
Jianyi Zhang
Weituo Hao
Gregory P. Spell
Lawrence Carin
1
+ PDF Chat Mask Attention Networks: Rethinking and Strengthen Transformer 2021 Zhihao Fan
Yeyun Gong
Dayiheng Liu
Zhongyu Wei
Siyuan Wang
Jian Jiao
Nan Duan
Ruofei Zhang
Xuanjing Huang
1
+ PDF Chat Learnable Dynamic Temporal Pooling for Time Series Classification 2021 Dongha Lee
Seonghyeon Lee
Hwanjo Yu
1
+ PDF Chat Model-Contrastive Federated Learning 2021 Qinbin Li
Bingsheng He
Dawn Song
1