Chiao-Tung Chan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series	2024	Ching Chang Chiao-Tung Chan Wei‐Yao Wang Wen-Chih Peng Tien-Fu Chen
+ PDF Chat	TimeDRL: Disentangled Representation Learning for Multivariate Time-Series	2024	Ching Chang Chiao-Tung Chan Wei‐Yao Wang Wen-Chih Peng Tien-Fu Chen
+	TimeDRL: Disentangled Representation Learning for Multivariate Time-Series	2023	Ching S. Chang Chiao-Tung Chan Wei‐Yao Wang Wen-Chih Peng Tien-Fu Chen

Common Coauthors

Coauthor	Papers Together
Wei‐Yao Wang	3
Wen-Chih Peng	3
Tien-Fu Chen	3
Ching Chang	2
Ching S. Chang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks	2018	Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu	1
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	1
+	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	2018	Shaojie Bai J. Zico Kolter Vladlen Koltun	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	1
+	Representation Degeneration Problem in Training Natural Language Generation Models	2019	Jun Gao Di He Xu Tan Tao Qin Liwei Wang Tie‐Yan Liu	1
+	Unsupervised Scalable Representation Learning for Multivariate Time Series	2019	Jean-Yves Franceschi Aymeric Dieuleveut Martin Jaggi	1
+	How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings	2019	Kawin Ethayarajh	1
+	Graph Contrastive Learning with Augmentations	2020	Yuning You Tianlong Chen Yongduo Sui Ting Chen Zhangyang Wang Yang Shen	1
+ PDF Chat	Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks	2017	Terry Taewoong Um Franz Pfister Daniel Pichler Satoshi Endo M. Lang Sandra Hirche Urban M. Fietzek Dana Kulić	1
+ PDF Chat	Clustering based Contrastive Learning for Improving Face Representations	2020	Vivek Sharma Makarand Tapaswi M. Saquib Sarfraz Rainer Stiefelhagen	1
+ PDF Chat	Self-Supervised Learning of Graph Neural Networks: A Unified Review	2022	Yaochen Xie Xu Zhao Jingtun Zhang Zhengyang Wang Shuiwang Ji	1
+	Gated Transformer Networks for Multivariate Time Series Classification	2021	Minghao Liu Shengqi Ren Siyuan Ma Jiahui Jiao Yizhou Chen Zhiguang Wang Wei Song	1
+ PDF Chat	SimCSE: Simple Contrastive Learning of Sentence Embeddings	2021	Tianyu Gao Xingcheng Yao Danqi Chen	1
+	Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding	2021	Sana Tonekaboni Danny Eytan Anna Goldenberg	1
+ PDF Chat	Exploring Simple Siamese Representation Learning	2021	Xinlei Chen Kaiming He	1
+ PDF Chat	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting	2021	Haoyi Zhou Shanghang Zhang Jieqi Peng Shuai Zhang Jianxin Li Hui Xiong Wancai Zhang	1
+	Time-Series Representation Learning via Temporal and Contextual Contrasting	2021	Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min Wu Chee Keong Kwoh Xiaoli Li Cuntai Guan	1
+ PDF Chat	TS2Vec: Towards Universal Representation of Time Series	2022	Zhihan Yue Yujing Wang Juanyong Duan Tianmeng Yang Congrui Huang Yunhai Tong Bixiong Xu	1
+	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy	2021	Jiehui Xu Haixu Wu Jianmin Wang Mingsheng Long	1
+ PDF Chat	SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation	2022	Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li	1
+ PDF Chat	DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings	2022	Yung-Sung Chuang Rumen Dangovski Hongyin Luo Yang Zhang Shiyu Chang Marin Soljačić Shang-Wen Li Scott Yih Yoon Kim James Glass	1
+	How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning	2022	Chaoning Zhang Kang Zhang Chenshuang Zhang Trung X. Pham Chang D. Yoo In So Kweon	1
+	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	2022	Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi	1
+	Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	2022	Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Žitnik	1
+	SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption	2021	Dara Bahri Heinrich Jiang Yi Tay Donald Metzler	1
+	Large-Scale Representation Learning on Graphs via Bootstrapping	2021	Shantanu Thakoor Corentin Tallec Mohammad Gheshlaghi Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Veličković Michal Vaľko	1
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin F. Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	1
+	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers	2022	Yuqi Nie Nam Hoai Nguyen Phanwadee Sinthong Jayant Kalagnanam	1
+	SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting	2023	Xiaochen Zheng Xingyu Chen Manuel Schürch Amina Mollaysa Ahmed Allam Michael Krauthammer	1
+	Rethinking Data Augmentation for Tabular Data in Deep Learning	2023	Soma Onishi Shoya Meguro	1
+ PDF Chat	MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series	2023	Qianwen Meng Hangwei Qian Yong Liu Lizhen Cui Yonghui Xu Zhiqi Shen	1
+ PDF Chat	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects	2024	Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin Yong Liu James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song	1