Heng Zhao

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All published works

Action	Title	Year	Authors
+	A systematic review for transformer-based long-term series forecasting	2025	Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang
+ PDF Chat	Video Set Distillation: Information Diversification and Temporal Densification	2024	Yinjie Zhao Heng Zhao Bihan Wen Yew-Soon Ong Joey Tianyi Zhou
+	A Systematic Review for Transformer-based Long-term Series Forecasting	2023	Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang

Common Coauthors

Coauthor	Papers Together
Bingding Huang	2
Xumin Zuo	2
Liyilei Su	2
Joey Tianyi Zhou	1
Yew-Soon Ong	1
Yinjie Zhao	1
Xin Wang	1
Xin Wang	1
Rui Li	1
Rui Li	1
Bihan Wen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction	2017	Junbo Zhang Yu Zheng Dekang Qi	1
+ PDF Chat	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks	2018	Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu	1
+	Dilated Convolutions for Modeling Long-Distance Genomic Dependencies	2017	Ankit Gupta Alexander M. Rush	1
+ PDF Chat	Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network	2020	A. Sherstinsky	1
+ PDF Chat	Dilated Residual Networks	2017	Fisher Yu Vladlen Koltun Thomas Funkhouser	1
+ PDF Chat	Attend and Diagnose: Clinical Time Series Analysis Using Attention Models	2018	Huan Song Deepta Rajan Jayaraman J. Thiagarajan Andreas Spanias	1
+ PDF Chat	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series	2019	Qingsong Wen Jingkun Gao Xiaomin Song Liang Sun Huan Xu Shenghuo Zhu	1
+	DeepAR: Probabilistic forecasting with autoregressive recurrent networks	2019	David Salinas Valentín Flunkert Jan Gasthaus Tim Januschowski	1
+	<i>Digital Spectral Analysis with Applications</i>	1989	S.L. Marple William M. Carey	1
+	Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study	2020	Abdelhafid Zeroual Fouzi Harrou Abdelkader Dairi Ying Sun	1
+ PDF Chat	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks	2020	Zonghan Wu Shirui Pan Guodong Long Jing Jiang Xiaojun Chang Chengqi Zhang	1
+ PDF Chat	The ASHRAE Great Energy Predictor III competition: Overview and results	2020	Clayton Miller Pandarasamy Arjunan Anjukan Kathirgamanathan Chun Fu Jonathan Roth June Young Park Chris Balbach Krishnan Gowri Zoltán Nagy Anthony Fontanini	1
+ PDF Chat	Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction	2020	Cunjun Yu Xiao Ma Jiawei Ren Haiyu Zhao Shuai Yi	1
+ PDF Chat	Error measures for generalizing about forecasting methods: Empirical comparisons	1992	J. Scott Armstrong Fred Collopy	1
+ PDF Chat	A Unifying Review of Deep and Shallow Anomaly Detection	2021	Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen Grégoire Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus‐Robert Müller	1
+	Temporal Fusion Transformers for interpretable multi-horizon time series forecasting	2021	Bryan Lim Sercan Ö. Arık Nicolas Loeff Tomas Pfister	1
+ PDF Chat	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series	2021	Yinjun Wu Jingchao Ni Wei Cheng Bo Zong Dongjin Song Zhengzhang Chen Yanchi Liu Xuchao Zhang Haifeng Chen Susan B. Davidson	1
+ PDF Chat	Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT	2021	Zekai Chen Dingshuo Chen Xiao Zhang Zixuan Yuan Xiuzhen Cheng	1
+	TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data	2021	Chenxi Sun Shenda Hong Moxian Song Yen-Hsiu Chou Yongyue Sun Derun Cai Hongyan Li	1
+	Neural Temporal Point Processes: A Review	2021	Oleksandr Shchur Ali Caner Türkmen Tim Januschowski Stephan Günnemann	1
+ PDF Chat	A Transformer-based Framework for Multivariate Time Series Representation Learning	2021	George Zerveas Srideepika Jayaraman Dhaval Patel Anuradha Bhamidipaty Carsten Eickhoff	1
+	TCCT: Tightly-coupled convolutional transformer on time series forecasting	2022	Li Shen Yangzhu Wang	1
+ PDF Chat	SSDNet: State Space Decomposition Neural Network for Time Series Forecasting	2021	Yang Lin Irena Koprinska Mashud Rana	1
+	Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models	1970	George E. P. Box David A. Pierce	1
+ PDF Chat	Are Transformers Effective for Time Series Forecasting?	2023	Ailing Zeng Muxi Chen Lei Zhang Qiang Xu	1
+ PDF Chat	Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution	2023	Yan Li Xinjiang Lu Haoyi Xiong Jian Tang Jiantao Su Bo Jin Dejing Dou	1