Arian Prabowo

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics	2024	Xiachong Lin Arian Prabowo Imran Razzak Hao Xue Matthew Amos Sam Behrens Flora D. Salim
+ PDF Chat	Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned	2024	Du Yin Jinliang Deng Shuang Ao Zechen Li Hao Xue Arian Prabowo Renhe Jiang Zipei Fan Flora D. Salim
+ PDF Chat	Exploring Capabilities of Time Series Foundation Models in Building Analytics	2024	Xiachong Lin Arian Prabowo Imran Razzak Hao Xue Matthew Amos Sam Behrens Flora D. Salim
+ PDF Chat	XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges	2024	Du Yin Hao Xue Arian Prabowo Shuang Ao Flora D. Salim
+ PDF Chat	Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned	2024	Du Yin Jinliang Deng Shuang Ao Zechen Li Hao Xue Arian Prabowo Renhe Jiang Xuan Song Flora D. Salim
+ PDF Chat	BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics	2024	Arian Prabowo Xiachong Lin Imran Razzak Hao Xue Emily W. Yap Matthew Amos Flora D. Salim
+ PDF Chat	A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings	2024	Xiachong Lin Arian Prabowo Imran Razzak Hao Xue Matthew Amos Sam Behrens Stephen G. White Flora D. Salim
+ PDF Chat	Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning	2023	Arian Prabowo Kaixuan Chen Hao Xue Subbu Sethuvenkatraman Flora D. Salim
+	Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting	2023	Arian Prabowo Wei Shao Hao Xue Piotr Koniusz Flora D. Salim
+	Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT)	2023	Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim
+	Message Passing Neural Networks for Traffic Forecasting	2023	Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim
+	Continually learning out-of-distribution spatiotemporal data for robust energy forecasting	2023	Arian Prabowo Kaixuan Chen Hao Xue Subbu Sethuvenkatraman Flora D. Salim
+ PDF Chat	Generative Adversarial Networks for Spatio-temporal Data: A Survey	2022	Nan Gao Hao Xue Wei Shao Sichen Zhao Kyle K. Qin Arian Prabowo Mohammad Saiedur Rahaman Flora D. Salim
+ PDF Chat	Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map	2021	Wei Shao Arian Prabowo Sichen Zhao Piotr Koniusz Flora D. Salim
+	Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map.	2021	Wei Shao Arian Prabowo Sichen Zhao Piotr Koniusz Flora D. Salim
+ PDF Chat	COLTRANE	2019	Arian Prabowo Piotr Koniusz Wei Shao Flora D. Salim
+ PDF Chat	Flight Delay Prediction using Airport Situational Awareness Map	2019	Wei Shao Arian Prabowo Sichen Zhao Siyu Tan Piotr Koniusz Jeffrey Chan Xinhong Hei Bradley Feest Flora D. Salim
+	Flight Delay Prediction using Airport Situational Awareness Map	2019	Wei Shao Arian Prabowo Sichen Zhao Siyu Tan Piotr Konuiusz Jeffrey Chan Xinhong Hei Bradley Feest Flora D. Salim

Common Coauthors

Coauthor	Papers Together
Flora D. Salim	18
Hao Xue	11
Wei Shao	9
Piotr Koniusz	7
Sichen Zhao	5
Xiachong Lin	4
Matthew Amos	4
Imran Razzak	4
Du Yin	3
Shuang Ao	3
Sam Behrens	3
Kaixuan Chen	2
Zechen Li	2
Siyu Tan	2
Renhe Jiang	2
Hao Xue	2
Jinliang Deng	2
Subbu Sethuvenkatraman	2
Bradley Feest	2
Jeffrey Chan	2
Xinhong Hei	2
Nan Gao	1
Piotr Konuiusz	1
Mohammad Saiedur Rahaman	1
Kyle K. Qin	1
Emily W. Yap	1
Xuan Song	1
Zipei Fan	1
Stephen G. White	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting	2023	Arian Prabowo Wei Shao Hao Xue Piotr Koniusz Flora D. Salim	4
+ PDF Chat	Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map	2021	Wei Shao Arian Prabowo Sichen Zhao Piotr Koniusz Flora D. Salim	4
+	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	2018	Bing Yu Haoteng Yin Zhanxing Zhu	4
+	Message Passing Neural Networks for Traffic Forecasting	2023	Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim	3
+	MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction	2021	Hao Xue Flora D. Salim Yongli Ren Nuria Oliver	3
+ PDF Chat	Flight Delay Prediction using Airport Situational Awareness Map	2019	Wei Shao Arian Prabowo Sichen Zhao Siyu Tan Piotr Koniusz Jeffrey Chan Xinhong Hei Bradley Feest Flora D. Salim	3
+ PDF Chat	TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting	2021	Hao Xue Flora D. Salim	3
+ PDF Chat	DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction	2021	Renhe Jiang Du Yin Zhaonan Wang Yizhuo Wang Jiewen Deng Hangchen Liu Zekun Cai Jinliang Deng Xuan Song Ryosuke Shibasaki	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Decoupled dynamic spatial-temporal graph neural network for traffic forecasting	2022	Zezhi Shao Zhao Zhang Wei Wei Fei Wang Yongjun Xu Xin Cao Christian S. Jensen	2
+	Darts: User-Friendly Modern Machine Learning for Time Series	2021	Julien Herzen Francesco Lässig Samuele Giuliano Piazzetta Thomas Neuer Léo Tafti Guillaume Raille Tomas Van Pottelbergh Marek Pasieka Andrzej Skrodzki Nicolas Huguenin	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	N-BEATS neural network for mid-term electricity load forecasting	2021	Boris N. Oreshkin Grzegorz Dudek Paweł Pełka Ekaterina Turkina	2
+ PDF Chat	Graph Markov network for traffic forecasting with missing data	2020	Zhiyong Cui Longfei Lin Ziyuan Pu Yinhai Wang	2
+ PDF Chat	COLTRANE	2019	Arian Prabowo Piotr Koniusz Wei Shao Flora D. Salim	2
+	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	2
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alexander Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	2
+	Learning Fast and Slow for Online Time Series Forecasting	2022	Quang Pham Chenghao Liu Doyen Sahoo Steven C. H. Hoi	2
+ PDF Chat	Spectral Feature Augmentation for Graph Contrastive Learning and Beyond	2023	Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King	2
+	Contrastive Laplacian Eigenmaps	2022	Hao Zhu Ke Sun Peter Koniusz	2
+ PDF Chat	Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction	2017	Xiaolei Ma Zhuang Dai Zhengbing He Jihui Ma Yong Wang Yunpeng Wang	2
+	On Tiny Episodic Memories in Continual Learning	2019	Arslan Chaudhry Marcus Rohrbach Mohamed Elhoseiny Thalaiyasingam Ajanthan Puneet K. Dokania Philip H. S. Torr Marc’Aurelio Ranzato	2
+	Using Mobility Data to Understand and Forecast COVID19 Dynamics	2020	Lijing Wang Xue Ben Aniruddha Adiga Adam Sadilek Ashish V. Tendulkar Srinivasan Venkatramanan Anil Vullikanti Gaurav Aggarwal Alok Talekar Jiangzhuo Chen	2
+	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting	2020	Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang	2
+ 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	2
+	Graph WaveNet for Deep Spatial-Temporal Graph Modeling	2019	Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang	2
+ PDF Chat	Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction	2019	Huaxiu Yao Xianfeng Tang Hua Wei Guanjie Zheng Zhenhui Li	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	GMAN: A Graph Multi-Attention Network for Traffic Prediction	2020	Chuanpan Zheng Xiaoliang Fan Cheng Wang Jianzhong Qi	2
+ PDF Chat	Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting	2020	Paweł Pełka Grzegorz Dudek	2
+	Online learning: A comprehensive survey	2021	Steven C. H. Hoi Doyen Sahoo Jing Lu Peilin Zhao	2
+	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	2017	Yaguang Li Rose Yu Cyrus Shahabi Yan Liu	2
+ PDF Chat	Two Classes of Almost Unbiased Type Principal Component Estimators in Linear Regression Model	2014	Yalian Li Hu Yang	2
+	Spatio-Temporal Data Mining: A Survey of Problems and Methods	2017	Gowtham Atluri Anuj Karpatne Vipin Kumar	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	1
+	Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs	2017	Cristóbal Esteban Stephanie L. Hyland Gunnar Rätsch	1
+	Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking.	2017	Felix Juefei-Xu Vishnu Naresh Boddeti Marios Savvides	1
+ PDF Chat	Towards an integrated approach to crowd analysis and crowd synthesis: A case study and first results	2013	Stefania Bandini Andrea Gorrini Giuseppe Vizzari	1
+ PDF Chat	On the relevance of data science for flight delay research: a systematic review	2020	Alice Sternberg Jorge de Abreu Soares Diego Carvalho Eduardo Ogasawara	1
+ PDF Chat	SeGAN: Segmenting and Generating the Invisible	2018	Kiana Ehsani Roozbeh Mottaghi Ali Farhadi	1
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	1
+	Vector Field k-Means: Clustering Trajectories by Fitting Multiple Vector Fields	2012	Nivan Ferreira James T. Klosowski Carlos Scheidegger Claudio Silva	1
+ PDF Chat	Anomaly detection of flight routes through optimal waypoint	2017	Mohammad Yazdi Pusadan Joko Lianto Buliali Raden Venantius Hari Ginardi	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+ PDF Chat	A comparison and evaluation of map construction algorithms using vehicle tracking data	2014	Mahmuda Ahmed Σοφία Καραγιώργου Dieter Pfoser Carola Wenk	1
+	Generating Videos with Scene Dynamics	2016	Carl Vondrick Hamed Pirsiavash Antonio Torralba	1
+	Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives	2019	Yi Tay Shuohang Wang Anh Tuan Luu Jie Fu Minh C. Phan Xingdi Yuan Jinfeng Rao Siu Cheung Hui Aston Zhang	1
+	Conditional Image Synthesis With Auxiliary Classifier GANs	2016	Augustus Odena Christopher Olah Jonathon Shlens	1
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	1