Bin Yang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 101

Top Venues

Publications

Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. CoRR (2024)
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proc. VLDB Endow. 17 (9) (2024)
Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. VLDB J. 33 (5) (2024)
Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR (2024)
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. CoRR (2024)
Simin Xu, Lingkun Luo, Haichao Hong, Jilin Hu, Bin Yang, Shiqiang Hu
Multi-granularity attention in attention for person re-identification in aerial images. Vis. Comput. 40 (6) (2024)
Yan Zhao, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing. VLDB J. 33 (1) (2024)
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR (2024)
David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR (2024)
Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR (2024)
Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang
Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CoRR (2024)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. Proc. ACM Manag. Data 1 (1) (2023)
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
LightPath: Lightweight and Scalable Path Representation Learning. CoRR (2023)
Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen
Origin-Destination Travel Time Oracle for Map-based Services. Proc. ACM Manag. Data 1 (3) (2023)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR (2023)
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46 (4) (2023)
Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang
Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. 17 (4) (2023)
Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen
Origin-Destination Travel Time Oracle for Map-based Services. CoRR (2023)
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
LightPath: Lightweight and Scalable Path Representation Learning. KDD (2023)
Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen, Jesper Møller
Stochastic Routing with Arrival Windows. ACM Trans. Spatial Algorithms Syst. 9 (4) (2023)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data 1 (2) (2023)
Zhicheng Pan, Yihang Wang, Yingying Zhang, Sean Bin Yang, Yunyao Cheng, Peng Chen, Chenjuan Guo, Qingsong Wen, Xiduo Tian, Yunliang Dou, Zhiqiang Zhou, Chengcheng Yang, Aoying Zhou, Bin Yang
MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. 16 (12) (2023)
Yan Zhao, Kai Zheng, Yunchuan Li, Jinfu Xia, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou
Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen
Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. 17 (4) (2023)
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR (2022)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR (2022)
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE (2022)
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
RetroGraph: Retrosynthetic Planning with Graph Search. KDD (2022)
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. CoRR (2022)
Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CVPR (2022)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. ICDE (2022)
Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR (2022)
Miao Zhang, Wei Huang, Bin Yang
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. NeurIPS (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. CoRR (2022)
Sean Bin Yang, Chenjuan Guo, Bin Yang
Context-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. IJCAI (2022)
Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen
Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report). CoRR (2022)
Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen
Influence-aware Task Assignment in Spatial Crowdsourcing. ICDE (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE (2022)
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
RetroGraph: Retrosynthetic Planning with Graph Search. CoRR (2022)
Carlos Enrique Muñiz-Cuza, Nguyen Ho, Eleni Tzirita Zacharatou, Torben Bach Pedersen, Bin Yang
Spatio-temporal graph convolutional network for stochastic traffic speed imputation. SIGSPATIAL/GIS (2022)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. CoRR (2022)
Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. ICDE (2022)
Simin Xu, Lingkun Luo, Jilin Hu, Bin Yang, Shiqiang Hu
Semantic driven attention network with attribute learning for unsupervised person re-identification. Knowl. Based Syst. 252 (2022)
Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang
Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS (2022)
Frederik Baymler Mathiesen, Bin Yang, Jilin Hu
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. AAAI (2022)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. CoRR (2022)
Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW (2022)
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen
AutoCTS: Automated Correlated Time Series Forecasting. Proc. VLDB Endow. 15 (4) (2021)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI (2021)
Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CoRR (2021)
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. CoRR (2021)
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE (2021)
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. 15 (3) (2021)
Yan Zhao, Kai Zheng, Jiannan Guo, Bin Yang, Torben Bach Pedersen, Christian S. Jensen
Fairness-aware Task Assignment in Spatial Crowdsourcing: Game-Theoretic Approaches. ICDE (2021)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR (2021)
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. CoRR (2021)
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen
AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. CoRR (2021)
Christopher Hansen Nielsen, Simon Makne Randers, Bin Yang, Niels Agerholm
Estimating travel speed distributions of paths in road networks using dual-input LSTMs. IWCTS@SIGSPATIAL (2020)
Qiang Lu, Rencai Wang, Bin Yang, Zhiguang Wang
Trajectory splicing. Knowl. Inf. Syst. 62 (4) (2020)
Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen
Anytime Stochastic Routing with Hybrid Learning. Proc. VLDB Endow. 13 (9) (2020)
Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen
A Hybrid Learning Approach to Stochastic Routing. ICDE (2020)
Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. ICDE (2020)
Razvan-Gabriel Cirstea, Hilmar Gústafsson, Rasmus Riis Grønbæk Pedersen, Rolf Hakon Verder Sehested, Tamas Imre Winkler, Bin Yang
A Road Segment Attribute Completion System. MDM (2020)
Thomas Buhl Andersen, Rógvi Eliasen, Mikkel Jarlund, Bin Yang
Force myography benchmark data for hand gesture recognition and transfer learning. CoRR (2020)
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen
Context-aware, preference-based vehicle routing. VLDB J. 29 (5) (2020)
Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen
Fast stochastic routing under time-varying uncertainty. VLDB J. 29 (4) (2020)
Sean Bin Yang, Bin Yang
Learning to Rank Paths in Spatial Networks. ICDE (2020)
Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. CoRR (2020)
Nicolaj Casanova Abildgaard, Casper Weiss Bang, Jonas Hansen, Tobias Lambek Jacobsen, Thomas Højriis Knudsen, Nichlas Ørts Lisby, Chenjuan Guo, Bin Yang
A Correlated Time Series Forecast System. MDM (2020)
Nicklas K. Breum, Martin N. Joergensen, Christian A. Knudsen, Laerke B. Kristensen, Bin Yang
A Charging Scheduling System for Electric Vehicles using Vehicle-to-Grid. MDM (2019)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI (2019)
Fan Xia, Bin Yang, Chengcheng Yu, Weining Qian, Aoying Zhou
Towards Longitudinal Analytics on Social Media Data. ICDE (2019)
Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE (2019)
Takahiro Hara, Wang-Chien Lee, Bin Yang
Editorial: mobile data management and analytics. GeoInformatica 23 (4) (2019)
Asger Gitz-Johansen, Mikkel Elkjaer Holm, Laurids Vinther Kirkeby, Dan Kristiansen, Alexander Stoica Ostenfeld, Morten Konggaard Schou, Bin Yang
A Practical Delivery Route Planning System. MDM (2019)
Sean Bin Yang, Bin Yang
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks. CoRR (2019)
Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. CIKM (2018)
Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou
Finding Top-k Shortest Paths with Diversity. IEEE Trans. Knowl. Data Eng. 30 (3) (2018)
Marc Beuchert, Steffen Hald Jensen, Omar Ali Sheikh-Omar, Mathias Bach Svendsen, Bin Yang
aSTEP: Aau's Spatio-TEmporal Data Analytics Platform. MDM (2018)
Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. CoRR (2018)
Georgi Andonov, Bin Yang
Stochastic Shortest Path Finding in Path-Centric Uncertain Road Networks. MDM (2018)
Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou
Finding Top-k Optimal Sequenced Routes. ICDE (2018)
Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. CoRR (2018)
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
Learning to Route with Sparse Trajectory Sets - Extended Version. CoRR (2018)
Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou
Finding Top-k Shortest Paths with Diversity. ICDE (2018)
Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, Jilin Hu
PACE: a PAth-CEntric paradigm for stochastic path finding. VLDB J. 27 (2) (2018)
Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou
Finding Top-k Optimal Sequenced Routes - Full Version. CoRR (2018)
Georgi Andonov, Bin Yang
A New Formulation of The Shortest Path Problem with On-Time Arrival Reliability. CoRR (2018)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM (2018)
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
Learning to Route with Sparse Trajectory Sets. ICDE (2018)
Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. VLDB J. 27 (2) (2018)
Tung Kieu, Bin Yang, Christian S. Jensen
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. MDM (2018)
Jilin Hu, Bin Yang, Christian S. Jensen, Yu Ma
Enabling time-dependent uncertain eco-weights for road networks. GeoInformatica 21 (1) (2017)
Robert Waury, Jilin Hu, Bin Yang, Christian S. Jensen
Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation. MDM (2017)
Zhiming Ding, Bin Yang, Yuanying Chi, Limin Guo
Enabling Smart Transportation Systems: A Parallel Spatio-Temporal Database Approach. IEEE Trans. Computers 65 (5) (2016)
Hua Lu, Chenjuan Guo, Bin Yang, Christian S. Jensen
Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. EDBT (2016)
Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, Jilin Hu
Path Cost Distribution Estimation Using Trajectory Data. Proc. VLDB Endow. 10 (3) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bin Yang