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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): 163-184 (2024)
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen: Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR abs/2402.02713 (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. CoRR abs/2402.05956 (2024)
Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan: GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains. CoRR abs/2402.07232 (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 abs/2403.20150 (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 abs/2404.13990 (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 abs/2404.14999 (2024)
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dign?s, 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): 4-17 (2023)
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): 97:1-97:26 (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): 171:1-171:27 (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): 217:1-217:27 (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): 3808-3821 (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): 753-765 (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): 766-779 (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): 8386-8401 (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): 9168-9180 (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): 10125-10139 (2023)
Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen, Jesper M?ller: Stochastic Routing with Arrival Windows. ACM Trans. Spatial Algorithms Syst. 9(4): 30:1-30:48 (2023)
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen: LightPath: Lightweight and Scalable Path Representation Learning. KDD 2023: 2999-3010
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 abs/2302.12721 (2023)
Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang: A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. CoRR abs/2306.05344 (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 abs/2307.03048 (2023)
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen: LightPath: Lightweight and Scalable Path Representation Learning. CoRR abs/2307.10171 (2023)
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: 109354 (2022)
Sean Bin Yang, Chenjuan Guo, Bin Yang: Context-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. 34(7): 3153-3168 (2022)
Frederik Baymler Mathiesen, Bin Yang, Jilin Hu: Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. AAAI 2022: 4575-4582
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: 11861-11870
Carlos Enrique Mu?iz-Cuza, Nguyen Ho, Eleni Tzirita Zacharatou, Torben Bach Pedersen, Bin Yang: Spatio-temporal graph convolutional network for stochastic traffic speed imputation. SIGSPATIAL/GIS 2022: 14:1-14:12
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: 1342-1354
Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen: Influence-aware Task Assignment in Spatial Crowdsourcing. ICDE 2022: 2141-2153
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: 2873-2885
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan: Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE 2022: 2900-2913
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: 3038-3050
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: 1994-2001
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin: RetroGraph: Retrosynthetic Planning with Graph Search. KDD 2022: 2120-2129
Miao Zhang, Wei Huang, Bin Yang: Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. NeurIPS 2022
Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang: Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS 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: 1933-1943
Elaheh Pourabbas, Yongluan Zhou, Yuchen Li, Bin Yang: SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6 - 8, 2022. ACM 2022, ISBN 978-1-4503-9667-7 [contents]
Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan: Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR abs/2202.08408 (2022)
Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen: Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report). CoRR abs/2203.14241 (2022)
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan: Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR abs/2203.15737 (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 abs/2203.16110 (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 abs/2204.03341 (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 abs/2204.13767 (2022)
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin: RetroGraph: Retrosynthetic Planning with Graph Search. CoRR abs/2206.11477 (2022)
Dalin Zhang, Kaixuan Chen, Yan Zhao, Bin Yang, Lina Yao, Christian S. Jensen: Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. CoRR abs/2208.10498 (2022)
Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen: A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. CoRR abs/2209.04635 (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 abs/2211.16126 (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 abs/2212.04058 (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 abs/2212.10306 (2022)
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): 611-623 (2021)
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen: AutoCTS: Automated Correlated Time Series Forecasting. Proc. VLDB Endow. 15(4): 971-983 (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: 265-276
Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan: EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE 2021: 1739-1750
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang: Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI 2021: 3286-3292
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang: Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. CoRR abs/2103.10760 (2021)
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang: Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR abs/2106.09373 (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 abs/2111.11108 (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 abs/2111.13204 (2021)
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen: AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. CoRR abs/2112.11174 (2021)
Qiang Lu, Rencai Wang, Bin Yang, Zhiguang Wang: Trajectory splicing. Knowl. Inf. Syst. 62(4): 1279-1312 (2020)
Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen: Anytime Stochastic Routing with Hybrid Learning. Proc. VLDB Endow. 13(9): 1555-1567 (2020)
Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen: Fast stochastic routing under time-varying uncertainty. VLDB J. 29(4): 819-839 (2020)
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen: Context-aware, preference-based vehicle routing. VLDB J. 29(5): 1149-1170 (2020)
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: 9:1-9:4
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: 1417-1428
Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen: A Hybrid Learning Approach to Stochastic Routing. ICDE 2020: 1910-1913
Sean Bin Yang, Bin Yang: Learning to Rank Paths in Spatial Networks. ICDE 2020: 2006-2009
Razvan-Gabriel Cirstea, Hilmar Gústafsson, Rasmus Riis Gr?nb?k Pedersen, Rolf Hakon Verder Sehested, Tamas Imre Winkler, Bin Yang: A Road Segment Attribute Completion System. MDM 2020: 236-237
Nicolaj Casanova Abildgaard, Casper Weiss Bang, Jonas Hansen, Tobias Lambek Jacobsen, Thomas H?jriis Knudsen, Nichlas ?rts Lisby, Chenjuan Guo, Bin Yang: A Correlated Time Series Forecast System. MDM 2020: 242-243
Angela Bonifati, Yongluan Zhou, Marcos Antonio Vaz Salles, Alexander B?hm, Dan Olteanu, George H. L. Fletcher, Arijit Khan, Bin Yang: Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020. OpenProceedings.org 2020, ISBN 978-3-89318-083-7 [contents]
Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao: Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. CoRR abs/2002.12168 (2020)
Thomas Buhl Andersen, Rógvi Eliasen, Mikkel Jarlund, Bin Yang: Force myography benchmark data for hand gesture recognition and transfer learning. CoRR abs/2007.14918 (2020)
Takahiro Hara, Wang-Chien Lee, Bin Yang: Editorial: mobile data management and analytics. GeoInformatica 23(4): 499-500 (2019)
Fan Xia, Bin Yang, Chengcheng Yu, Weining Qian, Aoying Zhou: Towards Longitudinal Analytics on Social Media Data. ICDE 2019: 350-361
Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen: Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE 2019: 1274-1285
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen: Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI 2019: 2725-2732
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: 349-350
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: 351-352
Sean Bin Yang, Bin Yang: PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks. CoRR abs/1907.04028 (2019)
Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou: Finding Top-k Shortest Paths with Diversity. IEEE Trans. Knowl. Data Eng. 30(3): 488-502 (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): 153-178 (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): 179-200 (2018)
Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen: Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM 2018: 863-872
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: 1527-1530
Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou: Finding Top-k Optimal Sequenced Routes. ICDE 2018: 569-580
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen: Learning to Route with Sparse Trajectory Sets. ICDE 2018: 1073-1084
Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou: Finding Top-k Shortest Paths with Diversity. ICDE 2018: 1761-1762
Georgi Andonov, Bin Yang: Stochastic Shortest Path Finding in Path-Centric Uncertain Road Networks. MDM 2018: 40-45
Tung Kieu, Bin Yang, Christian S. Jensen: Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. MDM 2018: 125-134
Marc Beuchert, Steffen Hald Jensen, Omar Ali Sheikh-Omar, Mathias Bach Svendsen, Bin Yang: aSTEP: Aau's Spatio-TEmporal Data Analytics Platform. MDM 2018: 278-279
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen: Learning to Route with Sparse Trajectory Sets - Extended Version. CoRR abs/1802.07980 (2018)
Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou: Finding Top-k Optimal Sequenced Routes - Full Version. CoRR abs/1802.08014 (2018)
Georgi Andonov, Bin Yang: A New Formulation of The Shortest Path Problem with On-Time Arrival Reliability. CoRR abs/1804.07829 (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 abs/1808.09794 (2018)
Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen: Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. CoRR abs/1811.05157 (2018)
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