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ORCIDBin Yang 0002
杨彬
Person information
- affiliation: East China Normal University, China
- affiliation: Aalborg University, Denmark
- affiliation (2011-2014): Aarhus University, Denmark
- affiliation (2010-2011): Max Planck Institut für Informatik, Germany
- affiliation (2007-2010, PhD): Fudan University, China
- unicode name: 杨彬
- not to be confused with: Bin Yang 0016
Other persons with the same name
- Bin Yang (aka: Yang Bin) — disambiguation page
- Bin Yang 0001 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Bin Yang 0003 — Technical University Munich, Faculty of Civil Engineering and Surveying, Germany
- Bin Yang 0004
![[0000-0002-1707-5119]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1707-5119")
— Northwest A&F University, College of Science,Yangling, China (and 1 more) - Bin Yang 0005 — University Pierre and Marie Curie-Sorbonne University, Paris, France
- Bin Yang 0006 — Huazhong University of Science & Technology, Wuhan, China
- Bin Yang 0007 — Nankai University, College of Software, Tianjin, China
- Bin Yang 0008 — Hunan University, Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China (and 2 more)
- Bin Yang 0009 — University of Stuttgart, Institute of Signal Processing and System Theory, Germany (and 2 more)
- Bin Yang 0010 — Chuzhou University, School of Computer and Information Engineering, China (and 2 more)
- Bin Yang 0011 — Central South University, School of Information Science and Engineering, Changsha, China
- Bin Yang 0012 — Fudan University, Department of Electronic Engineering, Key Laboratory for Information Science of Electromagnetic Waves, Shanghai, China (and 1 more)
- Bin Yang 0013 — Central South University, School of Geosciences and Info-Physics, Changsha, China (and 1 more)
- Bin Yang 0014 — Chang'an University, State Engineering Laboratory of Highway Maintenance Equipment, Xi'an, China
- Bin Yang 0015 — Zhengzhou Information Science and Technology Institute, China
- Bin Yang 0016 (aka: Sean Bin Yang) — Aalborg University, Denmark (and 1 more)
- Bin Yang 0017 — Zaozhuang University, School of Information Science and Engineering, China
- Bin Yang 0018 — Dalian University of Technology, School of Control Science and Engineering, China (and 1 more)
- Bin Yang 0019 — East China University of Science and Technology, School of Mechanical and Power Engineering, Shanghai, China
- Bin Yang 0020 — Guangdong University of Technology, School of Civil and Transportation Engineering, Guangzhou, China
- Bin Yang 0021 — Uber Advanced Technologies Group, USA (and 1 more)
- Bin Yang 0022 — Sensetime Group Limited, Shatin, Hong Kong (and 3 more)
- Bin Yang 0023 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Bin Yang 0024 — Xi'an Jiaotong University, School of Electronics and Information Engineering, China
- Bin Yang 0025 — Jiangnan University, School of Design, Wuxi, China (and 1 more)
- Bin Yang 0026 — Wuhan University, Wuhan, China
- Bin Yang 0027 — Southeast University, Nanjin, China
- Bin Yang 0028 — North China Electric Power University, State Key Laboratory of Alternative Electrical Power System With Renewable Energy Sources, Beijing, China
- Bin Yang 0029 — Tongji University, Department of Structural Engineering, Shanghai, China
- Bin Yang 0030 — University of South China, School of Electrical Engineering, Hengyang, China (and 1 more)
- Bin Yang 0031 — Shanghai Jiao Tong University, National Key Laboratory of Science and Technology on Micro/Nano Fabrication, China
- Bin Yang 0032 — Air Force Military Medical University, Department of Biomedical Engineering, Xi'an, China (and 1 more)
- Bin Yang 0033 (aka: Yang Bin 0033) — Shanghai Maritime University, Logistics Management Department, Graduate School College, China
- Bin Yang 0034 — Hangzhou Dianzi University, School of Cyberspace, China
- Bin Yang 0035 — Zhejiang University of Technology, College of Mechanical Engineering, Hangzhou, China (and 2 more)
- Bin Yang 0036 — Beihang University, School of Reliability and Systems Engineering, Beijing, China (and 1 more)
- Bin Yang 0037 — IoT Software and Systems, Beijing Engineering Research Center, Beijing, China (and 1 more)
- Bin Yang 0038 — China Unicom Research Institute, Beijing, China
- Bin Yang 0039 — Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China
- Bin Yang 0040 — Ultipa, San Ramon, USA
- Bin Yang 0041 — National Digital Switching System Engineering and Technology Research Center, Zhengzhou, China
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2020 – today
- 2024
[j44]Bin Yang, Feida Zhu, Wei Wei:
Editorial: DSAA 2023 journal track on theoretical and practical data science and analytics. Int. J. Data Sci. Anal. 18(4): 351-352 (2024)- [j43]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): 2363-2377 (2024) - [j42]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proc. VLDB Endow. 17(11): 2708-2721 (2024) - [j41]Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen:
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. Proc. VLDB Endow. 17(11): 2893-2905 (2024) - [j40]Bolong Zheng, Lingfeng Ming, Kai Zeng, Mengtao Zhou, Xinyong Zhang, Tao Ye, Bin Yang, Xiaofang Zhou, Christian S. Jensen:
Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36(12): 7612-7626 (2024) - [j39]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): 4149-4166 (2024) - [j38]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) - [j37]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): 1743-1770 (2024) - [c70]Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang:
Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CIKM 2024: 3892-3896 - [c69]Buang Zhang, Xinle Wu, Hao Miao, Chenjuan Guo, Bin Yang:
Dependency-Aware Differentiable Neural Architecture Search. ECCV (55) 2024: 219-236 - [c68]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. ICDE 2024: 1050-1062 - [c67]Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp:
Routing with Massive Trajectory Data. ICDE 2024: 5542-5547 - [c66]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 - [c65]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML 2024 - [c64]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. ECML/PKDD (10) 2024: 231-246 - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]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 abs/2404.18886 (2024) - [i43]Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR abs/2405.15273 (2024) - [i42]Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR abs/2405.17478 (2024) - [i41]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 abs/2407.06881 (2024) - [i40]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 abs/2407.20053 (2024) - [i39]Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang:
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR abs/2410.11802 (2024) - [i38]Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang:
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching. CoRR abs/2410.12261 (2024) - [i37]Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Jilin Hu, Bin Yang:
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone. CoRR abs/2410.13338 (2024) - [i36]Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo:
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR abs/2410.15997 (2024) - [i35]Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang:
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. CoRR abs/2410.16888 (2024) - [i34]Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le:
TEAM: Topological Evolution-aware Framework for Traffic Forecasting-Extended Version. CoRR abs/2410.19192 (2024) - [i33]Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang:
Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. CoRR abs/2410.19892 (2024) - [i32]Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version. CoRR abs/2410.20905 (2024) - 2023
- [j36]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): 4-17 (2023) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen, Jesper Møller:
Stochastic Routing with Arrival Windows. ACM Trans. Spatial Algorithms Syst. 9(4): 30:1-30:48 (2023) - [c63]Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. KDD 2023: 2999-3010 - [i31]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) - [i30]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) - [i29]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) - [i28]Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. CoRR abs/2307.10171 (2023) - 2022
- [j25]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) - [j24]Sean Bin Yang, Chenjuan Guo, Bin Yang:
Context-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. 34(7): 3153-3168 (2022) - [c62]Frederik Baymler Mathiesen, Bin Yang, Jilin Hu:
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. AAAI 2022: 4575-4582 - [c61]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 - [c60]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: 14:1-14:12 - [c59]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 - [c58]Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen:
Influence-aware Task Assignment in Spatial Crowdsourcing. ICDE 2022: 2141-2153 - [c57]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 - [c56]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE 2022: 2900-2913 - [c55]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 - [c54]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 - [c53]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 - [c52]Miao Zhang, Wei Huang, Bin Yang:
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. NeurIPS 2022 - [c51]Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang:
Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS 2022 - [c50]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 - [e2]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] - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - 2021
- [j23]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) - [j22]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) - [c49]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 - [c48]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 - [c47]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI 2021: 3286-3292 - [i15]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang:
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. CoRR abs/2103.10760 (2021) - [i14]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR abs/2106.09373 (2021) - [i13]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) - [i12]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) - [i11]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) - 2020
- [j21]Qiang Lu, Rencai Wang, Bin Yang, Zhiguang Wang:
Trajectory splicing. Knowl. Inf. Syst. 62(4): 1279-1312 (2020) - [j20]Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen:
Anytime Stochastic Routing with Hybrid Learning. Proc. VLDB Endow. 13(9): 1555-1567 (2020) - [j19]Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen:
Fast stochastic routing under time-varying uncertainty. VLDB J. 29(4): 819-839 (2020) - [j18]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen:
Context-aware, preference-based vehicle routing. VLDB J. 29(5): 1149-1170 (2020) - [c46]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 - [c45]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 - [c44]Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen:
A Hybrid Learning Approach to Stochastic Routing. ICDE 2020: 1910-1913 - [c43]Sean Bin Yang, Bin Yang:
Learning to Rank Paths in Spatial Networks. ICDE 2020: 2006-2009 - [c42]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: 236-237 - [c41]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: 242-243 - [e1]Angela Bonifati, Yongluan Zhou, Marcos Antonio Vaz Salles, Alexander Böhm, 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] - [i10]Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao:
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. CoRR abs/2002.12168 (2020) - [i9]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)
2010 – 2019
- 2019
- [j17]Takahiro Hara, Wang-Chien Lee, Bin Yang:
Editorial: mobile data management and analytics. GeoInformatica 23(4): 499-500 (2019) - [c40]Fan Xia, Bin Yang, Chengcheng Yu, Weining Qian, Aoying Zhou:
Towards Longitudinal Analytics on Social Media Data. ICDE 2019: 350-361 - [c39]Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE 2019: 1274-1285 - [c38]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI 2019: 2725-2732 - [c37]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 - [c36]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 - [i8]Sean Bin Yang, Bin Yang:
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks. CoRR abs/1907.04028 (2019) - 2018
- [j16]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) - [j15]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) - [j14]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) - [c35]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM 2018: 863-872 - [c34]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 - [c33]Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou:
Finding Top-k Optimal Sequenced Routes. ICDE 2018: 569-580 - [c32]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets. ICDE 2018: 1073-1084 - [c31]Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou:
Finding Top-k Shortest Paths with Diversity. ICDE 2018: 1761-1762 - [c30]Georgi Andonov, Bin Yang:
Stochastic Shortest Path Finding in Path-Centric Uncertain Road Networks. MDM 2018: 40-45 - [c29]Tung Kieu, Bin Yang, Christian S. Jensen:
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. MDM 2018: 125-134 - [c28]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 - [i7]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets - Extended Version. CoRR abs/1802.07980 (2018) - [i6]Huiping Liu, Cheqing Jin, Bin Yang, Aoying Zhou:
Finding Top-k Optimal Sequenced Routes - Full Version. CoRR abs/1802.08014 (2018) - [i5]Georgi Andonov, Bin Yang:
A New Formulation of The Shortest Path Problem with On-Time Arrival Reliability. CoRR abs/1804.07829 (2018) - [i4]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) - [i3]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) - 2017
- [j13]Jilin Hu, Bin Yang, Christian S. Jensen, Yu Ma:
Enabling time-dependent uncertain eco-weights for road networks. GeoInformatica 21(1): 57-88 (2017) - [c27]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: 240-245 - 2016
- [j12]Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, Jilin Hu:
Path Cost Distribution Estimation Using Trajectory Data. Proc. VLDB Endow. 10(3): 85-96 (2016) - [j11]Zhiming Ding, Bin Yang, Yuanying Chi, Limin Guo:
Enabling Smart Transportation Systems: A Parallel Spatio-Temporal Database Approach. IEEE Trans. Computers 65(5): 1377-1391 (2016) - [c26]Hua Lu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. EDBT 2016: 449-460 - [c25]Saad Aljubayrin, Bin Yang, Christian S. Jensen, Rui Zhang:
Finding non-dominated paths in uncertain road networks. SIGSPATIAL/GIS 2016: 15:1-15:10 - 2015
- [j10]Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp:
EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. GeoInformatica 19(3): 567-599 (2015) - [j9]Zhiming Ding, Bin Yang, Ralf Hartmut Güting, Yaguang Li:
Network-Matched Trajectory-Based Moving-Object Database: Models and Applications. IEEE Trans. Intell. Transp. Syst. 16(4): 1918-1928 (2015) - [j8]Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen:
Discovery of Path Nearby Clusters in Spatial Networks. IEEE Trans. Knowl. Data Eng. 27(6): 1505-1518 (2015) - [j7]Bin Yang, Chenjuan Guo, Yu Ma, Christian S. Jensen:
Toward personalized, context-aware routing. VLDB J. 24(2): 297-318 (2015) - [c24]Jinling Jiang, Hua Lu, Bin Yang, Bin Cui:
Finding top-k local users in geo-tagged social media data. ICDE 2015: 267-278 - [c23]Jian Dai, Bin Yang, Chenjuan Guo, Zhiming Ding:
Personalized route recommendation using big trajectory data. ICDE 2015: 543-554 - [c22]Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp:
EcoSky: Reducing vehicular environmental impact through eco-routing. ICDE 2015: 1412-1415 - [i2]Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Efficient and Accurate Path Cost Estimation Using Trajectory Data. CoRR abs/1510.02886 (2015) - 2014
- [j6]Chenjuan Guo, Christian S. Jensen, Bin Yang:
Towards Total Traffic Awareness. SIGMOD Rec. 43(3): 18-23 (2014) - [j5]Bin Yang, Manohar Kaul, Christian S. Jensen:
Using Incomplete Information for Complete Weight Annotation of Road Networks. IEEE Trans. Knowl. Data Eng. 26(5): 1267-1279 (2014) - [c21]Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang:
Stochastic skyline route planning under time-varying uncertainty. ICDE 2014: 136-147 - [c20]Qiang Qu, Siyuan Liu, Bin Yang, Christian S. Jensen:
Efficient Top-k Spatial Locality Search for Co-located Spatial Web Objects. MDM (1) 2014: 269-278 - [c19]Yu Ma, Bin Yang, Christian S. Jensen:
Enabling Time-Dependent Uncertain Eco-Weights For Road Networks. GeoRich@SIGMOD 2014: 1:1-1:6 - [c18]Qiang Qu, Siyuan Liu, Bin Yang, Christian S. Jensen:
Integrating non-spatial preferences into spatial location queries. SSDBM 2014: 8:1-8:12 - 2013
- [j4]Bin Yang, Chenjuan Guo, Christian S. Jensen:
Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models. Proc. VLDB Endow. 6(9): 769-780 (2013) - [j3]Manohar Kaul, Raymond Chi-Wing Wong, Bin Yang, Christian S. Jensen:
Finding Shortest Paths on Terrains by Killing Two Birds with One Stone. Proc. VLDB Endow. 7(1): 73-84 (2013) - [c17]Leon Derczynski, Bin Yang, Christian S. Jensen:
Towards context-aware search and analysis on social media data. EDBT 2013: 137-142 - [c16]Bin Yang, Nicolas Fantini, Christian S. Jensen:
iPark: identifying parking spaces from trajectories. EDBT 2013: 705-708 - [c15]Manohar Kaul, Bin Yang, Christian S. Jensen:
Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems. MDM (1) 2013: 137-146 - [c14]Kuien Liu, Bin Yang, Shuo Shang, Yaguang Li, Zhiming Ding:
MOIR/UOTS: Trip Recommendation with User Oriented Trajectory Search. MDM (1) 2013: 335-337 - [c13]Ove Andersen, Christian S. Jensen, Kristian Torp, Bin Yang:
EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-routes. MDM (1) 2013: 338-340 - [i1]Bin Yang, Manohar Kaul, Christian S. Jensen:
Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version. CoRR abs/1308.0484 (2013) - 2012
- [c12]Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul:
EcoMark: evaluating models of vehicular environmental impact. SIGSPATIAL/GIS 2012: 269-278 - 2011
- [c11]Yafang Wang, Bin Yang, Lizhen Qu, Marc Spaniol, Gerhard Weikum:
Harvesting facts from textual web sources by constrained label propagation. CIKM 2011: 837-846 - [c10]Hua Lu, Bin Yang, Christian S. Jensen:
Spatio-temporal joins on symbolic indoor tracking data. ICDE 2011: 816-827 - [c9]Peisen Yuan, Chaofeng Sha, Xiaoling Wang, Bin Yang, Aoying Zhou:
Efficient Approximate Similarity Search Using Random Projection Learning. WAIM 2011: 517-529 - [c8]Yafang Wang, Bin Yang, Spyros Zoupanos, Marc Spaniol, Gerhard Weikum:
Scalable spatio-temporal knowledge harvesting. WWW (Companion Volume) 2011: 143-144 - 2010
- [j2]Christian S. Jensen, Hua Lu, Bin Yang:
Indoor - A New Data Management Frontier. IEEE Data Eng. Bull. 33(2): 12-17 (2010) - [c7]Bin Yang, Hua Lu, Christian S. Jensen:
Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space. EDBT 2010: 335-346 - [c6]Peisen Yuan, Chaofeng Sha, Xiaoling Wang, Bin Yang, Aoying Zhou, Su Yang:
XML Structural Similarity Search Using MapReduce. WAIM 2010: 169-181
2000 – 2009
- 2009
- [c5]Qiang Ma, Bin Yang, Weining Qian, Aoying Zhou:
Query processing of massive trajectory data based on mapreduce. CloudDB@CIKM 2009: 9-16 - [c4]Bin Yang, Hua Lu, Christian S. Jensen:
Scalable continuous range monitoring of moving objects in symbolic indoor space. CIKM 2009: 671-680 - [c3]Bin Yang, Qiang Ma, Weining Qian, Aoying Zhou:
TRUSTER: TRajectory Data Processing on ClUSTERs. DASFAA 2009: 768-771 - [c2]Christian S. Jensen, Hua Lu, Bin Yang:
Graph Model Based Indoor Tracking. Mobile Data Management 2009: 122-131 - [c1]Christian S. Jensen, Hua Lu, Bin Yang:
Indexing the Trajectories of Moving Objects in Symbolic Indoor Space. SSTD 2009: 208-227 - 2008
- [j1]Bin Yang, Weining Qian, Aoying Zhou:
Using Wide Table to manage web data: a survey. Frontiers Comput. Sci. China 2(3): 211-223 (2008)
Coauthor Index
[j43] [j42] [j41] [j37] [c70] [c69] [c68] [c67] [c66] [c64] [i49] [i47] [i46] [i45] [i43] [i42] [i41] [i40] [i39] [i38] [i36] [i35] [i33] [i32] [j35] [j34] [j32] [j31] [j30] [j27] [c63] [i31] [i30] [i28] [j24] [c59] [c57] [c56] [c55] [c54] [c53] [c51] [c50] [i25] [i24] [i23] [i22] [i21] [i19] [i18] [i17] [i16] [j23] [j22] [c48] [c47] [i15] [i14] [i13] [i11] [j18] [c45] [c41] [c39] [c38] [j15] [j14] [c35] [c34] [c32] [i7] [i4] [i3] [j12] [c26] [j10] [j7] [c23] [c22] [i2] [j6] [c21] [j4] [c12]
[j43] [j42] [j41] [j40] [j38] [j37] [c68] [c67] [c64] [i48] [i47] [i46] [i45] [i41] [i39] [i34] [i32] [j35] [j34] [j33] [j30] [j29] [j26] [c63] [i31] [i29] [i28] [c59] [c58] [c57] [c55] [c50] [i26] [i24] [i23] [i20] [i19] [i18] [i16] [j23] [j22] [c49] [i13] [i11] [j20] [j19] [j18] [c45] [c44] [c39] [c38] [j15] [j14] [c35] [c32] [c29] [i7] [i3] [j13] [c27] [j12] [c26] [c25] [j10] [j8] [j7] [c22] [i2] [j6] [j5] [c21] [c20] [c19] [c18] [j4] [j3] [c17] [c16] [c15] [c13] [i1] [c12] [c10] [j2] [c7] [c4] [c2] [c1]
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