科研成果

代表性论文

时空数据挖掘

  1. Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan*.A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Transactions on Knowledge and Data Engineering(TKDE), 2024.
  2. Letian Gong, Huaiyu Wan, Shengnan Guo*, Xiucheng Li, Yan Lin, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin. Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning[J]. IEEE Transactions on Knowledge and Data Engineering(TKDE), 2024.
  3. Lixia Wu†, Haomin Wen†, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbing Zhen, Junhong Lou, Yuxuan Liang*, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan (†:Equal contribution). LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. In Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024.
  4. Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo*, Lan Zhang, Huaiyu Wan. Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
  5. Tonglong Wei, Youfang Lin, Shengnan Guo*, Yan Lin, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan. Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging. Knowledge-Based Systems (KBS), 2024.
  6. Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin. Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
  7. Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin，Christian S. Jensen. Origin-Destination Travel Time Oracle for Map-based Services. The 50th ACM SIGMOD Conference on Management of Data, 2024.
  8. Shuohao Lin, Wei Chen, Yunpeng Gao, Zhishu Jiang, Mengqi Liao, Zhiyu Zhang, Shuyuan Zhao and Huaiyu Wan*. KPatch: Knowledge Patch to Pre-trained Language Model for Zero-Shot Stance Detection on Social Media. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
  9. Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan*. Adversarial self-attentive time-variant neural networks for multi-step time series forecasting.  Applied Intelligence (APIN), 2023.
  10. Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan*. Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting.  Expert Systems with Applications (ESWA), 2023.
  11. Letian Gong, Youfang Lin, Shengnan Guo*, Yan Lin, Tianyi Wang, Erwen, Zheng, Zeyu Zhou, Huaiyu Wan. Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction.  The 35th AAAI Conference on Artificial Intelligence (AAAI), 2023.
  12. Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang*.DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.  31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(SIGSpatial), 2023.
  13. Haomin Wen, Youfang Lin, Yuxuan Hu, Fan Wu, Mingxuan Xia, Xinyi Zhang, Lixia Wu, Haoyuan Hu, Huaiyu Wan*. Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction.  IEEE Transactions on Intelligent Transportation Systems (TITS), 2023.
  14. Yuting Qiang, Haomin Wen, Lixia Wu, Xiaowei Mao, Fan Wu, Huaiyu Wan, Haoyuan Hu. Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. The 39th IEEE International Conference on Data Engineering (ICDE), 2023.
  15. Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan*, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin. DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
  16. Wenchuang Peng, Youfang Lin, Shengnan Guo, Weiwen Tang, Le Liu, Huaiyu Wan. Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation. Pacific-Asia Conference on Knowledge Discovery and Data Mining（PAKDD）, 2023.
  17. Huaiyu Wan, Tianyue Cai,Fan Wu, Haomin Wen, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin. M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. IEEE International Conference on Data Engineering (ICDE), 2023.
  18. Haomin Wen,Youfang Lin,Fan Wu,Huaiyu Wan,Zhongxiang Sun,Tianyue Cai,Hongyu Liu,Shengnan Guo,Jianbin Zheng,Chao Song,Lixia Wu.Enough Waiting for the Couriers --- Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors. ACM Transactions on Intelligent Systems and Technology(TIST), 2023.
  19. Xiaowei Mao，Huaiyu Wan,Haomin Wen,Fan Wu,Jianbin Zheng, Yuting Qiang,Shengnan Guo,Lixia Wu,Haoyuan Hu.GMDNet: A Graph-based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution. AAAI, 2023.
  20. Jianwei Gao, Huaiyu Wan*, Youfang Lin. Exploiting Global Context and External Knowledge for Distantly Supervised Relation Extraction. Knowledge-Based Systems (KBS), 2023.
  21. Shuhan Wu, Huaiyu Wan, Wei Chen, Yuting Wu*, Junfeng Shen, Youfang Lin. Towards Enhancing Relational Rules for Knowledge Graph Link Prediction. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
  22. Changxia Gao, Ning Zhang, Youru Li, Feng Bian, Huaiyu Wan*. Self-Attention based Time-Variant Neural Networks for Multi-Step Time Series Forecasting. Neural Computing & Applications (NCAA), 2022.
  23. Youfang Lin,Letian Gong,Shengnan Guo*,Yan Lin,Tianyi Wang,Erwen Zheng,Zeyu Zhou,Huaiyu Wan.Contrastive Pre-training with Adversarial Perturbations for Check-in Sequence Representation Learning. AAAI, 2023.
  24. 彭文闯, 郭晟楠*, 万怀宇, 林友芳.  面向交通事故预测的时空多模态点过程. 第39届CCF中国数据库学术会议 (NDBC 2022). (萨师煊优秀学生论文奖). 计算机应用研究, 2023.
  25. 王晨宇, 温浩珉, 郭晟楠, 林友芳, 万怀宇*. 面向快递员揽收到达时间预测的多任务深度时空网络. 第10届CCF大数据学术会议 (CCF BIGDATA 2022). 计算机工程与科学, 2023.
  26.  魏远,  林彦, 郭晟楠, 林友芳, 万怀宇*. 融合出发地与目的地时空相关性的城市区域间出租车需求预测. 第39届CCF中国数据库学术会议 (NDBC 2022). 计算机应用, 2023.
  27. Shengnan Guo,Letian Gong,Chenyun Wang,Zeyu Zhou,Zekai Shen,Yiheng Huang,Youfang Lin,Huaiyu Wan.Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting.  IEEE International Conference on Data Engineering (ICDE), 2022.
  28. Yiji Zhao,Youfang Lin,Haomin Wen,Tonglong Wei,Xiyuan Jin,Huaiyu Wan.Spatial-Temporal Position-aware Graph Convolution Networks for Traffic Flow Forecasting.  IEEE Transactions on Intelligent Transportation Systems (TITS), 2022.
  29. Wei Chen, Huaiyu Wan, Shengnan Guo*, Haoyu Huang, Shaojie Zheng, Jiamu Li, Shuohao Lin, Youfang Lin. Building and Exploiting Spatial-Temporal Knowledge Graph for Next POI Recommendation.  Knowledge-Based Systems (KBS), 2022.
  30. Haomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan. Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 2022. 
  31. Yiji Zhao, Youfang Lin, Yongkai Zhang,Haomin Wen, Yunxiao Liu, Hao Wu, Zhihao Wu, Shuaichao Zhang, and Huaiyu Wan.Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship between Flows. TITS, 2022. 
  32. Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin*. Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction.The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. 
  33. Shaohua Du, Zhihao Wu, Huaiyu Wan*, Youfang Lin. HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification.The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021. 
  34.  童凯南, 林友芳, 刘军, 郭晟楠, 万怀宇*. 面向时空交通栅格流量预测的3D通道注意力网络. 第18届中国机器学习会议(CCML 2021). 国防科技大学学报, 2022.
  35. Qian Guo, Wei Chen, Huaiyu Wan*. AOL4PS: A Large-Scale Dataset for Personalized Search. Data Intelligence (DI), 2021. 
  36. Xiaowei Mao, Tianyue Cai, Wenchuang Peng, Huaiyu Wan*. Estimated Time of Arrival Prediction via Modeling the Spatial-Temporal Interactions between Links and Crosses. The 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems  (SIGSPATIAL), 2021. 
  37. Haomin Wen, Youfang Lin, Huaiyu Wan, Shengnan Guo, Fan Wu, Lixia Wu, Chao Song, Yinghui Xu. DeepRoute+: Modeling Couriers' Spatial-Temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction. ACM Transactions on Intelligent Systems and Technology(TIST), 2021. 
  38. Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan*. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting. The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.(CCF A). 
  39. Yan Lin, Haiyu Wan, Shengnan Guo, Youfang Lin*, Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. Proc. of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.(CCF A). 
  40. Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin*. Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.(CCF A). 
  41. Shengnan Guo, Youfang Lin, Huaiyu Wan*, Xiucheng Li, Gao Cong. Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting.  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.(CCF A). 
  42. Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan*, Shengnan Guo, lixia wu, Chao Song, Yinghui Xu. Learning-based and Preference-aware Package Pick-up Route Prediction via Modeling Couriers' Historical Behaviors.   IEEE 37th International Conference on Data Engineering (ICDE), 2021. Accepted.(CCF A).
  43. Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan，Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting， Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A类会议).
  44. Shengnan Guo, Youfang Lin, Shijie Li, Zhaoming Chen, Huaiyu Wan. Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting.IEEE Transactions on Intelligent Transportation Systems (TITS), 2019, 20(10): 3913-3926. (IF=5.744, An1).
  45. Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan. Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. 33rd AAAI Conference on Artificial Intelligence (AAAI’19). 2019.
  46. Huaiyu Wan, Fuchen Li, Shengnan Guo, Zhong Cao, Youfang Lin. Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories. Proc. of the 24th International Conference on Database Systems for Advanced Applications (DASFAA), 2019 (CCF B).
  47. 冯宁, 郭晟楠, 宋超, 朱琪超, 万怀宇. 面向交通流量预测的多组件时空图卷积网络. 软件学报,2019, 30(3): 759-769.
  48. 郭晟楠, 林友芳, 金文蔚, 万怀宇. 基于时空循环卷积网络的城市区域人口流量预测. 计算机科学, 2019, 46 (6A): 385-391.
  49. 林友芳, 康友隐, 万怀宇, 吴丽娜, 张宇翔. 基于深度时空卷积网络的民航需求预测. 北京交通大学学报.72018, 42(2).
  50. 许强永, 林友芳, 万怀宇, 吴丽娜, 贾旭光. 基于用户在线查询行为分析的民航异常需求发现. 中国科学: 信息科学. 2017, 47(8).
  51. Youfang Lin, Huaiyu Wan, Rui Jiang, Zhihao Wu, Xuguang Jia. Inferring the Travel Purposes of Passenger Groups for Better Understanding of Passengers. IEEE Transactions on Intelligent Transportation Systems (TITS). 2015, 16(1): 235-243. 19(IF=2.472, An2).

时间序列分析

  1. Xiyuan Jin, Jing Wang, Shengnan Guo, Tonglong Wei, Yiji Zhao, Youfang Lin, Huaiyu Wan, Spatial–temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecasting. Expert Systems with Applications(ESWA) ,2024.
  2. Zhaoyang Ma, Jing Wang, Jinghang Yue, Youfang Lin, A homologous and heterogeneous multi-view inter-patient adaptive network for arrhythmia detection. Computer Methods and Programs in Biomedicine(CMPB) ,2023.
  3. Jiaoxue Deng, Youfang Lin, Xiyuan Jin, Xiaojun Ning, Jing Wang, Multi-view Consistency Contrastive Learning with Hard Positives for Sleep Signals. IEEE Signal Processing Letters (SPL) ,2023.
  4. Xiaojun Ning, Jing Wang, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Xiaoli Li, Ziyu Jia. MetaEmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network with Meta-learning for EEG Emotion Recognition. IEEE Transactions on Instrumentation & Measurement (IEEE TIM),2023.
  5. Xiyuan Jin, Jing Wang, Lei Liu, Youfang Lin, Uncertainty-aware Denoising Network for artifact removal in EEG signals. IEEE Transactions on Neural Systems & Rehabilitation Engineering(TNSRE),2023.(Accepted, IEEE TNSRE, SCI-An2)
  6. Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan*. WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting. The 37th Conference on Neural Information Processing Systems (NeurIPS),2023.(Accepted as spotlight)
  7. Yunfei Bai, Jing Wang*, Xueer Zhang, Xiangtai Miao, Youfang Lin. CrossFuN: Multi-View Joint Cross Fusion Network for Time series Anomaly Detection.IEEE Transactions on Instrumentation and Measurement (TIM),2023.
  8. Xiaojun Ning, Jing Wang, Wangjun Shi, Youfang Lin .A Bayesian Graph Neural Network for EEG Classification — A Win-Win on Performance and Interpretability.IEEE International Conference on Data Engineering (ICDE),2023.
  9. Jing Wang, Shikuan Shao, Yunfei Bai, Jiaoxue Deng, Youfang Lin, .Multi-Scale Wavelet Graph AutoEncoder for Multivariate Time Series Anomaly Detection.IEEE Transactions on Instrumentation & Measurement (IEEE TIM),2022.
  10. Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-wei H. Lehman. Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE),2021,An1.
  11. Ziyu Jia, Youfang Lin, Jing Wang, Zhiyang Feng, Xiangheng Xie, Caijie Chen,HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition.The 29th ACM International Conference on Multimedia (ACM MM),2021. (CCF A).
  12. Yunxiao Liu, Youfang Lin, Qinfeng Xiao, Ganghui Hu, Jing Wang*, Self-adversarial variational autoencoder with spectral residual for time series anomaly detection.Neurocomputing ,2021.
  13. Yunxiao Liu, Youfang Lin, Ziyu Jia, Yan Ma, Jing Wang*, A new dissimilarity measure based on ordinal pattern for analyzing physiological signals.Physica A: Statistical Mechanics and its Applications2021.
  14. Qinfeng Xiao, Jing Wang*, Youfang Lin, Wenbo Gongsa, Ganghui Hu, Menggang Li, Fang Wang. Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble[J].Entropy2021.
  15. Ziyu Jia, Youfang Lin, Jing Wang, Peiyi Xie, Xuehui Wang, Yingbin Zhang,SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging.International Joint Conference on Artificial Intelligence（IJCAI）2021. (CCF A).
  16. Ziyu Jia, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Jing Wang*, SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition.28th ACM International Conference on Multimedia (ACM MM, CCF A, accepted)
  17. Ziyu Jia; Xiyang Cai; Gaoxing Zheng; Jing Wang; Youfang Lin，SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging.IEEE Transactions on Artificial Intelligence,2020.
  18. Huaiyu Wan, Shengnan Guo, Kang Yin, Xiaohui Liang, Youfang Lin. CTS-LSTM: LSTM-based Neural Networks for Correlated Time Series Prediction.Knowledge-Based Systems (KBS),2020, 191: 105239. (IF=5.101, An2).
  19. Ziyu Jia, Youfang Lin, Jing Wang, Kaixin Yang, Tianhang Liu and Xinwang Zhang, MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020. (CCF B).
  20. Ziyu Jia, Youfang Lin, Yunxiao Liu, Zehui Jiao, and Jing Wang, Refined nonuniform embedding for coupling detection in multivariate time series, Physical Review E,101: 062113, 2020. （SCIE-An2）.
  21. Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao, GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification, International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CCF A）.
  22. 贾子钰; 林友芳; 张宏钧; 王晶, 基于深度卷积神经网络的睡眠分期模型, 浙江大学学报（工学版）， 2020. （已接收）(EI-An5).
  23. Ziyu Jia, Youfang Lin, Zehui Jiao, Yan Ma, Jing Wang, Detecting Causality in Multivariate Time Series via Non-Uniform Embedding, Entropy, 21(12): 1233, 2019. (SCIE-An3).
  24. Lei Wang, Youfang Lin, Jing Wang(通讯), A RR interval based automated apnea detection approach using residual network. Computer methods and programs in biomedicine. 176 (2019): 93-104.(SCI-An3).
  25. Jiayi He, Pengjian Shang, Jing Wang(通讯), A complexity measure for heart rate signals. Physica A: Statistical Mechanics and its Applications. 533 (2019) 122054.(SCI-An3).
  26. Yunxiao Liu, Youfang Lin, Jing Wang(通讯), Pengjian Shang. Refined generalized multiscale entropy analysis for physiological signals. Physica A: Statistical Mechanics and its Applications. 490 (2018) 975-985.(SCI-An3).
  27. Liangjie Wei, Youfang Lin, Jing Wang(通讯), Yan Ma, Time-Frequency Convolutional Neural Network for Automatic Sleep Stage Classification Based on Single-Channel EEG 29th International Conference on Tools with Artificial Intelligence(ICTAI).Boston, MA, USA, 2017.11.06-11.08.(CCF-C会议).
  28. Jing Wang, Pengjian Shang, Wenbin Shi, Xingran Cui. Dissimilarity measure based on ordinal pattern for physiological signals.Communications in Nonlinear Science and Numerical Simulation. 2016, 37: 115-124.(IF=2.866, An1).
  29. Jing Wang, Pengjian Shang, Jianan Xia, Wenbin Shi. EMD based refined composite multiscale entropy analysis of complex signals. Physica A: Statistical Mechanics and its Applications. 2015, 421: 583-593.(IF=1.732, An3).
  30. Jing Wang, Pengjian Shang, Xingran Cui. Multiscale multifractal analysis of traffic signals to uncover richer structures. Physical Review E. 2014, 89: 032916.(IF=2.288, An2).
  31. Jing Wang, Pengjia Shang, Aijin Lin, Yuechen Chen. Segmented inner composition alignment to detect coupling of different subsystems. Nonlinear Dynamics.2014, 76: 1821-1828.(IF=2.849, An1).
  32. Jing Wang, Pengjian Shang, Keqiang Dong. Effect of linear and nonlinear filters on multifractal analysis. Applied Mathematics and Computation. 2013, 224: 337-345.(IF=1.551, An2).
  33. Jing Wang, Pengjian Shang, Xiaojun Zhao, Jianan Xia. Multiscale entropy analysis of traffic time series. International Journal of Modern Physics C. 2013, 24(2): 1350006.(IF=1.699, An4).
  34. Jing Wang, Pengjian Shang, Weijie Ge. Multifractal cross-correlation analysis based on statistical moments. Fractals. 2012, 20(3): 271-279.(IF=1.22, An3).
  35. Jing Wang, Pengjian Shang, Xiaojun Zhao. A new traffic speed forecasting method based on bi-pattern recognition. Fluctuation and Noise Letters. 2011, 10(1): 59-75.(IF=0.811, An4).

智能决策技术

  1. Shuo Wang, Zhihao Wu, Jinwen Wang, Xiaobo Hu, Youfang Lin, Kai Lv*. How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective，33rd International Joint Conference on Artificial Intelligence (IJCAI’24)， 2024.
  2. Xiaobo Hu, Youfang Lin, Hehe Fan, Shuo Wang, Zhihao Wu , Kai Lv. Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation，ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024.
  3. Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv*.Enhancing Off-policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation，38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
  4. Shuo Wang, Zhihao Wu, Xiaobo Hu, Jinwen Wang, Youfang Lin, Kai Lv*.What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction，38th AAAI Conference on Artificial Intelligence (AAAI’24), 2024.
  5. Xiaobo Hu, Youfang Lin, Shuo Wang, Zhihao Wu and Kai Lv*. Agent-Centric Relation Graph for Object Visual Navigation，IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2023.
  6. Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Youfang Lin, Shou cheng Song, Han Wang, Li Jiang.Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL，Conference and Workshop on Neural Information Processing Systems, 2023.
  7. Shuo Wang,Zhihao Wu,Xiaobo Hu,Youfang Lin,Kai Lv*.Skill-based Hierarchical Reinforcement Learning for Target Visual Navigation.IEEE Transactions on Multimedia (TMM), 2023.(SCI, Q1, IF=8.182, An 1区, CCF B类期刊).
  8. Xiangsen Wang, Youfang Lin, Xiaoyang Yu, Shuo Zhang, Sheng Han. Learning Correlated Policies for Multi-Agent Cooperation.International Joint Conference on Neural Networks (IJCNN), 2023.(CCF C类会议).
  9. Shuai Han, Zhihao Wu, Youfang Lin, Kai Lv. Viewpoint-aware Channel Selection for Vehicle Re-identification.International Joint Conference on Neural Networks (IJCNN), 2023.(CCF C类会议).
  10. Han Wang, Youfang Lin, Sheng Han, Kai Lv. Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term.International Conference on Knowledge Science, Engineering and Management (KSEM), 2023.(CCF C类会议).
  11. Hengrui Zhang,Youfang Lin,Sheng Han,Kai Lv*.Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving.IEEE Transactions on Vehicular Technology (TVT), 2022.
  12. Sheng Han, Youfang Lin, Zhihui Guo, and Kai Lv. A Lightweight and Style-Robust Neural Network for Autonomous Driving in End Side Devices.Connection Science, 2022.(SCI, CCF C类期刊, IF=3.53).
  13. Xi Cao, Huaiyu Wan, Youfang Lin and Sheng Han.  High-Value Prioritized Experience Replay for Off-policy Reinforcement Learning. Proc. of the 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019. (CCF C).
  14. Youfang Lin, Siqiao Wu, Xiangpeng Bai. An Efficient Approach of Map-learning on Service Robot in Complex Office Environment using Laser Radar. 14th IEEE International Conference on Control, Automation, Robotics and Vision.2016.
  15. Youfang Lin, Shen Li, Sujie Liu, Yuchang Chen. An Efficient Approach to Mobile Robot Motion Planning in Dynamically Unknown Environments. Proceedings of the 13th International Conference on Control, Automation, Robotics and Vision (ICARCV'14). 2014.

计算机视觉

  1. Kai Lv, Haobo Chen, Chuyang Zhao, Kai Tu, Junru Chen, Yadong Li, Boxun Li, and Youfang Lin*. Style Variable and Irrelevant Learning for Generalizable Person Re-identification. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2024.
  2. Shuo Zhang, Zexu Pan, Yichang Lv, Youfang Lin.Hierarchical Edge Refinement Network for Guided Depth Map Super-Resolution.  IEEE Transactions on Computational Imaging(TCI), 2024.
  3. Kai Lv, Shuo Wang, Shuai Han, Youfang Lin. Spatially-Regularized Features for Vehicle Re-identification: An Explanation of Where Deep Models Should Focus,     IEEE Transactions on Intelligent Transportation Systems (TITS), 2023.
  4. Zeqi Shen,  Shuo Zhang*, Youfang Lin,  Light Field Reflection and Background Separation Network Based on Adaptive Focus Selection [J],    IEEE Transactions on Computational Imaging (TCI), 2023.( IF 4.015, An 2区) .
  5. Xianglang Wang, Youfang Lin, Shuo Zhang*, Multi-Stream Progressive Restoration for Low-Light Light Field Enhancement and Denoising [J],   IEEE Transactions on Computational Imaging (TCI), 2023.( IF 4.015, An 2区) .
  6. Yangling Chen, Shuo Zhang*, Song Chang, Youfang Lin, Light Field Reconstruction using Efficient Pseudo 4D Epipolar-Aware Structure  [J],   IEEE Transactions on Computational Imaging  (TCI), 2022.( IF 4.015, An 2区) .
  7. Song Chang, Youfang Lin, Shuo Zhang*, Flexible Hybrid Lenses Light Field Super-Resolution using Layered Refinement,   The 30th ACM International Conference on Multimedia (ACM MM), 2022.(CCF A类会议) .
  8. Shuo Zhang, Song Chang, Zeqi Shen, Youfang Lin*,  Micro-lens Image Upsampling for Densely-Sampled Light Field Reconstruction,   IEEE Transactions on Computational Imaging  (TCI), 2021..
  9. Dong Jing, Shuo Zhang*, Runmin Cong, Youfang Lin, Occlusion-aware Bi-directional Guided Network for Light Field Salient Object Detection,   The 29th ACM International Conference on Multimedia (ACM MM), 2021.(CCF A类会议) .
  10. Shuo Zhang, Zeqi Shen, Youfang Lin*, " Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter [C]",    the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021. 已接收(CCF A类会议) .
  11. Jiaxin Chen, Shuo Zhang*, Youfang Lin, '' Attention-based Multi-Level Fusion Network for Light Field Depth Estimation [C]'',  The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A类会议) .
  12. Weikun Wang, Youfang Lin, Shuo Zhang*, "Enhanced Spinning Parallelogram Operator Combining Color Constraint and Histogram Integration for Robust Light Field Depth Estimation [J]",  IEEE Signal Processing Letters, 2021.已接收 (CCF C类期刊, IF 3.15, JCR Q1区)  .
  13. Shuo Zhang, Song Chang,Youfang Lin. End-to-End Light Field Spatial Super-Resolution Network using Multiple Epipolar Geometry, IEEE Transactions on Image Processing（TIP）, 2021. (CCF A).
  14. Shuo Zhang, Youfang Lin, Hao Sheng, Residual Network for Light Field Super-Resolution, IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019. (CCF A).
  15. Shuo Zhang, Hao Sheng, Jun Zhang, and Zhang Xiong, Micro-lens-based Matching for Scene Recovery in Lenslet Cameras, IEEE Transaction on Image Processing (TIP).2018, 27(3).(CCF A, IF=9.34, An 1).
  16. HaoSheng, Shuo Zhang, Xiaochun Cao, Yajun Fang, and Zhang Xiong, Geometric Occlusion Analysis in Depth Estimation using Integral Guided Filter for Light-Field Image, IEEE Transaction on Image Processing (TIP).2017, 26(12):5758-5771.(CCF A, IF=9.34, An 1).
  17. HaoSheng, Pan Zhao, and Shuo Zhang, Jun Zhang and Da Yang, Occlusion-Aware Depth Estimation for Light Field Using Multi-Orientation EPIs,Pattern Recognition.2017.(CCF B, IF=7.196, An 1).
  18. Ole Johannsen, Katrin Honauer, Bastian Goldluecke,...Shuo Zhang..., A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2017.
  19. Shuo Zhang, Hao Sheng, Chao Li, and Zhang Xiong, Robust Depth Estimation for Light Field via Spinning Parallelogram Operator, Computer Vision and Image Understanding.2016, 145(C):148-159. (CCF B，IF=3.121，An 3 #该算法在2017CVPR-4D 光场深度估计竞赛中，获得了遮挡情况下深度估计的冠军。 ).
  20. HaoSheng, Shuo Zhang, Xiaoyu Liu, and Zhang Xiong, Relative Location for Light Field Saliency Detection,IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2016:1631-1635.(CCF B).
  21. HaoSheng, Xiaoyu Liu, and Shuo Zhang, Saliency Analysis based on Depth Contrast Increased,IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2016:1347-1351. (CCF B).
  22. HaoSheng, Shuo Zhang, Gengliang Zhu, and Zhang Xiong, Guided Integral Filter Desgin for Light Field Stereo Matching,IEEE International Conference on Image Processing (ICIP). 2015:852-856.(CCF C).

文本挖掘与信息抽取

  1. Wei Chen, Huaiyu Wan, Yuting Wu, Shuyuan Zhao, Jiayaqi Cheng, Yuxin Li, Youfang Lin. Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning.IEEE International Conference on Data Engineering (ICDE), 2019.
  2. Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin. Improving Relation Classification by Entity Pair Graph.Proc. of the 11th Asian Conference on Machine Learning (ACML), 2019. (CCF C).
  3. Yuze Ji, Youfang Lin, Jianwei Gao, Huaiyu Wan. Exploiting the Entity Type Sequence to Benefit Event Detection.Proc. of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019. (CCF C).
  4. 沈兰奔, 武志昊, 纪宇泽, 林友芳, 万怀宇. 结合注意力机制与双向LSTM的中文事件检测方法. 中文信息学报. 2019, 33(9): 79-87.
  5. 吕亿林, 田宏韬, 高建伟, 万怀宇. 结合百科知识与句子语义特征的关系抽取方法.计算机科学, 2019, 已接收.
  6. 张东雷, 万怀宇, 林友芳, 陆金梁, 马语丹. 在线技术社区的用户技能与兴趣发现.中文信息学报. 2018, 32(7).
  7. 马语丹, 赵义, 金婧, 万怀宇*. 结合实体共现信息与句子语义特征的关系抽取方法.中国科学: 信息科学, 2018, 48(11): 1533-1545.
  8. Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, Jie Tang. Extracting Relations from Traditional Chinese Medicine Literature via Heterogeneous Entity Networks.Journal of the American Medical Informatics Association (JAMIA). 2016, 23(2): 356-365. (IF=3.932, An2).

组合优化与调度

  1. Xiuzhao Hao， Zhihao Wu，Haiguang Zhou， Xiangpeng Bai， Youfang Lin，Sheng Han， Motion Coordination of Multiple Robots Based on Deep Reinforcement Learning. 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019.
  2. 崔如玉, 董兴业, 林友芳. Models for aircraft maintenance routing problem with consideration of remaining time and robustness[J]. Computers & Industrial Engineering, 2019, v137.
  3. Xingye Dong, Maciek Nowak, Ping Chen, Youfang Lin. Self-adaptive Perturbation and Multi-neighborhood Search for Iterated Local Search on the Permutation Flow Shop Problem. Computers and Industrial Engineering (CIE).2015, 87: 176-185.(IF=1.783, An3).
  4. Zhenzhen Wen, Xingye Dong, Sheng Han. An iterated local search for the split delivery vehicle routing problem. Proceedings of the 2015 International Conference on Advanced Electronics and Communications Engineering (ICAECE'15). 2015.
  5. Xingye Dong, Maciek Nowak, Ping Chen, Youfang Lin. A self-adaptive iterated local search algorithm on the permutation flow shop scheduling problem. Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO'14). 2014.
  6. Zhengsheng Wei, Haohua Li, Mingwei Li, Xingye Dong. Heuristic research on a resource constrained project scheduling problem. Proceedings of the 2014 Asia-Pacific Computer Science and Application Conference (APCSAC'14). 2014.
  7. Xingye Dong, Ping Chen, Houkuan Huang and Maciek Nowak. A Multi-restart Iterated Local Search Algorithm for the Permutation Flow Shop Problem Minimizing Total Flow Time. Computers and Operations Research (COR). 2013, 40(2): 627-632.(IF=1.861, An3).
  8. Xingye Dong, Ping Chen, Houkuan Huang and Maciek Nowak. An Acceleration Method for the Permutation Flow Shop Problem Minimizing Total Flow Time. Proceedings of the 2012 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM'12). 2012.
  9. Xingye Dong, Ping Chen, Houkuan Huang. An improved iterated local search algorithm for the permutation flowshop problem with total flowtime. Proceedings of the 2011 International Conference on Automation and Robotics (ICAR'11). 2011.
  10. Xingye Dong, Houkuan Huang, Ping Chen. Study on iterated local search algorithm for permutation flowshop problem with total flowtime objective. Proceedings of the 2011 International Conference of Applied Informatics and Communication (CCIS'11). 2011.
  11. Ping Chen, Houkuan Huang, Xingye Dong. Iterated variable neighborhood descent algorithm for the capacitated vehicle routing problem.Expert Systems with Applications.2010, 37: 1620-1627. (IF=1.965, An3).
  12. Xingye Dong, Houkuan Huang, Ping Chen. An iterated local search algorithm for the permutation flowshop problem with total flowtime criterion.Computers and Operations Research (COR). 2009, 36(5): 1664-1669. (IF=1.861, An3).
  13. Xingye Dong, Houkuan Huang, Ping Chen. An improved NEH-based heuristic for the permutation flowshop problem.Computers and Operations Research (COR). 2008, 35(12): 3962-3968.(IF=1.861, An3).

复杂网络与社交网络挖掘

  1. Yiji Zhao, Youfang Lin, Zhihao Wu, Yang Wang, Haomin Wen.Context-aware Distance Measures for Dynamic Networks. ACM Transactions on the Web（TWEB）, 2021. (CCF B)
  2. Huaiyu Wan, Yutao Zhang, Jing Zhang, Jie Tang. AMiner: Search and Mining of Academic Social Networks. Data Intelligence (DI), 2019. 1(1): 58-76.
  3. Zhihao Wu, Youfang Lin, Yiji Zhao, Hongyan Yan. Improving local clustering based top-L link prediction methods via asymmetric link clustering information. Physica A: Statistical Mechanics and its Applications. 2018, 492(15).
  4. Zhihao Wu, Youfang Lin, Huaiyu Wan, Waleed Jamil. Predicting top-L missing links with node and link clustering information in large-scale networks.Journal of Statistical Mechanics: Theory and Experiment. 2016, 452: 1-8. (IF=2.09, An2).
  5. Zhihao Wu, Youfang Lin, Jing Wang, Steve Gregory. Link prediction with node clustering coefficient.Physica A: Statistical Mechanics and its Applications. 2016, 452: 1-8. (IF=1.732, An3).
  6. Zhihao Wu, Giulia Menichetti, Christoph Rahmede, Ginestra Bianconi. Emergent Complex Network Geometry.Scientific Reports. 2015, 5: 10073. (IF=5.578, An2).
  7. Huaiyu Wan, Zhiwei Wang, Youfang Lin, Xuguang Jia, Yuanwei Zhou. Discovering Family Groups in Passenger Social Networks.Journal of Computer Science and Technology (JCST). 2015, 30(5): 1141-1153. (IF=0.672, An4) .
  8. 林友芳, 王琨琨, 周超, 万怀宇, 武志昊. 基于社交网络的民航旅客偏好建模. 北京交通大学学报.2014, 38(6).
  9. 林友芳, 张奥爽, 万怀宇, 武志昊. 一种基于社交网络的民航新旅客成长性预测方法. 北京交通大学学报.2014, 38(6).
  10. Huaiyu Wan, Youfang Lin, Zhihao Wu, Houkuan Huang. Discovering Typed Communities in Mobile Social Networks. Journal of Computer Science and Technology (JCST). 2012, 27(3): 480-491. (IF=0.672, An4).
  11. Zhihao Wu, Youfang Lin, Steve Gregory, Huaiyu Wan, Shengfeng Tian. Balanced Multi-Label Propagation for Overlapping Community Detection in Social Networks. Journal of Computer Science and Technology (JCST) . 2012, 27(3): 480-491. (IF=0.672, An4).
  12. Zhihao Wu, Youfang Lin, Huaiyu Wan, Shengfeng Tian, Keyun Hu. Efficient Overlapping Community Detection in Huge Real-world Networks. Physica A: Statistical Mechanics and its Applications. 2012, 391(7): 2475-2490. (IF=1.732, An3).
  13. Huaiyu Wan, Youfang Lin, Zhihao Wu, Houkuan Huang. A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks. Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'11). Lecture Notes in Artificial Intelligence 6913, 2011.
  14. Jiayu Zhou, Youfang Lin, Xi Wang. Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach. Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI'08). 2008.

数据集

●Civil Aviation Passenger Groups

算法代码

●Zhihao Wu,BMLPA program and user’s guide
●Zhihao Wu,CONA program and user’s guide
●Zhihao Wu, Clustering Ability (CA)
●Zhihao Wu, Link Prediction (NLC)

算法演示

●An Efficient Approach to Mobile Robot Motion Planning in Dynamically Unknown Environments 演示
●网络演化过程演示