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2020 – today
- 2024
- [j54]Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang:
Focus on informative graphs! Semi-supervised active learning for graph-level classification. Pattern Recognit. 153: 110567 (2024) - [j53]Xiangjie Kong, Zhehui Shen, Kailai Wang, Guojiang Shen, Yanjie Fu:
Exploring Bus Stop Mobility Pattern: A Multi-Pattern Deep Learning Prediction Framework. IEEE Trans. Intell. Transp. Syst. 25(7): 6604-6616 (2024) - [j52]Yimei Zhang, Xiangjie Kong, Wenfeng Zhou, Jin Liu, Yanjie Fu, Guojiang Shen:
A Comprehensive Survey on Traffic Missing Data Imputation. IEEE Trans. Intell. Transp. Syst. 25(12): 19252-19275 (2024) - [j51]Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong:
DEWP: Deep Expansion Learning for Wind Power Forecasting. ACM Trans. Knowl. Discov. Data 18(3): 71:1-71:21 (2024) - [j50]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. ACM Trans. Knowl. Discov. Data 18(4): 76:1-76:22 (2024) - [j49]Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu:
Feature Selection as Deep Sequential Generative Learning. ACM Trans. Knowl. Discov. Data 18(9): 221:1-221:21 (2024) - [j48]Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong:
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning. ACM Trans. Web 18(2): 18:1-18:26 (2024) - [j47]Pengfei Wang, Daqing Wu, Chong Chen, Kunpeng Liu, Yanjie Fu, Jianqiang Huang, Yuanchun Zhou, Jianfeng Zhan, Xiansheng Hua:
Deep Adaptive Graph Clustering via von Mises-Fisher Distributions. ACM Trans. Web 18(2): 22:1-22:21 (2024) - [c118]Xuanming Hu, Dongjie Wang, Wangyang Ying, Yanjie Fu:
Reinforcement Feature Transformation for Polymer Property Performance Prediction. CIKM 2024: 4538-4545 - [c117]Arun Vignesh Malarkkan, Dongjie Wang, Yanjie Fu:
Multi-view Causal Graph Fusion Based Anomaly Detection in Cyber-Physical Infrastructures. CIKM 2024: 4760-4767 - [c116]Wangyang Ying, Dongjie Wang, Xuanming Hu, Ji Qiu, Jin Park, Yanjie Fu:
Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration. CIKM 2024: 5046-5053 - [c115]Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu:
Tabular Data-centric AI: Challenges, Techniques and Future Perspectives. CIKM 2024: 5522-5525 - [c114]Yanjie Fu, Kunpeng Liu, Dongjie Wang:
DCAI: The 4th International Workshop on Data-Centric AI. CIKM 2024: 5584-5587 - [c113]Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu:
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. IJCAI 2024: 2063-2071 - [c112]Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang:
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. IJCAI 2024: 2607-2615 - [c111]Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu:
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. KDD 2024: 3966-3976 - [c110]Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong:
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. KDD 2024: 4302-4313 - [c109]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM 2024: 370-378 - [c108]Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu:
Feature Interaction Aware Automated Data Representation Transformation. SDM 2024: 878-886 - [i72]Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong:
DEWP: Deep Expansion Learning for Wind Power Forecasting. CoRR abs/2401.00644 (2024) - [i71]Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu:
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows. CoRR abs/2401.16777 (2024) - [i70]Xinyuan Wang, Liang Wu, Liangjie Hong, Hao Liu, Yanjie Fu:
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations. CoRR abs/2402.09617 (2024) - [i69]Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu:
Feature Selection as Deep Sequential Generative Learning. CoRR abs/2403.03838 (2024) - [i68]Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu:
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent. CoRR abs/2403.04015 (2024) - [i67]Nanxu Gong, Wangyang Ying, Dongjie Wang, Yanjie Fu:
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation. CoRR abs/2404.17157 (2024) - [i66]Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou:
A Comprehensive Survey on Data Augmentation. CoRR abs/2405.09591 (2024) - [i65]Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Yanjie Fu:
Evolutionary Large Language Model for Automated Feature Transformation. CoRR abs/2405.16203 (2024) - [i64]Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu:
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. CoRR abs/2405.16879 (2024) - [i63]Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang:
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. CoRR abs/2406.16992 (2024) - [i62]Wangyang Ying, Dongjie Wang, Xuanming Hu, Ji Qiu, Jin Park, Yanjie Fu:
Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration. CoRR abs/2409.15612 (2024) - [i61]Xuanming Hu, Dongjie Wang, Wangyang Ying, Yanjie Fu:
Reinforcement Feature Transformation for Polymer Property Performance Prediction. CoRR abs/2409.15616 (2024) - [i60]Wangyang Ying, Haoyue Bai, Kunpeng Liu, Yanjie Fu:
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data. CoRR abs/2411.05742 (2024) - 2023
- [j46]Dongjie Wang, Kunpeng Liu, Yanyong Huang, Leilei Sun, Bowen Du, Yanjie Fu:
Automated urban planning aware spatial hierarchies and human instructions. Knowl. Inf. Syst. 65(3): 1337-1364 (2023) - [j45]Kunpeng Liu, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Interactive reinforced feature selection with traverse strategy. Knowl. Inf. Syst. 65(5): 1935-1962 (2023) - [j44]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. IEEE Trans. Big Data 9(1): 186-199 (2023) - [j43]Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu:
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams. IEEE Trans. Big Data 9(3): 832-844 (2023) - [j42]Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin:
Reinforced Explainable Knowledge Concept Recommendation in MOOCs. ACM Trans. Intell. Syst. Technol. 14(3): 43:1-43:20 (2023) - [j41]Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li:
UrbanKG: An Urban Knowledge Graph System. ACM Trans. Intell. Syst. Technol. 14(4): 60:1-60:25 (2023) - [j40]Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong:
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. ACM Trans. Knowl. Discov. Data 17(5): 68:1-68:24 (2023) - [j39]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. IEEE Trans. Knowl. Data Eng. 35(2): 1624-1636 (2023) - [j38]Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong:
Automated Feature Selection: A Reinforcement Learning Perspective. IEEE Trans. Knowl. Data Eng. 35(3): 2272-2284 (2023) - [j37]Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang:
Learning Adaptive Embedding Considering Incremental Class. IEEE Trans. Knowl. Data Eng. 35(3): 2736-2749 (2023) - [j36]Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Hui Xiong:
Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation. IEEE Trans. Knowl. Data Eng. 35(6): 6194-6208 (2023) - [j35]Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong:
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning. IEEE Trans. Knowl. Data Eng. 35(7): 7239-7250 (2023) - [j34]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou:
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. IEEE Trans. Knowl. Data Eng. 35(9): 9685-9699 (2023) - [j33]Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes:
Reinforced Imitative Graph Learning for Mobile User Profiling. IEEE Trans. Knowl. Data Eng. 35(12): 12944-12957 (2023) - [j32]Miaomiao Liu, Kang Yang, Yanjie Fu, Dapeng Oliver Wu, Wan Du:
Driving Maneuver Anomaly Detection Based on Deep Auto-Encoder and Geographical Partitioning. ACM Trans. Sens. Networks 19(2): 37:1-37:22 (2023) - [j31]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Trans. Spatial Algorithms Syst. 9(1): 2:1-2:24 (2023) - [j30]Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, Hui Xiong:
Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training. VLDB J. 32(2): 325-342 (2023) - [c107]Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu:
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling. AAAI 2023: 4293-4301 - [c106]Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu:
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. AAAI 2023: 4660-4667 - [c105]Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu:
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. AAAI 2023: 7522-7529 - [c104]Honglong Wang, Yanjie Fu, Junjie Li, Meng Ge, Longbiao Wang, Xinyuan Qian:
Stream Attention Based U-Net for L3DAS23 Challenge. ICASSP 2023: 1-2 - [c103]Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu:
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. ICDE 2023: 1927-1939 - [c102]Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang:
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. ICDM 2023: 160-169 - [c101]Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. ICDM 2023: 688-697 - [c100]Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu:
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing. ICDM 2023: 748-757 - [c99]Camilo Gomez, Pengyang Wang, Yanjie Fu:
Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation. ICDM 2023: 1043-1048 - [c98]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. IJCAI 2023: 2086-2094 - [c97]Honglong Wang, Chengyun Deng, Yanjie Fu, Meng Ge, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Fei Wang:
SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation. INTERSPEECH 2023: 3739-3743 - [c96]Yanjie Fu, Meng Ge, Honglong Wang, Nan Li, Haoran Yin, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang:
Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation. INTERSPEECH 2023: 3789-3793 - [c95]Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Incremental Causal Graph Learning for Online Root Cause Analysis. KDD 2023: 2269-2278 - [c94]Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Interdependent Causal Networks for Root Cause Localization. KDD 2023: 5051-5060 - [c93]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. NeurIPS 2023 - [c92]Ehtesamul Azim, Dongjie Wang, Yanjie Fu:
Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems. PAKDD (4) 2023: 83-95 - [c91]Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu:
Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. SDM 2023: 343-351 - [c90]Khandakar Tanvir Ahmed, Sudipto Baul, Yanjie Fu, Wei Zhang:
Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate. SDM 2023: 469-477 - [c89]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. SDM 2023: 775-783 - [i59]Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization. CoRR abs/2302.01987 (2023) - [i58]Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu:
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. CoRR abs/2302.09746 (2023) - [i57]Ehtesamul Azim, Dongjie Wang, Yanjie Fu:
Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems. CoRR abs/2302.12918 (2023) - [i56]Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu:
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. CoRR abs/2302.14829 (2023) - [i55]Dongjie Wang, Chang-Tien Lu, Yanjie Fu:
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning. CoRR abs/2304.03892 (2023) - [i54]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. CoRR abs/2304.12604 (2023) - [i53]Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR abs/2305.10638 (2023) - [i52]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. CoRR abs/2306.16893 (2023) - [i51]Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. CoRR abs/2309.01717 (2023) - [i50]Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu:
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing. CoRR abs/2309.04612 (2023) - [i49]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. CoRR abs/2309.13618 (2023) - [i48]Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu:
Feature Cognition Enhancement via Interaction-Aware Automated Transformation. CoRR abs/2309.17011 (2023) - [i47]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. CoRR abs/2310.02453 (2023) - 2022
- [j29]Fayaz Ali Dharejo, Muhammad Zawish, Yuanchun Zhou, Steven Davy, Kapal Dev, Sunder Ali Khowaja, Yanjie Fu, Nawab Muhammad Faseeh Qureshi:
FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT. IEEE Trans. Fuzzy Syst. 30(11): 4578-4592 (2022) - [j28]Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2. ACM Trans. Intell. Syst. Technol. 13(2): 17:1-17:4 (2022) - [j27]Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong:
Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach. IEEE Trans. Knowl. Data Eng. 34(12): 5681-5692 (2022) - [c88]Richard C. Yarnell, Daniel Brignac, Yanjie Fu, Ronald F. DeMara:
Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets. AI4I 2022: 73 - [c87]Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv:
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation. ICDM 2022: 201-210 - [c86]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang:
Kernel-based Substructure Exploration for Next POI Recommendation. ICDM 2022: 221-230 - [c85]Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. ICDM 2022: 438-447 - [c84]Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu:
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. ICLR 2022 - [c83]Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. IJCAI 2022: 2016-2022 - [c82]Haoran Yin, Meng Ge, Yanjie Fu, Gaoyan Zhang, Longbiao Wang, Lei Zhang, Lin Qiu, Jianwu Dang:
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources. INTERSPEECH 2022: 891-895 - [c81]Yanjie Fu, Meng Ge, Haoran Yin, Xinyuan Qian, Longbiao Wang, Gaoyan Zhang, Jianwu Dang:
Iterative Sound Source Localization for Unknown Number of Sources. INTERSPEECH 2022: 896-900 - [c80]Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong:
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction. KDD 2022: 516-524 - [c79]Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu:
Semi-supervised Drifted Stream Learning with Short Lookback. KDD 2022: 1504-1513 - [c78]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin:
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. KDD 2022: 1826-1834 - [c77]Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong:
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting. KDD 2022: 2296-2306 - [c76]Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. SDM 2022: 711-719 - [c75]Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie:
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW 2022: 2098-2108 - [i46]Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu:
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams. CoRR abs/2201.10983 (2022) - [i45]Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes:
Reinforced Imitative Graph Learning for Mobile User Profiling. CoRR abs/2203.06550 (2022) - [i44]Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu:
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. CoRR abs/2203.07681 (2022) - [i43]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou:
Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals. CoRR abs/2203.10922 (2022) - [i42]Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. CoRR abs/2205.07867 (2022) - [i41]Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu:
Semi-supervised Drifted Stream Learning with Short Lookback. CoRR abs/2205.13066 (2022) - [i40]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin:
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. CoRR abs/2205.14526 (2022) - [i39]Yanjie Fu, Meng Ge, Haoran Yin, Xinyuan Qian, Longbiao Wang, Gaoyan Zhang, Jianwu Dang:
Iterative Sound Source Localization for Unknown Number of Sources. CoRR abs/2206.12273 (2022) - [i38]Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong:
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting. CoRR abs/2206.13816 (2022) - [i37]Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong:
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction. CoRR abs/2206.15005 (2022) - [i36]Haoran Yin, Meng Ge, Yanjie Fu, Gaoyan Zhang, Longbiao Wang, Lei Zhang, Lin Qiu, Jianwu Dang:
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources. CoRR abs/2207.07307 (2022) - [i35]Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou:
Self-Optimizing Feature Transformation. CoRR abs/2209.08044 (2022) - [i34]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou:
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. CoRR abs/2209.13519 (2022) - [i33]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang:
Kernel-based Substructure Exploration for Next POI Recommendation. CoRR abs/2210.03969 (2022) - [i32]Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. CoRR abs/2211.01154 (2022) - [i31]Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu:
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning. CoRR abs/2212.00904 (2022) - [i30]Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv:
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation. CoRR abs/2212.01842 (2022) - [i29]Yanjie Fu, Haoran Yin, Meng Ge, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang:
MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation. CoRR abs/2212.03401 (2022) - [i28]Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu:
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations. CoRR abs/2212.12932 (2022) - [i27]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. CoRR abs/2212.13402 (2022) - 2021
- [j26]Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu:
Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. Frontiers Big Data 4: 690970 (2021) - [j25]Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers Big Data 4: 762899 (2021) - [j24]Weijieying Ren, Kunpeng Liu, Tianxiang Zhao, Yanjie Fu:
Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases. Frontiers Big Data 4: 787459 (2021) - [j23]Jiang Bian, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo, Jun Wang:
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 541-553 (2021) - [j22]Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1. ACM Trans. Intell. Syst. Technol. 12(6): 67:1-67:3 (2021) - [j21]Pengyang Wang, Xiaolin Li, Yu Zheng, Charu Aggarwal, Yanjie Fu:
Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies. IEEE Trans. Knowl. Data Eng. 33(2): 728-741 (2021) - [c74]Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu:
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. AAAI 2021: 4410-4417 - [c73]Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong:
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. AAAI 2021: 4617-4625 - [c72]Dakshak Keerthi Chandra, Jennifer L. Leopold, Yanjie Fu:
NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data. IEEE BigData 2021: 2884-2893 - [c71]Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. SIGSPATIAL/GIS 2021: 450-453 - [c70]Meng Zhou, Jingbo Zhou, Yanjie Fu, Zhaochun Ren, Xiaoli Wang, Hui Xiong:
Description Generation for Points of Interest. ICDE 2021: 2213-2218 - [c69]Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. ICDM 2021: 399-408 - [c68]Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu:
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. ICDM 2021: 679-688 - [c67]Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou:
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. ICDM 2021: 757-766 - [c66]Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu:
Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. ICDM 2021: 1054-1059 - [c65]Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong:
Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting. KDD 2021: 547-555 - [c64]Kunpeng Liu, Haibo Huang, Wei Zhang, Ahmad Hariri, Yanjie Fu, Kien A. Hua:
Multi-Armed Bandit Based Feature Selection. SDM 2021: 316-323 - [c63]Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu:
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. SDM 2021: 342-350 - [c62]Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu:
EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. SDM 2021: 567-575 - [i26]Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu:
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. CoRR abs/2101.02634 (2021) - [i25]Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang:
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. CoRR abs/2109.06661 (2021) - [i24]Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. CoRR abs/2109.11053 (2021) - [i23]Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. CoRR abs/2109.14180 (2021) - [i22]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. CoRR abs/2110.07336 (2021) - [i21]Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu:
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. CoRR abs/2110.07717 (2021) - [i20]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. CoRR abs/2112.14699 (2021) - 2020
- [j20]Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong:
Multi-Modal Transportation Recommendation with Unified Route Representation Learning. Proc. VLDB Endow. 14(3): 342-350 (2020) - [j19]Xin Xu, Yanjie Fu, Jingyi Wu, Yuqi Wang, Zeyu Huang, Zhiguo Fu, Minghao Yin:
Adaptive Weighted Finite Mixture Model: Identifying the Feature-Influence of Real Estate. Trans. Data Sci. 1(3): 20:1-20:16 (2020) - [j18]Jian Kang, Douglas Steiert, Dan Lin, Yanjie Fu:
MoveWithMe: Location Privacy Preservation for Smartphone Users. IEEE Trans. Inf. Forensics Secur. 15: 711-724 (2020) - [j17]Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, Zhishan Guo:
MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. ACM Trans. Knowl. Discov. Data 14(3): 26:1-26:22 (2020) - [j16]Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang:
A Hierarchical Attention Model for Social Contextual Image Recommendation. IEEE Trans. Knowl. Data Eng. 32(10): 1854-1867 (2020) - [c61]Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang:
Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. CIKM 2020: 585-594 - [c60]Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu:
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding. CIKM 2020: 615-624 - [c59]Kunpeng Liu, Xiaolin Li, Cliff C. Zou, Haibo Huang, Yanjie Fu:
Ambulance Dispatch via Deep Reinforcement Learning. SIGSPATIAL/GIS 2020: 123-126 - [c58]Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu:
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. SIGSPATIAL/GIS 2020: 497-506 - [c57]Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu:
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. ICDM 2020: 32-41 - [c56]Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou:
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. ICDM 2020: 432-441 - [c55]Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu:
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. ICDM 2020: 871-880 - [c54]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM 2020: 1008-1013 - [c53]Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua:
Exploiting Mutual Information for Substructure-aware Graph Representation Learning. IJCAI 2020: 3415-3421 - [c52]Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu:
Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. KDD 2020: 853-861 - [c51]Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong:
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. KDD 2020: 2321-2329 - [c50]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. SIGIR 2020: 679-688 - [c49]Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang:
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. WWW 2020: 837-847 - [c48]Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu:
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW 2020: 2144-2154 - [i19]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. CoRR abs/2005.12021 (2020) - [i18]Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong:
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. CoRR abs/2007.07195 (2020) - [i17]Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu:
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. CoRR abs/2008.09912 (2020) - [i16]Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou:
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. CoRR abs/2008.10003 (2020) - [i15]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR abs/2008.12001 (2020) - [i14]Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu:
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. CoRR abs/2008.12618 (2020) - [i13]Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Hui Xiong, Jian Yang:
Learning Adaptive Embedding Considering Incremental Class. CoRR abs/2008.13351 (2020) - [i12]Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu:
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. CoRR abs/2009.09230 (2020) - [i11]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop. CoRR abs/2010.02506 (2020) - [i10]Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong:
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. CoRR abs/2012.08080 (2020)
2010 – 2019
- 2019
- [j15]Sijia Yang, Jiang Bian, Licheng Wang, Haojin Zhu, Yanjie Fu, Haoyi Xiong:
EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing. IEEE Access 7: 1495122-95131 (2019) - [j14]Xiaolin Li, Yuan Zhuang, Yanjie Fu, Xiangdong He:
A trust-aware random walk model for return propensity estimation and consumer anomaly scoring in online shopping. Sci. China Inf. Sci. 62(5): 52101:1-52101:17 (2019) - [j13]Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong:
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Trans. Knowl. Data Eng. 31(3): 535-548 (2019) - [c47]Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li:
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. AAAI 2019: 906-913 - [c46]Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong:
Joint Representation Learning for Multi-Modal Transportation Recommendation. AAAI 2019: 1036-1043 - [c45]Ziyue Qiao, Yi Du, Yanjie Fu, Pengfei Wang, Yuanchun Zhou:
Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding. IEEE BigData 2019: 910-919 - [c44]Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, Minghao Yin:
Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun. DASFAA (3) 2019: 378-382 - [c43]Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu:
Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks. SIGSPATIAL/GIS 2019: 319-328 - [c42]Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu:
Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity. ICDM 2019: 160-169 - [c41]Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li:
Adversarial Substructured Representation Learning for Mobile User Profiling. KDD 2019: 130-138 - [c40]Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li:
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. KDD 2019: 207-215 - [c39]Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong:
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network. KDD 2019: 305-313 - [c38]Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng:
Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning. KDD 2019: 1700-1708 - [c37]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. SIGIR 2019: 235-244 - [i9]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. CoRR abs/1904.10322 (2019) - 2018
- [j12]Pengfei Wang, Guannan Liu, Yanjie Fu, Yuanchun Zhou, Jianhui Li:
Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model. ACM Trans. Intell. Syst. Technol. 9(3): 29:1-29:26 (2018) - [j11]Yanjie Fu, Junming Liu, Xiaolin Li, Hui Xiong:
A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis. ACM Trans. Intell. Syst. Technol. 9(4): 40:1-40:24 (2018) - [j10]Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin:
Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. ACM Trans. Intell. Syst. Technol. 9(6): 63:1-63:28 (2018) - [j9]Bowen Du, Yifeng Cui, Yanjie Fu, Runxing Zhong, Hui Xiong:
SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-Aware Route Recommendations. ACM Trans. Intell. Syst. Technol. 9(6): 70:1-70:26 (2018) - [c36]Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das:
CSWA: Aggregation-Free Spatial-Temporal Community Sensing. AAAI 2018: 2087-2094 - [c35]Dakshak Keerthi Chandra, Weerdhawal Chowgule, Yanjie Fu, Dan Lin:
RIPA: Real-Time Image Privacy Alert System. CIC 2018: 136-145 - [c34]Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin:
Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. ICDM 2018: 647-656 - [c33]Kunpeng Liu, Nitish M. Uplavikar, Wei Jiang, Yanjie Fu:
Privacy-Preserving Multi-task Learning. ICDM 2018: 1128-1133 - [c32]Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo:
De-biasing Covariance-Regularized Discriminant Analysis. IJCAI 2018: 2889-2897 - [c31]Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong:
Representing Urban Functions through Zone Embedding with Human Mobility Patterns. IJCAI 2018: 3919-3925 - [c30]Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal:
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. KDD 2018: 2457-2466 - [c29]Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das:
Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. SDM 2018: 171-179 - [c28]Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal:
Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. SDM 2018: 351-359 - [i8]Jiawei Zhang, Limeng Cui, Yanjie Fu, Fisher B. Gouza:
Fake News Detection with Deep Diffusive Network Model. CoRR abs/1805.08751 (2018) - [i7]Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang:
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. CoRR abs/1811.02815 (2018) - 2017
- [j8]Chu Guan, Yanjie Fu, Xinjiang Lu, Enhong Chen, Xiaolin Li, Hui Xiong:
Efficient karaoke song recommendation via multiple kernel learning approximation. Neurocomputing 254: 22-32 (2017) - [j7]Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu:
Intelligent bus routing with heterogeneous human mobility patterns. Knowl. Inf. Syst. 50(2): 383-415 (2017) - [j6]Guannan Liu, Yanjie Fu, Guoqing Chen, Hui Xiong, Can Chen:
Modeling Buying Motives for Personalized Product Bundle Recommendation. ACM Trans. Knowl. Discov. Data 11(3): 28:1-28:26 (2017) - [j5]Yuanchun Zhou, Yang Zhang, Yong Ge, Zhenghua Xue, Yanjie Fu, Danhuai Guo, Jing Shao, Tiangang Zhu, Xuezhi Wang, Jianhui Li:
An efficient data processing framework for mining the massive trajectory of moving objects. Comput. Environ. Urban Syst. 61: 129-140 (2017) - [c27]Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen:
Social User Profiling: A Social-Aware Topic Modeling Perspective. DASFAA (2) 2017: 610-622 - [c26]Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. ICDM 2017: 605-614 - [c25]Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu:
Multi-party Sparse Discriminant Learning. ICDM 2017: 745-750 - [c24]Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo:
Incorporating Spatio-Temporal Smoothness for Air Quality Inference. ICDM 2017: 1177-1182 - [c23]Yanjie Fu, Guannan Liu, Mingfei Teng, Charu C. Aggarwal:
Unsupervised P2P Rental Recommendations via Integer Programming. KDD 2017: 165-173 - [c22]Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun, Hui Xiong:
Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams. KDD 2017: 335-344 - [c21]Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal:
Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. KDD 2017: 495-503 - [c20]Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong:
REMIX: Automated Exploration for Interactive Outlier Detection. KDD 2017: 827-835 - [i6]Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong:
REMIX: Automated Exploration for Interactive Outlier Detection. CoRR abs/1705.05986 (2017) - [i5]Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das:
CSWA: Aggregation-Free Spatial-Temporal Community Sensing. CoRR abs/1711.05712 (2017) - [i4]Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder. CoRR abs/1711.09409 (2017) - [i3]Jiawei Zhang, Limeng Cui, Yanjie Fu:
LATTE: Application Oriented Network Embedding. CoRR abs/1711.11466 (2017) - 2016
- [j4]Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Xiaolin Li, Guoqing Chen:
Fused latent models for assessing product return propensity in online commerce. Decis. Support Syst. 91: 77-88 (2016) - [j3]Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou:
Modeling of Geographic Dependencies for Real Estate Ranking. ACM Trans. Knowl. Discov. Data 11(1): 11:1-11:27 (2016) - [j2]Yanjie Fu, Hui Xiong, Xinjiang Lu, Jin Yang, Can Chen:
Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps. IEEE Trans. Mob. Comput. 15(11): 2851-2864 (2016) - [c19]Hongting Niu, Junming Liu, Yanjie Fu, Yanchi Liu, Bo Lang:
Exploiting Human Mobility Patterns for Gas Station Site Selection. DASFAA (1) 2016: 242-257 - [c18]Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong:
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. ICDM 2016: 549-558 - [c17]Yanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Jingci Ming, Chu Guan, Hui Xiong:
Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. ICDM 2016: 877-882 - [c16]Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu:
Days on Market: Measuring Liquidity in Real Estate Markets. KDD 2016: 393-402 - [c15]Chu Guan, Yanjie Fu, Xinjiang Lu, Hui Xiong, Enhong Chen, Yingling Liu:
Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model. SDM 2016: 135-143 - [c14]Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong:
The Impact of Community Safety on House Ranking. SDM 2016: 459-467 - [i2]Haoyi Xiong, Yanjie Fu, Wenqing Hu, Guanling Chen, Laura E. Barnes:
Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis. CoRR abs/1610.05446 (2016) - 2015
- [j1]Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao:
A General Geographical Probabilistic Factor Model for Point of Interest Recommendation. IEEE Trans. Knowl. Data Eng. 27(5): 1167-1179 (2015) - [c13]Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, Jingyuan Yang, Hui Xiong, Hao Zhong, Yanjie Fu:
Station Site Optimization in Bike Sharing Systems. ICDM 2015: 883-888 - [c12]Yanjie Fu, Hui Xiong:
Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection. ICDM Workshops 2015: 1506-1513 - [c11]Yanjie Fu, Hui Xiong:
A Discovery System for Finding High-Value Homes. ICDM Workshops 2015: 1612-1615 - [c10]Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu:
Real Estate Ranking via Mixed Land-use Latent Models. KDD 2015: 299-308 - [c9]Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge:
Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization. SDM 2015: 352-360 - 2014
- [c8]Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan:
Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. ICDM 2014: 120-129 - [c7]Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu:
Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. ICDM 2014: 360-369 - [c6]Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong:
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. ICDM 2014: 610-619 - [c5]Guannan Liu, Yanjie Fu, Tong Xu, Hui Xiong, Guoqing Chen:
Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns. ICDM 2014: 905-910 - [c4]Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou:
Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. KDD 2014: 1047-1056 - [c3]Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong:
User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. SDM 2014: 470-478 - [c2]Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li:
A New Framework for Traffic Anomaly Detection. SDM 2014: 875-883 - [i1]Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li:
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval. CoRR abs/1409.7165 (2014) - 2013
- [c1]Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong:
Learning geographical preferences for point-of-interest recommendation. KDD 2013: 1043-1051
Coauthor Index
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