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2020 – today
- 2024
[j52]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)- [j51]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) - [j50]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) - [j49]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) - [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 - [i71]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) - [i70]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) - [i69]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) - [i68]Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu:
Feature Selection as Deep Sequential Generative Learning. CoRR abs/2403.03838 (2024) - [i67]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) - [i66]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) - [i65]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) - [i64]Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Yanjie Fu:
Evolutionary Large Language Model for Automated Feature Transformation. CoRR abs/2405.16203 (2024) - [i63]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) - [i62]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) - [i61]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) - [i60]Xuanming Hu, Dongjie Wang, Wangyang Ying, Yanjie Fu:
Reinforcement Feature Transformation for Polymer Property Performance Prediction. CoRR abs/2409.15616 (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]