| 2026 | AAAI | Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage. | Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, Yanjie Fu |
| 2026 | AAAI | Efficient Post-Training Refinement of Latent Reasoning in Large Language Models. | Xinyuan Wang, Dongjie Wang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Sixun Dong, Kunpeng Liu, Yanjie Fu |
| 2026 | AAAI | DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion. | Ruisheng Zheng, Mingyi Li, Xiao Zhang, Hongjian Shi, Yanjie Fu, Yuan Yuan, Dongxiao Yu |
| 2026 | ACL | Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations. | Nanxu Gong, Zixin Chen, Haotian Li, Zishu Zhao, Jianxun Lian, Huamin Qu, Yanjie Fu, Xing Xie |
| 2026 | EACL | Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. | Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen |
| 2026 | EACL | Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer. | Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Xinyue Ye, Dongjie Wang, Yanjie Fu, Kunpeng Liu |
| 2026 | WWW | Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation. | Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen |
| 2025 | AAAI | Evolutionary Large Language Model for Automated Feature Transformation. | Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu |
| 2025 | CIKM | Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization. | Yanping Wu, Yanyong Huang, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang |
| 2025 | EMNLP | Weaver: Interweaving SQL and LLM for Table Reasoning. | Rohit Khoja, Devanshu Gupta, Yanjie Fu, Dan Roth, Vivek Gupta |
| 2025 | EMNLP | ISACL: Internal State Analyzer for Copyrighted Training Data Leakage. | Guangwei Zhang, Qisheng Su, Jiateng Liu, Cheng Qian, Yanzhou Pan, Yanjie Fu, Denghui Zhang |
| 2025 | ICDE | Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. | Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao |
| 2025 | ICDM | DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming. | Arun Vignesh Malarkkan, Haoyue Bai, Anjali Kaushik, Yanjie Fu |
| 2025 | ICMLA | Diffusion Policies with Offline and Inverse Reinforcement Learning for Promoting Physical Activity in Older Adults Using Wearable Sensors. | Chang Liu, Ladda Thiamwong, Yanjie Fu, Rui Xie |
| 2025 | IJCAI | LEKA: LLM-Enhanced Knowledge Augmentation. | Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu |
| 2025 | IJCAI | Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming. | Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu |
| 2025 | IOLTS | NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks. | Rian Adam Rajagede, Muhammad Husni Santriaji, Muhammad Arya Fikriansyah, Hilal Hudan Nuha, Yanjie Fu, Yan Solihin |
| 2025 | KDD | IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting. | Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu |
| 2025 | KDD | Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning. | Ehtesamul Azim, Dongjie Wang, Tae Hyun Hwang, Yanjie Fu, Wei Zhang |
| 2025 | KDD | AI4DE: The 1st International Workshop on AI for Data Editing. | Yanjie Fu, Kunpeng Liu, Dongjie Wang, Xiangliang Zhang, Khalid K. Osman, Charu Aggarwal, Suzanne M. Shontz, Huan Liu, Jian Pei |
| 2025 | KDD | Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search. | Rui Liu, Rui Xie, Zijun Yao, Yanjie Fu, Dongjie Wang |
| 2025 | NAACL | MixLLM: Dynamic Routing in Mixed Large Language Models. | Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen |
| 2025 | WSC | Supply Chain Optimization via Generative Simulation and Iterative Decision Policies. | Haoyue Bai, Haoyu Wang, Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haifeng Chen, Yanjie Fu |
| 2024 | CIKM | DCAI: The 4th International Workshop on Data-Centric AI. | Yanjie Fu, Kunpeng Liu, Dongjie Wang |
| 2024 | CIKM | Tabular Data-centric AI: Challenges, Techniques and Future Perspectives. | Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu |
| 2024 | CIKM | Reinforcement Feature Transformation for Polymer Property Performance Prediction. | Xuanming Hu, Dongjie Wang, Wangyang Ying, Yanjie Fu |
| 2024 | CIKM | Multi-view Causal Graph Fusion Based Anomaly Detection in Cyber-Physical Infrastructures. | Arun Vignesh Malarkkan, Dongjie Wang, Yanjie Fu |
| 2024 | CIKM | Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration. | Wangyang Ying, Dongjie Wang, Xuanming Hu, Ji Qiu, Jin Park, Yanjie Fu |
| 2024 | IJCAI | Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. | Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu |
| 2024 | IJCAI | Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. | Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang |
| 2024 | KDD | Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. | Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong |
| 2024 | KDD | Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. | Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu |
| 2024 | SDM | Feature Interaction Aware Automated Data Representation Transformation. | Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu |
| 2024 | SDM | Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. | Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu |
| 2023 | AAAI | Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. | Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | AAAI | Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling. | Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu |
| 2023 | AAAI | Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. | Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu |
| 2023 | ICASSP | Stream Attention Based U-Net for L3DAS23 Challenge. | Honglong Wang, Yanjie Fu, Junjie Li, Meng Ge, Longbiao Wang, Xinyuan Qian |
| 2023 | ICDE | PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. | Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu |
| 2023 | ICDM | Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. | Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | ICDM | Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation. | Camilo Gomez, Pengyang Wang, Yanjie Fu |
| 2023 | ICDM | Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. | Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang |
| 2023 | ICDM | Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing. | Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu |
| 2023 | IJCAI | Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. | Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | Interspeech | Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation. | Yanjie Fu, Meng Ge, Honglong Wang, Nan Li, Haoran Yin, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang |
| 2023 | Interspeech | SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation. | Honglong Wang, Chengyun Deng, Yanjie Fu, Meng Ge, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Fei Wang |
| 2023 | KDD | Incremental Causal Graph Learning for Online Root Cause Analysis. | Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen |
| 2023 | KDD | Interdependent Causal Networks for Root Cause Localization. | Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen |
| 2023 | PAKDD | Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems. | Ehtesamul Azim, Dongjie Wang, Yanjie Fu |
| 2023 | SDM | Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. | Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu |
| 2023 | SDM | Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. | Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu |
| 2023 | SDM | Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate. | Khandakar Tanvir Ahmed, Sudipto Baul, Yanjie Fu, Wei Zhang |
| 2022 | ICDM | GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation. | Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv |
| 2022 | ICDM | Kernel-based Substructure Exploration for Next POI Recommendation. | Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang |
| 2022 | ICDM | Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. | Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu |
| 2022 | ICLR | DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. | Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu |
| 2022 | IJCAI | Feature and Instance Joint Selection: A Reinforcement Learning Perspective. | Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu |
| 2022 | Interspeech | Iterative Sound Source Localization for Unknown Number of Sources. | Yanjie Fu, Meng Ge, Haoran Yin, Xinyuan Qian, Longbiao Wang, Gaoyan Zhang, Jianwu Dang |
| 2022 | Interspeech | MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources. | Haoran Yin, Meng Ge, Yanjie Fu, Gaoyan Zhang, Longbiao Wang, Lei Zhang, Lin Qiu, Jianwu Dang |
| 2022 | KDD | Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction. | Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong |
| 2022 | KDD | Semi-supervised Drifted Stream Learning with Short Lookback. | Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu |
| 2022 | KDD | Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. | Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin |
| 2022 | KDD | Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting. | Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong |
| 2022 | WWW | Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. | Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie |
| 2022 | SDM | Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. | Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu |
| 2021 | AAAI | Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. | Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu |
| 2021 | AAAI | Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. | Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong |
| 2021 | ICDE | Description Generation for Points of Interest. | Meng Zhou, Jingbo Zhou, Yanjie Fu, Zhaochun Ren, Xiaoli Wang, Hui Xiong |
| 2021 | ICDM | Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. | Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu |
| 2021 | ICDM | Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. | Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu |
| 2021 | ICDM | Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. | Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu |
| 2021 | ICDM | Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. | Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou |
| 2021 | KDD | Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting. | Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong |
| 2021 | SDM | Multi-Armed Bandit Based Feature Selection. | Kunpeng Liu, Haibo Huang, Wei Zhang, Ahmad Hariri, Yanjie Fu, Kien A. Hua |
| 2021 | SDM | EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. | Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu |
| 2021 | SDM | AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. | Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu |
| 2020 | CIKM | Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. | Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang |
| 2020 | CIKM | Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding. | Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu |
| 2020 | ICDM | AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. | Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu |
| 2020 | ICDM | Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. | Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou |
| 2020 | ICDM | Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. | Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu |
| 2020 | ICDM | Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. | Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu |
| 2020 | IJCAI | Exploiting Mutual Information for Substructure-aware Graph Representation Learning. | Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua |
| 2020 | KDD | Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. | Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong |
| 2020 | KDD | Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. | Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu |
| 2020 | WWW | Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. | Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang |
| 2020 | WWW | A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. | Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu |
| 2020 | SIGIR | Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. | Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang |
| 2019 | AAAI | Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. | Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li |
| 2019 | AAAI | Joint Representation Learning for Multi-Modal Transportation Recommendation. | Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong |
| 2019 | DASFAA | Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun. | Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, Minghao Yin |
| 2019 | ICDM | Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity. | Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu |
| 2019 | KDD | Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. | Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li |
| 2019 | KDD | Adversarial Substructured Representation Learning for Mobile User Profiling. | Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li |
| 2019 | KDD | Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network. | Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong |
| 2019 | KDD | Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning. | Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng |
| 2019 | SIGIR | A Neural Influence Diffusion Model for Social Recommendation. | Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang |
| 2018 | AAAI | CSWA: Aggregation-Free Spatial-Temporal Community Sensing. | Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das |
| 2018 | ICDM | Privacy-Preserving Multi-task Learning. | Kunpeng Liu, Nitish M. Uplavikar, Wei Jiang, Yanjie Fu |
| 2018 | ICDM | Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. | Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin |
| 2018 | IJCAI | De-biasing Covariance-Regularized Discriminant Analysis. | Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo |
| 2018 | IJCAI | Representing Urban Functions through Zone Embedding with Human Mobility Patterns. | Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong |
| 2018 | KDD | You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. | Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal |
| 2018 | SDM | Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. | Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das |
| 2018 | SDM | Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. | Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal |
| 2017 | DASFAA | Social User Profiling: A Social-Aware Topic Modeling Perspective. | Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen |
| 2017 | ICDM | Multi-party Sparse Discriminant Learning. | Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu |
| 2017 | ICDM | BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. | Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu |
| 2017 | ICDM | Incorporating Spatio-Temporal Smoothness for Air Quality Inference. | Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo |
| 2017 | KDD | REMIX: Automated Exploration for Interactive Outlier Detection. | Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong |
| 2017 | KDD | Unsupervised P2P Rental Recommendations via Integer Programming. | Yanjie Fu, Guannan Liu, Mingfei Teng, Charu C. Aggarwal |
| 2017 | KDD | Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams. | Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun, Hui Xiong |
| 2017 | KDD | Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. | Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal |
| 2016 | DASFAA | Exploiting Human Mobility Patterns for Gas Station Site Selection. | Hongting Niu, Junming Liu, Yanjie Fu, Yanchi Liu, Bo Lang |
| 2016 | ICDM | Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. | Yanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Jingci Ming, Chu Guan, Hui Xiong |
| 2016 | ICDM | POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. | Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong |
| 2016 | KDD | Days on Market: Measuring Liquidity in Real Estate Markets. | Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu |
| 2016 | SDM | Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model. | Chu Guan, Yanjie Fu, Xinjiang Lu, Hui Xiong, Enhong Chen, Yingling Liu |
| 2016 | SDM | The Impact of Community Safety on House Ranking. | Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong |
| 2015 | ICDM | Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection. | Yanjie Fu, Hui Xiong |
| 2015 | ICDM | A Discovery System for Finding High-Value Homes. | Yanjie Fu, Hui Xiong |
| 2015 | ICDM | Station Site Optimization in Bike Sharing Systems. | Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, Jingyuan Yang, Hui Xiong, Hao Zhong, Yanjie Fu |
| 2015 | KDD | Real Estate Ranking via Mixed Land-use Latent Models. | Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu |
| 2015 | SDM | Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization. | Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge |
| 2014 | ICDM | Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. | Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan |
| 2014 | ICDM | Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns. | Guannan Liu, Yanjie Fu, Tong Xu, Hui Xiong, Guoqing Chen |
| 2014 | ICDM | Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. | Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu |
| 2014 | ICDM | Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. | Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong |
| 2014 | KDD | Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. | Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou |
| 2014 | SDM | User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. | Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong |
| 2014 | SDM | A New Framework for Traffic Anomaly Detection. | Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li |
| 2013 | KDD | Learning geographical preferences for point-of-interest recommendation. | Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong |