Sub-domain intelligent modeling based on neural networks. - Xinjiang Lu; Han-Xiong Li (IJCNN, 2008)

A Cohesive Zone Model in Adhesive Bonding Joint Based on MSC.marc. - Zhenqi Sun; Minghui Huang; Xinjiang Lu (ICDMA, 2011)

System-Decomposition-Based Multilevel Control for Hydraulic Press Machine. - Xinjiang Lu; Minghui Huang (IEEE Trans. Ind. Electron., 2012)

Tree-Based Mining for Discovering Patterns of Reposting Behavior in Microblog. - Huilei He; Zhiwen Yu 001; Bin Guo 001; Xinjiang Lu; Jilei Tian (ADMA (1), 2013)

Understanding Human Dynamics of Check-in Behavior in LBSNs. - Yun Feng; Zhiwen Yu 001; Xinjiang Lu; Jilei Tian (GreenCom/iThings/CPScom, 2013)

Modeling and Predicting the Re-post Behavior in Sina Weibo. - Xinjiang Lu; Zhiwen Yu 001; Bin Guo 001; Xingshe Zhou 001 (GreenCom/iThings/CPScom, 2013)

Predicting the content dissemination trends by repost behavior modeling in mobile social networks. - Xinjiang Lu; Zhiwen Yu 001; Bin Guo 001; Xingshe Zhou 001 (J. Netw. Comput. Appl., 2014)

Discovery of College Students in Financial Hardship. - Chu Guan; Xinjiang Lu; Xiaolin Li; Enhong Chen; Wenjun Zhou 001; Hui Xiong 001 (ICDM, 2015)

基于移动群智数据的城市热点事件感知方法 (Approach for Urban Popular Event Detection Using Mobile Crowdsourced Data). - Jiafan Zhang; Bin Guo 001; Xinjiang Lu; Zhiwen Yu 001; Xingshe Zhou 001 (计算机科学, 2015)

A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process With Multiple Localized Solutions. - Xinjiang Lu; Bi Fan; Minghui Huang (IEEE Trans. Ind. Informatics, 2015)

Online Probabilistic Extreme Learning Machine for Distribution Modeling of Complex Batch Forging Processes. - Xinjiang Lu; Chang Liu; Minghui Huang (IEEE Trans. Ind. Informatics, 2015)

Discovering Information Propagation Patterns in Microblogging Services. - Zhiwen Yu 001; Zhu Wang 001; Huilei He; Jilei Tian; Xinjiang Lu; Bin Guo 001 (ACM Trans. Knowl. Discov. Data, 2015)

Characterizing the life cycle of point of interests using human mobility patterns. - Xinjiang Lu; Zhiwen Yu 001; Leilei Sun; Chuanren Liu; Hui Xiong 001; Chu Guan (UbiComp, 2016)

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 001 (ICDM, 2016)

To be or Not to be Friends: Exploiting Social Ties for Venture Investments. - Hao Zhong 002; Chuanren Liu; Xinjiang Lu; Hui Xiong 001 (ICDM, 2016)

Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model. - Chu Guan; Yanjie Fu; Xinjiang Lu; Hui Xiong 001; Enhong Chen; Yingling Liu (SDM, 2016)

Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system. - Xinjiang Lu; Chuang Zhou 001; Minghui Huang; Wenbing Lv (Neurocomputing, 2016)

Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling. - Chuang Zhou 001; Xinjiang Lu; Minghui Huang (Neurocomputing, 2016)

Efficient Compression Algorithm with Limited Resource for Continuous Surveillance. - Ling Yin; Chuanren Liu; Xinjiang Lu; JiaFeng Chen; Caixing Liu (KSII Trans. Internet Inf. Syst., 2016)

A Novel Spatiotemporal LS-SVM Method for Complex Distributed Parameter Systems With Applications to Curing Thermal Process. - Xinjiang Lu; Wei Zou; Minghui Huang (IEEE Trans. Ind. Informatics, 2016)

Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps. - Yanjie Fu; Hui Xiong 001; Xinjiang Lu; Jin Yang; Can Chen (IEEE Trans. Mob. Comput., 2016)

Probabilistic Inference-Based Least Squares Support Vector Machine for Modeling Under Noisy Environment. - Bi Fan; Xinjiang Lu; Han-Xiong Li (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Forecasting the rise and fall of volatile point-of-interests. - Xinjiang Lu; Zhiwen Yu 001; Chuanren Liu; Yanchi Liu; Hui Xiong 001; Bin Guo 001 (IEEE BigData, 2017)

Discovery of booming and decaying point-of-interest with human mobility data. - Xinjiang Lu; Zhiwen Yu 001; He Du; Fei Yi; Bin Guo 001 (UbiComp/ISWC Adjunct, 2017)

Point-of-Interest Demand Modeling with Human Mobility Patterns. - Yanchi Liu; Chuanren Liu; Xinjiang Lu; Mingfei Teng; Hengshu Zhu; Hui Xiong 001 (KDD, 2017)

Efficient karaoke song recommendation via multiple kernel learning approximation. - Chu Guan; Yanjie Fu; Xinjiang Lu; Enhong Chen; Xiaolin Li; Hui Xiong 001 (Neurocomputing, 2017)

用于鲁棒性建模的概率权重极限学习机 (Probabilistic Weighted Extreme Learning Machine for Robust Modeling). - Chuang Zhou 001; Bin Fan; Lei Zhu; Xinjiang Lu (计算机科学, 2017)

Robust Spatiotemporal LS-SVM Modeling for Nonlinear Distributed Parameter System With Disturbance. - Xinjiang Lu; Wei Zou; Minghui Huang (IEEE Trans. Ind. Electron., 2017)

Probabilistic Weighted Support Vector Machine for Robust Modeling With Application to Hydraulic Actuator. - Xinjiang Lu; Wenbo Liu; Chuang Zhou 001; Minghui Huang (IEEE Trans. Ind. Informatics, 2017)

Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems. - Xinjiang Lu; Feng Yin; Chang Liu; Minghui Huang (IEEE Trans. Ind. Informatics, 2017)

Inferring Housing Demand based on Express Delivery Data. - Qingyang Li 002; Zhiwen Yu 001; Bin Guo 001; Xinjiang Lu (IEEE BigData, 2018)

CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data. - Yi Ouyang 003; Bin Guo 001; Xinjiang Lu; Qi Han 001; Tong Guo; Zhiwen Yu 001 (GPC, 2018)

Construction of Confidence Intervals for Distributed Parameter Processes Under Noise. - Xinjiang Lu; Xiangbo Cui; Yi Zhang 068; Feng Yin (IEEE Access, 2018)

Robust Clustered Support Vector Machine With Applications to Modeling of Practical Processes. - Xinjiang Lu; Te-Te Hu; Yi Zhang 068; Bin Fan (IEEE Access, 2018)

Integration of weighted LS-SVM and manifold learning for fuzzy modeling. - GaoFeng Qin; Xinjiang Lu (Neurocomputing, 2018)

Probabilistic Regularized Extreme Learning Machine for Robust Modeling of Noise Data. - Xinjiang Lu; Li Ming; Wenbo Liu; Han-Xiong Li (IEEE Trans. Cybern., 2018)

Robust Least-Squares Support Vector Machine With Minimization of Mean and Variance of Modeling Error. - Xinjiang Lu; Wenbo Liu; Chuang Zhou 001; Minghui Huang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. - Hao Liu 026; Yongxin Tong; Panpan Zhang; Xinjiang Lu; Jianguo Duan; Hui Xiong 001 (KDD, 2019)

A Hybrid Offline/Online Modeling Based Tracking Control for Complex Hydraulic Driving Processes. - Xinjiang Lu; Yunxu Bai; Bin Fan; Hao Sui (IEEE Access, 2019)

A Modeling Approach With Spatial Basis Functions Learning and Temporal Dynamic Online Modeling for Time-Varying Distributed Parameter Processes. - Xinjiang Lu; Jie Xu; Chao-Jun Zhou (IEEE Access, 2019)

A Novel Spatiotemporal Fuzzy Method for Modeling of Complex Distributed Parameter Processes. - Xinjiang Lu; Te-Te Hu; Feng Yin (IEEE Trans. Ind. Electron., 2019)

Housing Demand Estimation Based on Express Delivery Data. - Qingyang Li 002; Zhiwen Yu 001; Bin Guo 001; Huang Xu 001; Xinjiang Lu (ACM Trans. Knowl. Discov. Data, 2019)

CompetitiveBike: Competitive Analysis and Popularity Prediction of Bike-Sharing Apps Using Multi-Source Data. - Yi Ouyang 003; Bin Guo 001; Xinjiang Lu; Qi Han 001; Tong Guo; Zhiwen Yu 001 (IEEE Trans. Mob. Comput., 2019)

Exploring Multi-level Mutual Information for Drug-target Interaction Prediction. - Jiatao Chen; Liang Zhang 031; Ke Cheng 003; Bo Jin 001; Xinjiang Lu; Chao Che; Yiwei Liu (BIBM, 2020)

Fast Sparse Connectivity Network Adaption via Meta-Learning. - Bo Jin 001; Ke Cheng 003; Yue Qu; Liang Zhang 031; Keli Xiao; Xinjiang Lu; Xiaopeng Wei (ICDM, 2020)

Why We Go Where We Go: Profiling User Decisions on Choosing POIs. - Renjun Hu; Xinjiang Lu; Chuanren Liu; Yanyan Li; Hao Liu 026; Jingjing Gu; Shuai Ma 001; Hui Xiong 001 (IJCAI, 2020)

Competitive Analysis for Points of Interest. - Shuangli Li; Jingbo Zhou; Tong Xu 001; Hao Liu 026; Xinjiang Lu; Hui Xiong 001 (KDD, 2020)

An Online Adaptive Control Strategy for Trajectory Tracking of Quadrotors Based on Fuzzy Approximation and Robust Sliding Mode Algorithm. - Bowen Xu; Xinjiang Lu (IEEE Access, 2020)

Multi-Modal Transportation Recommendation with Unified Route Representation Learning. - Hao Liu 026; Jindong Han; Yanjie Fu; Jingbo Zhou; Xinjiang Lu; Hui Xiong 001 (Proc. VLDB Endow., 2020)

A New Rule Reduction Method for Fuzzy Modeling. - Xinjiang Lu; Yunxu Bai (IEEE Trans. Fuzzy Syst., 2020)

Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach. - Xinjiang Lu; Zhiwen Yu 001; Chuanren Liu; Yanchi Liu; Hui Xiong 001; Bin Guo 001 (ACM Trans. Knowl. Discov. Data, 2020)

Collaborative Learning-Based Clustered Support Vector Machine for Modeling of Nonlinear Processes Subject to Noise. - Xinjiang Lu; Li Ming; Te-Te Hu; Bin Fan (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Community-Aware Multi-Task Transportation Demand Prediction. - Hao Liu 026; Qiyu Wu 001; Fuzhen Zhuang; Xinjiang Lu; Dejing Dou; Hui Xiong 001 (AAAI, 2021)

Out-of-Town Recommendation with Travel Intention Modeling. - Haoran Xin 001; Xinjiang Lu; Tong Xu 001; Hao Liu 026; Jingjing Gu; Dejing Dou; Hui Xiong 001 (AAAI, 2021)

Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. - Qiang Zhou 007; Jingjing Gu; Xinjiang Lu; Fuzhen Zhuang; Yanchao Zhao; Qiuhong Wang; Xiao Zhang 015 (AAAI, 2021)

A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning. - Xu Zhang 026; Liang Zhang 031; Bo Jin 001; Xinjiang Lu (ICDM, 2021)

Learning region sparse constraint correlation filter for tracking. - Zheng Peng 005; Xinjiang Lu (Signal Process. Image Commun., 2021)

A Spatiotemporal Neural Network Modeling Method for Nonlinear Distributed Parameter Systems. - Xinjiang Lu; Xiangbo Cui (IEEE Trans. Ind. Informatics, 2021)

Development of Spatiotemporal Recurrent Neural Network for Modeling of Spatiotemporal Processes. - Xinjiang Lu; Du Xu; Wenbo Liu (IEEE Trans. Ind. Informatics, 2021)

Leveraging pointwise prediction with learning to rank for top-N recommendation. - Nengjun Zhu; Jian Cao 001; Xinjiang Lu; Qi Gu (World Wide Web, 2021)

User Multi-behavior Enhanced POI Recommendation with Efficient and Informative Negative Sampling. - Hanzhe Li 001; Jingjing Gu; Haochao Ying; Xinjiang Lu; Jingyuan Yang 001 (APWeb/WAIM (3), 2022)

Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. - Miao Chen; Xinjiang Lu; Tong Xu 001; Yanyan Li; Jingbo Zhou; Dejing Dou; Hui Xiong 001 (EMNLP, 2022)

Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction. - Yan Chen; Jingjing Gu; Fuzhen Zhuang; Xinjiang Lu; Ming Sun (ICDM, 2022)

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. - Yan Li; Xinjiang Lu; Yaqing Wang 002; Dejing Dou (NeurIPS, 2022)

CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. - Haoran Xin 001; Xinjiang Lu; Nengjun Zhu; Tong Xu 001; Dejing Dou; Hui Xiong 001 (SIGIR, 2022)

SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022. - Jingbo Zhou; Xinjiang Lu; Yixiong Xiao; Jiantao Su; Junfu Lyu; Yanjun Ma; Dejing Dou (CoRR, 2022)

Robust Least-Squares Support Vector Machine Using Probabilistic Inference. - Xinjiang Lu; Yunxu Bai (IEEE Trans. Cybern., 2022)

Exploring the Risky Travel Area and Behavior of Car-hailing Service. - Hongting Niu; Hengshu Zhu; Ying Sun 006; Xinjiang Lu; Jing Sun; Zhiyuan Zhao; Hui Xiong 001; Bo Lang (ACM Trans. Intell. Syst. Technol., 2022)

Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. - Nengjun Zhu; Jian Cao 001; Xinjiang Lu; Chuanren Liu; Hao Liu 026; Yanyan Li; Xiangfeng Luo; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2022)

Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation. - Hao Liu 026; Yongxin Tong; Jindong Han; Panpan Zhang; Xinjiang Lu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

$ mathsf{NCF}$NCF: A Neural Context Fusion Approach to Raw Mobility Annotation. - Renjun Hu; Jingbo Zhou; Xinjiang Lu; Hengshu Zhu; Shuai Ma 001; Hui Xiong 001 (IEEE Trans. Mob. Comput., 2022)

Learning a Hierarchical Intent Model for Next-Item Recommendation. - Nengjun Zhu; Jian Cao 001; Xinjiang Lu; Hui Xiong 001 (ACM Trans. Inf. Syst., 2022)

A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation. - Xi Chen 073; Xinjiang Lu; Haoran Xin 001; Wenjun Peng; Haoyang Duan; Feihu Jiang; Jingbo Zhou; Hui Xiong 001 (EMNLP (Findings), 2023)

Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. - Yan Li; Xinjiang Lu; Haoyi Xiong; Jian Tang; Jiantao Su; Bo Jin 001; Dejing Dou (ICDE, 2023)

Prediction in Long-term Evolution: Exploiting the Interaction Between Urban Crowd Flow Variation and POI Transition Patterns. - Zhe Zheng; Jingjing Gu; Qiang Zhou; Xinjiang Lu (ICDM, 2023)

MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs. - Nengjun Zhu; Jieyun Huang; Jian Cao 001; Xinjiang Lu; Hao Liu 026; Hui Xiong 001 (ICDM, 2023)

Design and Experiment of a continuously variable-stiffness wrist for Reliable robot assembly under Misalignment. - Du Xu; Xinjiang Lu (Int. J. Robotics Autom., 2023)

Predicting Drug-Target Interaction Via Self-Supervised Learning. - Jiatao Chen; Liang Zhang 031; Ke Cheng 003; Bo Jin 001; Xinjiang Lu; Chao Che (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Inchworm-Like Soft Robot with Multimodal Locomotion Using an Acrylic Stick-Constrained Dielectric Elastomer Actuator. - Tete Hu; Xinjiang Lu; Jin Liu (Adv. Intell. Syst., 2023)

Design and Control of a Hand-Launched Fixed-Wing Unmanned Aerial Vehicle. - Xinjiang Lu; Zenghui Li; Jie Xu (IEEE Trans. Ind. Informatics, 2023)

Enhancing Next-Item Recommendation Through Adaptive User Group Modeling. - Nengjun Zhu; Lingdan Sun; Jian Cao 001; Xinjiang Lu; Runtong Li (J. Soc. Comput., 2023)

Multiple kernel learning-based rule reduction method for fuzzy modeling. - Yunxu Bai; Xinjiang Lu (Fuzzy Sets Syst., 2023)

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder. - Qiang Zhou; Xinjiang Lu; Jingjing Gu; Zhe Zheng; Bo Jin 001; Jingbo Zhou (AAAI, 2024)

Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation. - Nengjun Zhu; Lingdan Sun; Xiangfeng Luo; Jian Cao 001; Qi Zhang 020; Xinjiang Lu (ICDM, 2024)

An online low-dimension fuzzy modeling method for time-varying processes. - Yunxu Bai; Xinjiang Lu (Inf. Sci., 2024)

A Probabilistic Fuzzy Classifier for Motion Intent Recognition. - Yunxu Bai; Xinjiang Lu; Bowen Xu (IEEE Trans. Fuzzy Syst., 2024)

Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation. - Hanzhe Li 001; Jingjing Gu; Xinjiang Lu; Dazhong Shen; Yuting Liu 001; YaNan Deng; Guoliang Shi; Hui Xiong 001 (ACM Trans. Inf. Syst., 2024)

Explicit model based fuzzy control method for lower limb exoskeleton robot. - Xinjiang Lu; Xiran Chen; Yunxu Bai; Ruiting Liu (Expert Syst. Appl., 2025)

TimeFound: A Foundation Model for Time Series Forecasting. - Congxi Xiao; Jingbo Zhou; Yixiong Xiao; Xinjiang Lu; Lei Zhang 060; Hui Xiong 001 (CoRR, 2025)

Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective. - Yu Fan; Xinjiang Lu; Hao Liu 026; Pengfei Wang 009; Liang Liu 001; Huadong Ma; Jingbo Zhou (ACM Trans. Intell. Syst. Technol., 2025)

A Multi-Kernel Low-Dimension Fuzzy Modeling Method for Personalized Gait Patterns. - Yunxu Bai; Xinjiang Lu (IEEE Robotics Autom. Lett., 2025)