Chuanren Liu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 85

Top Topics

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Tensor Factorization

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. IEEE Trans. Big Data 10 (1) (2024)
Hao Zhong, Yuyue Chen, Chuanren Liu, Hande Y. Benson
Decision aggregation with reliability propagation. Decis. Support Syst. 178 (2024)
Le Yu, Zihang Liu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv
Continuous-Time User Preference Modelling for Temporal Sets Prediction. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Shuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu
MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning. KDD (2024)
Hao Zhong, Chuanren Liu
Firm profiling and competition assessment: A design science approach. Inf. Manag. 61 (6) (2024)
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Unified Uncertainty Estimation for Cognitive Diagnosis Models. WWW (2024)
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
Unified Uncertainty Estimation for Cognitive Diagnosis Models. CoRR (2024)
Hao Zhong, Chuanren Liu
Career Path Clustering via Sequential Job Embedding and Mixture Markov Models. PACIS (2023)
Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms. CoRR (2023)
Hao Zhong, Yuyue Chen, Chuanren Liu, Hande Y. Benson
Decision Aggregation with Reliability Propagation. PACIS (2023)
Wuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng
End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising. KDD (2023)
Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong
Community-based Dynamic Graph Learning for Popularity Prediction. KDD (2023)
Yu Song, Yuyan Wang, Xin Ye, Russell Zaretzki, Chuanren Liu
Loan default prediction using a credit rating-specific and multi-objective ensemble learning scheme. Inf. Sci. 629 (2023)
Chuanren Liu, Xin Ye
Editorial review: Data-intensive research in E-commerce. Electron. Commer. Res. Appl. 59 (2023)
Chuanren Liu, Ehsan Fakharizadi, Tong Xu, Philip S. Yu
Recent advances in domain-driven data mining. Int. J. Data Sci. Anal. 15 (1) (2023)
Hao Zhong, Chuanren Liu
Firm Profiling and Competition Assessment: A Heterogeneous Occupation Network-based Method. HICSS (2023)
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
Heterogeneous Graph Representation Learning With Relation Awareness. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Yue Qu, Chuanren Liu, Kai Zhang, Keli Xiao, Bo Jin, Hui Xiong
Diagnostic Sparse Connectivity Networks With Regularization Template. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong
Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Yang Li, Jiangen He, Chuanren Liu, Yanni Ping
Peer Influence in the Adoption of Video Games. Int. J. E Bus. Res. 18 (1) (2022)
Xiao Cheng, Chuanren Liu, Liang Dai, Peng Zhang, Zhen Fang, Zhonglin Zu
An Adaptive Unified Allocation Framework for Guaranteed Display Advertising. WSDM (2022)
Hao Zhong, Chuanren Liu
Firm Profiling and Competition Assessment via Heterogeneous Occupation Network. ICIS (2022)
Yang An, Liang Zhang, Haoyu Yang, Leilei Sun, Bo Jin, Chuanren Liu, Ruiyun Yu, Xiaopeng Wei
Prediction of Treatment Medicines With Dual Adaptive Sequential Networks. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Hao Zhong, Chuanren Liu
Career Path Clustering via Sequential Job Embedding and Mixture Markov Models. ICIS (2022)
Yilin Hou, Guangming Zhao, Chuanren Liu, Zhonglin Zu, Xiaoqiang Zhu
Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach. ICDM (2021)
Mingfei Teng, Hengshu Zhu, Chuanren Liu, Hui Xiong
Exploiting Network Fusion for Organizational Turnover Prediction. ACM Trans. Manag. Inf. Syst. 12 (2) (2021)
Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie
Automatic Treatment Regimen Design. IEEE Trans. Knowl. Data Eng. 33 (11) (2021)
Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
Representation Learning on Knowledge Graphs for Node Importance Estimation. KDD (2021)
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
GraphMI: Extracting Private Graph Data from Graph Neural Networks. IJCAI (2021)
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
GraphMI: Extracting Private Graph Data from Graph Neural Networks. CoRR (2021)
Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu
Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. ICDM (2021)
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
Heterogeneous Graph Representation Learning with Relation Awareness. CoRR (2021)
Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach. AAAI (2020)
Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen
Product Supply Optimization for Crowdfunding Campaigns. IEEE Trans. Big Data 6 (4) (2020)
Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang
Structure-based Knowledge Tracing: An Influence Propagation View. ICDM (2020)
Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong
Why We Go Where We Go: Profiling User Decisions on Choosing POIs. IJCAI (2020)
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning. CoRR (2020)
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv
Predicting Temporal Sets with Deep Neural Networks. CoRR (2020)
Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv
Dual Sequential Network for Temporal Sets Prediction. SIGIR (2020)
Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo
Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach. ACM Trans. Knowl. Discov. Data 14 (1) (2020)
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv
Predicting Temporal Sets with Deep Neural Networks. KDD (2020)
Chuanren Liu, Wenxiang Zhu
Precision Coupon Targeting with Dynamic Customer Triage. DSAA (2020)
Peng Zhang, Chuanren Liu, Kefeng Ning, Wenxiang Zhu, Yu Zhang
Prediction and Profiling of Audience Competition for Online Television Series. KDD (2020)
Leilei Sun, Bo Jin, Haoyu Yang, Jianing Tong, Chuanren Liu, Hui Xiong
Unsupervised EEG feature extraction based on echo state network. Inf. Sci. 475 (2019)
Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong
Detecting Pickpocket Suspects from Large-Scale Public Transit Records. IEEE Trans. Knowl. Data Eng. 31 (3) (2019)
Zhen Fang, Yang Li, Chuanren Liu, Wenxiang Zhu, Yu Zheng, Wenjun Zhou
Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time Pacing. ICDM (2019)
Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong
Exploiting the Contagious Effect for Employee Turnover Prediction. AAAI (2019)
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
Exploiting Cognitive Structure for Adaptive Learning. KDD (2019)
Jinwen Sun, Keli Xiao, Chuanren Liu, Wenjun Zhou, Hui Xiong
Exploiting intra-day patterns for market shock prediction: A machine learning approach. Expert Syst. Appl. 127 (2019)
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
Exploiting Cognitive Structure for Adaptive Learning. CoRR (2019)
Bowen Du, Wenjun Zhou, Chuanren Liu, Yifeng Cui, Hui Xiong
Transit Pattern Detection Using Tensor Factorization. INFORMS J. Comput. 31 (2) (2019)
Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang
Confidence-Aware Matrix Factorization for Recommender Systems. AAAI (2018)
Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin
CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. ICDM (2018)
Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma
Skeptical Deep Learning with Distribution Correction. CoRR (2018)
Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. IJCAI (2018)
Hao Zhong, Chuanren Liu, Junwei Zhong, Hui Xiong
Which startup to invest in: a personalized portfolio strategy. Ann. Oper. Res. 263 (1-2) (2018)
Keli Xiao, Qi Liu, Chuanren Liu, Hui Xiong
Price Shock Detection With an Influence-Based Model of Social Attention. ACM Trans. Manag. Inf. Syst. 9 (1) (2018)
Bo Jin, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong
A Treatment Engine by Predicting Next-Period Prescriptions. KDD (2018)
Jingyuan Yang, Chuanren Liu, Mingfei Teng, Ji Chen, Hui Xiong
A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation. IEEE Trans. Knowl. Data Eng. 30 (5) (2018)
Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou
Deep Graph Embedding for Ranking Optimization in E-commerce. CIKM (2018)
Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu
Finding Similar Exercises in Online Education Systems. KDD (2018)
Jun Pu, Chuanren Liu, Jianghua Zhao, Ke Han, Yuanchun Zhou
Vulnerability Assessment of Metro Systems Based on Dynamic Network Structure. PAKDD (1) (2018)
Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao
A Proactive Workflow Model for Healthcare Operation and Management. IEEE Trans. Knowl. Data Eng. 29 (3) (2017)
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye
Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling. KDD (2017)
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) (2017)
Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong
Point-of-Interest Demand Modeling with Human Mobility Patterns. KDD (2017)
Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective. IJCAI (2017)
Leilei Sun, Chonghui Guo, Chuanren Liu, Hui Xiong
Fast affinity propagation clustering based on incomplete similarity matrix. Knowl. Inf. Syst. 51 (3) (2017)
Yuyue Chen, Chuanren Liu
Aggregation and Disaggregation of Information: A Holistic View. ICDM Workshops (2017)
Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv
A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. AAAI (2017)
Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo
Forecasting the rise and fall of volatile point-of-interests. IEEE BigData (2017)
Jingyuan Yang, Chuanren Liu, Mingfei Teng, March Liao, Hui Xiong
Buyer targeting optimization: A unified customer segmentation perspective. IEEE BigData (2016)
Xinjiang Lu, Zhiwen Yu, Leilei Sun, Chuanren Liu, Hui Xiong, Chu Guan
Characterizing the life cycle of point of interests using human mobility patterns. UbiComp (2016)
Yanhong Guo, Wenjun Zhou, Chunyu Luo, Chuanren Liu, Hui Xiong
Instance-based credit risk assessment for investment decisions in P2P lending. Eur. J. Oper. Res. 249 (2) (2016)
Hao Zhong, Chuanren Liu, Xinjiang Lu, Hui Xiong
To be or Not to be Friends: Exploiting Social Ties for Venture Investments. ICDM (2016)
Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong
Unified Point-of-Interest Recommendation with Temporal Interval Assessment. KDD (2016)
Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie
Data-driven Automatic Treatment Regimen Development and Recommendation. KDD (2016)
Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong
Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records. KDD (2016)
Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Ling Yin, Chuanren Liu, Xinjiang Lu, JiaFeng Chen, Caixing Liu
Efficient Compression Algorithm with Limited Resource for Continuous Surveillance. KSII Trans. Internet Inf. Syst. 10 (11) (2016)
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye
Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling. CoRR (2016)
Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen
Popularity Modeling for Mobile Apps: A Sequential Approach. IEEE Trans. Cybern. 45 (7) (2015)
Chuanren Liu, Fei Wang, Jianying Hu, Hui Xiong
Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework. KDD (2015)
Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie
Mining Indecisiveness in Customer Behaviors. ICDM (2015)
Jingyuan Yang, Chuanren Liu, Mingfei Teng, Hui Xiong, March Liao, Vivian Zhu
Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations. ICDM (2015)
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)
Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. ICDM (2014)
Chuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang
Temporal skeletonization on sequential data: patterns, categorization, and visualization. KDD (2014)
Chuanren Liu, Kai Zhang, Hui Xiong
Sequential Pattern Analysis with Right Granularity. ICDM Workshops (2014)
Tianming Hu, Chuanren Liu, Yong Tang, Jing Sun, Hui Xiong, Sam Yuan Sung
High-dimensional clustering: a clique-based hypergraph partitioning framework. Knowl. Inf. Syst. 39 (1) (2014)
Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins
Proactive workflow modeling by stochastic processes with application to healthcare operation and management. KDD (2014)
Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong
Finding Well-Clusterable Subspaces for High Dimensional Data - A Numerical One-Dimension Approach. PAKDD (2) (2014)
Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong
Which Distance Metric is Right: An Evolutionary K-Means View. SDM (2012)
Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins
A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces. ICDM (2012)
Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong
Stochastic Unsupervised Learning on Unlabeled Data. ICML Unsupervised and Transfer Learning (2012)
Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen
A taxi business intelligence system. KDD (2011)
Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou
A Taxi Driving Fraud Detection System. ICDM (2011)
Tianming Hu, Chuanren Liu, Jing Sun, Sam Yuan Sung, Peter A. Ng
Pairwise Constrained Clustering with Group Similarity-Based Patterns. ICMLA (2010)
Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu
Initialization of the Neighborhood EM Algorithm for Spatial Clustering. ADMA (2009)