Chuanren Liu

According to our database, Chuanren Liu authored at least 91 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continuous-Time User Preference Modelling for Temporal Sets Prediction.

Le Yu, Zihang Liu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv

IEEE Trans. Knowl. Data Eng., April, 2024

Decision aggregation with reliability propagation.

Hao Zhong, Yuyue Chen, Chuanren Liu, Hande Y. Benson

Decis. Support Syst., March, 2024

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.

Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong

IEEE Trans. Big Data, February, 2024

Unified Uncertainty Estimation for Cognitive Diagnosis Models.

Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang

CoRR, 2024

2023

Heterogeneous Graph Representation Learning With Relation Awareness.

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong

IEEE Trans. Knowl. Data Eng., June, 2023

Loan default prediction using a credit rating-specific and multi-objective ensemble learning scheme.

Yu Song, Yuyan Wang, Xin Ye, Russell Zaretzki, Chuanren Liu

Inf. Sci., June, 2023

Editorial review: Data-intensive research in E-commerce.

Chuanren Liu, Xin Ye

Electron. Commer. Res. Appl., May, 2023

Recent advances in domain-driven data mining.

Chuanren Liu, Ehsan Fakharizadi, Tong Xu, Philip S. Yu

Int. J. Data Sci. Anal., January, 2023

Diagnostic Sparse Connectivity Networks With Regularization Template.

Yue Qu, Chuanren Liu, Kai Zhang, Keli Xiao, Bo Jin, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2023

Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms.

Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong

CoRR, 2023

Career Path Clustering via Sequential Job Embedding and Mixture Markov Models.

Hao Zhong, Chuanren Liu

Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising.

Wuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Community-based Dynamic Graph Learning for Popularity Prediction.

Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Firm Profiling and Competition Assessment: A Heterogeneous Occupation Network-based Method.

Hao Zhong, Chuanren Liu

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Prediction of Treatment Medicines With Dual Adaptive Sequential Networks.

Yang An, Liang Zhang, Haoyu Yang, Leilei Sun, Bo Jin, Chuanren Liu, Ruiyun Yu, Xiaopeng Wei

IEEE Trans. Knowl. Data Eng., 2022

Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network.

Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong

ACM Trans. Knowl. Discov. Data, 2022

Peer Influence in the Adoption of Video Games.

Yang Li, Jiangen He, Chuanren Liu, Yanni Ping

Int. J. E Bus. Res., 2022

An Adaptive Unified Allocation Framework for Guaranteed Display Advertising.

Xiao Cheng, Chuanren Liu, Liang Dai, Peng Zhang, Zhen Fang, Zhonglin Zu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Firm Profiling and Competition Assessment via Heterogeneous Occupation Network.

Hao Zhong, Chuanren Liu

Proceedings of the 43rd International Conference on Information Systems, 2022

2021

Exploiting Network Fusion for Organizational Turnover Prediction.

Mingfei Teng, Hengshu Zhu, Chuanren Liu, Hui Xiong

ACM Trans. Manag. Inf. Syst., 2021

Automatic Treatment Regimen Design.

Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie

IEEE Trans. Knowl. Data Eng., 2021

Representation Learning on Knowledge Graphs for Node Importance Estimation.

Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

GraphMI: Extracting Private Graph Data from Graph Neural Networks.

Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising.

Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu

Proceedings of the IEEE International Conference on Data Mining, 2021

Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach.

Yilin Hou, Guangming Zhao, Chuanren Liu, Zhonglin Zu, Xiaoqiang Zhu

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach.

Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo

ACM Trans. Knowl. Discov. Data, 2020

Product Supply Optimization for Crowdfunding Campaigns.

Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen

IEEE Trans. Big Data, 2020

Boundary salience: The interactive effect of organizational status distance and geographical proximity on coauthorship tie formation.

Dali Ma, V. K. Narayanan, Chuanren Liu, Ehsan Fakharizadi

Soc. Networks, 2020

Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning.

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong

CoRR, 2020

Dual Sequential Network for Temporal Sets Prediction.

Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Prediction and Profiling of Audience Competition for Online Television Series.

Peng Zhang, Chuanren Liu, Kefeng Ning, Wenxiang Zhu, Yu Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Predicting Temporal Sets with Deep Neural Networks.

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Why We Go Where We Go: Profiling User Decisions on Choosing POIs.

Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Structure-based Knowledge Tracing: An Influence Propagation View.

Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Precision Coupon Targeting with Dynamic Customer Triage.

Chuanren Liu, Wenxiang Zhu

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach.

Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Detecting Pickpocket Suspects from Large-Scale Public Transit Records.

Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2019

Unsupervised EEG feature extraction based on echo state network.

Leilei Sun, Bo Jin, Haoyu Yang, Jianing Tong, Chuanren Liu, Hui Xiong

Inf. Sci., 2019

Transit Pattern Detection Using Tensor Factorization.

Bowen Du, Wenjun Zhou, Chuanren Liu, Yifeng Cui, Hui Xiong

INFORMS J. Comput., 2019

Exploiting intra-day patterns for market shock prediction: A machine learning approach.

Jinwen Sun, Keli Xiao, Chuanren Liu, Wenjun Zhou, Hui Xiong

Expert Syst. Appl., 2019

Exploiting Cognitive Structure for Adaptive Learning.

Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time Pacing.

Zhen Fang, Yang Li, Chuanren Liu, Wenxiang Zhu, Yu Zheng, Wenjun Zhou

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Exploiting the Contagious Effect for Employee Turnover Prediction.

Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Price Shock Detection With an Influence-Based Model of Social Attention.

Keli Xiao, Qi Liu, Chuanren Liu, Hui Xiong

ACM Trans. Manag. Inf. Syst., 2018

A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation.

Jingyuan Yang, Chuanren Liu, Mingfei Teng, Ji Chen, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2018

Skeptical Deep Learning with Distribution Correction.

Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma

CoRR, 2018

Which startup to invest in: a personalized portfolio strategy.

Hao Zhong, Chuanren Liu, Junwei Zhong, Hui Xiong

Ann. Oper. Res., 2018

Vulnerability Assessment of Metro Systems Based on Dynamic Network Structure.

Jun Pu, Chuanren Liu, Jianghua Zhao, Ke Han, Yuanchun Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Finding Similar Exercises in Online Education Systems.

Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Treatment Engine by Predicting Next-Period Prescriptions.

Bo Jin, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.

Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining.

Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Graph Embedding for Ranking Optimization in E-commerce.

Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Confidence-Aware Matrix Factorization for Recommender Systems.

Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Proactive Workflow Model for Healthcare Operation and Management.

Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao

IEEE Trans. Knowl. Data Eng., 2017

Fast affinity propagation clustering based on incomplete similarity matrix.

Leilei Sun, Chonghui Guo, Chuanren Liu, Hui Xiong

Knowl. Inf. Syst., 2017

Intelligent bus routing with heterogeneous human mobility patterns.

Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu

Knowl. Inf. Syst., 2017

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.

Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Point-of-Interest Demand Modeling with Human Mobility Patterns.

Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective.

Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Aggregation and Disaggregation of Information: A Holistic View.

Yuyue Chen, Chuanren Liu

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Forecasting the rise and fall of volatile point-of-interests.

Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A Context-Enriched Neural Network Method for Recognizing Lexical Entailment.

Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization.

Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang

IEEE Trans. Knowl. Data Eng., 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

Instance-based credit risk assessment for investment decisions in P2P lending.

Yanhong Guo, Wenjun Zhou, Chunyu Luo, Chuanren Liu, Hui Xiong

Eur. J. Oper. Res., 2016

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.

Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye

CoRR, 2016

Data-driven Automatic Treatment Regimen Development and Recommendation.

Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Unified Point-of-Interest Recommendation with Temporal Interval Assessment.

Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records.

Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

To be or Not to be Friends: Exploiting Social Ties for Venture Investments.

Hao Zhong, Chuanren Liu, Xinjiang Lu, Hui Xiong

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Characterizing the life cycle of point of interests using human mobility patterns.

Xinjiang Lu, Zhiwen Yu, Leilei Sun, Chuanren Liu, Hui Xiong, Chu Guan

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Buyer targeting optimization: A unified customer segmentation perspective.

Jingyuan Yang, Chuanren Liu, Mingfei Teng, March Liao, Hui Xiong

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Popularity Modeling for Mobile Apps: A Sequential Approach.

Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen

IEEE Trans. Cybern., 2015

Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework.

Chuanren Liu, Fei Wang, Jianying Hu, Hui Xiong

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations.

Jingyuan Yang, Chuanren Liu, Mingfei Teng, Hui Xiong, March Liao, Vivian Zhu

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining Indecisiveness in Customer Behaviors.

Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

High-dimensional clustering: a clique-based hypergraph partitioning framework.

Tianming Hu, Chuanren Liu, Yong Tang, Jing Sun, Hui Xiong, Sam Yuan Sung

Knowl. Inf. Syst., 2014

Finding Well-Clusterable Subspaces for High Dimensional Data - A Numerical One-Dimension Approach.

Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Temporal skeletonization on sequential data: patterns, categorization, and visualization.

Chuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Proactive workflow modeling by stochastic processes with application to healthcare operation and management.

Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Sequential Pattern Analysis with Right Granularity.

Chuanren Liu, Kai Zhang, Hui Xiong

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

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

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.

Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2012

Stochastic Unsupervised Learning on Unlabeled Data.

Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong

Proceedings of the Unsupervised and Transfer Learning, 2012

Which Distance Metric is Right: An Evolutionary K-Means View.

Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces.

Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

A taxi business intelligence system.

Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A Taxi Driving Fraud Detection System.

Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Pairwise Constrained Clustering with Group Similarity-Based Patterns.

Tianming Hu, Chuanren Liu, Jing Sun, Sam Yuan Sung, Peter A. Ng

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Initialization of the Neighborhood EM Algorithm for Spatial Clustering.

Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009