Yong Ge

According to our database, Yong Ge authored at least 137 papers between 2007 and 2025.

Collaborative distances:

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

2025

Learning to Hash Knowledge Graph: Element-wise Rotation.

Yeshuai He, Jianqiang Cheng, Yong Ge

ACM Trans. Intell. Syst. Technol., December, 2025

Accuracy, Fairness, Diversity All at Once: An Influence-Function-Guided Data Enhancement Approach for Recommender System.

Tianyang Xie, Yong Ge, Shuojia Guo

ACM Trans. Knowl. Discov. Data, November, 2025

Where is the Next Step? Predicting the Scientific Impact of Research Career.

Hefu Zhang, Yong Ge, Yan Zhuang, Enhong Chen

IEEE Trans. Big Data, June, 2025

Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect.

Hao Liu, Yong Ge

CoRR, February, 2025

The 6th International Workshop on Talent and Management Computing (TMC 2025).

Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

M³Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation.

Yanan Wang, Yong Ge, Zhepeng Li, Li Li, Rui Chen

ACM Trans. Inf. Syst., November, 2024

Attacking Social Media via Behavior Poisoning.

Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen

ACM Trans. Knowl. Discov. Data, August, 2024

Boosting Factorization Machines via Saliency-Guided Mixup.

Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Enhance Knowledge Graph Embedding by Mixup.

Tianyang Xie, Yong Ge

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

The 5th International Workshop on Talent and Management Computing (TMC'2024).

Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks.

Shengming Zhang, Hao Zhong, Yong Ge, Hui Xiong

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Influence-Driven Data Poisoning for Robust Recommender Systems.

Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Job and Employee Embeddings: A Joint Deep Learning Approach.

Hao Liu, Yong Ge

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

Network Representation Lightening From Hashing to Quantization.

Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen

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

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.

Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu

IEEE Trans. Knowl. Data Eng., 2023

Knowledge Distillation for High Dimensional Search Index.

Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The 4th International Workshop on Talent and Management Computing (TMC'2023).

Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim

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

Learning Balanced Tree Indexes for Large-Scale Vector Retrieval.

Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen

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

2022

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation.

Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang

IEEE Trans. Knowl. Data Eng., 2022

CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency.

Weichao Liang, Zhiang Wu, Zhe Li, Yong Ge

ACM Trans. Intell. Syst. Technol., 2022

Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games.

Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing.

Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Collaborative Neural Social Recommendation.

Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang

IEEE Trans. Syst. Man Cybern. Syst., 2021

Deep Attributed Network Embedding by Preserving Structure and Attribute Information.

Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach.

Yong Ge, Zijun Yao, Huayu Li

IEEE Trans. Knowl. Data Eng., 2021

Route Recommendations for Intelligent Transportation Services.

Yong Ge, Huayu Li, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2021

What Will Be Popular Next? Predicting Hotspots in Two-Mode Social Networks.

Zhepeng (Lionel) Li, Yong Ge, Xue Bai

MIS Q., 2021

Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.

Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems.

Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen

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

Online Additive Quantization.

Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen

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

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior.

Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020

On Scalability of Association-rule-based Recommendation: A Unified Distributed-computing Framework.

Zhiang Wu, Changsheng Li, Jie Cao, Yong Ge

ACM Trans. Web, 2020

Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding.

Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu

IEEE Trans. Knowl. Data Eng., 2020

Multi-User Mobile Sequential Recommendation for Route Optimization.

Keli Xiao, Zeyang Ye, Lihao Zhang, Wenjun Zhou, Yong Ge, Yuefan Deng

ACM Trans. Knowl. Discov. Data, 2020

A Joint Neural Model for User Behavior Prediction on Social Networking Platforms.

Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li

ACM Trans. Intell. Syst. Technol., 2020

Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization.

Lei Chen, Zhiang Wu, Jie Cao, Guixiang Zhu, Yong Ge

ACM Trans. Intell. Syst. Technol., 2020

Micro- and macro-level churn analysis of large-scale mobile games.

Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

Knowl. Inf. Syst., 2020

E-WOM's Impact on App Development.

Peiqin Zhang, Yong Ge, Hsun-Ming Lee

J. Comput. Inf. Syst., 2020

Leveraging proficiency and preference for online Karaoke recommendation.

Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma

Frontiers Comput. Sci., 2020

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation.

Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu

CoRR, 2020

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning.

Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen

CoRR, 2020

Geography-Aware Sequential Location Recommendation.

Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen

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

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.

Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu

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

Explainable Recommender Systems via Resolving Learning Representations.

Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation.

Zeyang Ye, Keli Xiao, Yong Ge, Yuefan Deng

IEEE Trans. Knowl. Data Eng., 2019

Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.

Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2019

Binarized Collaborative Filtering with Distilling Graph Convolutional Networks.

Haoyu Wang, Defu Lian, Yong Ge

CoRR, 2019

Personalized Multimedia Item and Key Frame Recommendation.

Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Binarized Collaborative Filtering with Distilling Graph Convolutional Network.

Haoyu Wang, Defu Lian, Yong Ge

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding.

Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective.

Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge

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

2018

Exploring the Emerging Type of Comment for Online Videos: <i>DanMu</i>.

Ming He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang

ACM Trans. Web, 2018

A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending.

Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du

IEEE Trans. Syst. Man Cybern. Syst., 2018

GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization.

Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie

ACM Trans. Inf. Syst., 2018

Product Adoption Rate Prediction in a Competitive Market.

Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang

IEEE Trans. Knowl. Data Eng., 2018

Scalable Content-Aware Collaborative Filtering for Location Recommendation.

Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui

IEEE Trans. Knowl. Data Eng., 2018

Explainable Social Contextual Image Recommendation with Hierarchical Attention.

Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du

CoRR, 2018

Understand and Assess People's Procrastination by Mining Computer Usage Log.

Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li

Proceedings of the Knowledge Science, Engineering and Management, 2018

Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm.

Zeyang Ye, Lihao Zhang, Keli Xiao, Wenjun Zhou, Yong Ge, Yuefan Deng

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

High-order Proximity Preserving Information Network Hashing.

Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie

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

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games.

Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

Proceedings of the IEEE International Conference on Data Mining, 2018

Single Low-Light Image Enhancement by Fusing Multiple Sources.

Zhuang Feng, Zhiyuan Zhou, Richang Hong, Shijie Hao, Yong Ge, Meng Wang

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017

Mobile Sequential Recommendation.

Yong Ge

Proceedings of the Encyclopedia of GIS., 2017

An efficient data processing framework for mining the massive trajectory of moving objects.

Yuanchun Zhou, Yang Zhang, Yong Ge, Zhenghua Xue, Yanjie Fu, Danhuai Guo, Jing Shao, Tiangang Zhu, Xuezhi Wang, Jianhui Li

Comput. Environ. Urban Syst., 2017

Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services.

Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang

IEEE Trans. Knowl. Data Eng., 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

User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective.

Richang Hong, Chuan He, Yong Ge, Meng Wang, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2017

P2P Lending Survey: Platforms, Recent Advances and Prospects.

Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen, Hefu Zhang

ACM Trans. Intell. Syst. Technol., 2017

Tracking the Dynamics in Crowdfunding.

Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu

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

Discrete Content-aware Matrix Factorization.

Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao

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

A Context-aware Attention Network for Interactive Question Answering.

Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav

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

Prospecting the Career Development of Talents: A Survival Analysis Perspective.

Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao

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

Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach.

Huayu Li, Yong Ge, Defu Lian, Hao Liu

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

Identifying Serendipitous Drug Usages in Patient Forum Data - A Feasibility Study.

Boshu Ru, Charles Warner-Hillard, Yong Ge, Lixia Yao

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016

Modeling of Geographic Dependencies for Real Estate Ranking.

Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou

ACM Trans. Knowl. Discov. Data, 2016

Tracking the evolution of social emotions with topic models.

Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong

Knowl. Inf. Syst., 2016

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification.

Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao

Frontiers Comput. Sci., 2016

A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation.

Huayu Li, Richang Hong, Zhiang Wu, Yong Ge

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Days on Market: Measuring Liquidity in Real Estate Markets.

Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu

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

Portfolio Selections in P2P Lending: A Multi-Objective Perspective.

Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen

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

Point-of-Interest Recommendations: Learning Potential Check-ins from Friends.

Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu

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

Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.

Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback.

Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Group Preference Aggregation: A Nash Equilibrium Approach.

Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen

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

Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.

Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie

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

Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View.

Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan

Proceedings of the Database Systems for Advanced Applications, 2016

Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective.

Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Discovery of Ranking Fraud for Mobile Apps.

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen

IEEE Trans. Knowl. Data Eng., 2015

Popularity Modeling for Mobile Apps: A Sequential Approach.

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

IEEE Trans. Cybern., 2015

Information Coverage Maximization in Social Networks.

Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang

CoRR, 2015

Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization.

Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Automated Detection for Probable Homologous Foodborne Disease Outbreaks.

Xiao Xiao, Yong Ge, Yunchang Guo, Danhuai Guo, Yi Shen, Yuanchun Zhou, Jianhui Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Real Estate Ranking via Mixed Land-use Latent Models.

Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu

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

Maximizing the Coverage of Information Propagation in Social Networks.

Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Short and Sparse Text Topic Modeling via Self-Aggregation.

Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Regularizing Flat Latent Variables with Hierarchical Structures.

Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu, Yong Ge

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data.

Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui

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

Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews.

Huayu Li, Rongcheng Lin, Richang Hong, Yong Ge

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

Point-of-Interest Recommender Systems: A Separate-Space Perspective.

Huayu Li, Richang Hong, Shiai Zhu, Yong Ge

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

How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show.

Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li

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

2014

Cost-Aware Collaborative Filtering for Travel Tour Recommendations.

Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu

ACM Trans. Inf. Syst., 2014

A Cocktail Approach for Travel Package Recommendation.

Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu

IEEE Trans. Knowl. Data Eng., 2014

Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks.

Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao

Proceedings of the Web-Age Information Management - 15th International Conference, 2014

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

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

User Preference Learning with Multiple Information Fusion for Restaurant Recommendation.

Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong

Proceedings of the 2014 SIAM International Conference on Data Mining, 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

Mobile app recommendations with security and privacy awareness.

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen

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

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

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

Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective.

Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu

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

Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.

Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen

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

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

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

Metric Ranking of Invariant Networks with Belief Propagation.

Changxia Tao, Yong Ge, Qinbao Song, Yuan Ge, Olufemi A. Omitaomu

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

Technology Prospecting for High Tech Companies through Patent Mining.

Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang

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

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

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

Predicting the Popularity of Online Serials with Autoregressive Models.

Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Ranking Metric Anomaly in Invariant Networks.

Yong Ge, Guofei Jiang, Min Ding, Hui Xiong

ACM Trans. Knowl. Discov. Data, 2013

Feature selection for high-dimensional imbalanced data.

Liuzhi Yin, Yong Ge, Keli Xiao, Xuehua Wang, Xiaojun Quan

Neurocomputing, 2013

Ranking fraud detection for mobile apps: a holistic view.

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Stochastic Unsupervised Learning on Unlabeled Data.

Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong

Proceedings of the Unsupervised and Transfer Learning, 2012

Link Graph Analysis for Business Site Selection.

Xiaojun Quan, Liu Wenyin, Wenyu Dou, Hui Xiong, Yong Ge

Computer, 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

Influential seed items recommendation.

Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng

Proceedings of the Sixth ACM Conference on Recommender Systems, 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

Multifocal learning for customer problem analysis.

Yong Ge, Hui Xiong, Wenjun Zhou, Siming Li, Ramendra K. Sahoo

ACM Trans. Intell. Syst. Technol., 2011

Collaborative filtering with collective training.

Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Cost-aware travel tour recommendation.

Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen

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

Personalized Travel Package Recommendation.

Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong

Proceedings of the 11th IEEE International Conference on 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

An energy-efficient mobile recommender system.

Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Direction clustering for characterizing movement patterns.

Wenjun Zhou, Hui Xiong, Yong Ge, Jannite Yu, Hasan Timucin Ozdemir, Kuo Chu Lee

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments.

Jie Yang, Yong Ge, Hui Xiong, Yingying Chen, Hongbo Liu

Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Top-Eye: top-k evolving trajectory outlier detection.

Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Timucin Ozdemir, Jannite Yu, Kuo Chu Lee

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Multi-focal learning and its application to customer service support.

Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo, Xiaofeng Gao, Weili Wu

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2007

Salience Preserving Multi-Focus Image Fusion.

Richang Hong, Chao Wang, Yong Ge, Meng Wang, Xiuqing Wu, Rong Zhang

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A Probability Model for Image Annotation.

Yong Ge, Richang Hong, Zhiwei Gu, Rong Zhang, Xiuqing Wu

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007