Yong Ge - RankMe

149 papers A* 54A 13C 2Misc 1Journal 65Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accuracy, Fairness, Diversity All at Once: An Influence-Function-Guided Data Enhancement Approach for Recommender System. ACM Trans. Knowl. Discov. Data Tianyang Xie, Yong Ge, Shuojia Guo
2025	J	`jnl`	Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect. CoRR Hao Liu, Yong Ge
2025	J	`jnl`	Learning to Hash Knowledge Graph: Element-wise Rotation. ACM Trans. Intell. Syst. Technol. Yeshuai He, Jianqiang Cheng, Yong Ge
2025	—	`conf`	The 6th International Workshop on Talent and Management Computing (TMC 2025). KDD (2) Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim
2025	J	`jnl`	Where is the Next Step? Predicting the Scientific Impact of Research Career. IEEE Trans. Big Data Hefu Zhang, Yong Ge, Yan Zhuang, Enhong Chen
2024	J	`jnl`	Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen
2024	J	`jnl`	Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
2024	—	`conf`	Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks. HICSS Shengming Zhang, Hao Zhong, Yong Ge, Hui Xiong
2024	J	`jnl`	Enhance Knowledge Graph Embedding by Mixup. IEEE Trans. Knowl. Data Eng. Tianyang Xie, Yong Ge
2024	J	`jnl`	M ACM Trans. Inf. Syst. Yanan Wang, Yong Ge, Zhepeng Li, Li Li, Rui Chen
2024	A*	`conf`	The 5th International Workshop on Talent and Management Computing (TMC'2024). KDD Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim
2023	C	`conf`	Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks. ICIS Shengming Zhang, Hao Zhong, Yong Ge, Hui Xiong
2023	J	`jnl`	Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen
2023	J	`jnl`	Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. IEEE Trans. Knowl. Data Eng. Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu
2023	J	`jnl`	Job and Employee Embeddings: A Joint Deep Learning Approach. IEEE Trans. Knowl. Data Eng. Hao Liu, Yong Ge
2023	A*	`conf`	Knowledge Distillation for High Dimensional Search Index. NeurIPS Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen
2023	A*	`conf`	Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen
2023	J	`jnl`	Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen
2023	A*	`conf`	The 4th International Workshop on Talent and Management Computing (TMC'2023). KDD Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim
2022	J	`jnl`	Boosting Factorization Machines via Saliency-Guided Mixup. CoRR Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
2022	J	`jnl`	CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency. ACM Trans. Intell. Syst. Technol. Weichao Liang, Zhiang Wu, Zhe Li, Yong Ge
2022	J	`jnl`	DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. IEEE Trans. Knowl. Data Eng. Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
2022	A*	`conf`	Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. KDD Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong
2022	A*	`conf`	Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. WWW Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen
2021	J	`jnl`	Collaborative Neural Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
2021	J	`jnl`	Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach. IEEE Trans. Knowl. Data Eng. Yong Ge, Zijun Yao, Huayu Li
2021	J	`jnl`	Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu
2021	A*	`conf`	Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan
2021	—	`conf`	Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. APWeb/WAIM (2) Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge
2021	A*	`conf`	Online Additive Quantization. KDD Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen
2021	J	`jnl`	Route Recommendations for Intelligent Transportation Services. IEEE Trans. Knowl. Data Eng. Yong Ge, Huayu Li, Alexander Tuzhilin
2021	A*	`conf`	Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen
2021	J	`jnl`	What Will Be Popular Next? Predicting Hotspots in Two-Mode Social Networks. MIS Q. Zhepeng (Lionel) Li, Yong Ge, Xue Bai
2020	J	`jnl`	A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. ACM Trans. Intell. Syst. Technol. Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li
2020	A*	`conf`	AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
2020	J	`jnl`	AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
2020	J	`jnl`	Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. CoRR Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
2020	J	`jnl`	DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. CoRR Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
2020	J	`jnl`	E-WOM's Impact on App Development. J. Comput. Inf. Syst. Peiqin Zhang, Yong Ge, Hsun-Ming Lee
2020	A	`conf`	Explainable Recommender Systems via Resolving Learning Representations. CIKM Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020	J	`jnl`	Explainable Recommender Systems via Resolving Learning Representations. CoRR Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020	A*	`conf`	Geography-Aware Sequential Location Recommendation. KDD Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen
2020	J	`jnl`	Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop. CoRR Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu
2020	J	`jnl`	Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma
2020	J	`jnl`	Micro- and macro-level churn analysis of large-scale mobile games. Knowl. Inf. Syst. Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2020	J	`jnl`	Multi-User Mobile Sequential Recommendation for Route Optimization. ACM Trans. Knowl. Discov. Data Keli Xiao, Zeyang Ye, Lihao Zhang, Wenjun Zhou, Yong Ge, Yuefan Deng
2020	J	`jnl`	Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. CoRR Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu
2020	J	`jnl`	On Scalability of Association-rule-based Recommendation: A Unified Distributed-computing Framework. ACM Trans. Web Zhiang Wu, Changsheng Li, Jie Cao, Yong Ge
2020	J	`jnl`	Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization. ACM Trans. Intell. Syst. Technol. Lei Chen, Zhiang Wu, Jie Cao, Guixiang Zhu, Yong Ge
2020	J	`jnl`	Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. IEEE Trans. Knowl. Data Eng. Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu
2019	—	`conf`	A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. IEEE BigData Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi
2019	J	`jnl`	Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Zeyang Ye, Keli Xiao, Yong Ge, Yuefan Deng
2019	A*	`conf`	Binarized Collaborative Filtering with Distilling Graph Convolutional Network. IJCAI Haoyu Wang, Defu Lian, Yong Ge
2019	J	`jnl`	Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. CoRR Haoyu Wang, Defu Lian, Yong Ge
2019	A*	`conf`	Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. AAAI Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge
2019	J	`jnl`	Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. CoRR Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2019	A*	`conf`	Personalized Multimedia Item and Key Frame Recommendation. IJCAI Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
2019	J	`jnl`	Personalized Multimedia Item and Key Frame Recommendation. CoRR Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
2019	J	`jnl`	Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Trans. Knowl. Data Eng. Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong
2018	A*	`conf`	A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. ICDM Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2018	J	`jnl`	A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. CoRR Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
2018	J	`jnl`	A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending. IEEE Trans. Syst. Man Cybern. Syst. Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du
2018	J	`jnl`	Explainable Social Contextual Image Recommendation with Hierarchical Attention. CoRR Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du
2018	J	`jnl`	Exploring the Emerging Type of Comment for Online Videos: ACM Trans. Web Ming He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang
2018	J	`jnl`	GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie
2018	A*	`conf`	High-order Proximity Preserving Information Network Hashing. KDD Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie
2018	A*	`conf`	Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm. KDD Zeyang Ye, Lihao Zhang, Keli Xiao, Wenjun Zhou, Yong Ge, Yuefan Deng
2018	J	`jnl`	Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang
2018	J	`jnl`	Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Trans. Knowl. Data Eng. Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui
2018	—	`conf`	Single Low-Light Image Enhancement by Fusing Multiple Sources. BigMM Zhuang Feng, Zhiyuan Zhou, Richang Hong, Shijie Hao, Yong Ge, Meng Wang
2018	—	`conf`	Understand and Assess People's Procrastination by Mining Computer Usage Log. KSEM (1) Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li
2017	A*	`conf`	A Context-aware Attention Network for Interactive Question Answering. KDD Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav
2017	J	`jnl`	A Proactive Workflow Model for Healthcare Operation and Management. IEEE Trans. Knowl. Data Eng. Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao
2017	J	`jnl`	An efficient data processing framework for mining the massive trajectory of moving objects. Comput. Environ. Urban Syst. Yuanchun Zhou, Yang Zhang, Yong Ge, Zhenghua Xue, Yanjie Fu, Danhuai Guo, Jing Shao, Tiangang Zhu, Xuezhi Wang, Jianhui Li
2017	A*	`conf`	Discrete Content-aware Matrix Factorization. KDD Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao
2017	—	`conf`	Identifying Serendipitous Drug Usages in Patient Forum Data - A Feasibility Study. HEALTHINF Boshu Ru, Charles Warner-Hillard, Yong Ge, Lixia Yao
2017	C	`ed.`	Knowledge Science, Engineering and Management - 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings KSEM Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein
2017	A*	`conf`	Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. IJCAI Huayu Li, Yong Ge, Defu Lian, Hao Liu
2017	—	`ch.`	Mobile Sequential Recommendation. Encyclopedia of GIS Yong Ge
2017	J	`jnl`	Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Trans. Knowl. Data Eng. Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang
2017	J	`jnl`	P2P Lending Survey: Platforms, Recent Advances and Prospects. ACM Trans. Intell. Syst. Technol. Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen, Hefu Zhang
2017	A*	`conf`	Prospecting the Career Development of Talents: A Survival Analysis Perspective. KDD Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao
2017	A*	`conf`	Tracking the Dynamics in Crowdfunding. KDD Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu
2017	J	`jnl`	User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective. IEEE Trans. Knowl. Data Eng. Richang Hong, Chuan He, Yong Ge, Meng Wang, Xindong Wu
2016	J	`jnl`	A Context-aware Attention Network for Interactive Question Answering. CoRR Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav
2016	A*	`conf`	A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback. IJCAI Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge
2016	A	`conf`	A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation. SDM Huayu Li, Richang Hong, Zhiang Wu, Yong Ge
2016	A*	`conf`	Days on Market: Measuring Liquidity in Real Estate Markets. KDD Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu
2016	J	`jnl`	Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers Comput. Sci. Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao
2016	A*	`conf`	Group Preference Aggregation: A Nash Equilibrium Approach. ICDM Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen
2016	A*	`conf`	Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. AAAI Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang
2016	J	`jnl`	Modeling of Geographic Dependencies for Real Estate Ranking. ACM Trans. Knowl. Discov. Data Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou
2016	A*	`conf`	Point-of-Interest Recommendations: Learning Potential Check-ins from Friends. KDD Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu
2016	A*	`conf`	Portfolio Selections in P2P Lending: A Multi-Objective Perspective. KDD Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen
2016	—	`conf`	Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. DASFAA (2) Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan
2016	A*	`conf`	Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. ICDM Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie
2016	A*	`conf`	Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. IJCAI Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong
2016	J	`jnl`	Tracking the evolution of social emotions with topic models. Knowl. Inf. Syst. Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong
2015	—	`conf`	Automated Detection for Probable Homologous Foodborne Disease Outbreaks. PAKDD (1) Xiao Xiao, Yong Ge, Yunchang Guo, Danhuai Guo, Yi Shen, Yuanchun Zhou, Jianhui Li
2015	A*	`conf`	Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. ICDM Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui
2015	J	`jnl`	Discovery of Ranking Fraud for Mobile Apps. IEEE Trans. Knowl. Data Eng. Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
2015	A*	`conf`	Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews. ICDM Huayu Li, Rongcheng Lin, Richang Hong, Yong Ge
2015	—	`conf`	How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. ICDM Workshops Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li
2015	J	`jnl`	Information Coverage Maximization in Social Networks. CoRR Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang
2015	A*	`conf`	Maximizing the Coverage of Information Propagation in Social Networks. IJCAI Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang
2015	A	`conf`	Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization. SDM Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge
2015	A*	`conf`	Point-of-Interest Recommender Systems: A Separate-Space Perspective. ICDM Huayu Li, Richang Hong, Shiai Zhu, Yong Ge
2015	J	`jnl`	Popularity Modeling for Mobile Apps: A Sequential Approach. IEEE Trans. Cybern. Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen
2015	A*	`conf`	Real Estate Ranking via Mixed Land-use Latent Models. KDD Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu
2015	A*	`conf`	Regularizing Flat Latent Variables with Hierarchical Structures. IJCAI Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu, Yong Ge
2015	A*	`conf`	Short and Sparse Text Topic Modeling via Self-Aggregation. IJCAI Xiaojun Quan, Chunyu Kit, Yong Ge, Sinno Jialin Pan
2014	J	`jnl`	A Cocktail Approach for Travel Package Recommendation. IEEE Trans. Knowl. Data Eng. Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu
2014	A	`conf`	A New Framework for Traffic Anomaly Detection. SDM Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li
2014	J	`jnl`	Cost-Aware Collaborative Filtering for Travel Tour Recommendations. ACM Trans. Inf. Syst. Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
2014	A*	`conf`	Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. KDD Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou
2014	—	`conf`	Finding Well-Clusterable Subspaces for High Dimensional Data - A Numerical One-Dimension Approach. PAKDD (2) Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong
2014	A*	`conf`	Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. ICDM Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong
2014	J	`jnl`	Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval. CoRR Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li
2014	A*	`conf`	Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. ICDM Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen
2014	A*	`conf`	Metric Ranking of Invariant Networks with Belief Propagation. ICDM Changxia Tao, Yong Ge, Qinbao Song, Yuan Ge, Olufemi A. Omitaomu
2014	A*	`conf`	Mobile app recommendations with security and privacy awareness. KDD Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
2014	A	`conf`	Predicting the Popularity of Online Serials with Autoregressive Models. CIKM Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan
2014	A*	`conf`	Proactive workflow modeling by stochastic processes with application to healthcare operation and management. KDD Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins
2014	A*	`conf`	Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. ICDM Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan
2014	A*	`conf`	Technology Prospecting for High Tech Companies through Patent Mining. ICDM Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang
2014	—	`conf`	Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks. WAIM Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao
2014	A*	`conf`	Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. ICDM Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu
2014	A	`conf`	User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. SDM Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong
2013	J	`jnl`	Feature selection for high-dimensional imbalanced data. Neurocomputing Liuzhi Yin, Yong Ge, Keli Xiao, Xuehua Wang, Xiaojun Quan
2013	J	`jnl`	Ranking Metric Anomaly in Invariant Networks. ACM Trans. Knowl. Discov. Data Yong Ge, Guofei Jiang, Min Ding, Hui Xiong
2013	A	`conf`	Ranking fraud detection for mobile apps: a holistic view. CIKM Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
2012	A*	`conf`	A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces. ICDM Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins
2012	A	`conf`	Influential seed items recommendation. RecSys Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng
2012	J	`jnl`	Link Graph Analysis for Business Site Selection. Computer Xiaojun Quan, Liu Wenyin, Wenyu Dou, Hui Xiong, Yong Ge
2012	—	`conf`	Stochastic Unsupervised Learning on Unlabeled Data. ICML Unsupervised and Transfer Learning Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong
2012	A	`conf`	Which Distance Metric is Right: An Evolutionary K-Means View. SDM Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong
2011	A*	`conf`	A Taxi Driving Fraud Detection System. ICDM Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou
2011	A*	`conf`	A taxi business intelligence system. KDD Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen
2011	A	`conf`	Collaborative filtering with collective training. RecSys Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
2011	A*	`conf`	Cost-aware travel tour recommendation. KDD Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen
2011	J	`jnl`	Multifocal learning for customer problem analysis. ACM Trans. Intell. Syst. Technol. Yong Ge, Hui Xiong, Wenjun Zhou, Siming Li, Ramendra K. Sahoo
2011	A*	`conf`	Personalized Travel Package Recommendation. ICDM Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong
2010	A*	`conf`	An energy-efficient mobile recommender system. KDD Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani
2010	Misc	`conf`	Direction clustering for characterizing movement patterns. IRI Wenjun Zhou, Hui Xiong, Yong Ge, Jannite Yu, Hasan Timucin Ozdemir, Kuo Chu Lee
2010	A*	`conf`	Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments. INFOCOM Jie Yang, Yong Ge, Hui Xiong, Yingying Chen, Hongbo Liu
2010	A	`conf`	Top-Eye: top-k evolving trajectory outlier detection. CIKM Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Timucin Ozdemir, Jannite Yu, Kuo Chu Lee
2009	A*	`conf`	Multi-focal learning and its application to customer service support. KDD Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo, Xiaofeng Gao, Weili Wu
2007	A	`conf`	A Probability Model for Image Annotation. ICME Yong Ge, Richang Hong, Zhiwei Gu, Rong Zhang, Xiuqing Wu
2007	A	`conf`	Salience Preserving Multi-Focus Image Fusion. ICME Richang Hong, Chao Wang, Yong Ge, Meng Wang, Xiuqing Wu, Rong Zhang