A Probability Model for Image Annotation. - Yong Ge 001; Richang Hong; Zhiwei Gu; Rong Zhang; Xiuqing Wu (ICME, 2007)

Salience Preserving Multi-Focus Image Fusion. - Richang Hong; Chao Wang 049; Yong Ge 001; Meng Wang 001; Xiuqing Wu; Rong Zhang (ICME, 2007)

Multi-focal learning and its application to customer service support. - Yong Ge 001; Hui Xiong 001; Wenjun Zhou 001; Ramendra K. Sahoo; Xiaofeng Gao 001; Weili Wu 001 (KDD, 2009)

Top-Eye: top-k evolving trajectory outlier detection. - Yong Ge 001; Hui Xiong 001; Zhi-Hua Zhou; Hasan Timucin Ozdemir; Jannite Yu; Kuo Chu Lee (CIKM, 2010)

Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments. - Jie Yang 003; Yong Ge 001; Hui Xiong 001; Yingying Chen 001; Hongbo Liu 002 (INFOCOM, 2010)

Direction clustering for characterizing movement patterns. - Wenjun Zhou 001; Hui Xiong 001; Yong Ge 001; Jannite Yu; Hasan Timucin Ozdemir; Kuo Chu Lee (IRI, 2010)

An energy-efficient mobile recommender system. - Yong Ge 001; Hui Xiong 001; Alexander Tuzhilin; Keli Xiao; Marco Gruteser; Michael J. Pazzani (KDD, 2010)

A Taxi Driving Fraud Detection System. - Yong Ge 001; Hui Xiong 001; Chuanren Liu; Zhi-Hua Zhou (ICDM, 2011)

Personalized Travel Package Recommendation. - Qi Liu 003; Yong Ge 001; Zhongmou Li; Enhong Chen; Hui Xiong 001 (ICDM, 2011)

A taxi business intelligence system. - Yong Ge 001; Chuanren Liu; Hui Xiong 001; Jian Chen 016 (KDD, 2011)

Cost-aware travel tour recommendation. - Yong Ge 001; Qi Liu 003; Hui Xiong 001; Alexander Tuzhilin; Jian Chen 016 (KDD, 2011)

Collaborative filtering with collective training. - Yong Ge 001; Hui Xiong 001; Alexander Tuzhilin; Qi Liu 003 (RecSys, 2011)

Multifocal learning for customer problem analysis. - Yong Ge 001; Hui Xiong 001; Wenjun Zhou 001; Siming Li; Ramendra K. Sahoo (ACM Trans. Intell. Syst. Technol., 2011)

A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces. - Chuanren Liu; Hui Xiong 001; Yong Ge 001; Wei Geng; Matt Perkins (ICDM, 2012)

Influential seed items recommendation. - Qi Liu 003; Biao Xiang; Enhong Chen; Yong Ge 001; Hui Xiong 001; Tengfei Bao; Yi Zheng 007 (RecSys, 2012)

Which Distance Metric is Right: An Evolutionary K-Means View. - Chuanren Liu; Tianming Hu; Yong Ge 001; Hui Xiong 001 (SDM, 2012)

Link Graph Analysis for Business Site Selection. - Xiaojun Quan; Liu Wenyin; Wenyu Dou; Hui Xiong 001; Yong Ge 001 (Computer, 2012)

Stochastic Unsupervised Learning on Unlabeled Data. - Chuanren Liu; Jianjun Xie; Yong Ge 001; Hui Xiong 001 (ICML Unsupervised and Transfer Learning, 2012)

Ranking fraud detection for mobile apps: a holistic view. - Hengshu Zhu; Hui Xiong 001; Yong Ge 001; Enhong Chen (CIKM, 2013)

Feature selection for high-dimensional imbalanced data. - Liuzhi Yin; Yong Ge 001; Keli Xiao; Xuehua Wang; Xiaojun Quan (Neurocomputing, 2013)

Ranking Metric Anomaly in Invariant Networks. - Yong Ge 001; Guofei Jiang; Min Ding; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2013)

Predicting the Popularity of Online Serials with Autoregressive Models. - Biao Chang; Hengshu Zhu; Yong Ge 001; Enhong Chen; Hui Xiong 001; Chang Tan (CIKM, 2014)

Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. - Yanjie Fu; Yong Ge 001; Yu Zheng 004; Zijun Yao 001; Yanchi Liu; Hui Xiong 001; Jing Yuan 007 (ICDM, 2014)

Technology Prospecting for High Tech Companies through Patent Mining. - Bo Jin 001; Yong Ge 001; Hengshu Zhu; Li Guo 008; Hui Xiong 001; Chao Zhang (ICDM, 2014)

Metric Ranking of Invariant Networks with Belief Propagation. - Changxia Tao; Yong Ge 001; Qinbao Song; Yuan Ge; Olufemi A. Omitaomu (ICDM, 2014)

Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. - Liang Wu 011; Liang Du 003; Bo Liu 004; Guandong Xu; Yong Ge 001; Yanjie Fu; Jianhui Li; Yuanchun Zhou; Hui Xiong 001 (ICDM, 2014)

Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. - Hongke Zhao; Le Wu; Qi Liu 003; Yong Ge 001; Enhong Chen (ICDM, 2014)

Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. - Chen Zhu 003; Hengshu Zhu; Yong Ge 001; Enhong Chen; Qi Liu 003 (ICDM, 2014)

Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering. - Yanjie Fu; Hui Xiong 001; Yong Ge 001; Zijun Yao 001; Yu Zheng 004; Zhi-Hua Zhou (KDD, 2014)

Proactive workflow modeling by stochastic processes with application to healthcare operation and management. - Chuanren Liu; Yong Ge 001; Hui Xiong 001; Keli Xiao; Wei Geng; Matt Perkins (KDD, 2014)

Mobile app recommendations with security and privacy awareness. - Hengshu Zhu; Hui Xiong 001; Yong Ge 001; Enhong Chen (KDD, 2014)

Finding Well-Clusterable Subspaces for High Dimensional Data - A Numerical One-Dimension Approach. - Chuanren Liu; Tianming Hu; Yong Ge 001; Hui Xiong 001 (PAKDD (2), 2014)

User Preference Learning with Multiple Information Fusion for Restaurant Recommendation. - Yanjie Fu; Bin Liu 045; Yong Ge 001; Zijun Yao 001; Hui Xiong 001 (SDM, 2014)

A New Framework for Traffic Anomaly Detection. - Jinsong Lan; Cheng Long 001; Raymond Chi-Wing Wong; Youyang Chen; Yanjie Fu; Danhuai Guo; Shuguang Liu; Yong Ge 001; Yuanchun Zhou; Jianhui Li (SDM, 2014)

Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks. - Yi Zheng 007; Qi Liu 003; Enhong Chen; Yong Ge 001; J. Leon Zhao (WAIM, 2014)

A Cocktail Approach for Travel Package Recommendation. - Qi Liu 003; Enhong Chen; Hui Xiong 001; Yong Ge 001; Zhongmou Li; Xiang Wu (IEEE Trans. Knowl. Data Eng., 2014)

Cost-Aware Collaborative Filtering for Travel Tour Recommendations. - Yong Ge 001; Hui Xiong 001; Alexander Tuzhilin; Qi Liu 003 (ACM Trans. Inf. Syst., 2014)

How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. - Danhuai Guo; Yingqiu Zhu; Wei Xu 008; Yong Ge 001; Yuanchun Zhou; Jianhui Li (ICDM Workshops, 2015)

Point-of-Interest Recommender Systems: A Separate-Space Perspective. - Huayu Li; Richang Hong; Shiai Zhu; Yong Ge 001 (ICDM, 2015)

Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews. - Huayu Li; Rongcheng Lin; Richang Hong; Yong Ge 001 (ICDM, 2015)

Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. - Defu Lian; Yong Ge 001; Fuzheng Zhang; Nicholas Jing Yuan; Xing Xie 001; Tao Zhou 001; Yong Rui (ICDM, 2015)

Regularizing Flat Latent Variables with Hierarchical Structures. - Rongcheng Lin; Huayu Li; Xiaojun Quan; Richang Hong; Zhiang Wu 001; Yong Ge 001 (IJCAI, 2015)

Short and Sparse Text Topic Modeling via Self-Aggregation. - Xiaojun Quan; Chunyu Kit; Yong Ge 001; Sinno Jialin Pan (IJCAI, 2015)

Maximizing the Coverage of Information Propagation in Social Networks. - Zhefeng Wang 001; Enhong Chen; Qi Liu 003; Yu Yang 001; Yong Ge 001; Biao Chang (IJCAI, 2015)

Real Estate Ranking via Mixed Land-use Latent Models. - Yanjie Fu; Guannan Liu 004; Spiros Papadimitriou; Hui Xiong 001; Yong Ge 001; Hengshu Zhu; Chen Zhu 003 (KDD, 2015)

Automated Detection for Probable Homologous Foodborne Disease Outbreaks. - Xiao Xiao; Yong Ge 001; Yunchang Guo; Danhuai Guo; Yi Shen; Yuanchun Zhou; Jianhui Li (PAKDD (1), 2015)

Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization. - Huayu Li; Hengshu Zhu; Yong Ge 001; Yanjie Fu; Yuan Ge (SDM, 2015)

Information Coverage Maximization in Social Networks. - Zhefeng Wang 001; Enhong Chen; Qi Liu 003; Yu Yang 001; Yong Ge 001; Biao Chang (CoRR, 2015)

Popularity Modeling for Mobile Apps: A Sequential Approach. - Hengshu Zhu; Chuanren Liu; Yong Ge 001; Hui Xiong 001; Enhong Chen (IEEE Trans. Cybern., 2015)

Discovery of Ranking Fraud for Mobile Apps. - Hengshu Zhu; Hui Xiong 001; Yong Ge 001; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2015)

Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. - Le Wu; Yong Ge 001; Qi Liu 003; Enhong Chen; Bai Long; Zhenya Huang (AAAI, 2016)

Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. - Ming He; Yong Ge 001; Le Wu; Enhong Chen; Chang Tan (DASFAA (2), 2016)

Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. - Defu Lian; Zhenyu Zhang; Yong Ge 001; Fuzheng Zhang; Nicholas Jing Yuan; Xing Xie 001 (ICDM, 2016)

Group Preference Aggregation: A Nash Equilibrium Approach. - Hongke Zhao; Qi Liu 003; Yong Ge 001; Ruoyan Kong; Enhong Chen (ICDM, 2016)

A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback. - Huayu Li; Richang Hong; Defu Lian; Zhiang Wu 001; Meng Wang 001; Yong Ge 001 (IJCAI, 2016)

Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. - Defu Lian; Yong Ge 001; Nicholas Jing Yuan; Xing Xie 001; Hui Xiong 001 (IJCAI, 2016)

Point-of-Interest Recommendations: Learning Potential Check-ins from Friends. - Huayu Li; Yong Ge 001; Richang Hong; Hengshu Zhu (KDD, 2016)

Portfolio Selections in P2P Lending: A Multi-Objective Perspective. - Hongke Zhao; Qi Liu 003; Guifeng Wang; Yong Ge 001; Enhong Chen (KDD, 2016)

Days on Market: Measuring Liquidity in Real Estate Markets. - Hengshu Zhu; Hui Xiong 001; Fangshuang Tang; Qi Liu 003; Yong Ge 001; Enhong Chen; Yanjie Fu (KDD, 2016)

A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation. - Huayu Li; Richang Hong; Zhiang Wu 001; Yong Ge 001 (SDM, 2016)

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. - Yi Zheng 007; Qi Liu 003; Enhong Chen; Yong Ge 001; J. Leon Zhao (Frontiers Comput. Sci., 2016)

Tracking the evolution of social emotions with topic models. - Chen Zhu 003; Hengshu Zhu; Yong Ge 001; Enhong Chen; Qi Liu 003; Tong Xu 001; Hui Xiong 001 (Knowl. Inf. Syst., 2016)

Modeling of Geographic Dependencies for Real Estate Ranking. - Yanjie Fu; Hui Xiong 001; Yong Ge 001; Yu Zheng 004; Zijun Yao 001; Zhi-Hua Zhou (ACM Trans. Knowl. Discov. Data, 2016)

Identifying Serendipitous Drug Usages in Patient Forum Data - A Feasibility Study. - Boshu Ru; Charles Warner-Hillard; Yong Ge 001; Lixia Yao (HEALTHINF, 2017)

Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. - Huayu Li; Yong Ge 001; Defu Lian; Hao Liu 082 (IJCAI, 2017)

Prospecting the Career Development of Talents: A Survival Analysis Perspective. - Huayu Li; Yong Ge 001; Hengshu Zhu; Hui Xiong 001; Hongke Zhao (KDD, 2017)

A Context-aware Attention Network for Interactive Question Answering. - Huayu Li; Martin Renqiang Min; Yong Ge 001; Asim Kadav (KDD, 2017)

Discrete Content-aware Matrix Factorization. - Defu Lian; Rui Liu 019; Yong Ge 001; Kai Zheng 001; Xing Xie 001; Longbing Cao (KDD, 2017)

Tracking the Dynamics in Crowdfunding. - Hongke Zhao; Hefu Zhang; Yong Ge 001; Qi Liu 003; Enhong Chen; Huayu Li; Le Wu (KDD, 2017)

P2P Lending Survey: Platforms, Recent Advances and Prospects. - Hongke Zhao; Yong Ge 001; Qi Liu 003; Guifeng Wang; Enhong Chen; Hefu Zhang (ACM Trans. Intell. Syst. Technol., 2017)

User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective. - Richang Hong; Chuan He; Yong Ge 001; Meng Wang 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2017)

A Proactive Workflow Model for Healthcare Operation and Management. - Chuanren Liu; Hui Xiong 001; Spiros Papadimitriou; Yong Ge 001; Keli Xiao (IEEE Trans. Knowl. Data Eng., 2017)

Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. - Le Wu; Yong Ge 001; Qi Liu 003; Enhong Chen; Richang Hong; Junping Du 001; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2017)

An efficient data processing framework for mining the massive trajectory of moving objects. - Yuanchun Zhou; Yang Zhang; Yong Ge 001; Zhenghua Xue; Yanjie Fu; Danhuai Guo; Jing Shao; Tiangang Zhu; Xuezhi Wang 004; Jianhui Li (Comput. Environ. Urban Syst., 2017)

Mobile Sequential Recommendation. - Yong Ge 001 (Encyclopedia of GIS, 2017)

Single Low-Light Image Enhancement by Fusing Multiple Sources. - Zhuang Feng; Zhiyuan Zhou; Richang Hong; Shijie Hao; Yong Ge 001; Meng Wang 001 (BigMM, 2018)

A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. - Xi Liu 011; Muhe Xie; Xidao Wen; Rui Chen 012; Yong Ge 001; Nick Duffield; Na Wang (ICDM, 2018)

High-order Proximity Preserving Information Network Hashing. - Defu Lian; Kai Zheng 001; Vincent W. Zheng; Yong Ge 001; Longbing Cao; Ivor W. Tsang; Xing Xie 001 (KDD, 2018)

Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm. - Zeyang Ye; Lihao Zhang; Keli Xiao; Wenjun Zhou 001; Yong Ge 001; Yuefan Deng (KDD, 2018)

Understand and Assess People's Procrastination by Mining Computer Usage Log. - Ming He; Yan Chen; Qi Liu 003; Yong Ge 001; Enhong Chen; Guiquan Liu; Lichao Liu; Xin Li 064 (KSEM (1), 2018)

Explainable Social Contextual Image Recommendation with Hierarchical Attention. - Le Wu; Yong Ge 001; Qi Liu 003; Enhong Chen; Richang Hong; Meng Wang 001; Junping Du 001 (CoRR, 2018)

Scalable Content-Aware Collaborative Filtering for Location Recommendation. - Defu Lian; Yong Ge 001; Fuzheng Zhang; Nicholas Jing Yuan; Xing Xie 001; Tao Zhou 001; Yong Rui (IEEE Trans. Knowl. Data Eng., 2018)

Product Adoption Rate Prediction in a Competitive Market. - Le Wu; Qi Liu 003; Richang Hong; Enhong Chen; Yong Ge 001; Xing Xie 001; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2018)

GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. - Defu Lian; Kai Zheng 001; Yong Ge 001; Longbing Cao; Enhong Chen; Xing Xie 001 (ACM Trans. Inf. Syst., 2018)

A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending. - Hongke Zhao; Qi Liu 003; Hengshu Zhu; Yong Ge 001; Enhong Chen; Yan Zhu 010; Junping Du 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Exploring the Emerging Type of Comment for Online Videos: DanMu. - Ming He; Yong Ge 001; Enhong Chen; Qi Liu 003; Xuesong Wang 001 (ACM Trans. Web, 2018)

Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. - Binbin Jin; Hongke Zhao; Enhong Chen; Qi Liu 003; Yong Ge 001 (AAAI, 2019)

A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. - Xianshan Qu; Li Li 035; Xi Liu 011; Rui Chen 012; Yong Ge 001; Soo-Hyun Choi (IEEE BigData, 2019)

Binarized Collaborative Filtering with Distilling Graph Convolutional Network. - Haoyu Wang 004; Defu Lian; Yong Ge 001 (IJCAI, 2019)

Personalized Multimedia Item and Key Frame Recommendation. - Le Wu; Lei Chen 051; Yonghui Yang 001; Richang Hong; Yong Ge 001; Xing Xie 001; Meng Wang 001 (IJCAI, 2019)

Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. - Haoyu Wang 004; Defu Lian; Yong Ge 001 (CoRR, 2019)

Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. - Yanjie Fu; Guannan Liu 004; Yong Ge 001; Pengyang Wang; Hengshu Zhu; Chunxiao Li 003; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2019)

Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation. - Zeyang Ye; Keli Xiao; Yong Ge 001; Yuefan Deng (IEEE Trans. Knowl. Data Eng., 2019)

Explainable Recommender Systems via Resolving Learning Representations. - Ninghao Liu 001; Yong Ge 001; Li Li 035; Xia Hu 001; Rui Chen 012; Soo-Hyun Choi (CIKM, 2020)

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Pengyang Wang; Yong Ge 001; Yanjie Fu (ICDM, 2020)

Geography-Aware Sequential Location Recommendation. - Defu Lian; Yongji Wu; Yong Ge 001; Xing Xie 001; Enhong Chen (KDD, 2020)

Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. - Xi Liu 011; Li Li 035; Ping-Chun Hsieh; Muhe Xie; Yong Ge 001; Rui Chen 012 (CoRR, 2020)

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. - Yanan Wang 004; Yong Ge 001; Li Li 035; Rui Chen 012; Tong Xu 001 (CoRR, 2020)

Leveraging proficiency and preference for online Karaoke recommendation. - Ming He; Hao Guo 016; Guangyi Lv; Le Wu; Yong Ge 001; Enhong Chen; Haiping Ma (Frontiers Comput. Sci., 2020)

E-WOM's Impact on App Development. - Peiqin Zhang; Yong Ge 001; Hsun-Ming Lee (J. Comput. Inf. Syst., 2020)

Micro- and macro-level churn analysis of large-scale mobile games. - Xi Liu 011; Muhe Xie; Xidao Wen; Rui Chen 012; Yong Ge 001; Nick Duffield; Na Wang (Knowl. Inf. Syst., 2020)

Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization. - Lei Chen 079; Zhiang Wu 001; Jie Cao 001; Guixiang Zhu; Yong Ge 001 (ACM Trans. Intell. Syst. Technol., 2020)

A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. - Junwei Li 011; Le Wu; Richang Hong; Kun Zhang 015; Yong Ge 001; Yan Li 068 (ACM Trans. Intell. Syst. Technol., 2020)

Multi-User Mobile Sequential Recommendation for Route Optimization. - Keli Xiao; Zeyang Ye; Lihao Zhang; Wenjun Zhou 001; Yong Ge 001; Yuefan Deng (ACM Trans. Knowl. Discov. Data, 2020)

Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. - Hongke Zhao; Binbin Jin; Qi Liu 003; Yong Ge 001; Enhong Chen; Xi Zhang 009; Tong Xu 001 (IEEE Trans. Knowl. Data Eng., 2020)

On Scalability of Association-rule-based Recommendation: A Unified Distributed-computing Framework. - Zhiang Wu 001; Changsheng Li; Jie Cao 001; Yong Ge 001 (ACM Trans. Web, 2020)

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. - Dan Lu 004; Le Wu; Rui Chen 012; Qilong Han; Yichen Wang; Yong Ge 001 (APWeb/WAIM (2), 2021)

Online Additive Quantization. - Qi Liu 003; Jin Zhang 035; Defu Lian; Yong Ge 001; Jianhui Ma 001; Enhong Chen (KDD, 2021)

Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. - Chenwang Wu; Defu Lian; Yong Ge 001; Zhihao Zhu 002; Enhong Chen (KDD, 2021)

Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. - Chenwang Wu; Defu Lian; Yong Ge 001; Zhihao Zhu 002; Enhong Chen; Senchao Yuan (SIGIR, 2021)

What Will Be Popular Next? Predicting Hotspots in Two-Mode Social Networks. - Zhepeng (Lionel) Li; Yong Ge 001; Xue Bai (MIS Q., 2021)

Route Recommendations for Intelligent Transportation Services. - Yong Ge 001; Huayu Li; Alexander Tuzhilin (IEEE Trans. Knowl. Data Eng., 2021)

Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach. - Yong Ge 001; Zijun Yao 001; Huayu Li (IEEE Trans. Knowl. Data Eng., 2021)

Deep Attributed Network Embedding by Preserving Structure and Attribute Information. - Richang Hong; Yuan He 011; Le Wu; Yong Ge 001; Xindong Wu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Collaborative Neural Social Recommendation. - Le Wu; Peijie Sun; Richang Hong; Yong Ge 001; Meng Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. - Weijia Zhang 003; Hao Liu 026; Jindong Han; Yong Ge 001; Hui Xiong 001 (KDD, 2022)

Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. - Chuang Zhao 002; Hongke Zhao; Yong Ge 001; Runze Wu 001; Xudong Shen (WWW, 2022)

CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency. - Weichao Liang; Zhiang Wu 001; Zhe Li 039; Yong Ge 001 (ACM Trans. Intell. Syst. Technol., 2022)

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. - Le Wu; Junwei Li 011; Peijie Sun; Richang Hong; Yong Ge 001; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. - Wuchao Li; Chao Feng 008; Defu Lian; Yuxin Xie; Haifeng Liu 004; Yong Ge 001; Enhong Chen (KDD, 2023)

The 4th International Workshop on Talent and Management Computing (TMC'2023). - Hengshu Zhu; Hui Xiong 001; Yong Ge 001; Ee-Peng Lim (KDD, 2023)

Knowledge Distillation for High Dimensional Search Index. - Zepu Lu; Jin Chen 008; Defu Lian; Zaixi Zhang; Yong Ge 001; Enhong Chen (NeurIPS, 2023)

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Yong Ge 001; Hui Xiong 001; Yanjie Fu (IEEE Trans. Knowl. Data Eng., 2023)

Network Representation Lightening From Hashing to Quantization. - Defu Lian; Zhihao Zhu 002; Kai Zheng 001; Yong Ge 001; Xing Xie 001; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

Job and Employee Embeddings: A Joint Deep Learning Approach. - Hao Liu 082; Yong Ge 001 (IEEE Trans. Knowl. Data Eng., 2023)

Influence-Driven Data Poisoning for Robust Recommender Systems. - Chenwang Wu; Defu Lian; Yong Ge 001; Zhihao Zhu 002; Enhong Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks. - Shengming Zhang; Hao Zhong 002; Yong Ge 001; Hui Xiong 001 (HICSS, 2024)

The 5th International Workshop on Talent and Management Computing (TMC'2024). - Hengshu Zhu; Yong Ge 001; Hui Xiong 001; Ee-Peng Lim (KDD, 2024)

Enhance Knowledge Graph Embedding by Mixup. - Tianyang Xie; Yong Ge 001 (IEEE Trans. Knowl. Data Eng., 2024)

Boosting Factorization Machines via Saliency-Guided Mixup. - Chenwang Wu; Defu Lian; Yong Ge 001; Min Zhou 006; Enhong Chen; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Attacking Social Media via Behavior Poisoning. - Chenwang Wu; Defu Lian; Yong Ge 001; Min Zhou 006; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2024)

M3Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation. - Yanan Wang 004; Yong Ge 001; Zhepeng Li; Li Li 035; Rui Chen 012 (ACM Trans. Inf. Syst., 2024)

The 6th International Workshop on Talent and Management Computing (TMC 2025). - Hengshu Zhu; Yong Ge 001; Hui Xiong 001; Ee-Peng Lim (KDD (2), 2025)

Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect. - Hao Liu 082; Yong Ge 001 (CoRR, 2025)

Where is the Next Step? Predicting the Scientific Impact of Research Career. - Hefu Zhang; Yong Ge 001; Yan Zhuang 001; Enhong Chen (IEEE Trans. Big Data, 2025)

Accuracy, Fairness, Diversity All at Once: An Influence-Function-Guided Data Enhancement Approach for Recommender System. - Tianyang Xie; Yong Ge 001; Shuojia Guo (ACM Trans. Knowl. Discov. Data, 2025)

Learning to Hash Knowledge Graph: Element-wise Rotation. - Yeshuai He; Jianqiang Cheng; Yong Ge 001 (ACM Trans. Intell. Syst. Technol., 2025)