Graph-Based Iterative Hybrid Feature Selection. - ErHeng Zhong; Sihong Xie; Wei Fan 001; Jiangtao Ren; Jing Peng 001; Kun Zhang 012 (ICDM, 2008)

Cross domain distribution adaptation via kernel mapping. - Erheng Zhong; Wei Fan 001; Jing Peng 001; Kun Zhang 012; Jiangtao Ren; Deepak S. Turaga; Olivier Verscheure (KDD, 2009)

Universal Learning over Related Distributions and Adaptive Graph Transduction. - Erheng Zhong; Wei Fan 001; Jing Peng 001; Olivier Verscheure; Jiangtao Ren (ECML/PKDD (2), 2009)

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning. - Erheng Zhong; Wei Fan 001; Qiang Yang 001; Olivier Verscheure; Jiangtao Ren (ECML/PKDD (3), 2010)

Generalized and Heuristic-Free Feature Construction for Improved Accuracy. - Wei Fan 001; Erheng Zhong; Jing Peng 001; Olivier Verscheure; Kun Zhang 012; Jiangtao Ren; Rong Yan; Qiang Yang 001 (SDM, 2010)

Transfer Learning for Text Mining. - Weike Pan; Erheng Zhong; Qiang Yang 001 (Mining Text Data, 2012)

Discovering Spammers in Social Networks. - Yin Zhu; Xiao Wang 018; Erheng Zhong; Nathan Nan Liu; He Li; Qiang Yang 001 (AAAI, 2012)

ComSoc: adaptive transfer of user behaviors over composite social network. - Erheng Zhong; Wei Fan 001; Junwei Wang; Lei Xiao; Yong Li 038 (KDD, 2012)

Contextual Collaborative Filtering via Hierarchical Matrix Factorization. - Erheng Zhong; Wei Fan 001; Qiang Yang 001 (SDM, 2012)

Active Transfer Learning for Cross-System Recommendation. - Lili Zhao; Sinno Jialin Pan; Evan Wei Xiang; Erheng Zhong; Zhongqi Lu; Qiang Yang 001 (AAAI, 2013)

Predicting user activity level in social networks. - Yin Zhu; Erheng Zhong; Sinno Jialin Pan; Xiao Wang 018; Minzhe Zhou; Qiang Yang 001 (CIKM, 2013)

Cross-task crowdsourcing. - Kaixiang Mo; Erheng Zhong; Qiang Yang 001 (KDD, 2013)

Modeling the dynamics of composite social networks. - Erheng Zhong; Wei Fan 001; Yin Zhu; Qiang Yang 001 (KDD, 2013)

Contextual rule-based feature engineering for author-paper identification. - Erheng Zhong; Lianghao Li; Naiyan Wang; Ben Tan; Yin Zhu; Lili Zhao; Qiang Yang 001 (KDD Cup, 2013)

SMART: Semi-Supervised Music Emotion Recognition with Social Tagging. - Andrew Horner; Derek Hao Hu; Bin Wu 013; Qiang Yang 001; Erheng Zhong (SDM, 2013)

Selective Transfer Learning for Cross Domain Recommendation. - Zhongqi Lu; Weike Pan; Evan Wei Xiang; Qiang Yang 001; Lili Zhao; Erheng Zhong (SDM, 2013)

User demographics prediction based on mobile data. - Erheng Zhong; Ben Tan; Kaixiang Mo; Qiang Yang 001 (Pervasive Mob. Comput., 2013)

Feature engineering for semantic place prediction. - Yin Zhu; Erheng Zhong; Zhongqi Lu; Qiang Yang 001 (Pervasive Mob. Comput., 2013)

Crowdsourced time-sync video tagging using temporal and personalized topic modeling. - Bin Wu 013; Erheng Zhong; Ben Tan; Andrew Horner; Qiang Yang 001 (KDD, 2014)

Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning. - Bin Wu 013; Erheng Zhong; Andrew Horner; Qiang Yang 001 (ACM Multimedia, 2014)

Beyond clicks: dwell time for personalization. - Xing Yi; Liangjie Hong; Erheng Zhong; Nathan Nan Liu; Suju Rajan (RecSys, 2014)

Mixed-Transfer: Transfer Learning over Mixed Graphs. - Ben Tan; Erheng Zhong; Michael K. Ng 001; Qiang Yang 001 (SDM, 2014)

Adaptive User Distance Modeling in Social Media. - Erheng Zhong; Wei Fan 001; Qiang Yang 001 (SDM, 2014)

Friendship Prediction in Composite Social Networks. - Erheng Zhong; Evan Wei Xiang; Wei Fan 001; Nathan Nan Liu; Qiang Yang 001 (CoRR, 2014)

Multi-transfer: Transfer learning with multiple views and multiple sources. - Ben Tan; Erheng Zhong; Evan Wei Xiang; Qiang Yang 001 (Stat. Anal. Data Min., 2014)

User behavior learning and transfer in composite social networks. - Erheng Zhong; Wei Fan 001; Qiang Yang 001 (ACM Trans. Knowl. Discov. Data, 2014)

Transitive Transfer Learning. - Ben Tan; Yangqiu Song; Erheng Zhong; Qiang Yang 001 (KDD, 2015)

Building Discriminative User Profiles for Large-scale Content Recommendation. - Erheng Zhong; Nathan Liu; Yue Shi 002; Suju Rajan (KDD, 2015)

Geometry Aware Mappings for High Dimensional Sparse Factors. - Avradeep Bhowmik; Nathan Liu; Erheng Zhong; Badri Narayan Bhaskar; Suju Rajan (AISTATS, 2016)

Scaling Factorization Machines with Parameter Server. - Erheng Zhong; Yue Shi 002; Nathan Liu; Suju Rajan (CIKM, 2016)

The Apps You Use Bring The Blogs to Follow. - Yue Shi 002; Erheng Zhong; Suju Rajan; Liang Dong; Hao-wei Tseng; Beitao Li (CoRR, 2016)

Practical fine-grained learning based anomaly classification for ECG image. - Qing Cao; Nan Du 001; Li Yu; Ming Zuo; Jingsheng Lin; Nathan Liu; Erheng Zhong; Zizhu Liu; Qiaoran Chen; Ying Shen 001; Kang Chen (Artif. Intell. Medicine, 2021)

FM-ECG: A fine-grained multi-label framework for ECG image classification. - Nan Du 001; Qing Cao; Li Yu; Nathan Liu; Erheng Zhong; Zizhu Liu; Ying Shen 001; Kang Chen (Inf. Sci., 2021)

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis. - Zizhu Liu; Qing Cao; Nan Du 001; Huizhen Shu; Erheng Zhong; Nan Jiang; Qiaoran Chen; Ying Shen 001; Kang Chen (Artif. Intell. Medicine, 2024)