Erheng Zhong

According to our database, Erheng Zhong authored at least 34 papers between 2008 and 2024.

Collaborative distances:

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

2024

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.

Zizhu Liu, Qing Cao, Nan Du, Huizhen Shu, Erheng Zhong, Nan Jiang, Qiaoran Chen, Ying Shen, Kang Chen

Artif. Intell. Medicine, January, 2024

2021

FM-ECG: A fine-grained multi-label framework for ECG image classification.

Nan Du, Qing Cao, Li Yu, Nathan Liu, Erheng Zhong, Zizhu Liu, Ying Shen, Kang Chen

Inf. Sci., 2021

Practical fine-grained learning based anomaly classification for ECG image.

Qing Cao, Nan Du, Li Yu, Ming Zuo, Jingsheng Lin, Nathan Liu, Erheng Zhong, Zizhu Liu, Qiaoran Chen, Ying Shen, Kang Chen

Artif. Intell. Medicine, 2021

2016

The Apps You Use Bring The Blogs to Follow.

Yue Shi, Erheng Zhong, Suju Rajan, Liang Dong, Hao-wei Tseng, Beitao Li

CoRR, 2016

Scaling Factorization Machines with Parameter Server.

Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Geometry Aware Mappings for High Dimensional Sparse Factors.

Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Building Discriminative User Profiles for Large-scale Content Recommendation.

Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan

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

Transitive Transfer Learning.

Ben Tan, Yangqiu Song, Erheng Zhong, Qiang Yang

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

2014

User behavior learning and transfer in composite social networks.

Erheng Zhong, Wei Fan, Qiang Yang

ACM Trans. Knowl. Discov. Data, 2014

Multi-transfer: Transfer learning with multiple views and multiple sources.

Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang

Stat. Anal. Data Min., 2014

Friendship Prediction in Composite Social Networks.

Erheng Zhong, Evan Wei Xiang, Wei Fan, Nathan Nan Liu, Qiang Yang

CoRR, 2014

Adaptive User Distance Modeling in Social Media.

Erheng Zhong, Wei Fan, Qiang Yang

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

Mixed-Transfer: Transfer Learning over Mixed Graphs.

Ben Tan, Erheng Zhong, Michael K. Ng, Qiang Yang

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

Beyond clicks: dwell time for personalization.

Xing Yi, Liangjie Hong, Erheng Zhong, Nathan Nan Liu, Suju Rajan

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning.

Bin Wu, Erheng Zhong, Andrew Horner, Qiang Yang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Crowdsourced time-sync video tagging using temporal and personalized topic modeling.

Bin Wu, Erheng Zhong, Ben Tan, Andrew Horner, Qiang Yang

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

2013

Feature engineering for semantic place prediction.

Yin Zhu, Erheng Zhong, Zhongqi Lu, Qiang Yang

Pervasive Mob. Comput., 2013

User demographics prediction based on mobile data.

Erheng Zhong, Ben Tan, Kaixiang Mo, Qiang Yang

Pervasive Mob. Comput., 2013

Selective Transfer Learning for Cross Domain Recommendation.

Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

SMART: Semi-Supervised Music Emotion Recognition with Social Tagging.

Andrew Horner, Derek Hao Hu, Bin Wu, Qiang Yang, Erheng Zhong

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Contextual rule-based feature engineering for author-paper identification.

Erheng Zhong, Lianghao Li, Naiyan Wang, Ben Tan, Yin Zhu, Lili Zhao, Qiang Yang

Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Modeling the dynamics of composite social networks.

Erheng Zhong, Wei Fan, Yin Zhu, Qiang Yang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Cross-task crowdsourcing.

Kaixiang Mo, Erheng Zhong, Qiang Yang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Predicting user activity level in social networks.

Yin Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, Qiang Yang

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

Active Transfer Learning for Cross-System Recommendation.

Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Contextual Collaborative Filtering via Hierarchical Matrix Factorization.

Erheng Zhong, Wei Fan, Qiang Yang

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

ComSoc: adaptive transfer of user behaviors over composite social network.

Erheng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong Li

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Discovering Spammers in Social Networks.

Yin Zhu, Xiao Wang, Erheng Zhong, Nathan Nan Liu, He Li, Qiang Yang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Transfer Learning for Text Mining.

Weike Pan, Erheng Zhong, Qiang Yang

Proceedings of the Mining Text Data, 2012

2010

Generalized and Heuristic-Free Feature Construction for Improved Accuracy.

Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang

Proceedings of the SIAM International Conference on Data Mining, 2010

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning.

Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Universal Learning over Related Distributions and Adaptive Graph Transduction.

Erheng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Cross domain distribution adaptation via kernel mapping.

Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure

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

2008

Graph-Based Iterative Hybrid Feature Selection.

ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008