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2020 – today
- 2024
[j7]Zizhu Liu, Qing Cao, Nan Du, Huizhen Shu, Erheng Zhong, Nan Jiang, Qiaoran Chen, Ying Shen, Kang Chen:
FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis. Artif. Intell. Medicine 147: 102735 (2024)- 2021
- [j6]Qing Cao, Nan Du, Li Yu, Ming Zuo, Jingsheng Lin, Nathan Liu, Erheng Zhong, Zizhu Liu, Qiaoran Chen, Ying Shen, Kang Chen:
Practical fine-grained learning based anomaly classification for ECG image. Artif. Intell. Medicine 119: 102130 (2021) - [j5]Nan Du, Qing Cao, Li Yu, Nathan Liu, Erheng Zhong, Zizhu Liu, Ying Shen
, Kang Chen:
FM-ECG: A fine-grained multi-label framework for ECG image classification. Inf. Sci. 549: 164-177 (2021)
2010 – 2019
- 2016
- [c25]Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan:
Geometry Aware Mappings for High Dimensional Sparse Factors. AISTATS 2016: 455-463 - [c24]Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan:
Scaling Factorization Machines with Parameter Server. CIKM 2016: 1583-1592 - [i4]Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan:
Geometry Aware Mappings for High Dimensional Sparse Factors. CoRR abs/1605.04764 (2016) - [i3]Yue Shi, Erheng Zhong, Suju Rajan, Liang Dong, Hao-wei Tseng, Beitao Li:
The Apps You Use Bring The Blogs to Follow. CoRR abs/1606.08406 (2016) - 2015
- [c23]Ben Tan, Yangqiu Song, Erheng Zhong, Qiang Yang:
Transitive Transfer Learning. KDD 2015: 1155-1164 - [c22]Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan:
Building Discriminative User Profiles for Large-scale Content Recommendation. KDD 2015: 2277-2286 - 2014
- [j4]Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang:
Multi-transfer: Transfer learning with multiple views and multiple sources. Stat. Anal. Data Min. 7(4): 282-293 (2014) - [j3]Erheng Zhong, Wei Fan, Qiang Yang:
User behavior learning and transfer in composite social networks. ACM Trans. Knowl. Discov. Data 8(1): 6:1-6:32 (2014) - [c21]Bin Wu, Erheng Zhong, Ben Tan, Andrew Horner, Qiang Yang:
Crowdsourced time-sync video tagging using temporal and personalized topic modeling. KDD 2014: 721-730 - [c20]Bin Wu, Erheng Zhong, Andrew Horner, Qiang Yang:
Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning. ACM Multimedia 2014: 117-126 - [c19]Xing Yi, Liangjie Hong, Erheng Zhong, Nathan Nan Liu, Suju Rajan:
Beyond clicks: dwell time for personalization. RecSys 2014: 113-120 - [c18]Ben Tan, Erheng Zhong, Michael K. Ng, Qiang Yang:
Mixed-Transfer: Transfer Learning over Mixed Graphs. SDM 2014: 208-216 - [c17]Erheng Zhong, Wei Fan, Qiang Yang:
Adaptive User Distance Modeling in Social Media. SDM 2014: 316-324 - [i2]Erheng Zhong, Evan Wei Xiang, Wei Fan, Nathan Nan Liu, Qiang Yang:
Friendship Prediction in Composite Social Networks. CoRR abs/1402.4033 (2014) - 2013
- [j2]Yin Zhu, Erheng Zhong, Zhongqi Lu, Qiang Yang:
Feature engineering for semantic place prediction. Pervasive Mob. Comput. 9(6): 772-783 (2013) - [j1]Erheng Zhong, Ben Tan, Kaixiang Mo, Qiang Yang:
User demographics prediction based on mobile data. Pervasive Mob. Comput. 9(6): 823-837 (2013) - [c16]Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang:
Active Transfer Learning for Cross-System Recommendation. AAAI 2013: 1205-1211 - [c15]Yin Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, Qiang Yang:
Predicting user activity level in social networks. CIKM 2013: 159-168 - [c14]Erheng Zhong, Lianghao Li, Naiyan Wang, Ben Tan, Yin Zhu, Lili Zhao, Qiang Yang:
Contextual rule-based feature engineering for author-paper identification. KDD Cup 2013: 6:1-6:6 - [c13]Kaixiang Mo, Erheng Zhong, Qiang Yang:
Cross-task crowdsourcing. KDD 2013: 677-685 - [c12]Erheng Zhong, Wei Fan, Yin Zhu, Qiang Yang:
Modeling the dynamics of composite social networks. KDD 2013: 937-945 - [c11]Ben Tan, Evan Wei Xiang, Qiang Yang, Erheng Zhong:
Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources. SDM 2013: 243-251 - [c10]Andrew Horner, Derek Hao Hu, Bin Wu, Qiang Yang, Erheng Zhong:
SMART: Semi-Supervised Music Emotion Recognition with Social Tagging. SDM 2013: 279-287 - [c9]Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong:
Selective Transfer Learning for Cross Domain Recommendation. SDM 2013: 641-649 - 2012
- [c8]Yin Zhu, Xiao Wang, Erheng Zhong, Nathan Nan Liu, He Li, Qiang Yang:
Discovering Spammers in Social Networks. AAAI 2012: 171-177 - [c7]Erheng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong Li:
ComSoc: adaptive transfer of user behaviors over composite social network. KDD 2012: 696-704 - [c6]Erheng Zhong, Wei Fan, Qiang Yang:
Contextual Collaborative Filtering via Hierarchical Matrix Factorization. SDM 2012: 744-755 - [p1]Weike Pan, Erheng Zhong, Qiang Yang:
Transfer Learning for Text Mining. Mining Text Data 2012: 223-257 - [i1]Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Wei Xiang, Weike Pan, Qiang Yang:
Selective Transfer Learning for Cross Domain Recommendation. CoRR abs/1210.7056 (2012) - 2010
- [c5]Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren:
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning. ECML/PKDD (3) 2010: 547-562 - [c4]Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang:
Generalized and Heuristic-Free Feature Construction for Improved Accuracy. SDM 2010: 629-640
2000 – 2009
- 2009
- [c3]Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure:
Cross domain distribution adaptation via kernel mapping. KDD 2009: 1027-1036 - [c2]Erheng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren:
Universal Learning over Related Distributions and Adaptive Graph Transduction. ECML/PKDD (2) 2009: 678-693 - 2008
- [c1]ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang:
Graph-Based Iterative Hybrid Feature Selection. ICDM 2008: 1133-1138
Coauthor Index
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