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Haiping Ma
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Publications
- 2023
- [j39]Jia-Yu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, En-Hong Chen, Yu Su:
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems. J. Comput. Sci. Technol. 38(6): 1203-1222 (2023) - 2021
- [c20]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [i4]Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang:
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. CoRR abs/2101.05986 (2021) - 2020
- [j23]Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma:
Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. 14(2): 273-290 (2020) - [j21]Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu:
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. ACM Trans. Inf. Syst. 38(2): 19:1-19:33 (2020) - [c18]Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang:
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. ICDM 2020: 42-51 - [c17]Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang:
Structure-based Knowledge Tracing: An Influence Propagation View. ICDM 2020: 541-550 - [c15]Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang:
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. SIGIR 2020: 1857-1860 - 2019
- [c14]Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu:
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. CIKM 2019: 2397-2400 - [c13]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. KDD 2019: 627-635 - [i1]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. CoRR abs/1905.12470 (2019) - 2017
- [c10]Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen:
An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers. CIKM 2017: 2119-2122 - 2016
- [c8]Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin:
Sparse Factorization Machines for Click-through Rate Prediction. ICDM 2016: 400-409 - 2015
- [c7]Yifan Sun, Xin Li, Lin Li, Qi Liu, Enhong Chen, Haiping Ma:
Mining User's Location Intention from Mobile Search Log. KSEM 2015: 407-420 - 2013
- [j7]Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong:
A Survey of Context-Aware Mobile Recommendations. Int. J. Inf. Technol. Decis. Mak. 12(1): 139-172 (2013) - [c6]Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Haiping Ma, Jingsong Lv, Guoping Hu:
Random Walk with Pre-filtering for Social Link Prediction. CIS 2013: 139-143 - 2012
- [j5]Haiping Ma, Enhong Chen, Linli Xu, Hui Xiong:
Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning. Neurocomputing 92: 116-123 (2012) - [c4]Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian:
A habit mining approach for discovering similar mobile users. WWW 2012: 231-240 - 2011
- [j2]Enhong Chen, Yanggang Lin, Hui Xiong, Qiming Luo, Haiping Ma:
Exploiting probabilistic topic models to improve text categorization under class imbalance. Inf. Process. Manag. 47(2): 202-214 (2011)
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