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Shenggen Ju
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2020 – today
- 2024
- [j13]Rongmei Zhao, Li Chen
, Siyu Sun, Jian Peng, Shenggen Ju
Data Collaborative Contrastive Recommendation model with self-adaptive noise. Expert Syst. Appl. 256: 124899 (2024) - [j12]Rongmei Zhao, Li Chen, Siyu Sun, Jian Peng, Shenggen Ju:
Corrigendum to "Data Collaborative Contrastive Recommendation model with self-adaptive noise" [Expert Syst. Appl. 256 (2024) 124899]. Expert Syst. Appl. 258: 125281 (2024) - [j11]Yong Liu, Shenggen Ju, Junfeng Wang:
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences. BMC Medical Informatics Decis. Mak. 24(1): 75 (2024) - [c14]Yujie Wan, Tianyu Cai, Yilin Li, Shenggen Ju:
Aspect-Based Sentiment Classification Model Based on Multi-view Information Fusion. WISA 2024: 16-28 - [c13]Siyu Sun, Tianyu Cai, Fanli Yan, Shenggen Ju:
Two-Stage Enhancement for Recommendation Systems Based on Contrastive Learning. WISA 2024: 150-162 - [c12]Meiwen Li, Tianyu Cai, Lingyan Wu, Li Chen, Shenggen Ju:
Integrating Syntax Tree and Graph Neural Network for Conversational Question Answering over Heterogeneous Sources. NLPCC (1) 2024: 83-96 - [c11]Jingjing Zhu, Tianyu Cai, Zhenyu Zhao, Shenggen Ju:
Chinese Named Entity Recognition Based on Template and Contrastive Learning. NLPCC (1) 2024: 392-405 - 2023
- [j10]Yuhui Zhang, Li Chen, Shenggen Ju, Gaoshuo Liu:
Multi-domain adaptation for cross-domain semantic slot filling. Eng. Appl. Artif. Intell. 123(Part B): 106364 (2023) - [c10]Hang Deng, Yilin Li, Shenggen Ju, Mengzhu Liu:
Combines Contrastive Learning and Primary Capsule Encoder for Target Sentiment Classification. WISA 2023: 284-296 - 2022
- [j9]Mengshi Li, Jian Peng, Shenggen Ju, Quanhui Liu, Hongyou Li, Weifa Liang, Jeffrey Xu Yu, Wenzheng Xu:
Efficient algorithms for finding diversified top-k structural hole spanners in social networks. Inf. Sci. 602: 236-258 (2022) - [c9]Yilin Li, Dechen Gao, Yuezhong Liu, Shenggen Ju:
Emotion Cause Pair Extraction Based on Multitask. WISA 2022: 366-379 - [c8]Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun:
Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference. CIKM 2022: 2701-2710 - 2021
- [j8]Rongmei Zhao
Erratum to "A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks". Complex. 2021: 5323421:1-5323421:1 (2021) - [c7]Gaoshuo Liu, Shenggen Ju, Yu Chen:
Binary Label-Aware Transfer Learning for Cross-Domain Slot Filling. ICONIP (2) 2021: 359-368 - 2020
- [j7]Chaofan Wang
Adaptive Feature Extractor of Global Representation and Local Semantics for Text Classification. IEEE Access 8: 202687-202695 (2020) - [j6]Rongmei Zhao
A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks. Complex. 2020: 9071624:1-9071624:13 (2020) - [j5]Xi Xiong, Yuanyuan Li
DGI: Recognition of Textual Entailment via dynamic gate Matching. Knowl. Based Syst. 194: 105544 (2020) - [c6]Xiaohui Li, Yuezhong Liu, Shenggen Ju, Zhengwen Xie:
Dynamic Reasoning Network for Multi-hop Question Answering. NLPCC (1) 2020: 29-40 - [c5]Hangjie Shen, Shenggen Ju, Jieping Sun, Run Chen, Yuezhong Liu:
Efficient Lifelong Relation Extraction with Dynamic Regularization. NLPCC (2) 2020: 181-192
2010 – 2019
- 2019
- [j4]Xi Xiong
A Clickthrough Rate Prediction Algorithm Based on Users' Behaviors. IEEE Access 7: 174782-174792 (2019) - [c4]Zhengwen Xie, Xiao Yuan, Jiawei Wang, Shenggen Ju:
Encoder-Decoder Network with Cross-Match Mechanism for Answer Selection. CCL 2019: 69-80 - [c3]Xiao Yuan, Xi Xiong, Shenggen Ju, Zhengwen Xie, Jiawei Wang:
A Dynamic Word Representation Model Based on Deep Context. NLPCC (2) 2019: 655-664 - [c2]Jingyan Wang, Shenggen Ju, Xi Xiong, Rui Zhang, Ningning Liu:
A Category Detection Method for Evidence-Based Medicine. NLPCC (2) 2019: 665-675 - 2015
- [j3]Chong Su, Shenggen Ju, Yiguang Liu, Zhonghua Yu:
Improving PART algorithm with K-L divergence for imbalanced classification. Intell. Data Anal. 19(5): 1035-1048 (2015) - [j2]Chong Su, Shenggen Ju, Yiguang Liu, Zhonghua Yu:
Improving Random Forest and Rotation Forest for highly imbalanced datasets. Intell. Data Anal. 19(6): 1409-1432 (2015) - 2014
- [j1]Chong Su, Shenggen Ju, Yiguang Liu, Zhonghua Yu:
An Empirical Study of Skew-Insensitive Splitting Criteria and its Application in Traditional Chinese Medicine. Intell. Autom. Soft Comput. 20(4): 535-554 (2014)
2000 – 2009
- 2007
- [c1]Li Chen, Zhishu Li, Shenggen Ju:
Based on Forward Reference Object Transaction Identification Algorithm on Web Mining. ALPIT 2007: 469-473
Coauthor Index
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