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2020 – today
- 2024
[c3]Taofeng Xue
, Zhimin Lin, Zijian Zhang, Linsen Guo, Haoru Chen, Mengjiao Bao, Peng Yan:
Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction. RecSys Challenge 2024: 53-57- [i3]Jianing Wang, Yang Zhou, Xiaocheng Zhang, Mengjiao Bao, Peng Yan:
Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization. CoRR abs/2409.11212 (2024) - [i2]Xiaocheng Zhang, Xi Wang, Yifei Lu, Zhuangzhuang Ye, Jianing Wang, Mengjiao Bao, Peng Yan, Xiaohong Su:
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs. CoRR abs/2410.15135 (2024) - 2022
- [i1]Ruifeng Qian, Shijie Li, Mengjiao Bao, Huan Chen, Yu Che:
Toward An Optimal Selection of Dialogue Strategies: A Target-Driven Approach for Intelligent Outbound Robots. CoRR abs/2206.10953 (2022)
2010 – 2019
- 2019
- [c2]Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu:
Learning Semantic Coherence for Machine Generated Spam Text Detection. IJCNN 2019: 1-8 - 2018
- [j1]Hao Peng, Mengjiao Bao, Jianxin Li, Md. Zakirul Alam Bhuiyan, Yaopeng Liu, Yu He, Erica Yang:
Incremental term representation learning for social network analysis. Future Gener. Comput. Syst. 86: 1503-1512 (2018) - [c1]Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang:
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. WWW 2018: 1063-1072
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