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Yongchun Zhu

Attacking Pre-trained Recommendation

May 06, 2023
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, FuZhen Zhuang, Jie Zhou, Yongjun Xu, Qing He

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* Accepted by SIGIR 2023

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Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer

Oct 09, 2022
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li

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* Accepted by COLING 2022. The 29th International Conference on Computational Linguistics, Gyeongju, Republic of Korea

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Customized Conversational Recommender Systems

Jun 30, 2022
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong

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* Accepted by ECML-PKDD 2022

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Memory-Guided Multi-View Multi-Domain Fake News Detection

Jun 26, 2022
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang

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* Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)

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Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion

May 02, 2022
Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang

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* Accepted by IJCAI 2022

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User-Centric Conversational Recommendation with Multi-Aspect User Modeling

Apr 25, 2022
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He

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* Accepted by SIGIR 2022

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Generalizing to the Future: Mitigating Entity Bias in Fake News Detection

Apr 20, 2022
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang

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* Accepted by SIGIR 2022

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