Yun He

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

Top Topics

Collaborative Filtering

Recommender Systems

Top Venues

Publications

Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. ACL (Findings) (2023)
Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. CoRR (2023)
Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. WWW (2022)
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. CoRR (2022)
Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
Evolution of Popularity Bias: Empirical Study and Debiasing. CoRR (2022)
Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
Popularity-Opportunity Bias in Collaborative Filtering. WSDM (2021)
Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
Popularity Bias in Dynamic Recommendation. KDD (2021)
Yin Zhang, Yun He, James Caverlee
Vibe check: social resonance learning for enhanced recommendation. ASONAM (2021)
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
Consistency-Aware Recommendation for User-Generated Item List Continuation. WSDM (2020)
Yin Zhang, Yun He, Jianling Wang, James Caverlee
Adaptive Hierarchical Translation-based Sequential Recommendation. WWW (2020)
Ziwei Zhu, Yun He, Yin Zhang, James Caverlee
Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. RecSys (2020)
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. EMNLP (1) (2020)
Yin Zhang, Ziwei Zhu, Yun He, James Caverlee
Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. RecSys (2020)
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. CoRR (2020)
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. EMNLP (1) (2020)
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. CoRR (2020)
Yun He, Jianling Wang, Wei Niu, James Caverlee
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CIKM (2019)
Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. CoRR (2019)
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
Consistency-Aware Recommendation for User-Generated ItemList Continuation. CoRR (2019)
Yun He, Jianling Wang, Wei Niu, James Caverlee
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CoRR (2019)
Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. ICDM (2018)