Yun He

According to our database, Yun He authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.

Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Item Relationship Graph Neural Networks for E-Commerce.

Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng

IEEE Trans. Neural Networks Learn. Syst., 2022

Evolution of Popularity Bias: Empirical Study and Debiasing.

Ziwei Zhu, Yun He, Xing Zhao, James Caverlee

CoRR, 2022

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks.

Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Popularity-Opportunity Bias in Collaborative Filtering.

Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee

Proceedings of the WSDM '21, 2021

Popularity Bias in Dynamic Recommendation.

Ziwei Zhu, Yun He, Xing Zhao, James Caverlee

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Vibe check: social resonance learning for enhanced recommendation.

Yin Zhang, Yun He, James Caverlee

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Adaptive Hierarchical Translation-based Sequential Recommendation.

Yin Zhang, Yun He, Jianling Wang, James Caverlee

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Consistency-Aware Recommendation for User-Generated Item List Continuation.

Yun He, Yin Zhang, Weiwen Liu, James Caverlee

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning.

Ziwei Zhu, Yun He, Yin Zhang, James Caverlee

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation.

Yin Zhang, Ziwei Zhu, Yun He, James Caverlee

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.

Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge.

Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Consistency-Aware Recommendation for User-Generated ItemList Continuation.

Yun He, Yin Zhang, Weiwen Liu, James Caverlee

CoRR, 2019

A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists.

Yun He, Jianling Wang, Wei Niu, James Caverlee

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.

Yun He, Haochen Chen, Ziwei Zhu, James Caverlee

Proceedings of the IEEE International Conference on Data Mining, 2018