Yun He

23 papers A* 4A 5B 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Towards An Efficient LLM Training Paradigm for CTR Prediction.
CoRR
Allen Lin, Renqin Cai, Yun He, Hanchao Yu, Jing Qian, Rui Li, Qifan Wang, James Caverlee
2023 — conf
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.
ACL (Findings)
Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
2023 J jnl
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.
CoRR
Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
2022 J jnl
Evolution of Popularity Bias: Empirical Study and Debiasing.
CoRR
Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
2022 J jnl
Item Relationship Graph Neural Networks for E-Commerce.
IEEE Trans. Neural Networks Learn. Syst.
Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
2022 A* conf
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks.
WWW
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
2022 J jnl
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks.
CoRR
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
2021 A* conf
Popularity Bias in Dynamic Recommendation.
KDD
Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
2021 A conf
Popularity-Opportunity Bias in Collaborative Filtering.
WSDM
Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
2021 B conf
Vibe check: social resonance learning for enhanced recommendation.
ASONAM
Yin Zhang, Yun He, James Caverlee
2020 A* conf
Adaptive Hierarchical Translation-based Sequential Recommendation.
WWW
Yin Zhang, Yun He, Jianling Wang, James Caverlee
2020 A conf
Consistency-Aware Recommendation for User-Generated Item List Continuation.
WSDM
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
2020 A conf
Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation.
RecSys
Yin Zhang, Ziwei Zhu, Yun He, James Caverlee
2020 — conf
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.
EMNLP (1)
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020 J jnl
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.
CoRR
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
2020 — conf
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge.
EMNLP (1)
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
2020 J jnl
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge.
CoRR
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
2020 A conf
Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning.
RecSys
Ziwei Zhu, Yun He, Yin Zhang, James Caverlee
2019 A conf
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists.
CIKM
Yun He, Jianling Wang, Wei Niu, James Caverlee
2019 J jnl
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists.
CoRR
Yun He, Jianling Wang, Wei Niu, James Caverlee
2019 J jnl
Consistency-Aware Recommendation for User-Generated ItemList Continuation.
CoRR
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
2019 J jnl
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.
CoRR
Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
2018 A* conf
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.
ICDM
Yun He, Haochen Chen, Ziwei Zhu, James Caverlee