Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. - Yun He 001; Haochen Chen; Ziwei Zhu 001; James Caverlee (ICDM, 2018)

A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. - Yun He 001; Jianling Wang; Wei Niu 003; James Caverlee (CIKM, 2019)

Consistency-Aware Recommendation for User-Generated ItemList Continuation. - Yun He 001; Yin Zhang 011; Weiwen Liu; James Caverlee (CoRR, 2019)

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. - Yun He 001; Zhuoer Wang; Yin Zhang 011; Ruihong Huang; James Caverlee (EMNLP (1), 2020)

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. - Yun He 001; Ziwei Zhu 001; Yin Zhang 011; Qin Chen 001; James Caverlee (EMNLP (1), 2020)

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. - Yin Zhang 011; Ziwei Zhu 001; Yun He 001; James Caverlee (RecSys, 2020)

Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. - Ziwei Zhu 001; Yun He 001; Yin Zhang 011; James Caverlee (RecSys, 2020)

Consistency-Aware Recommendation for User-Generated Item List Continuation. - Yun He 001; Yin Zhang 011; Weiwen Liu; James Caverlee (WSDM, 2020)

Adaptive Hierarchical Translation-based Sequential Recommendation. - Yin Zhang 011; Yun He 001; Jianling Wang; James Caverlee (WWW, 2020)

Vibe check: social resonance learning for enhanced recommendation. - Yin Zhang 011; Yun He 001; James Caverlee (ASONAM, 2021)

Popularity Bias in Dynamic Recommendation. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; James Caverlee (KDD, 2021)

Popularity-Opportunity Bias in Collaborative Filtering. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; Yin Zhang 011; Jianling Wang; James Caverlee (WSDM, 2021)

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. - Yun He 001; Xue Feng; Cheng Cheng; Geng Ji 001; Yunsong Guo; James Caverlee (WWW, 2022)

Evolution of Popularity Bias: Empirical Study and Debiasing. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; James Caverlee (CoRR, 2022)

Item Relationship Graph Neural Networks for E-Commerce. - Weiwen Liu; Yin Zhang 011; Jianling Wang; Yun He 001; James Caverlee; Patrick P. K. Chan; Daniel S. Yeung; Pheng-Ann Heng (IEEE Trans. Neural Networks Learn. Syst., 2022)

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. - Xiangjue Dong; Yun He 001; Ziwei Zhu 001; James Caverlee (ACL (Findings), 2023)

Towards An Efficient LLM Training Paradigm for CTR Prediction. - Allen Lin; Renqin Cai; Yun He 001; Hanchao Yu; Jing Qian; Rui Li; Qifan Wang 001; James Caverlee (CoRR, 2025)