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Towards Fair Conversational Recommender Systems


Aug 08, 2022
Shuo Lin, Ziwei Zhu, Jianling Wang, James Caverlee

* arXiv admin note: substantial text overlap with arXiv:2208.03298 

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Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems


Aug 05, 2022
Shuo Lin, Jianling Wang, Ziwei Zhu, James Caverlee

* to appear in CIKM22 

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Learning to Augment for Casual User Recommendation


Apr 02, 2022
Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen

* Accepted by TheWebConf 2022 

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Session-based Recommendation with Hypergraph Attention Networks


Dec 28, 2021
Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee

* In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) (pp. 82-90) 

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Meta Propagation Networks for Graph Few-shot Semi-supervised Learning


Dec 18, 2021
Kaize Ding, Jianling Wang, James Caverlee, Huan Liu

* Accepted by AAAI2022 

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Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model


Sep 22, 2021
Jianling Wang, Ainur Yessenalina, Alireza Roshan-Ghias


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Sequential Recommendation for Cold-start Users with Meta Transitional Learning


Jul 13, 2021
Jianling Wang, Kaize Ding, James Caverlee

* Accepted by SIGIR2021 

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Weakly-supervised Graph Meta-learning for Few-shot Node Classification


Jun 12, 2021
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu


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Fairness-aware Personalized Ranking Recommendation via Adversarial Learning


Mar 14, 2021
Ziwei Zhu, Jianling Wang, James Caverlee

* 11 pages, 11 figures, an extended version of a conference published paper 

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Be More with Less: Hypergraph Attention Networks for Inductive Text Classification


Nov 01, 2020
Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu

* Accepted by EMNLP 2020 

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