Pengxiang Cheng

11 papers A* 3A 2Journal 6
YearRankTypeTitle / Venue / Authors
2023 J jnl
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset.
CoRR
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023 J jnl
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset.
ACM Trans. Inf. Syst.
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023 A* conf
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data.
WWW
Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2023 J jnl
Debiased Representation Learning in Recommendation via Information Bottleneck.
Trans. Recomm. Syst.
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2023 J jnl
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data.
IEEE Trans. Knowl. Data Eng.
Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2022 J jnl
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data.
CoRR
Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2021 A conf
Mitigating Confounding Bias in Recommendation via Information Bottleneck.
RecSys
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2020 A* conf
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.
SIGIR
Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2020 A conf
Counterfactual learning for recommender system.
RecSys
Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
2020 A* conf
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.
WWW
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020 J jnl
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.
CoRR
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li