Weiqi Shao

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Sequential Recommendation with User Evolving Preference Decomposition	2023	Weiqi Shao Xu Chen Jiashu Zhao Long Xia Jingsen Zhang Dawei Yin
+ PDF Chat	Debiased Recommendation with User Feature Balancing	2023	Mengyue Yang Guohao Cai Furui Liu Jiarui Jin Zhenhua Dong Xiuqiang He Jianye Hao Weiqi Shao Jun Wang Xu Chen
+	Sequential Recommendation with User Evolving Preference Decomposition	2022	Weiqi Shao Xu Chen Long Xia Jiashu Zhao Dawei Yin
+ PDF Chat	Learning Reinforced Dynamic Representations for Sequential Recommendation	2021	Weiqi Shao Xu Chen Jiashu Zhao Long Xia Dawei Yin
+ PDF Chat	Learning Reinforced Dynamic Representations for Sequential Recommendation	2021	Weiqi Shao Xu Chen Jiashu Zhao Long Xia Dawei Yin
+	User behavior understanding in real world settings	2021	Weiqi Shao Xu Chen Jiashu Zhao Long Xia Dawei Yin
+	Gumble Softmax For User Behavior Modeling	2021	Weiqi Shao Xu Chen Jiashu Zhao Long Xia Dawei Yin

Common Coauthors

Coauthor	Papers Together
Jiashu Zhao	5
Xu Chen	5
Dawei Yin	4
Long Xia	4
Dawei Yin	2
Xu Chen	2
Guohao Cai	1
Jianye Hao	1
Xiuqiang He	1
Jun Wang	1
Jingsen Zhang	1
Long Xia	1
Long Xia	1
Jiashu Zhao	1
Zhenhua Dong	1
Mengyue Yang	1
Furui Liu	1
Jiarui Jin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	2
+	Bounds on the Jensen Gap, and Implications for Mean-Concentrated Distributions	2017	Xiang Gao Meera Sitharam Adrián E. Roitberg	1
+ PDF Chat	Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding	2018	Jiaxi Tang Ke Wang	1
+	Multiple Causal Inference with Latent Confounding	2018	Rajesh Ranganath Adler Perotte	1
+ PDF Chat	Efficient Counterfactual Learning from Bandit Feedback	2019	Yusuke Narita Shota Yasui Kohei Yata	1
+ PDF Chat	A Simple Convolutional Generative Network for Next Item Recommendation	2019	Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M. Jose Xiangnan He	1
+ PDF Chat	Hierarchical Gating Networks for Sequential Recommendation	2019	Chen Ma Peng Kang Xue Liu	1
+	Collaborative Filtering and the Missing at Random Assumption	2012	Benjamin M. Marlin Richard S. Zemel Sam T. Roweis Malcolm Slaney	1
+	Focused Context Balancing for Robust Offline Policy Evaluation	2019	Hao Zou Kun Kuang Boqi Chen Peixuan Chen Peng Cui	1
+	Outer Product-based Neural Collaborative Filtering	2018	Xiangnan He Xiaoyu Du Xiang Wang Feng Tian Jinhui Tang Tat‐Seng Chua	1
+ PDF Chat	Self-Attentive Sequential Recommendation	2018	Wang-Cheng Kang Julian McAuley	1
+ PDF Chat	Neural Attentive Session-based Recommendation	2017	Jing Li Pengjie Ren Zhumin Chen Zhaochun Ren Tao Lian Jun Ma	1
+	Doubly Robust Policy Evaluation and Learning	2011	John Langford Lihong Li Miroslav Dud k	1
+ PDF Chat	Multi-Interest Network with Dynamic Routing for Recommendation at Tmall	2019	Chao Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Huan Zhao Pipei Huang Guoliang Kang Qiwei Chen Wei Li Dik Lun Lee	1
+ PDF Chat	The Blessings of Multiple Causes	2019	Zhaoran Wang David M. Blei	1
+ PDF Chat	Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback	2020	Yuta Saito Suguru Yaginuma Yuta Nishino Hayato Sakata Kazuhide Nakata	1
+ PDF Chat	Controllable Multi-Interest Framework for Recommendation	2020	Yukuo Cen Jianwei Zhang Xu Zou Chang Zhou Hongxia Yang Jie Tang	1
+	Adversarial Counterfactual Learning and Evaluation for Recommender System	2020	Da Xu Chuanwei Ruan Evren Körpeoğlu Sushant Kumar Kannan Achan	1
+ PDF Chat	SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation	2020	Fan Gong Meng Wang Haofen Wang Sen Wang Mengyue Liu	1
+ PDF Chat	Sparse-Interest Network for Sequential Recommendation	2021	Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Xia Hu	1
+ PDF Chat	A Survey on Trajectory Data Management, Analytics, and Learning	2021	Sheng Wang Zhifeng Bao J. Shane Culpepper Gao Cong	1
+ PDF Chat	Disentangling User Interest and Conformity for Recommendation with Causal Embedding	2021	Yu Zheng Chen Gao Xiang Li Xiangnan He Yong Li Depeng Jin	1
+ PDF Chat	Causal Intervention for Leveraging Popularity Bias in Recommendation	2021	Yang Zhang Fuli Feng Xiangnan He Tianxin Wei Chonggang Song Guohui Ling Yongdong Zhang	1
+ PDF Chat	A Survey on Causal Inference	2021	Liuyi Yao Zhixuan Chu Sheng Li Yaliang Li Jing Gao Aidong Zhang	1
+	Probabilistic and Variational Recommendation Denoising.	2021	Yu Wang Xin Xin Zaiqiao Meng Xiangnan He Joemon M. Jose Fuli Feng	1
+ PDF Chat	AutoDebias: Learning to Debias for Recommendation	2021	Jiawei Chen Hande Dong Yang Qiu Xiangnan He Xin Xin Liang Chen Guli Lin Keping Yang	1
+	Deconfounded Recommendation for Alleviating Bias Amplification	2021	Wenjie Wang Fuli Feng Xiangnan He Xiang Wang Tat‐Seng Chua	1
+	Causal Incremental Graph Convolution for Recommender System Retraining	2022	Sihao Ding Fuli Feng Xiangnan He Yong Liao Jun Shi Yongdong Zhang	1
+	Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects	2020	Fredrik Johansson Uri Shalit Nathan Kallus David Sontag	1
+	Bias and Debias in Recommender System: A Survey and Future Directions	2020	Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang Xiangnan He	1
+	Debiased recommendation with neural stratification	2022	Quanyu Dai Zhenhua Dong Xu Chen	1
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	1
+ PDF Chat	Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation	2022	Zihao Zhao Jiawei Chen Sheng Zhou Xiangnan He Xuezhi Cao Fuzheng Zhang Wei Wu	1