Qing Cui

2024

doi dblp
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects.
Dong Yao|Caizhi Tang|Qing Cui|Longfei Li
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
Ya-Lin Zhang|Caizhi Tang|Lu Yu|Jun Zhou|Longfei Li|Qing Cui|Fangfang Fan|Linbo Jiang|Xiaosong Zhao
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi dblp
Invariant Graph Learning for Causal Effect Estimation.
Yongduo Sui|Caizhi Tang|Zhixuan Chu|Junfeng Fang|Yuan Gao|Qing Cui|Longfei Li|Jun Zhou|Xiang Wang
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
doi dblp
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.
Junpeng Fang|Gongduo Zhang|Qing Cui|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

doi dblp
Alleviating Matching Bias in Marketing Recommendations.
Junpeng Fang|Qing Cui|Gongduo Zhang|Caizhi Tang|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou|Fei Wu
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
MDI: A Debiasing Method Combining Unbiased and Biased Data.
Han Zhao|Qing Cui|Xinyu Li|Rongzhou Bao|Longfei Li|Jun Zhou|Zhehao Liu|Jinghua Feng
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network.
Yi Ding|Jun Zhou|Qing Cui|Lin Wang|Mengqi Zhang|Yang Dong
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
doi dblp
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.
Jun Zhou|Caizhi Tang|Qing Cui|Yi Ding|Longfei Li|Fei Wu
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp
Semi-Supervised Learning with Data Augmentation for Tabular Data.
Jun-Peng Fang|Caizhi Tang|Qing Cui|Feng Zhu|Longfei Li|Jun Zhou|Wei Zhu
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.
Meng Li|Lu Yu|Ya-Lin Zhang|Xiaoguang Huang|Qitao Shi|Qing Cui|Xinxing Yang|Longfei Li|Wei Zhu|Yanming Fang|Jun Zhou
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2021

doi dblp
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
Kai Zhang|Hao Qian|Qing Cui|Qi Liu|Longfei Li|Jun Zhou|Jianhui Ma|Enhong Chen
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2019

doi dblp
Value-aware Recommendation based on Reinforcement Profit Maximization.
Changhua Pei|Xinru Yang|Qing Cui|Xiao Lin|Fei Sun|Peng Jiang|Wenwu Ou|Yongfeng Zhang
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2017

doi dblp
PSMART: Parameter Server based Multiple Additive Regression Trees System.
Jun Zhou|Qing Cui|Xiaolong Li|Peilin Zhao|Shenquan Qu|Jun Huang
Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017

2015

doi dblp
KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge.
Qing Cui|Bin Gao|Jiang Bian|Siyu Qiu|Hanjun Dai|Tie-Yan Liu
ACM Transactions on Information Systems (TOIS) 2015 Volume 34 Issue 1