Qing Cui
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
14
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Improving Autoformalization Using Direct Dependency Retrieval. | Shaoqi Wang, Lu Yu, Siwei Lou, Feng Yan, Chunjie Yang, Qing Cui, Jun Zhou |
| 2026 | ACL | UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and Mining. | Changhao Wang, Yunfei Yu, Xinhao Yao, Jiaolong Yang, Lu Yu, Junpeng Fang, Riccardo Cantoro, Chaobo Li, Qing Cui, Jun Zhou |
| 2025 | ICML | MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. | Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang |
| 2025 | KDD | A Unified Invariant Learning Framework for Graph Classification. | Yongduo Sui, Jie Sun, Shuyao Wang, Zemin Liu, Qing Cui, Longfei Li, Xiang Wang |
| 2024 | AAAI | Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. | Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li |
| 2024 | AAAI | Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. | Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou |
| 2024 | AAAI | LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. | Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li |
| 2024 | CIKM | Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects. | Dong Yao, Caizhi Tang, Qing Cui, Longfei Li |
| 2024 | ICASSP | Enhancing Event Sequence Modeling with Contrastive Relational Inference. | Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou |
| 2024 | WWW | 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 |
| 2024 | WWW | 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 |
| 2024 | WSDM | 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 |
| 2023 | ICDM | Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. | Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou |
| 2023 | ICML | Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. | Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou |
| 2023 | WWW | DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. | Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu |
| 2023 | SIGIR | Alleviating Matching Bias in Marketing Recommendations. | Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu |
| 2023 | SIGIR | 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 |
| 2023 | WSDM | 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 |
| 2022 | ACML | Robust Direct Learning for Causal Data Fusion. | Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou |
| 2022 | CIKM | Semi-Supervised Learning with Data Augmentation for Tabular Data. | Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu |
| 2022 | CIKM | 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 |
| 2021 | DASFAA | Constraint-Adaptive Rule Mining in Large Databases. | Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou |
| 2021 | WSDM | 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 |
| 2019 | WWW | Value-aware Recommendation based on Reinforcement Profit Maximization. | Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang |
| 2017 | KDD | KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. | Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi |
| 2017 | WWW | PSMART: Parameter Server based Multiple Additive Regression Trees System. | Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang |
| 2016 | ACCV | Parallel Accelerated Matting Method Based on Local Learning. | Xiaoqiang Li, Qing Cui |
| 2014 | AAAI | Learning Deep Representations for Graph Clustering. | Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu |
| 2014 | COLING | Co-learning of Word Representations and Morpheme Representations. | Siyu Qiu, Qing Cui, Jiang Bian, Bin Gao, Tie-Yan Liu |