Cui, Qing

12 publications

ICML 2025 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

NeurIPS 2025 Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang

AAAI 2024 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

AAAI 2024 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

AAAI 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li

ICML 2023 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

NeurIPS 2023 FAST: A Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou

NeurIPS 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He

NeurIPS 2022 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang

ACML 2022 Robust Direct Learning for Causal Data Fusion Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou

ECML-PKDD 2020 AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou

AAAI 2014 Learning Deep Representations for Graph Clustering Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu