Qing Cui

According to our database, Qing Cui authored at least 81 papers between 1991 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

Injective edge-coloring of claw-free subcubic graphs.

Qing Cui, Zhenmeng Han

J. Comb. Optim., July, 2024

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation.

Zhixuan Chu, Yan Wang, Qing Cui, Longfei Li, Wenqing Chen, Sheng Li, Zhan Qin, Kui Ren

CoRR, 2024

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, 2024

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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, 2024

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

Proceedings of the IEEE International Conference on Acoustics, 2024

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, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.

Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Sharp Upper Bound on the Cycle Isolation Number of Graphs.

Qing Cui, Jingshu Zhang

Graphs Comb., December, 2023

GINT: A Generative Interpretability method via perturbation in the latent space.

Caizhi Tang, Qing Cui, Longfei Li, Jun Zhou

Expert Syst. Appl., December, 2023

A note on strong edge-coloring of claw-free cubic graphs.

Zhenmeng Han, Qing Cui

J. Appl. Math. Comput., June, 2023

EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis.

Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen

IEEE Trans. Knowl. Data Eng., 2023

A Model for Infrastructure Detection along Highways Based on Remote Sensing Images from UAVs.

Xian Jiang, Qing Cui, Chongguo Wang, Fan Wang, Yingxiang Zhao, Yongjie Hou, Rujun Zhuang, Yunfei Mei, Gang Shi

Sensors, 2023

Data-Centric Financial Large Language Models.

Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li

CoRR, 2023

Leveraging Large Language Models for Pre-trained Recommender Systems.

Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li

CoRR, 2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs.

Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li

CoRR, 2023

DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.

Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

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, 2023

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, 2023

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, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

CGR-Block: Correlated Feature Extractor and Geometric Feature Fusion for Point Cloud Analysis.

Fan Wang, Yingxiang Zhao, Gang Shi, Qing Cui, Tengfei Cao, Xian Jiang, Yongjie Hou, Rujun Zhuang, Yunfei Mei

Sensors, 2022

Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances.

Jun-Peng Fang, Jun Zhou, Qing Cui, Caizhi Tang, Longfei Li

Int. J. Pattern Recognit. Artif. Intell., 2022

On 4-connected 4-regular graphs without even cycle decompositions.

Wenzhong Liu, Qing Cui, Yunzhuo Wang

Discret. Math., 2022

List star edge-coloring of claw-free subcubic multigraphs.

Qing Cui, Zhenmeng Han

Discret. Appl. Math., 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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, 2022

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, 2022

Robust Direct Learning for Causal Data Fusion.

Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Tight Gaps in the Cycle Spectrum of 3-Connected Planar Graphs.

Qing Cui, On-Hei Solomon Lo

SIAM J. Discret. Math., 2021

Diffusion-based image inpainting forensics via weighted least squares filtering enhancement.

Yujin Zhang, Tingting Liu, Carlo Cattani, Qing Cui, Shuxian Liu

Multim. Tools Appl., 2021

The chromatic number of { ISK4ISK4 ISK 4 , diamond, bowtie}-free graphs.

Guantao Chen, Yuan Chen, Qing Cui, Xing Feng, Qinghai Liu

J. Graph Theory, 2021

Strongly even cycle decomposable 4-regular line graphs.

Wenzhong Liu, Jiancheng Wang, Qing Cui, Yan Yang

Eur. J. Comb., 2021

Implications in rainbow forbidden subgraphs.

Qing Cui, Qinghai Liu, Colton Magnant, Akira Saito

Discret. Math., 2021

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

Proceedings of the WSDM '21, 2021

Constraint-Adaptive Rule Mining in Large Databases.

Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou

Proceedings of the Database Systems for Advanced Applications, 2021

2020

A characterization of nonfeasible sets in matching covered graphs.

Qinghai Liu, Qing Cui, Xing Feng, Fuliang Lu

J. Graph Theory, 2020

Partitioning Claw-Free Subcubic Graphs into Two Dominating Sets.

Qing Cui

Graphs Comb., 2020

The Chromatic Number of Graphs with No Induced Subdivision of K₄.

Guantao Chen, Yuan Chen, Qing Cui, Xing Feng, Qinghai Liu

Graphs Comb., 2020

On even cycle decompositions of line graphs of cubic graphs.

Wenzhong Liu, Huazheng You, Qing Cui

Discret. Math., 2020

A note on 3-bisections in subcubic graphs.

Qing Cui, Wenzhong Liu

Discret. Appl. Math., 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2019

Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features.

Xiaoqiang Li, Yin Zhang, Qing Cui, Xiaoming Yi, Yi Zhang

IEEE Trans. Cybern., 2019

2-bisections in claw-free cubic multigraphs.

Qing Cui, Qinghai Liu

Discret. Appl. Math., 2019

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

CoRR, 2019

Value-aware Recommendation based on Reinforcement Profit Maximization.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

Proceedings of the World Wide Web Conference, 2019

2018

Cracked Tongue Recognition Based on Deep Features and Multiple-Instance SVM.

Yushan Xue, Xiaoqiang Li, Qing Cui, Lu Wang, Pin Wu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

A Method of Personnel Location Based on Monocular Camera in Complex Terrain.

Yanqiong Liu, Gang Shi, Qing Cui, Yuhong Sheng, Guoqun Liu

Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

2017

Almost sure stability for multifactor uncertain differential equation.

Yuhong Sheng, Gang Shi, Qing Cui

J. Intell. Fuzzy Syst., 2017

Dual 3-phase buck converter for multi-core CPUs power supply in mobile devices.

Lei Wang, Fujiang Lin, Qing Cui

IEICE Electron. Express, 2017

On the general sum-connectivity index of trees with given number of pendent vertices.

Qing Cui, Lingping Zhong

Discret. Appl. Math., 2017

The maximum atom-bond connectivity index for graphs with edge-connectivity one.

Qing Cui, Qiuping Qian, Lingping Zhong

Discret. Appl. Math., 2017

The general Randić index of trees with given number of pendent vertices.

Qing Cui, Lingping Zhong

Appl. Math. Comput., 2017

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, 2017

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

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Group consensus tracking control of second-order multi-agent systems with directed fixed topology.

Qing Cui, Dongmei Xie, Fangcui Jiang

Neurocomputing, 2016

A tri-mode high light-load efficiency BUCK converter for mobile phone application.

Qing Cui, Fujiang Lin

IEICE Electron. Express, 2016

An efficient digital calibration technique for timing mismatch in time-interleaved ADCs.

Hongmei Chen, Maochen Jian, Yong-Sheng Yin, Fujiang Lin, Qing Cui

IEICE Electron. Express, 2016

Geometric and Tongue-Mouth Relation Features for Morphology Analysis of Tongue Body.

Qing Cui, Xiaoqiang Li, Jide Li, Yin Zhang

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Parallel Accelerated Matting Method Based on Local Learning.

Xiaoqiang Li, Qing Cui

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

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 Trans. Inf. Syst., 2015

Global Optimization for Advertisement Selection in Sponsored Search.

Qing Cui, Feng-Shan Bai, Bin Gao, Tie-Yan Liu

J. Comput. Sci. Technol., 2015

On a relation between the atom-bond connectivity and the first geometric-arithmetic indices.

Lingping Zhong, Qing Cui

Discret. Appl. Math., 2015

2014

Learning Effective Word Embedding using Morphological Word Similarity.

Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Tie-Yan Liu

CoRR, 2014

Spanning trees in subcubic graphs.

Rui Li, Qing Cui

Ars Comb., 2014

Co-learning of Word Representations and Morpheme Representations.

Siyu Qiu, Qing Cui, Jiang Bian, Bin Gao, Tie-Yan Liu

Proceedings of the COLING 2014, 2014

Learning Deep Representations for Graph Clustering.

Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A note on circumferences in k-connected graphs with given independence number.

Qing Cui, Lingping Zhong

Ars Comb., 2013

2012

Dynamic appearance model for particle filter based visual tracking.

Yuru Wang, Xianglong Tang, Qing Cui

Pattern Recognit., 2012

2010

A Note on Circuit Graphs.

Qing Cui

Electron. J. Comb., 2010

2009

Hamilton circles in infinite planar graphs.

Qing Cui, Jian Wang, Xingxing Yu

J. Comb. Theory B, 2009

Packing and Covering Triangles in Planar Graphs.

Qing Cui, Penny Haxell, Will Ma

Graphs Comb., 2009

Maximum bipartite subgraphs of cubic triangle-free planar graphs.

Qing Cui, Jian Wang

Discret. Math., 2009

Long cycles in 4-connected planar graphs.

Qing Cui, Yumei Hu, Jian Wang

Discret. Math., 2009

2005

On improving local website search using web server traffic logs: a preliminary report.

Qing Cui, Alex Dekhtyar

Proceedings of the Seventh ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005

1991

Noninvasive estimation of cardiac output.

Walter Welkowitz, Qing Cui, Yun Qi, John B. Kostis

IEEE Trans. Biomed. Eng., 1991