Debo Cheng

According to our database, Debo Cheng authored at least 80 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Disentangled contrastive learning for fair graph representations.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

Neural Networks, 2025

Identifying local useful information for attribute graph anomaly detection.

Penghui Xi, Debo Cheng, Guangquan Lu, Zhenyun Deng, Guixian Zhang, Shichao Zhang

Neurocomputing, 2025

2024

Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems.

Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto

Mach. Intell. Res., June, 2024

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

ACM Comput. Surv., May, 2024

Learning fair representations via rebalancing graph structure.

Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang

Inf. Process. Manag., January, 2024

Contrastive learning for fair graph representations via counterfactual graph augmentation.

Chengyu Li, Debo Cheng, Guixian Zhang, Shichao Zhang

Knowl. Based Syst., 2024

Linking Model Intervention to Causal Interpretation in Model Explanation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2024

Mitigating Dual Latent Confounding Biases in Recommender Systems.

Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Xiaojing Du

CoRR, 2024

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang

CoRR, 2024

Towards Fair Graph Representation Learning in Social Networks.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

CoRR, 2024

Mitigating Propensity Bias of Large Language Models for Recommender Systems.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

CoRR, 2024

A Deconfounding Approach to Climate Model Bias Correction.

Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen

CoRR, 2024

Estimating Peer Direct and Indirect Effects in Observational Network Data.

Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen

CoRR, 2024

Community-Centric Graph Unlearning.

Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng

CoRR, 2024

Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu

CoRR, 2024

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang

CoRR, 2024

Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables.

Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng

CoRR, 2024

Enhancing the Performance of Aspect-Based Sentiment Analysis Systems.

Chen Li, Huidong Tang, Peng Ju, Debo Cheng, Yasuhiko Morimoto

CoRR, 2024

Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework.

Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto

CoRR, 2024

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CaEXR: A Joint Extraction Framework for Causal Relationships Based on Word-Pair Network.

Chong Liu, Wenxiang Fang, Debo Cheng, Ruifang Zhai, Li Qin

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

TSI: A Multi-view Representation Learning Approach for Time Series Forecasting.

Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

Multi-view Graph Neural Network for Fair Representation Learning.

Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le

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

2023

FPGNN: Fair path graph neural network for mitigating discrimination.

Guixian Zhang, Debo Cheng, Shichao Zhang

World Wide Web (WWW), September, 2023

Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Local Search for Efficient Causal Effect Estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le

IEEE Trans. Knowl. Data Eng., September, 2023

Research And Implementation Of Drug Target Interaction Confidence Measurement Method Based On Causal Intervention.

Wenting Ye, Bowen Wang, Yang Xie, Debo Cheng, Zaiwen Feng

CoRR, 2023

Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

CoRR, 2023

FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery.

Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Debo Cheng, Keqing He, Zaiwen Feng

CoRR, 2023

FastAGEDs: Fast Approximate Graph Entity Dependency Discovery.

Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation.

Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Disentangled Representation with Causal Constraints for Counterfactual Fairness.

Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

A Reinforcement Learning-Based Approach for Continuous Knowledge Graph Construction.

Jiao Luo, Yitao Zhang, Ying Wang, Wolfgang Mayer, Ningpei Ding, Xiaoxia Li, Yuan Quan, Debo Cheng, Hong-Yu Zhang, Zaiwen Feng

Proceedings of the Knowledge Science, Engineering and Management, 2023

An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark.

Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto

Proceedings of the Knowledge Science, Engineering and Management, 2023

MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection.

Zhongyi Yu, Debo Cheng, Wenzhen Zhang, Jing Chen, Shichao Zhang

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection.

Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection.

Jing Chen, Debo Cheng, Jiacheng Jiang, Zhongyi Yu, Shichao Zhang

Proceedings of the IEEE International Conference on Image Processing, 2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.

Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng

Proceedings of the IEEE International Conference on Data Mining, 2023

Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction.

Wenting Ye, Chen Li, Yang Xie, Wen Zhang, Hong-Yu Zhang, Bowen Wang, Debo Cheng, Zaiwen Feng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Multi-branch Residual Fusion Network for Imbalanced Visual Regression.

Zhirong Huang, Shichao Zhang, Debo Cheng, Rongjiao Liang, Mengqi Jiang

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Multi-head Similarity Feature Representation and Filtration for Image-Text Matching.

Mengqi Jiang, Shichao Zhang, Debo Cheng, Leyuan Zhang, Guixian Zhang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Disentangled Representation for Causal Mediation Analysis.

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Inference with Conditional Instruments Using Deep Generative Models.

Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Sufficient dimension reduction for average causal effect estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu

Data Min. Knowl. Discov., 2022

Ancestral instrument method for causal inference without a causal graph.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu

CoRR, 2022

Assessing Classifier Fairness with Collider Bias.

Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Information Augmentation for Few-shot Node Classification.

Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Ancestral Instrument Method for Causal Inference without Complete Knowledge.

Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation.

Haoran Zhao, Yinghao Zhang, Debo Cheng, Chen Li, Zaiwen Feng

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Stable Causal Feature Selection based on Direct Causal Effect Estimation.

Xiaojing Du, Qingfeng Chen, Debo Cheng, Qian Huang, Junyue Cao, Zhenyun Deng, Shichao Zhang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Dynamic Semantic Modeling of Structural Data Sources.

Hailong Chu, Weiming Wu, Wolfgang Mayer, Debo Cheng, Hong-Yu Zhang, Zaiwen Feng

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2020

Assessing the Fairness of Classifiers with Collider Bias.

Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

CoRR, 2020

Sufficient Dimension Reduction for Average Causal Effect Estimation.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu

CoRR, 2020

Towards precise causal effect estimation from data with hidden variables.

Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu

CoRR, 2020

Causal Query in Observational Data with Hidden Variables.

Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2018

Supervised feature selection algorithm via discriminative ridge regression.

Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng

World Wide Web, 2018

A novel <i>k</i>NN algorithm with data-driven <i>k</i> parameter computation.

Shichao Zhang, Debo Cheng, Zhenyun Deng, Ming Zong, Xuelian Deng

Pattern Recognit. Lett., 2018

Efficient subspace clustering based on self-representation and grouping effect.

Shichao Zhang, Yonggang Li, Debo Cheng, Zhenyun Deng, Lifeng Yang

Neural Comput. Appl., 2018

Sparse sample self-representation for subspace clustering.

Zhenyun Deng, Shichao Zhang, Lifeng Yang, Ming Zong, Debo Cheng

Neural Comput. Appl., 2018

2017

Learning <i>k</i> for kNN Classification.

Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng

ACM Trans. Intell. Syst. Technol., 2017

Double sparse-representation feature selection algorithm for classification.

Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng

Multim. Tools Appl., 2017

Leverage triple relational structures via low-rank feature reduction for multi-output regression.

Shichao Zhang, Lifeng Yang, Zhenyun Deng, Debo Cheng, Yonggang Li

Multim. Tools Appl., 2017

Spectral clustering based on hypergraph and self-re-presentation.

Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie

Multim. Tools Appl., 2017

Low-rank feature selection for multi-view regression.

Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang

Multim. Tools Appl., 2017

Low-rank unsupervised graph feature selection via feature self-representation.

Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang

Multim. Tools Appl., 2017

Feature selection by combining subspace learning with sparse representation.

Debo Cheng, Shichao Zhang, Xingyi Liu, Ke Sun, Ming Zong

Multim. Syst., 2017

Graph self-representation method for unsupervised feature selection.

Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang

Neurocomputing, 2017

Self-representation dimensionality reduction for multi-model classification.

Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen

Neurocomputing, 2017

Unsupervised feature selection for visual classification via feature-representation property.

Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang

Neurocomputing, 2017

2016

Graph feature selection for dementia diagnosis.

Yonghua Zhu, Zhi Zhong, Wenfei Cao, Debo Cheng

Neurocomputing, 2016

Self-representation nearest neighbor search for classification.

Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao

Neurocomputing, 2016

Efficient kNN classification algorithm for big data.

Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang

Neurocomputing, 2016

Hypergraph Spectral Clustering via Sample Self-Representation.

Shichao Zhang, Yonggang Li, Debo Cheng, Zhen-Yun Deng

Proceedings of the Fuzzy Systems and Data Mining II, 2016

2014

Efficient kNN Algorithm Based on Graph Sparse Reconstruction.

Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

Improved Spectral Clustering Algorithm Based on Similarity Measure.

Jun Yan, Debo Cheng, Ming Zong, Zhenyun Deng

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

kNN Algorithm with Data-Driven k Value.

Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014