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2020 – today
- 2025
[j26]Guixian Zhang
, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Disentangled contrastive learning for fair graph representations. Neural Networks 181: 106781 (2025)- 2024
- [j25]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. ACM Comput. Surv. 56(5): 127:1-127:37 (2024) - [j24]Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto:
Ripple Knowledge Graph Convolutional Networks for Recommendation Systems. Mach. Intell. Res. 21(3): 481-494 (2024) - [j23]Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang:
Learning fair representations via rebalancing graph structure. Inf. Process. Manag. 61(1): 103570 (2024) - [j22]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11542-11552 (2024) - [c31]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le:
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. AAAI 2024: 11480-11488 - [c30]Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang:
Multi-view Graph Neural Network for Fair Representation Learning. APWeb/WAIM (3) 2024: 208-223 - [c29]Chong Liu, Wenxiang Fang, Debo Cheng, Ruifang Zhai, Li Qin:
CaEXR: A Joint Extraction Framework for Causal Relationships Based on Word-Pair Network. ICIC (LNAI 4) 2024: 446-458 - [c28]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. ICLR 2024 - [c27]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu:
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR 2024 - [i30]Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto:
Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework. CoRR abs/2404.03254 (2024) - [i29]Chen Li, Huidong Tang, Peng Ju, Debo Cheng, Yasuhiko Morimoto:
Enhancing the Performance of Aspect-Based Sentiment Analysis Systems. CoRR abs/2404.03259 (2024) - [i28]Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng:
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables. CoRR abs/2408.07219 (2024) - [i27]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang:
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems. CoRR abs/2408.09646 (2024) - [i26]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu:
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems. CoRR abs/2408.09651 (2024) - [i25]Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng:
Community-Centric Graph Unlearning. CoRR abs/2408.09705 (2024) - [i24]Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen:
Estimating Peer Direct and Indirect Effects in Observational Network Data. CoRR abs/2408.11492 (2024) - [i23]Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen:
A Deconfounding Approach to Climate Model Bias Correction. CoRR abs/2408.12063 (2024) - [i22]Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen:
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. CoRR abs/2409.19871 (2024) - [i21]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Mitigating Propensity Bias of Large Language Models for Recommender Systems. CoRR abs/2409.20052 (2024) - 2023
- [j21]Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le:
Local Search for Efficient Causal Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(9): 8823-8837 (2023) - [j20]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6108-6120 (2023) - [j19]Guixian Zhang, Debo Cheng, Shichao Zhang:
FPGNN: Fair path graph neural network for mitigating discrimination. World Wide Web (WWW) 26(5): 3119-3136 (2023) - [c26]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Causal Inference with Conditional Instruments Using Deep Generative Models. AAAI 2023: 7122-7130 - [c25]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. AAAI 2023: 10666-10674 - [c24]Mengqi Jiang, Shichao Zhang, Debo Cheng, Leyuan Zhang, Guixian Zhang:
Multi-head Similarity Feature Representation and Filtration for Image-Text Matching. ADMA (2) 2023: 629-643 - [c23]Zhirong Huang, Shichao Zhang, Debo Cheng, Rongjiao Liang, Mengqi Jiang:
Multi-branch Residual Fusion Network for Imbalanced Visual Regression. APWeb-WAIM (1) 2023: 392-406 - [c22]Wenting Ye, Chen Li, Yang Xie, Wen Zhang, Hong-Yu Zhang, Bowen Wang, Debo Cheng, Zaiwen Feng:
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction. BIBM 2023: 395-400 - [c21]Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng:
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. ICDM 2023: 51-60 - [c20]Jing Chen, Debo Cheng, Jiacheng Jiang, Zhongyi Yu, Shichao Zhang:
SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection. ICIP 2023: 855-859 - [c19]Zhongyi Yu, Debo Cheng, Wenzhen Zhang, Jing Chen, Shichao Zhang:
MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection. ICTAI 2023: 841-848 - [c18]Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang:
LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. ICTAI 2023: 997-1001 - [c17]Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto:
An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. KSEM (4) 2023: 35-43 - [c16]Jiao Luo, Yitao Zhang, Ying Wang, Wolfgang Mayer, Ningpei Ding, Xiaoxia Li, Yuan Quan, Debo Cheng, Hong-Yu Zhang, Zaiwen Feng:
A Reinforcement Learning-Based Approach for Continuous Knowledge Graph Construction. KSEM (4) 2023: 418-429 - [c15]Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) 2023: 471-482 - [c14]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu:
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. ECML/PKDD (1) 2023: 525-540 - [c13]Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng:
FastAGEDs: Fast Approximate Graph Entity Dependency Discovery. WISE 2023: 451-465 - [c12]Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng:
A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. WISE 2023: 723-732 - [i20]Haoran Zhao, Yinghao Zhang, Debo Cheng, Chen Li, Zaiwen Feng:
Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation. CoRR abs/2301.01549 (2023) - [i19]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. CoRR abs/2302.09694 (2023) - [i18]Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Debo Cheng, Keqing He, Zaiwen Feng:
FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery. CoRR abs/2304.02323 (2023) - [i17]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu:
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR abs/2304.11969 (2023) - [i16]Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto:
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems. CoRR abs/2305.01147 (2023) - [i15]Wenting Ye, Bowen Wang, Yang Xie, Debo Cheng, Zaiwen Feng:
Research And Implementation Of Drug Target Interaction Confidence Measurement Method Based On Causal Intervention. CoRR abs/2306.00041 (2023) - [i14]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu:
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. CoRR abs/2306.12453 (2023) - [i13]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. CoRR abs/2310.01865 (2023) - [i12]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu:
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. CoRR abs/2310.01937 (2023) - [i11]Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng:
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. CoRR abs/2312.05404 (2023) - [i10]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le:
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. CoRR abs/2312.07175 (2023) - 2022
- [j18]Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu:
Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. 36(3): 1174-1196 (2022) - [c11]Haoran Zhao, Yinghao Zhang, Debo Cheng, Chen Li, Zaiwen Feng:
Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation. HPCC/DSS/SmartCity/DependSys 2022: 9-16 - [c10]Hailong Chu, Weiming Wu, Wolfgang Mayer, Debo Cheng, Hong-Yu Zhang, Zaiwen Feng:
Dynamic Semantic Modeling of Structural Data Sources. HPCC/DSS/SmartCity/DependSys 2022: 74-81 - [c9]Xiaojing Du, Qingfeng Chen, Debo Cheng, Qian Huang, Junyue Cao, Zhenyun Deng, Shichao Zhang:
Stable Causal Feature Selection based on Direct Causal Effect Estimation. HPCC/DSS/SmartCity/DependSys 2022: 1593-1600 - [c8]Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu:
Information Augmentation for Few-shot Node Classification. IJCAI 2022: 3601-3607 - [c7]Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu:
Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI 2022: 4843-4849 - [c6]Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing Classifier Fairness with Collider Bias. PAKDD (2) 2022: 262-276 - [i9]Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu:
Ancestral instrument method for causal inference without a causal graph. CoRR abs/2201.03810 (2022) - [i8]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. CoRR abs/2206.01931 (2022) - [i7]Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. CoRR abs/2208.09147 (2022) - [i6]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. CoRR abs/2208.09590 (2022) - [i5]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Causal Inference with Conditional Instruments using Deep Generative Models. CoRR abs/2211.16246 (2022) - 2020
- [c5]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le:
Causal Query in Observational Data with Hidden Variables. ECAI 2020: 2551-2558 - [i4]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le:
Causal query in observational data with hidden variables. CoRR abs/2001.10269 (2020) - [i3]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Towards precise causal effect estimation from data with hidden variables. CoRR abs/2002.10091 (2020) - [i2]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu:
Sufficient Dimension Reduction for Average Causal Effect Estimation. CoRR abs/2009.06444 (2020) - [i1]Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing the Fairness of Classifiers with Collider Bias. CoRR abs/2010.03933 (2020)
2010 – 2019
- 2018
- [j17]Zhenyun Deng, Shichao Zhang, Lifeng Yang, Ming Zong, Debo Cheng:
Sparse sample self-representation for subspace clustering. Neural Comput. Appl. 29(1): 43-49 (2018) - [j16]Shichao Zhang, Yonggang Li, Debo Cheng, Zhenyun Deng, Lifeng Yang:
Efficient subspace clustering based on self-representation and grouping effect. Neural Comput. Appl. 29(1): 51-59 (2018) - [j15]Shichao Zhang, Debo Cheng, Zhenyun Deng, Ming Zong, Xuelian Deng:
A novel kNN algorithm with data-driven k parameter computation. Pattern Recognit. Lett. 109: 44-54 (2018) - [j14]Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng:
Supervised feature selection algorithm via discriminative ridge regression. World Wide Web 21(6): 1545-1562 (2018) - 2017
- [j13]Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang:
Graph self-representation method for unsupervised feature selection. Neurocomputing 220: 130-137 (2017) - [j12]Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang:
Unsupervised feature selection for visual classification via feature-representation property. Neurocomputing 236: 5-13 (2017) - [j11]Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen:
Self-representation dimensionality reduction for multi-model classification. Neurocomputing 253: 154-161 (2017) - [j10]Debo Cheng, Shichao Zhang, Xingyi Liu, Ke Sun, Ming Zong:
Feature selection by combining subspace learning with sparse representation. Multim. Syst. 23(3): 285-291 (2017) - [j9]Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang:
Low-rank unsupervised graph feature selection via feature self-representation. Multim. Tools Appl. 76(9): 12149-12164 (2017) - [j8]Shichao Zhang, Lifeng Yang, Zhenyun Deng, Debo Cheng, Yonggang Li:
Leverage triple relational structures via low-rank feature reduction for multi-output regression. Multim. Tools Appl. 76(16): 17461-17477 (2017) - [j7]Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang:
Low-rank feature selection for multi-view regression. Multim. Tools Appl. 76(16): 17479-17495 (2017) - [j6]Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng:
Double sparse-representation feature selection algorithm for classification. Multim. Tools Appl. 76(16): 17525-17539 (2017) - [j5]Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie:
Spectral clustering based on hypergraph and self-re-presentation. Multim. Tools Appl. 76(16): 17559-17576 (2017) - [j4]Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng:
Learning k for kNN Classification. ACM Trans. Intell. Syst. Technol. 8(3): 43:1-43:19 (2017) - 2016
- [j3]Yonghua Zhu, Zhi Zhong, Wenfei Cao, Debo Cheng:
Graph feature selection for dementia diagnosis. Neurocomputing 195: 19-22 (2016) - [j2]Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao:
Self-representation nearest neighbor search for classification. Neurocomputing 195: 137-142 (2016) - [j1]Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang:
Efficient kNN classification algorithm for big data. Neurocomputing 195: 143-148 (2016) - [c4]Shichao Zhang, Yonggang Li, Debo Cheng, Zhen-Yun Deng:
Hypergraph Spectral Clustering via Sample Self-Representation. FSDM 2016: 334-340 - 2014
- [c3]Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng:
Efficient kNN Algorithm Based on Graph Sparse Reconstruction. ADMA 2014: 356-369 - [c2]Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong:
kNN Algorithm with Data-Driven k Value. ADMA 2014: 499-512 - [c1]Jun Yan, Debo Cheng, Ming Zong, Zhenyun Deng:
Improved Spectral Clustering Algorithm Based on Similarity Measure. ADMA 2014: 641-654
Coauthor Index
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