default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDebo Cheng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
