Debo Cheng - RankMe

150 papers A* 23A 2B 5C 3Journal 100Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A multi-view graph neural network with subgraph variational autoencoder for class-Imbalanced node classification. Knowl. Based Syst. Longqing Du, Zhirong Huang, Jiecheng Li, Guixian Zhang, Debo Cheng, Guangquan Lu, Shichao Zhang
2026	A*	`conf`	Beyond Factual Queries: A Novel Predictive Retrieval-Augmented Generation. WWW Debo Cheng, Jianfeng Deng, Qingfeng Chen, Jinyi Jie, Jiangzhang Gan
2026	J	`jnl`	Counterfactual samples constructing and training for commonsense statements estimation. Inf. Process. Manag. Chong Liu, Zaiwen Feng, Zhenyun Deng, Lin Liu, Jiuyong Li, Ruifang Zhai, Debo Cheng, Li Qin
2026	J	`jnl`	DSCA-former: Dual-stem cross-attentive transformer for image denoising. Neurocomputing Yuxuan Hu, Debo Cheng, Zhirong Huang, Boyan Chen, Shilong Lin, Shichao Zhang
2026	J	`jnl`	Data augmentation with attentional feature aggregation for node classification in GNNs. Inf. Fusion Guangquan Lu, Shilong Lin, Yuxuan Hu, Debo Cheng, Chen Li, Shichao Zhang
2026	J	`jnl`	Disentangled Instrumental Variables for Causal Inference with Networked Observational Data. CoRR Zhirong Huang, Debo Cheng, Guixian Zhang, Yi Wang, Jiuyong Li, Shichao Zhang
2026	J	`jnl`	GenGCL: Generative graph contrastive learning for enhancing recommender systems. Neurocomputing Pingfan Su, Debo Cheng, Wenzhen Zhang, Qian Zhang, Shichao Zhang
2026	J	`jnl`	Graph Unlearning System with Subgraph De-Isolation Measures. ACM Trans. Auton. Adapt. Syst. Yi Li, Debo Cheng, Guixian Zhang, Chengyu Li, Shichao Zhang
2026	A*	`conf`	Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. WWW Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng
2026	J	`jnl`	Identifying the Group to Intervene on to Maximise Effect Under Cross-Group Interference. CoRR Xiaojing Du, Jiuyong Li, Lin Liu, Debo Cheng, Jixue Liu, Thuc Duy Le
2026	A*	`conf`	Learning Fair Graph Representations via Probability of Necessity and Sufficiency. AAAI Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu
2026	J	`jnl`	Learning fair representation for fine-tuning pre-trained language models. Neural Networks Ke Wang, Yinghao Zhang, Hong-Yu Zhang, Lin Liu, Jiuyong Li, Zaiwen Feng, Debo Cheng
2026	J	`jnl`	Learning instrumental variable representation for debiasing in recommender systems. Neural Networks Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu, Guixian Zhang
2026	J	`jnl`	Linking model intervention to causal interpretation in model explanation. Pattern Recognit. Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2026	J	`jnl`	Multi-view debiasing representation learning for recommender systems. Inf. Process. Manag. Qingfeng Chen, Jianfeng Deng, Debo Cheng, Jiuyong Li, Lin Liu
2026	A*	`conf`	Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment. AAAI Guixian Zhang, Yanmei Zhang, Guan Yuan, Shang Liu, Xiaojing Du, Debo Cheng
2026	J	`jnl`	One-step negative learning via structured suppression for robust classification with noisy labels. Knowl. Based Syst. Wenzhen Zhang, Debo Cheng, Jiaye Li, Shichao Zhang
2026	J	`jnl`	Toward fair graph neural networks via dual-teacher knowledge distillation. Neural Networks Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang
2026	J	`jnl`	Towards Fair Graph Representation Learning by Overcoming Social Homophily. ACM Trans. Intell. Syst. Technol. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2026	J	`jnl`	Towards robust graph-level anomaly detection via counterfactual augmentation. Knowl. Based Syst. Qingfeng Chen, Haojin Zeng, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2025	J	`jnl`	A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems. CoRR Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2025	A*	`conf`	Causality-Inspired Disentanglement for Fair Graph Neural Networks. IJCAI Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang
2025	J	`jnl`	Certainty-aware support vector machines for fair classification. Neurocomputing Boyan Chen, Yuxuan Hu, Guixian Zhang, Debo Cheng, Shichao Zhang
2025	A*	`conf`	Community-Centric Graph Unlearning. AAAI Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng
2025	J	`jnl`	Data-driven learning optimal K values for K-nearest neighbour matching in causal inference. Data Min. Knowl. Discov. Yinghao Zhang, Tingting Xu, Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Zaiwen Feng
2025	J	`jnl`	DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection. CoRR Qingfeng Chen, Haojin Zeng, Jingyi Jie, Shichao Zhang, Debo Cheng
2025	A*	`conf`	Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction. IJCAI Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao
2025	J	`jnl`	Deconfounding representation learning for mitigating latent confounding effects in recommendation. Knowl. Inf. Syst. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang
2025	J	`jnl`	Disentangled Representation Learning for Causal Inference With Instruments. IEEE Trans. Neural Networks Learn. Syst. Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le
2025	J	`jnl`	Disentangled contrastive learning for fair graph representations. Neural Networks Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2025	J	`jnl`	Efficient Adaptive Label Refinement for Label Noise Learning. CoRR Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, Shichao Zhang
2025	J	`jnl`	Efficient Adaptive Label Refinement for label noise learning. Neurocomputing Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, Shichao Zhang
2025	A*	`conf`	Gradient-based Causal Feature Selection. IJCAI Zhaolong Ling, Mengxiang Guo, Xingyu Wu, Debo Cheng, Peng Zhou, Tianci Li, Zhangling Duan
2025	J	`jnl`	Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. CoRR Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng
2025	A*	`conf`	Hybrid Local Causal Discovery. IJCAI Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu
2025	J	`jnl`	Identifying local useful information for attribute graph anomaly detection. Neurocomputing Penghui Xi, Debo Cheng, Guangquan Lu, Zhenyun Deng, Guixian Zhang, Shichao Zhang
2025	A*	`conf`	Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems. IJCAI Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang
2025	—	`conf`	Interpretable Causal Feature Selection with GCN for Early Diagnosis of Alzheimer's Disease. ADMA (3) Qingfeng Chen, Chuxun Liu, Debo Cheng, Rongyao Hu
2025	J	`jnl`	Latent Representation Learning for Attributed Graph Anomaly Detection. ACM Trans. Knowl. Discov. Data Shichao Zhang, Penghui Xi, Mengqi Jiang, Guixian Zhang, Debo Cheng
2025	J	`jnl`	Learning Fair Graph Representations with Multi-view Information Bottleneck. CoRR Chuxun Liu, Debo Cheng, Qingfeng Chen, Jiangzhang Gan, Jiuyong Li, Lin Liu
2025	J	`jnl`	Leveraging Deep Neural Networks for Aspect-Based Sentiment Classification. CoRR Chen Li, Debo Cheng, Yasuhiko Morimoto
2025	J	`jnl`	Leveraging long-range nodes in multi-view graph contrastive learning. Inf. Fusion Ludan He, Debo Cheng, Guixian Zhang, Shichao Zhang
2025	A*	`conf`	Local Causal Discovery Without Causal Sufficiency. AAAI Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu
2025	A*	`conf`	Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems. EMNLP Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu
2025	J	`jnl`	Mining area skyline objects from map-based big data using Apache Spark framework. Array Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto
2025	A	`conf`	Mitigating Latent Confounding Bias in Recommender Systems. CIKM Jianfeng Deng, Qingfeng Chen, Debo Cheng, Xiaojing Du, Jiuyong Li, Lin Liu
2025	J	`jnl`	Mitigating Propensity Bias of Large Language Models for Recommender Systems. ACM Trans. Inf. Syst. Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2025	J	`jnl`	Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. Knowl. Based Syst. Zhirong Huang, Yuxuan Hu, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang, Shichao Zhang
2025	A*	`conf`	Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. WWW Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng
2025	J	`jnl`	Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders. CoRR Xiaojing Du, Jiuyong Li, Lin Liu, Debo Cheng, Thuc Duy Le
2025	J	`jnl`	ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models. CoRR Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan
2025	A*	`conf`	Telling Peer Direct Effects from Indirect Effects in Observational Network Data. ICML Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu
2024	J	`jnl`	A Deconfounding Approach to Climate Model Bias Correction. CoRR Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen
2024	A*	`conf`	A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. ICDM Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang
2024	—	`conf`	Advancing Aspect-Based Sentiment Analysis Through Deep Learning Models. ADMA (5) Chen Li, Huidong Tang, Jinli Zhang, Xiujing Guo, Debo Cheng, Yasuhiko Morimoto
2024	—	`conf`	CaEXR: A Joint Extraction Framework for Causal Relationships Based on Word-Pair Network. ICIC (LNAI 4) Chong Liu, Wenxiang Fang, Debo Cheng, Ruifang Zhai, Li Qin
2024	J	`jnl`	Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables. CoRR Yang Xie, Ziqi Xu, Debo Cheng, Jiuyong Li, Lin Liu, Yinghao Zhang, Zaiwen Feng
2024	A*	`conf`	Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. ICLR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2024	J	`jnl`	Community-Centric Graph Unlearning. CoRR Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng
2024	A*	`conf`	Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. ICLR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2024	J	`jnl`	Contrastive learning for fair graph representations via counterfactual graph augmentation. Knowl. Based Syst. Chengyu Li, Debo Cheng, Guixian Zhang, Shichao Zhang
2024	J	`jnl`	Counterfactual Samples Constructing and Training for Commonsense Statements Estimation. CoRR Chong Liu, Zaiwen Feng, Lin Liu, Zhenyun Deng, Jiuyong Li, Ruifang Zhai, Debo Cheng, Li Qin
2024	J	`jnl`	Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. ACM Comput. Surv. Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2024	J	`jnl`	Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems. CoRR Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu
2024	J	`jnl`	Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems. CoRR Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang
2024	J	`jnl`	Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data. IEEE Trans. Neural Networks Learn. Syst. Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2024	J	`jnl`	Disentangled Representation Learning for Causal Inference with Instruments. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le
2024	J	`jnl`	Enhancing the Performance of Aspect-Based Sentiment Analysis Systems. CoRR Chen Li, Huidong Tang, Peng Ju, Debo Cheng, Yasuhiko Morimoto
2024	J	`jnl`	Estimating Peer Direct and Indirect Effects in Observational Network Data. CoRR Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen
2024	A*	`conf`	Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. AAAI Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le
2024	J	`jnl`	Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Xudong Guo, Shichao Zhang
2024	J	`jnl`	Learning fair representations via rebalancing graph structure. Inf. Process. Manag. Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang
2024	J	`jnl`	Linking Model Intervention to Causal Interpretation in Model Explanation. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2024	J	`jnl`	Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework. CoRR Chen Li, Ye Zhu, Yang Cao, Jinli Zhang, Annisa, Debo Cheng, Yasuhiko Morimoto
2024	J	`jnl`	Mitigating Dual Latent Confounding Biases in Recommender Systems. CoRR Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu, Xiaojing Du
2024	J	`jnl`	Mitigating Propensity Bias of Large Language Models for Recommender Systems. CoRR Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2024	J	`jnl`	Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. CoRR Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang
2024	—	`conf`	Multi-view Graph Neural Network for Fair Representation Learning. APWeb/WAIM (3) Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang
2024	J	`jnl`	Ripple Knowledge Graph Convolutional Networks for Recommendation Systems. Mach. Intell. Res. Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto
2024	J	`jnl`	TSI: A Multi-View Representation Learning Approach for Time Series Forecasting. CoRR Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
2024	—	`conf`	TSI: A Multi-view Representation Learning Approach for Time Series Forecasting. AI (1) Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
2024	J	`jnl`	Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation. CoRR Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang
2024	J	`jnl`	Towards Fair Graph Representation Learning in Social Networks. CoRR Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang
2023	B	`conf`	A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. WISE Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng
2023	—	`conf`	A Reinforcement Learning-Based Approach for Continuous Knowledge Graph Construction. KSEM (4) Jiao Luo, Yitao Zhang, Ying Wang, Wolfgang Mayer, Ningpei Ding, Xiaoxia Li, Yuan Quan, Debo Cheng, Hong-Yu Zhang, Zaiwen Feng
2023	—	`conf`	An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. KSEM (4) Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto
2023	J	`jnl`	Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2023	J	`jnl`	Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
2023	A*	`conf`	Causal Inference with Conditional Instruments Using Deep Generative Models. AAAI Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2023	—	`conf`	Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction. BIBM Wenting Ye, Chen Li, Yang Xie, Wen Zhang, Hong-Yu Zhang, Bowen Wang, Debo Cheng, Zaiwen Feng
2023	J	`jnl`	Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2023	A*	`conf`	Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. ICDM Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng
2023	J	`jnl`	Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. CoRR Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng
2023	A*	`conf`	Disentangled Representation for Causal Mediation Analysis. AAAI Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
2023	J	`jnl`	Disentangled Representation for Causal Mediation Analysis. CoRR Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang
2023	—	`conf`	Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2023	J	`jnl`	FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery. CoRR Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Debo Cheng, Keqing He, Zaiwen Feng
2023	J	`jnl`	FPGNN: Fair path graph neural network for mitigating discrimination. World Wide Web (WWW) Guixian Zhang, Debo Cheng, Shichao Zhang
2023	B	`conf`	FastAGEDs: Fast Approximate Graph Entity Dependency Discovery. WISE Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng
2023	J	`jnl`	Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le
2023	B	`conf`	LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. ICTAI Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang
2023	—	`conf`	Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. ECML/PKDD (1) Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
2023	J	`jnl`	Learning Conditional Instrumental Variable Representation for Causal Effect Estimation. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
2023	J	`jnl`	Local Search for Efficient Causal Effect Estimation. IEEE Trans. Knowl. Data Eng. Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le
2023	B	`conf`	MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection. ICTAI Zhongyi Yu, Debo Cheng, Wenzhen Zhang, Jing Chen, Shichao Zhang
2023	J	`jnl`	Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation. CoRR Haoran Zhao, Yinghao Zhang, Debo Cheng, Chen Li, Zaiwen Feng
2023	—	`conf`	Multi-branch Residual Fusion Network for Imbalanced Visual Regression. APWeb-WAIM (1) Zhirong Huang, Shichao Zhang, Debo Cheng, Rongjiao Liang, Mengqi Jiang
2023	—	`conf`	Multi-head Similarity Feature Representation and Filtration for Image-Text Matching. ADMA (2) Mengqi Jiang, Shichao Zhang, Debo Cheng, Leyuan Zhang, Guixian Zhang
2023	J	`jnl`	Research And Implementation Of Drug Target Interaction Confidence Measurement Method Based On Causal Intervention. CoRR Wenting Ye, Bowen Wang, Yang Xie, Debo Cheng, Zaiwen Feng
2023	J	`jnl`	Ripple Knowledge Graph Convolutional Networks For Recommendation Systems. CoRR Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto
2023	B	`conf`	SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection. ICIP Jing Chen, Debo Cheng, Jiacheng Jiang, Zhongyi Yu, Shichao Zhang
2023	J	`jnl`	Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables. IEEE Trans. Neural Networks Learn. Syst. Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2022	A*	`conf`	Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
2022	J	`jnl`	Ancestral instrument method for causal inference without a causal graph. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu
2022	—	`conf`	Assessing Classifier Fairness with Collider Bias. PAKDD (2) Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2022	J	`jnl`	Causal Inference with Conditional Instruments using Deep Generative Models. CoRR Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2022	J	`jnl`	Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
2022	J	`jnl`	Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2022	J	`jnl`	Disentangled Representation with Causal Constraints for Counterfactual Fairness. CoRR Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2022	—	`conf`	Dynamic Semantic Modeling of Structural Data Sources. HPCC/DSS/SmartCity/DependSys Hailong Chu, Weiming Wu, Wolfgang Mayer, Debo Cheng, Hong-Yu Zhang, Zaiwen Feng
2022	A*	`conf`	Information Augmentation for Few-shot Node Classification. IJCAI Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu
2022	—	`conf`	Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation. HPCC/DSS/SmartCity/DependSys Haoran Zhao, Yinghao Zhang, Debo Cheng, Chen Li, Zaiwen Feng
2022	—	`conf`	Stable Causal Feature Selection based on Direct Causal Effect Estimation. HPCC/DSS/SmartCity/DependSys Xiaojing Du, Qingfeng Chen, Debo Cheng, Qian Huang, Junyue Cao, Zhenyun Deng, Shichao Zhang
2022	J	`jnl`	Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu
2020	J	`jnl`	Assessing the Fairness of Classifiers with Collider Bias. CoRR Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
2020	A	`conf`	Causal Query in Observational Data with Hidden Variables. ECAI Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
2020	J	`jnl`	Causal query in observational data with hidden variables. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
2020	J	`jnl`	Sufficient Dimension Reduction for Average Causal Effect Estimation. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu
2020	J	`jnl`	Towards precise causal effect estimation from data with hidden variables. CoRR Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
2018	J	`jnl`	A novel Pattern Recognit. Lett. Shichao Zhang, Debo Cheng, Zhenyun Deng, Ming Zong, Xuelian Deng
2018	J	`jnl`	Efficient subspace clustering based on self-representation and grouping effect. Neural Comput. Appl. Shichao Zhang, Yonggang Li, Debo Cheng, Zhenyun Deng, Lifeng Yang
2018	J	`jnl`	Sparse sample self-representation for subspace clustering. Neural Comput. Appl. Zhenyun Deng, Shichao Zhang, Lifeng Yang, Ming Zong, Debo Cheng
2018	J	`jnl`	Supervised feature selection algorithm via discriminative ridge regression. World Wide Web Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng
2017	J	`jnl`	Double sparse-representation feature selection algorithm for classification. Multim. Tools Appl. Yonghua Zhu, Xuejun Zhang, Guoqiu Wen, Wei He, Debo Cheng
2017	J	`jnl`	Feature selection by combining subspace learning with sparse representation. Multim. Syst. Debo Cheng, Shichao Zhang, Xingyi Liu, Ke Sun, Ming Zong
2017	J	`jnl`	Graph self-representation method for unsupervised feature selection. Neurocomputing Rongyao Hu, Xiaofeng Zhu, Debo Cheng, Wei He, Yan Yan, Jingkuan Song, Shichao Zhang
2017	J	`jnl`	Learning ACM Trans. Intell. Syst. Technol. Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng
2017	J	`jnl`	Leverage triple relational structures via low-rank feature reduction for multi-output regression. Multim. Tools Appl. Shichao Zhang, Lifeng Yang, Zhenyun Deng, Debo Cheng, Yonggang Li
2017	J	`jnl`	Low-rank feature selection for multi-view regression. Multim. Tools Appl. Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang
2017	J	`jnl`	Low-rank unsupervised graph feature selection via feature self-representation. Multim. Tools Appl. Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2017	J	`jnl`	Self-representation dimensionality reduction for multi-model classification. Neurocomputing Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen
2017	J	`jnl`	Spectral clustering based on hypergraph and self-re-presentation. Multim. Tools Appl. Yonggang Li, Shichao Zhang, Debo Cheng, Wei He, Guoqiu Wen, Qing Xie
2017	J	`jnl`	Unsupervised feature selection for visual classification via feature-representation property. Neurocomputing Wei He, Xiaofeng Zhu, Debo Cheng, Rongyao Hu, Shichao Zhang
2016	J	`jnl`	Efficient kNN classification algorithm for big data. Neurocomputing Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang
2016	J	`jnl`	Graph feature selection for dementia diagnosis. Neurocomputing Yonghua Zhu, Zhi Zhong, Wenfei Cao, Debo Cheng
2016	—	`conf`	Hypergraph Spectral Clustering via Sample Self-Representation. FSDM Shichao Zhang, Yonggang Li, Debo Cheng, Zhen-Yun Deng
2016	J	`jnl`	Self-representation nearest neighbor search for classification. Neurocomputing Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao
2014	C	`conf`	Efficient kNN Algorithm Based on Graph Sparse Reconstruction. ADMA Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng
2014	C	`conf`	Improved Spectral Clustering Algorithm Based on Similarity Measure. ADMA Jun Yan, Debo Cheng, Ming Zong, Zhenyun Deng
2014	C	`conf`	kNN Algorithm with Data-Driven k Value. ADMA Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong