| 2026 | AAAI | Learning Fair Graph Representations via Probability of Necessity and Sufficiency. | Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu |
| 2026 | AAAI | Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment. | Guixian Zhang, Yanmei Zhang, Guan Yuan, Shang Liu, Xiaojing Du, Debo Cheng |
| 2026 | ACL | Trustworthy and Explainable Causal Representation Learning in Transformers. | Yang Liu, Yinghao Zhang, Lin Liu, Jiuyong Li, Debo Cheng, Zaiwen Feng |
| 2026 | WWW | Beyond Factual Queries: A Novel Predictive Retrieval-Augmented Generation. | Debo Cheng, Jianfeng Deng, Qingfeng Chen, Jinyi Jie, Jiangzhang Gan |
| 2026 | WWW | Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. | Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng |
| 2025 | AAAI | Community-Centric Graph Unlearning. | Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng |
| 2025 | AAAI | Local Causal Discovery Without Causal Sufficiency. | Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu |
| 2025 | ADMA | Interpretable Causal Feature Selection with GCN for Early Diagnosis of Alzheimer's Disease. | Qingfeng Chen, Chuxun Liu, Debo Cheng, Rongyao Hu |
| 2025 | CIKM | Mitigating Latent Confounding Bias in Recommender Systems. | Jianfeng Deng, Qingfeng Chen, Debo Cheng, Xiaojing Du, Jiuyong Li, Lin Liu |
| 2025 | EMNLP | Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems. | Jianfeng Deng, Qingfeng Chen, Debo Cheng, Jiuyong Li, Lin Liu |
| 2025 | ICML | Telling Peer Direct Effects from Indirect Effects in Observational Network Data. | Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu |
| 2025 | IJCAI | Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction. | Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao |
| 2025 | IJCAI | Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems. | Zhirong Huang, Debo Cheng, Lin Liu, Jiuyong Li, Guangquan Lu, Shichao Zhang |
| 2025 | IJCAI | Gradient-based Causal Feature Selection. | Zhaolong Ling, Mengxiang Guo, Xingyu Wu, Debo Cheng, Peng Zhou, Tianci Li, Zhangling Duan |
| 2025 | IJCAI | Hybrid Local Causal Discovery. | Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu |
| 2025 | IJCAI | Causality-Inspired Disentanglement for Fair Graph Neural Networks. | Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang |
| 2025 | WWW | Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. | Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng |
| 2024 | AAAI | 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 |
| 2024 | ADMA | Advancing Aspect-Based Sentiment Analysis Through Deep Learning Models. | Chen Li, Huidong Tang, Jinli Zhang, Xiujing Guo, Debo Cheng, Yasuhiko Morimoto |
| 2024 | APWEB | Multi-view Graph Neural Network for Fair Representation Learning. | Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang |
| 2024 | ICDM | A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. | Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu, Shichao Zhang |
| 2024 | ICLR | Conditional Instrumental Variable Regression with Representation Learning for Causal Inference. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2024 | ICLR | Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. | Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu |
| 2023 | AAAI | Causal Inference with Conditional Instruments Using Deep Generative Models. | Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le |
| 2023 | AAAI | Disentangled Representation for Causal Mediation Analysis. | Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang |
| 2023 | ADMA | Multi-head Similarity Feature Representation and Filtration for Image-Text Matching. | Mengqi Jiang, Shichao Zhang, Debo Cheng, Leyuan Zhang, Guixian Zhang |
| 2023 | APWEB | Multi-branch Residual Fusion Network for Imbalanced Visual Regression. | Zhirong Huang, Shichao Zhang, Debo Cheng, Rongjiao Liang, Mengqi Jiang |
| 2023 | ICDM | 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 |
| 2023 | ICIP | 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 |
| 2023 | ICTAI | LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. | Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang |
| 2023 | ICTAI | 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 |
| 2023 | KSEM | 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 |
| 2023 | KSEM | 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 |
| 2023 | PAKDD | Disentangled Representation with Causal Constraints for Counterfactual Fairness. | Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang |
| 2023 | WISE | 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 |
| 2023 | WISE | 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 |
| 2022 | HPCC | Dynamic Semantic Modeling of Structural Data Sources. | Hailong Chu, Weiming Wu, Wolfgang Mayer, Debo Cheng, Hong-Yu Zhang, Zaiwen Feng |
| 2022 | HPCC | Stable Causal Feature Selection based on Direct Causal Effect Estimation. | Xiaojing Du, Qingfeng Chen, Debo Cheng, Qian Huang, Junyue Cao, Zhenyun Deng, Shichao Zhang |
| 2022 | HPCC | Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation. | Haoran Zhao, Yinghao Zhang, Debo Cheng, Chen Li, Zaiwen Feng |
| 2022 | IJCAI | Ancestral Instrument Method for Causal Inference without Complete Knowledge. | Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu |
| 2022 | IJCAI | Information Augmentation for Few-shot Node Classification. | Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu |
| 2022 | PAKDD | Assessing Classifier Fairness with Collider Bias. | Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang |
| 2020 | ECAI | Causal Query in Observational Data with Hidden Variables. | Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le |
| 2014 | ADMA | kNN Algorithm with Data-Driven k Value. | Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong |
| 2014 | ADMA | Improved Spectral Clustering Algorithm Based on Similarity Measure. | Jun Yan, Debo Cheng, Ming Zong, Zhenyun Deng |
| 2014 | ADMA | Efficient kNN Algorithm Based on Graph Sparse Reconstruction. | Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng |