All Stories

  1. Towards Fair Graph Representation Learning by Overcoming Social Homophily

    Article • ACM Transactions on Intelligent Systems and Technology, February 2026, ACM (Association for Computing Machinery)

    Debo Cheng

  2. Domain Ontology-Driven Knowledge Graph Generation from Text

    Article • ACM Transactions on Probabilistic Machine Learning, December 2025, ACM (Association for Computing Machinery)

    Debo Cheng

  3. Graph Unlearning System with Subgraph De-Isolation Measures

    Article • ACM Transactions on Autonomous and Adaptive Systems, July 2025, ACM (Association for Computing Machinery)

    Yi Li, Debo Cheng

  4. Latent Representation Learning for attributed graph Anomaly Detection

    Article • ACM Transactions on Knowledge Discovery from Data, June 2025, ACM (Association for Computing Machinery)

    Debo Cheng

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

    Article • Proceedings of the AAAI Conference on Artificial Intelligence, March 2024, Association for the Advancement of Artificial Intelligence (AAAI)

    Debo Cheng

  6. An Efficient Matching Method for Causal Inference Using Sufficient Dimension Reduction

    Article • March 2024, Springer Science + Business Media

    Debo Cheng

  7. Ripple Knowledge Graph Convolutional Networks for Recommendation Systems

    Article • Machine Intelligence Research, January 2024, Springer Science + Business Media

    Debo Cheng

  8. Learning fair representations via rebalancing graph structure

    Article • Information Processing & Management, January 2024, Elsevier

    Debo Cheng

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

    Article • ACM Computing Surveys, December 2023, ACM (Association for Computing Machinery)

    Thuc Le, Debo Cheng

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

    Article • December 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

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

    Article • December 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

  12. LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

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

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

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

    Article • October 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

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

    Article • IEEE Transactions on Neural Networks and Learning Systems, September 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

  16. Local Search for Efficient Causal Effect Estimation

    Article • IEEE Transactions on Knowledge and Data Engineering, September 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

  17. Disentangled Representation for Causal Mediation Analysis

    Article • Proceedings of the AAAI Conference on Artificial Intelligence, June 2023, Association for the Advancement of Artificial Intelligence (AAAI)

    Debo Cheng

  18. FPGNN: Fair path graph neural network for mitigating discrimination

    Article • World Wide Web, June 2023, Springer Science + Business Media

    Debo Cheng

  19. Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data

    Article • IEEE Transactions on Neural Networks and Learning Systems, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

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

    Article • January 2023, Springer Science + Business Media

    Debo Cheng

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

    Article • January 2023, Springer Science + Business Media

    Debo Cheng

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

    Article • January 2023, Springer Science + Business Media

    Debo Cheng

  23. Disentangled Representation with Causal Constraints for Counterfactual Fairness

    Article • January 2023, Springer Science + Business Media

    Debo Cheng

  24. FastAGEDs: Fast Approximate Graph Entity Dependency Discovery

    Article • January 2023, Springer Science + Business Media

    Debo Cheng

  25. Learning Conditional Instrumental Variable Representation for Causal Effect Estimation

    Article • January 2023, Springer Science + Business Media

    Debo Cheng

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

    Article • January 2023, Springer Science + Business Media

    Debo Cheng

  27. Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation

    Article • December 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

  28. Stable Causal Feature Selection based on Direct Causal Effect Estimation

    Article • December 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

  29. Dynamic Semantic Modeling of Structural Data Sources

    Article • December 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Debo Cheng

  30. Ancestral Instrument Method for Causal Inference without Complete Knowledge

    Article • July 2022, International Joint Conferences on Artificial Intelligence

    Debo Cheng

  31. Information Augmentation for Few-shot Node Classification

    Article • July 2022, International Joint Conferences on Artificial Intelligence

    Debo Cheng

  32. Sufficient dimension reduction for average causal effect estimation

    Article • Data Mining and Knowledge Discovery, April 2022, Springer Science + Business Media

    Debo Cheng

  33. Assessing Classifier Fairness with Collider Bias

    Article • January 2022, Springer Science + Business Media

    Debo Cheng

  34. Application of ToF-SIMS to predict contact angles of pyrite particles

    Article • Minerals Engineering, March 2020, Elsevier

    Debo Cheng

  35. Causal Query in Observational Data with Hidden Variables

    Article • January 2020, IOS Press

    Debo Cheng

  36. A novel k NN algorithm with data-driven k parameter computation

    Article • Pattern Recognition Letters, July 2018, Elsevier

    Debo Cheng

  37. Supervised feature selection algorithm via discriminative ridge regression

    Article • World Wide Web, October 2017, Springer Science + Business Media

    Debo Cheng

  38. Self-representation dimensionality reduction for multi-model classification

    Article • Neurocomputing, August 2017, Elsevier

    Debo Cheng

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

    Article • Neurocomputing, May 2017, Elsevier

    Debo Cheng

  40. Learning k for kNN Classification

    Article • ACM Transactions on Intelligent Systems and Technology, April 2017, ACM (Association for Computing Machinery)

    Debo Cheng, Debo Cheng

  41. Graph self-representation method for unsupervised feature selection

    Article • Neurocomputing, January 2017, Elsevier

    Debo Cheng

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

    Article • Multimedia Tools and Applications, December 2016, Springer Science + Business Media

    Debo Cheng

  43. Double sparse-representation feature selection algorithm for classification

    Article • Multimedia Tools and Applications, December 2016, Springer Science + Business Media

    Debo Cheng

  44. Low-rank feature selection for multi-view regression

    Article • Multimedia Tools and Applications, November 2016, Springer Science + Business Media

    Debo Cheng

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

    Article • Multimedia Tools and Applications, October 2016, Springer Science + Business Media

    Debo Cheng

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

    Article • Multimedia Tools and Applications, September 2016, Springer Science + Business Media

    Debo Cheng

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

    Article • Neural Computing and Applications, June 2016, Springer Science + Business Media

    Debo Cheng

  48. Sparse sample self-representation for subspace clustering

    Article • Neural Computing and Applications, June 2016, Springer Science + Business Media

    Debo Cheng

  49. Efficient kNN classification algorithm for big data

    Article • Neurocomputing, June 2016, Elsevier

    Debo Cheng

  50. Graph feature selection for dementia diagnosis

    Article • Neurocomputing, June 2016, Elsevier

    Debo Cheng

  51. Self-representation nearest neighbor search for classification

    Article • Neurocomputing, June 2016, Elsevier

    Debo Cheng

  52. Hypergraph Spectral Clustering via Sample Self-Representation

    Article • January 2016, IOS Press

    Debo Cheng

  53. Feature selection by combining subspace learning with sparse representation

    Article • Multimedia Systems, October 2015, Springer Science + Business Media

    Debo Cheng

  54. kNN Algorithm with Data-Driven k Value

    Article • January 2014, Springer Science + Business Media

    Debo Cheng

  55. Improved Spectral Clustering Algorithm Based on Similarity Measure

    Article • January 2014, Springer Science + Business Media

    Debo Cheng

  56. Efficient kNN Algorithm Based on Graph Sparse Reconstruction

    Article • January 2014, Springer Science + Business Media

    Debo Cheng