All Stories

  1. CrunchLLM: Multitask LLMs for structured business reasoning and outcome prediction

    Article • Neurocomputing, July 2026, Elsevier

    Qiang Cheng Cheng

  2. TabNSA: Native sparse attention for efficient tabular data learning

    Article • Neurocomputing, April 2026, Elsevier

    Qiang Cheng Cheng

  3. Prototype–based continual learning for single-cell annotation

    Article • March 2026, openRxiv

    Qiang Cheng Cheng

  4. CausalGenDiff: Generative causal diffusion bridges scRNA-seq and spatial transcriptomics

    Article • Journal of Biomedical Informatics, January 2026, Elsevier

    Qiang Cheng Cheng

  5. Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation

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

    ATHANASIOS VASILAKOS, Qiang Cheng Cheng, Zhixiang Ren

  6. TabKAN: Advancing tabular data analysis using Kolmogorov-Arnold Network

    Article • Machine Learning for Computational Science and Engineering, November 2025, Springer Science + Business Media

    Qiang Cheng Cheng

  7. Few-Shot Generalization to Novel Compounds in Single-Cell Drug Response via Graph-Infused Meta-Pretraining

    Article • IEEE Transactions on Computational Biology and Bioinformatics, November 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  8. PROTECT: Protein circadian time prediction using unsupervised learning

    Article • iScience, October 2025, Elsevier

    Qiang Cheng Cheng

  9. Simulating realistic surgeon decisions and actions in immersive medical distance education with XR and AI

    Article • Interactive Learning Environments, September 2025, Taylor & Francis

    Qiang Cheng Cheng, Yves NKULU-ILY

  10. CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation

    Article • August 2025, ACM (Association for Computing Machinery)

    Qiang Cheng Cheng

  11. TSCMamba: Mamba meets multi-view learning for time series classification

    Article • Information Fusion, August 2025, Elsevier

    Qiang Cheng Cheng

  12. Five‐Gene Expression Formula Accurately Detects Hepatocellular Carcinoma Tumors

    Article • Biotechnology Journal, July 2025, Wiley

    Qiang Cheng Cheng

  13. Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective

    Article • Briefings in Bioinformatics, March 2025, Oxford University Press (OUP)

    Qiang Cheng Cheng

  14. TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach

    Article • Pattern Analysis and Applications, February 2025, Springer Science + Business Media

    Qiang Cheng Cheng

  15. Gene expression clock: an unsupervised deep learning approach for predicting circadian rhythmicity from whole genome expression

    Article • Neural Computing and Applications, August 2024, Springer Science + Business Media

    Qiang Cheng Cheng

  16. Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering

    Article • IEEE Transactions on Image Processing, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  17. Support Vector Regression-Based Reduced- Reference Perceptual Quality Model for Compressed Point Clouds

    Article • IEEE Transactions on Multimedia, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  18. New Models Can Reliably Predict How Soon Alzheimer's Disease will Deteriorate for an Individual

    Article • Journal of Alzheimer’s Disease, November 2022, IOS Press

    Qiang Cheng Cheng

  19. Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expression

    Article • PLOS One, September 2021, PLOS

    Qiang Cheng Cheng

  20. Integrate and Conquer

    Article • ACM Transactions on Intelligent Systems and Technology, September 2018, ACM (Association for Computing Machinery)

    Mr zhao kang, Qiang Cheng Cheng

  21. The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, June 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  22. Generalized Embedding of Multiplicative Watermarks

    Article • IEEE Transactions on Circuits and Systems for Video Technology, July 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  23. A Novel Distributed Sensor Positioning System Using the Dual of Target Tracking

    Article • IEEE Transactions on Computers, February 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  24. Landscape-3D; A Robust Localization Scheme for Sensor Networks over Complex 3D Terrains

    Article • November 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  25. Robust optimum detection of transform domain multiplicative watermarks

    Article • IEEE Transactions on Signal Processing, April 2003, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  26. Optimum detection and decoding of multiplicative watermarks in DFT domain

    Article • May 2002, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  27. An additive approach to transform-domain information hiding and optimum detection structure

    Article • IEEE Transactions on Multimedia, January 2001, Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  28. A lossless data embedding scheme for medical images in application of e-diagnosis

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  29. Blind digital watermarking for images and videos and performance analysis

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng

  30. Spread spectrum signaling for speech watermarking

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Qiang Cheng Cheng