Associate Professor Xiaodi Huang is based in the School of Computing and Mathematics at Charles Sturt University, Australia.

Dr Huang holds a B.Sc. in Physics, an M.Phil. in Computers in Education, and a PhD in Computer Science. His research focuses on developing novel algorithms, machine learning methodologies, and practical intelligent systems to address real-world challenges. His research interests include artificial intelligence, applied machine learning, visual data analysis, graph neural networks, and multimodal learning, with interdisciplinary applications in healthcare, medical imaging, bioinformatics, agriculture, and education.

Dr Huang has authored more than 200 scholarly publications in leading international journals and conference proceedings, including prestigious IEEE Transactions (IEEE Trans.) journals, ACM Transactions (ACM Trans.) journals, Nucleic Acids Research, and premier international conferences such as the International Conference on Machine Learning (ICML) and the International Joint Conference on Artificial Intelligence (IJCAI). His publications include work in IEEE Trans. Knowl. Data Eng., IEEE Trans. Image Process., IEEE Trans. Cybern., IEEE Trans. Affect. Comput., IEEE Trans. Big Data, IEEE Trans. Learn. Technol., IEEE Transactions on Reliability, IEEE Trans. Comput. Biol. Bioinform., and ACM Trans. Web, including a sole-authored publication in the latter. His research has attracted more than AUD 1.5 million in competitive funding from research agencies, industry partners, and Cooperative Research Centres (CRCs).

Dr Huang serves as an editor for several international journals and contributes actively to the global research community through academic leadership, invited keynote presentations, special issue editorship, peer review, and committee and chair roles at major international conferences.  

He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the Association for Computing Machinery (ACM). Further information about his research, publications, and professional activities is available on his academic homepage. 

Corresponding Address:

 School of Computing and Mathematics

Charles Sturt University

Albury, NSW, 2640
AUSTRALIA

E-mail:

xhuang at csu dot edu dot au

Tel: 02 60519652 (o)

CURRENT TEACHING SUBJECTS

• ITC 212 Internet Technology

• ITC 106/558 Programming Principles

• ITC 544 IT Fundamentals

• ITC 556 Database Systems

• ITC 294 Web Programming in the Cloud

RESEARCH INTERESTS

• Applied Machine Learning

• Data Analysis and Visualization

• Computer Applications

• Web Services

SELECTED PUBLICATIONS

A. Refereed Chapters and Book

1. Anwar H. Masud, Xiaodi Huang, Strategies and Practice of Cloud-Based Learning Environment Implementation, Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes, ISBN-13: 978-14666992432016, pp. 42-63, 2016, IGI Global.

2. Anwar H. Masud, Xiaodi Huang, ESaaS: A New Education Software Model in E-learning Systems, Information and Management Engineering Communications in Computer and Information Science, ISBN 978-3-642-24021-8, pp.468-475, 2011, Springer.

3. Xiaodi Huang, WSRank: A New Algorithm for Ranking Web Services, New Technologies, Mobility and Security, H. Labiodand M. Badra eds., ISBN 978-1-4020-6269-8, pp.535-546, 2007, Springer.

4. Xiaodi Huang, Jinsong Bao, Xiaoling Dai, Edwin Singh, Weidong Huang, Changqin Huang, M&E-NetPay: A Micropayment System for Mobile and Electronic Commerce (Selected), 169, Chapter 2: Applications, Symmetry Measures on Complex Networks, Angel Garrido (Ed.) ISBN 978-3-03842-498-7, 2017 MDPI.

5. Xiaodi Huang, Wei Lai, Web Graph Clustering for Displays and Navigation of Cyberspace, Web Mining: Applications and Techniques, Edited by Dr Anthony Scime. ISBN 1-59140-415-0, pp.253-274, 2004, Idea Group Inc.

6. Xiaodi Huang, Graph Visualization: Filtering, Clustering and Dynamic Layout of Graphs in the WWW, VDM Verlag, 2009, ISBN 978-3-639-16606-4, 278 pages.

Refereed Journal Articles

1. C. Huang, L. Huang, C. Guo, X. Huang, Multi-label feature selection via pseudo-label dependence and dual hypergraph regularization, Chemometrics and Intelligent Laboratory Systems,doi.org/10.1016/j.chemolab.2026.105919, 105919, 2026 (IF 3.8, Q2)

2. J. Chen, Y. Tu, Q. Huang, Q. Huang. X Wang, X Huang, C Huang, SMART-Edit: Spectral Mutual Attention Refinement and Fusion for Precise Training-Free Image Editing, Pattern Recognition, 115025, doi.org/10.1016/j.patcog.2026.115025 (IF9.1, Q1)

3. Q Yan, Q Lin, T Li, Y Fu, Y Cao, C Liu, Z Cai, X Huang, A deep learning framework with directional perception and spatial focusing for enhanced low-dose CT image denoising, EJNMMI Physics (2026). https://doi.org/10.1186/s40658-026-00945-6 (IF3.5, Q1)

4. X. Chen, Z. Chen, E. Ji, C. Xiao, L. Zhao, X. Huang, Single-Phase Incomplete Multi-view Clustering via Joint Anchor Refactoring and Tensorial Bipartite Graph Learning, Neural Networks, DOI: 10.1016/j.neunet.2026.109618(IF 7.2, Q1)

5. Li Wang, Q Lin, Y Zhao, T Li, Pi Yang, X Li, X Huang, COTA: Color-guided Optimal Transport Attention for Arbitrary Style Transfer, Array,101197, doi.org/10.1016/j.array.2026.101197 (IF 5.3, Q1)

6. Deep Learning-based Diagnostic Report Generation for Low-Resolution Functional Medical Images via Cross-Modal Visual and Textual Alignment, Applied Intelligence,10.1007/s10489-026-07456-y, Vol. 56, 421(IF 3.5, Q2)

7. C Huang, J Sun, C Guo, D Zhang, Q Huang, X Huang, Multi-label feature selection via pseudo-label ensemble and label information enhancement, Neurocomputing, Vol. 703, doi.org/10.1016/j.neucom.2026.134763 (IF 6.7, Q1)

8. LM Schmidtke, W Jia, X Huang, L Zheng, WA Donald, Ambient and direct mass spectrometry for untargeted metabolomics: experimental design, preprocessing and data modelling, TrAC Trends in Analytical Chemistry 203 (119000), 1-16, doi.org/10.1016/j.trac.2026.119000 (IF 13.5, Q1)

9. C Huang, X Cheng, Y Wang, H Zeng, X Huang, Q Huang, Affect is Key: Enhancing Knowledge Tracing with Hypergraph-based Affective State Modeling, Expert Systems with Applications, 133323, 10.1016/j.eswa.2026.133323 (IF 9.4, Q1)

10. C Guo, Z Li, C Huang, X Huang, CEBP-HG: Hypergraph-regularized multi-subspace ensemble learning for robust unsupervised feature selection, Applied Soft Computing 201, 1-19,2026, DOI: 10.1016/j.asoc.2026.115691 (IF 7.8, Q1)

11. Q Hua, Y Su, F Jiang, X Huang, Q Huang, C Huang, NEXPRO: Multimodal Negative Expression Prompting for Open-Set Video-based Facial Expression Recognition, Expert Systems with Applications, 133174, 1-12, 2026, DOI: 10.1016/j.eswa.2026.133174 (IF 9.4, Q1)

12. C Xue, Y Cao, J Mao, Q Lin, Z Zhao, Y Bai, C Liu, X Huang, BAM-UNet: Boundary-Aware Multimodal Fusion for Accurate Lung Tumor Segmentation in PET/CT, Physica Scripta,2026, (Q2)

13. J Chen, H Zeng, C Huang, Q Huang, Z Li, X Huang, Context-Aware Latent Space Mediation for Inference-Time Unbiased Semantic Alignment in Text-to-Image Models, Expert Systems with Applications, 1-15, 2026, DOI: 10.1016/j.eswa.2026.133019 (IF 9.4, Q1)

14. W Zhai, K Jiao, N Wang, L Yu, X Huang, W Li, C Hu, X Chen, B Zhu,J. Zhang, X. Chang, H. Zhong, C. Zhao, Z. Huang, G. Yang, Shanfeng Zhu, W. Zhu, PhenoRareAI: Phenotype-based intelligent diagnosis for rare neuromuscular disorders of glycogen storage disease and spinal muscular atrophy, Health Information Science and Systems 14 (58) (IF 3.4, Q2)

15. S Yin, Q Lin, J Wei, Y Cao, T Li, C Liu, Z Cai, Z Zhao, X Huang, iMamba-Seg: An Interactive Mamba-based Framework for 3D Lesion Segmentation in Low-resolution Functional Medical Images, Knowledge-Based Systems 343 (116041), 1-25, (IF 8.8, Q1)

16. C Guo, C Huang, Z Li, X Huang, FWHSR: An Unsupervised Feature Selection Framework via Feature-Weighted Hypergraph and Clustering Similarity Self-Representation, Neurocomputing,133507, https://doi.org/10.1016/j.neucom.2026.133507(IF 6.5, Q1)

17. L Wang, Q Lin, Y Zhao, T Li, P Yang, X Li, X Huang, CA-CST: A Contrast Learning-Based Artistic Style Transfer Network with Regional Self-attention, IET Image Processing 20 (1), 1-12(Q2)

18. C. Guo, C. Huang, W. Zhou, Xiaodi Huang, Multi-label feature selection based on binary hashing learning and dynamic graph constraints, Pattern Recognition, 113603, https://doi.org/10.1016/j.patcog.2026.113603,2026 (IF 7.6, Q1)

19. Q. Wang, X. Shao, Xiaodi Huang, A perturbation-recovery generative autoencoder for heterogeneous graphs with attributes missing, Scientific Reports, https://doi.org/10.1038/s41598-026-44190-4, 2026 (IF 3.9, Q1)

20. A Xie, Q Lin, X Zeng, Y Cao, Z Man, C Liu, Z Cai, X Huang, Fusion of deep and manual features for improved generation of large-size, low-resolution functional medical images, Engineering Applications of Artificial Intelligence, 172 (114361), 1-15, https://doi.org/10.1016/j.engappai.2026.114361 (IF 8.0, Q1)

21. F Jiang, C Huang, Q Huang, Xiaodi Huang, Prompting multimodal vision-language models for automated student engagement prediction, Engineering Applications of Artificial Intelligence, 172 (114329), 1-13, https://doi.org/10.1016/j.engappai.2026.114329 (IF 8.0, Q1)

22. H. Xiang, Y. Cao, Q. Lin, T. Li, J. Wei, C. Liu, Z. Cai, Xiaodi Huang, Pet-guided CT local enhancement and cross-modality fusion for volumetric lung tumor segmentation, Biomedical Signal Processing and Control, Volume 119, Part B, 2026,109977, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2026.109977. (IF 4.9, Q1)

23. J. Yang, Y. Wang, C. Huang, Q. Huang, Xiaodi Huang, CuGNN: Cross-perspective contrastive learning for enhancing unsupervised GNNs beyond homophily. Int. J. Mach. Learn. & Cyber. 17, 108 (2026). https://doi.org/10.1007/s13042-025-02940-2 (IF 2.7, Q2)

24. Cao Y, Peng L, Lin Q, Zeng X, Man Z, Liu C, Cai Z, Huang X. BSc-DARTS: Neural Architecture Search for Automatic Diagnosis of Bone Metastases in Bone Scintigrams. Curr Med Imaging. 2026 Feb 2. doi: 10.2174/0115734056412398251201105549.  PMID: 41691669

25. G Liu, Q Lin, X Zeng, Y Cao, T Li, C Liu, Z Cai, X Huang, DBFANet: a dual-branch feature alignment network for automated detection of breast cancer bone metastasis, Physics in Medicine & Biology, DOI 10.1088/1361-6560/ae4166, 2026 (IF 3.4, Q1)

26. A Xie, Q Lin, X Zeng, Y Cao, C Liu, X Huang, SKENet: A spectral and symmetry-guided deep network for bone metastasis segmentation in SPECT imaging, Expert Systems with Applications, Vol 301, https://doi.org/10.1016/j.eswa.2025.130451, 2026. (IF 9.4, Q1)

27. C. Huang, Y. Fang, C. Gao, Xiaodi Huang, Adaptive cleaning and correlation-driven graph anomaly detection, Neurocomputing, 131980, Vol 663, 1-14, https://doi.org/10.1016/j.neucom.2025.131980, 2026 (IF 6.5, Q1)

28. F Liao, Y Cao, J Mao, Q Lin, Z Man, Z Cai, X Huang, Automated diagnosis of pulmonary nodules in 3D PET/CT images using dual-path densely connected networks with cross-modal fusion, Quantitative Imaging in Medicine and Surgery 16 (1), 1-17, 2026 (Q2)

29. C. Huang, J. Sun, L. Zha, Y. Wang, Xiaodi Huang, Beyond Homophily: Adaptive Cross-Frequency Convolution for Hypergraph Learning, Knowledge-Based Systems,115064, 2025, https://doi.org/10.1016/j.knosys.2025.115064.(IF 8.8, Q1)

30. KK Saha, R Dulal, L Schmidtke, L Zheng, X Huang, A Clark, Discrimination of Vineyard Origin and Grape Cultivars Using Rapid Mass Spectrometry and Machine Learning, Smart Agricultural Technology, 101755, https://doi.org/10.1016/j.atech.2025.101755 (IF5.7, Q1)

31. YXG Yang, Y Cao, T Li, Q Lin, X Zeng, Z Cai, C Liu, X Huang, FA-SCondDiff: Frequency-aware Conditional Diffusion for Generation of Low-resolution SPECT Bone Scintigrams, Physica Scripta, DOI 10.1088/1402-4896/ae30b2,2025 (Q2)

32. W. Zhai, R. Jiang, Xiaodi Huang, J. Bian, S. Zhu, Investigation of Synonym Expansion and Self-Alignment Pretraining for Enhancing Human Phenotype Ontology Concept Recognition, Artificial Intelligence in Medicine,103282, Vol 171, 1-16, https://doi.org/10.1016/j.artmed.2025.103282,2026 (IF 6.2, Q1)

33. Y Wu, Q Lin, J Wei, Y Cao, Z Man, Xiaodi Huang, A Three-stage Segmentation Framework for Lung Cancer Lesion Isolation in Three-dimensional Positron Emission Tomography Images, Engineering Applications of Artificial Intelligence, Vol. 162,112507 pp.1-18, https://doi.org/10.1016/j.engappai.2025.112507(IF 8.0, Q1)

34. J. Chen, Y. Zhong, Q Huang, C Huang, F Jiang, Xiaodi Huang, X Wang, UCMIB-PNS: Balancing Sufficiency and Necessity with Probabilistic Causality and Cross-Modal Uncertainty in Multimodal Sentiment Analysis, IEEE Transactions on Affective Computing, pp. 1- 16, https://doi.org/10.1109/taffc.2025.3606964.2025 (IF 9.6, Q1)

35. W Zhai, Y Deng, Xiaodi Huang, S Wang, S Zhu, MultiFusion2HPO: A Multimodal Deep Learning Approach for Enhancing Human Protein-Phenotype Association Prediction, IEEE Transactions on Computational Biology and Bioinformatics, 10.1109/TCBBIO.2025.3608274, 2025 (IF 2.4, Q2)

36. A Xie, Q Lin, X Zeng, Y Cao, Z Man, C Liu, Xiaodi Huang, Integrating Non-square Filter and Boundary Enhancement into Encoder-Decoder Network for Lesion-aware Segmentation of Large-size Low-resolution Bone Scintigrams, IEEE Journal of Translational Engineering in Health and Medicine, Vol 13, pp.421 – 436, 2025,10.1109/JTEHM.2025.3605042 (IF 4.4, Q1)

37. T Song, Q Lin, X Zeng, Y Cao, Z Man, C Liu, Z Cai, C Gui, Xiaodi Huang, Sci2Txt: Automated report generation of low-resolution SPECT bone scintigrams using spatial-position-aware and hierarchical features, Vol. 111, https://doi.org/10.1016/j.bspc.2025.108359, 2026, Biomedical Signal Processing and Control (IF 4.9, Q1)

38. Y. Wu, Q. Lin, Y. He, X. Zeng, Y. Cao, Z. Man, C. Liu, Y. Hao, Z. Cai, J. Ji, Xiaodi Huang, MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging, 12, 72, https://doi.org/10.1186/s40658-025-00785-w, 2025 EJNMMI Physics ( IF3.7, Q1)

39. X Jian, Q Lin, X Zeng, Y Cao, Z Man, C Liu, Z Cai, C Gui, J Ji, Xiaodi Huang, Automated diagnosis of cancer bone metastases using Multi-view Contrastive Learning, Physica Scripta, DOI 10.1088/1402-4896/ade91a, 2025 (Q2)

40. J Zhao, Y., Lin, Q., Mao, J., Wei, J., Cao, Y., Man, Z., Liu, C., Ma, Xiaodi Huang, A Coarse-to-Fine Detection Framework for Automated Lung Tumour Detection From 3D PET/CT Images, https://doi.org/10.1049/ipr2.70146, 2025, IET Image Process (Q2)

41. C. Huang, B. Yu, C. Gao, Y.Tu, F. Jiang, Xiaodi Huang, Structural-temporal mining for motif-level anomaly detection in dynamic graphs, Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2025.113962, Vol. 325 2025 (IF 8.8, Q1)

42. C. Guo, X. Wang, C. Huang, Y. Wang, C. Gao, Xiaodi Huang. Multi-label feature selection via exploring reliable instance similarities. Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2025.113700, 2025 (IF 8.8, Q1)

43. J. Chen, Q. Huang, C. Huang, Xiaodi Huang. Actual Cause Guided Adaptive Gradient Scaling for Balanced Multimodal Sentiment Analysis. ACM Transactions on Multimedia Computing, Communications and Applications, https://doi.org/10.1145/373641, 2025 (IF 5.2, Q1)

44. C Huang, C Gao, M Li, Y Li, X Wang, Y Jiang, Xiaodi Huang, Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation, IEEE Transactions on Cybernetics, Vol. 55, Issue 6, pp. 2865-2878, 10.1109/TCYB.2025.3558941 (2025) (IF 11.8, Q1)

45. C. Huang, X. Shi, C. Gao, Q. Hu, Xiaodi Huang, Q. Huang, A. Anaissi, Cross Domain Graph Anomaly Detection via Graph Transfer and Graph Decouple, CAAI Transactions on Intelligence Technology. pp. 1-15, 2025.https://doi.org/10.1049/cit2.70014 (IF 8.4, Q1)

46. Y. He, Q. Lin, Z. Man, Y. Cao, X. Zeng, Xiaodi Huang, A Two‐Stage CNN‐Based Method for Enhanced Metastasis Segmentation in SPECT Bone Scans, International Journal of Intelligent Systems, Volume 2025, Article ID 3135835, pp.1-19 https://doi.org/10.1155/int/3135835 (IF 5, Q1)

47. C Huang, Z Lin, Z Han, Q Huang, F Jiang, Xiaodi Huang, PAMoE-MSA: polarity-aware mixture of expert network for multimodal sentiment analysis, International Journal of Multimedia Information Retrieval 14, 7 (2025). https://doi.org/10.1007/s13735-025-00362-y (IF 3.6, Q1)

48. C Huang, Z Lin, Q Huang, Xiaodi Huang, F Jiang, J Chen, H2CAN: heterogeneous hypergraph attention network with counterfactual learning for multimodal sentiment analysis, Complex & Intelligent Systems 11, 196 (2025). https://doi.org/10.1007/s40747-025-01806-y (IF 5.0, Q1)

49. X Ma, Q Lin, X Zeng, Y Cao, Z Man, C Liu, Xiaodi Huang, Interactive segmentation for accurately isolating metastatic lesions from low-resolution, large-size bone scintigrams, 70 045009,2025, https://doi.org/10.1088/1361-6560/adaf07 Physics in Medicine & Biology (IF 3.3, Q1)

50. Y He, Q Lin, A Xie, X Ma, X Zeng, Y Cao, Z Man, Xiaodi Huang, BSci-Seg: A bone scintigram segmentation model for accurately detecting and delineating metastasis lesions using convolutional neural networks, Biomedical Signal Processing and Control. Vol 104, https://doi.org/10.1016/j.bspc.2025.107512 (IF 4.9, Q1)

51. C Huang, F Jiang, Z Han, Xiaodi Huang, S Wang, Y Zhu, Y Jiang, B Hu, Modeling Fine-Grained Relations in Dynamic Space-Time Graphs for Video-Based Facial Expression Recognition, IEEE Transactions on Affective Computing, pp.1-17, 10.1109/TAFFC.2025.3530973 (IF 9.6, Q1)

52. A. Xie, Q. Lin, Y. He. X. Zeng, Y. Cao, Z. Man, C. Liu, Y. Hao, Xiaodi Huang, Metastasis lesion segmentation from bone scintigrams using encoder-decoder architecture model with multi-attention and multi-scale learning, Quantitative Imaging in Medicine and Surgery, 15(1), 2025, 689-708. doi: 10.21037/qims-24-1246. (IF 2.9, Q2)

53. S Wang, J Bian, Xiaodi Huang, H Zhou, S Zhu, PubLabeler: Enhancing Automatic Classification of Publications in UniProtKB Using Protein Textual Description and PubMedBERT, IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2024.3520579, 2025. (IF 6.7, Q1)

54. S Wang, X Yang, Xiaodi Huang, J Zhang, S Lua, Q-Learning-Based Resilience Assessment of Weakly Coupled Cyber-Physical Power Systems, IEEE Transactions on Reliability, doi: 10.1109/TR.2024.3479701, 2024 (IF 5, Q1)

55. C. Huang, J. Chen, Q. Huang, S. Wang, Y. Tu, Xiaodi Huang, AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis, Information Fusion, 2024, https://doi.org/10.1016/j.inffus.2024.102725 (IF 15.5, Q1)

56. X. Ma, Q. Lin, S. Guo, Y. He, X. Zeng, Y. Song, Y. Cao, Z. Man, C. Liu, Xiaodi Huang. Multimodal Data-Driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans Using Deep Learning, Current Medical Imaging. doi: 10.2174/0115734056324977240911073841. PMID: 39297464. (IF 1.1)

57. Q. Lin, A. Xie, X. Zeng, Y. Cao, Z.G. Man, Y. Hao, C. Liu, Xiaodi Huang, Bone Metastasis Scintigram Generation Using Generative Adversarial Learning with Multi-Receptive Field Learning and Two-Stage Training, Medical Physics, https://doi.org/10.1002/mp.17368 (IF 3.2, Q1)

58. J. Bian, Xiaodi Huang, Z. Hong, T. Huang and S. Zhang, GoSum: Extractive Summarization of Long Documents by Reinforcement Learning and Graph Organized Discourse State, Knowledge and Information Systems. https://doi.org/10.1007/s10115-024-02195-3 (IF 2.5, Q1)

59. Q. Huang, J. Chen, C. Huang, Xiaodi Huang, Y. Wang, Text-centered Cross-sample Fusion Network for Multimodal Sentiment Analysis, Multimedia Systems, 30, 228 (2024) https://doi.org/10.1007/s00530-024-01421-w (IF 3.5, Q1)

60. Q. Fan, S. Zhao, M. Shang, Z. Wei, Xiaodi Huang, An improved genetic salp swarm algorithm with population partitioning for numerical optimization, Information Sciences, doi.org/10.1016/j.ins.2024.120895 (IF 8.1, Q1)

61. Q. Li, Z. Du, Q. Li, P. Zhang, H. Guo, Xiaodi Huang, Z. Chen, F-Chain: Personalized Overall Survival Prediction Based on Incremental Adaptive Indicators and Multi-source Clinical Records, Memetic Computing, https://doi.org/10.1007/s12293-024-00415-5 (IF 4.7, Q1)

62. C. Huang, Q. Huang, Xiaodi Huang, H Wang, M Li, and K. Lin, XKT: Towards eXplainable Knowledge Tracing Model with Cognitive Learning Theories for Questions of Multiple Knowledge Concepts, IEEE Transactions on Knowledge and Data Engineering, 10.1109/TKDE.2024.3418098, pp.1-18 (IF 8.9, Q1)

63. C. Huang, Y. Wang, Y. Jiang, M. Li, Xiaodi Huang, S. Wang, S. Pan, C. Zhou, Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs beyond Homophily, IEEE Transactions on Cybernetics, 10.1109/TCYB.2024.3412149 (IF 11.8, Q1)

64. X. Wang, Y. Zhong, C. Huang, and Xiaodi Huang, ChatPRCS: A Personalized Support System for English Reading Comprehension based on ChatGPT, IEEE Transactions on Learning Technologies, Vol. 17, pp. 1762-1776, 2024, doi: 10.1109/TLT.2024.3405747. (IF 3.7, Q1)

65. Z. Liu, Z. Chen, K. Lou, P. Rajapaksha, L. Zhao, N. Crespi, Xiaodi Huang, CCIM-SLR: Incomplete multiview co-clustering by sparse low-rank representation, Multimedia Tools and Applications (2024). https://doi.org/10.1007/s11042-023-17928-9 (IF 3.6, Q1)

66. C. Huang, H. Wei, Q. Huang, F. Jiang, Z. Han, Xiaodi Huang, Learning Consistent Representations with Temporal and Causal Enhancement for Knowledge Tracing, Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2023.123128 (IF 8.5, Q1)

67. T. Poomchaiveja, W. Robinson, N. Ning, L. J. Baumgartner, Xiaodi Huang, Suitability of tropical river fishes for PIT tagging: Results for four Lower Mekong species, Fisheries Research, https://doi.org/10.1016/j.fishres.2023.106930 (IF 2.4, Q1)

68. S Wang, Z Guo, Xiaodi Huang, J Zhang, A three-stage model of quantifying and analyzing power network resilience based on network theory, Reliability Engineering & System Safety, 2024 Vol 24. https://doi.org/10.1016/j.ress.2023.10968 (IF 8.1, Q1)

69. Q. Fan, F. Zheng, Xiaodi Huang, D. Xu, Convergence Analysis for Sparse Pi-Sigma Neural Network Model with Entropy Error Function, International Journal of Machine Learning and Cybernetics, https://doi.org/10.1007/s13042-023-01901-x, 2023 (IF 5.6, Q1)

70. X. Wu, J. He, C. Huang, Q. Huang, J. Zhu, Xiaodi Huang, FER-CHC: Facial expression recognition with cross-hierarchy contrast, Applied Soft Computing, 2023, https://doi.org/10.1016/j.asoc.2023.110530 (IF 8.7, Q1)

71. W. Zhai, Xiaodi Huang, N. Shen, Shanfeng Zhu, Phen2Disease: A Phenotype-Driven Model for Disease and Gene Prioritization by Bidirectional Maximum Matching Semantic Similarities, Briefings in Bioinformatics, 2023, https://doi.org/10.1093/bib/bbad172 (IF 9.5, Top 3 of 77, Q1)

72. Z Liu, Z Chen, Y Li, L Zhao, T Yang, R Farahbakhsh, N Crespi, Xiaodi Huang, IMC-NLT: Incomplete multi-view clustering by NMF and low-rank tensor, Expert Systems with Applications, Volume 221, 119742, 2023 (IF 8.5, Q1)

73. C Huang, J Zhang, X Wu, Y Wang, M Li, Xiaodi Huang, TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis, Knowledge-Based Systems, Volume 269, 2023, https://doi.org/10.1016/j.knosys.2023.110502. (IF 8.8, Q1)

74. Y Guo, Q Lin, Y Wang, X Cao, Y Cao, Z Man, X Zeng, Xiaodi Huang, Integrating Transfer Learning and Feature Aggregation into Self-defined Convolutional Neural Network for Automated Detection of Lung Cancer Bone Metastasis, Journal of Medical and Biological Engineering, 43 (1), 53-62, 2023 (IF 2.0, Q3)

75. Q Li, Z Du, Z Chen, Xiaodi Huang, Q Li, Multiview Deep Forest for Overall Survival Prediction in Cancer, Computational and Mathematical Methods in Medicine, 2023 (IF 2.81)

76. Cao, Y, Liu, L, Chen, X, Man, Z, Lin, Q, Zeng, Xiaodi Huang, segmentation of lung cancer-caused metastatic lesions in bone scan images using self-defined model with deep supervision, Biomedical Signal Processing and Control, vol. 79, 2023, https://doi.org/10.1016/j.bspc.2022.104068 (IF 5.1, Q1)

77. Wang, S, Gu, X, Chen, J, Chen, Xiaodi Huang, Robustness improvement strategy of cyber-physical systems with weak interdependency, Reliability Engineering and System Safety. Volume 229, 2023, https://doi.org/10.1016/j.ress.2023.108837 (IF 8.1, Q1)

78. Lin, Q., Chen, X, Liu, L, Cao, Y, Man, Z, Zeng, Xiaodi Huang, Detecting multiple lesions of lung cancer-caused metastasis with bone scans using a self-defined object detection model based on SSD framework, Physics in Medicine & Biology, 2022 http://iopscience.iop.org/article/10.1088/1361-6560/ac944d (IF 3.5, Q1)

79. Q. Fan, Z. Zhang, Xiaodi Huang, Parameter conjugate gradient with secant equation based Elman neural network and its convergence analysis, Advanced Theory and Simulations, 2022, https://doi.org/10.1002/adts.202200047 (IF 3.3, Q1)

80. J., Weiqi, Z., Zhaoxia, Xiaodi Huang, Shanfeng Zhu et al, ICH-LR2S2: A New Risk Score for Predicting Stroke-associated Pneumonia from Spontaneous Intracerebral Hemorrhage, Journal Translational Medicine, 20, 193 (2022). https://doi.org/10.1186/s12967-022-03389-5 (IF 7.4, Q1)

81. S. Wang, C. Chen, J. Zhang, X. Gu, Xiaodi Huang, Vulnerability assessment of urban road traffic systems based on traffic flow, International Journal of Critical Infrastructure Protection, Volume 38, 2022, https://doi.org/10.1016/j.ijcip.2022.100536 (IF 3.6, Q1)

82. L. Zhou, Q. Fan, Xiaodi Huang, Y. Liu, Weak and strong convergence analysis of Elman neural networks via weight decay regularization, Optimization, 2022, pp 1-23 10.1080/02331934.2022.2057852 (IF 2.2, Q2)

83. P.K. Gupta, M. K.Siddiqui, Xiaodi Huang, R. M.-Menendez, H. Pawar, H. T.Marin, M. S. Wajid, COVID-WideNet—A capsule network for COVID-19 detection, Applied Soft Computing, 2022,https://doi.org/10.1016/j.asoc.2022.108780 (IF 8.7, Q1)

84. Z Han, Q Huang, J Zhang, C Huang, H Wang, Xiaodi Huang, GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network, Applied Intelligence, 2022, pp. 1- 22 https://doi.org/10.1007/s10489-022-03337-2 (IF 5.3, Q2)

85. S. Yao, R. You, S. Wang, Y. Xiong, Xiaodi Huang, and S. Zhu, NetGO 2.0: Improving Large-scale Protein Function Prediction with Massive Sequence, Text, Domain/family and Network Information, Nucleic Acids Research, Vol. 49, pp. W469–W475, 2021 (IF 14.9, Q1)

86. T Liu, J Wang, Xiaodi Huang, Y Lu, J Bao, 3DSMDA-Net: An improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition, Journal of Manufacturing Systems, 2021, https://doi.org/10.1016/j.jmsy.2021.01.017 (IF 12.1, Q1)

87. S. Mu, M Cui, Xiaodi Huang, Multimodal data fusion in learning analytics: A systematic review, Sensors (Switzerland). 2020, 20(23), pp.1-27 6856.  https://doi.org/10.3390/s20236856 (IF 3.9, Q1)

88. F. Liu, Xiaodi Huang, W Huang, S.X. Duan, Performance Evaluation of Keyword Extraction Methods and Visualization for Student Online Comments. Symmetry, 12, pp.1-20.1923, 2020, https://doi.org/10.3390/sym12111923 (IF 2.7, Q2)

89. Siddiqui, M.K., Xiaodi Huang, Morales-Menendez, R. et al. Machine learning based novel cost-sensitive seizure detection classifier for imbalanced EEG data sets. International Journal on Interact Design Manufacturing, 2020, https://doi.org/10.1007/s12008-020-00715-3 (IF 2.1, Q2)

90. Qiang Lin, Z. Man, Y. Cao; T. Deng; C. Han; C. Cao; L. Zhang; S. Zeng; R. Gao; W. Wang; J. Ji; Xiaodi Huang, Classifying functional nuclear images with convolutional neural networks: a survey, IET Image Processing, 2020, DOI:  10.1049/iet-ipr.2019.1690 (IF 1.517, Q2)

91. Y. Zhang, J. Zhu, N. Xu, S. X. Duan, Xiaodi Huang, Optimal selection of expatriates for cross-border assignment to enhance manufacturing efficiency, International Journal of Production Economics, https://doi.org/10.1016/j.ijpe.2020.107926 (IF 12, Q1)

92. M.K. Siddiqui, R. Morales-Menendez, Xiaodi Huang, et al. A review of epileptic seizure detection using machine learning classifiers. Brain Informatics, 7, 5 (2020). https://doi.org/10.1186/s40708-020-00105-1 (IF 1.609, Q1)

93. Lizhi Liu, Xiaodi Huang, Hiroshi Mamitsuka, and Shanfeng Zhu, HPOLabeler: improving prediction of human protein-phenotype associations by learning to rank, Bioinformatics, 2020, https://doi.org/10.1093/bioinformatics/btaa284. (IF 5.8, Q1)

94. S Yin, J Bao, J Zhang, J Li, J Wang, Xiaodi Huang, Real-time task processing for spinning cyber-physical production systems based on edge computing, Journal of Intelligent Manufacturing, pp.1-19, 2020 (IF 8.3, Q1)

95. S Dai, R You, Z Lu, Xiaodi Huang, H Mamitsuka, S Zhu, FullMeSH: Improving Large-Scale MeSH Indexing with Full Text, Bioinformatics, 2020 Mar 1;36(5):1533-1541. doi: 10.1093/bioinformatics/btz756. (IF 5.8, Q1)

96. J Gao, L Liu, S Yao, Xiaodi Huang, H Mamitsuka, S Zhu, HPOAnnotator: improving large-scale prediction of HPO annotations by low-rank approximation with HPO semantic similarities and multiple PPI networks, BMC Medical Genomics 12 (10), 187, 1-14, 2019. (IF 2.7, Q2)

97. Xiaodi Huang, W Huang Eigenedge: A Measure of Edge Centrality for Big Graph Exploration, Journal of Computer Languages, pp.1-13, Vol. 55, 2019. (IF 2.2, Q3)

98. X Liao, Xiaodi Huang, W Huang, ML-LUM: A system for land use mapping by machine learning algorithms, Journal of Computer Languages, pp.1-12, Vol. 54, 2019.  (IF 2.2, Q3)

99. S Dai, Y Ding, Z Zhang, W Zuo, Xiaodi Huang, S Zhu, GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext based on Bi-LSTM-CRF, pp.1-11, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019. (IF 4.5, Q2)

100. Ronghui You, Shuwei Yao, Yi Xiong, Xiaodi Huang, Fengzhu Sun, Hiroshi Mamitsuka, Shanfeng Zhu NetGO: Improving Large-scale Protein Function Prediction with Massive Network Information, Nucleic Acids Research, Jul 2;47(W1): W379-W387, 2019. (IF 14.9, Q1)

101. Yuxin Liu, Anfeng Liu, Xiao Liu, Xiaodi Huang, A statistical approach to participant selection in location-based social networks for offline event marketing, Information Sciences, Vol. 480, pp.90-108, 2019. (IF 8.1, Q1)

102. Haijiao Xu, Changqin Huang, Xiaodi Huang, Muxiong Huang, Multi-modal multi-concept-based deep neural network for automatic image annotation, Multimedia Tools and Applications, pp.1-25, 2018. (IF 3.6, Q1)

103. Haijiao Xu, Changqin Huang, Xiaodi Huang, Chunyan Xu and Muxiong Huang, Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval, Advances in Multimedia, pp.1-11, 2018.  (IF 1.4)

104. Nicholas Pawsey, Tahmid Nayeem, and Xiaodi Huang, Use of Facebook to Engage Water Customers: A comprehensive study of Current UK and Australian Practices and Trends, Journal of Environmental Management, 228, 517-528, 2018. (IF 8.7, Q1)

105. Ronghui You, Xiaodi Huang, Shanfeng Zhu, DeepText2GO: Improving Large-scale Protein Function Prediction with Deep Semantic Text Representation, Methods, 145(1), pp.82-90, 2018, ScienceDirect. (IF 4.8, Q1)

106. Xiaodi Huang, Changqin Huang, NGD: Filtering Graphs for Visual Analysis, IEEE Transactions on Big Data, 4(3), pp.381-395, 2018. (IF 7.2, Q1)

107. Changqin Huang, Jia Zhu, Xiaodi Huang, Min Yang, Gabriel Fung, Qintai Hu, A Novel Approach for Entity Resolution in Scientific Documents Using Context Graphs, Information Sciences, Vol 432. pp.431-441, 2018 (IF 8.1, Q1)

108. Shiyong Yin, Jinsong Bao, Yiming Zhang, Xiaodi Huang, M2M security technology of CPS based on blockchains, Symmetry, 9(9), p.193, 2017 (IF 2.7, Q2)

109. G Qin, Xiaodi Huang, Y Chen, Nested One-to-One Symmetric Classification Method on a Fuzzy SVM for Moving Vehicles, Symmetry, 9(4),1-15, 2017 (IF 2.7, Q2)

110. Xiaodi Huang, Jinsong Bao, Xiaoling Dai, Edwin Singh, Weidong Huang, Changqin Huang, M&E-NetPay: A Micropayment System for Mobile and Electronic Commerce, Symmetry, Vol 8 No. 8,2016 (IF 2.7, Q2)

111. Y. Wang, X. Lin, L. Wu, W. Zhang, Q. Zhang, Xiaodi Huang, Robust Subspace Clustering for Multi-view Data by Exploiting Correlation Consensus, IEEE Transactions on Image Processing, Vol. 24. No. 11, pp. 3939-3949, 2015 (ESI Highly Cited Paper, Top 1%). (IF 10.6, Q1)

112.  Xiaodi Huang, W. Huang, GO: A Cluster Algorithm for Graph Visualization, Journal of Visual Languages and Computing, Vol. 28, pp.71-82, 2015 (Continued as Journal of Computer Languages)

113. J. Zhou, S. Zhu, Xiaodi Huang, Y. Zhang, Enhancing Time Series Clustering by Incorporating Multiple Distance Measures with Semi-Supervised Learning, Journal of Computer Science and Technology, Vol. 30, No. 4, pp. 859-973, Springer, 2015.  (IF 1.9, Q2)

114. L. Wu, Xiaodi Huang, J. Shepherd, Y. Wang, Multi-Query Augmentation-Based Web Landmark Photo Retrieval, Computer Journal, Vol. 58, No.9, pp.2120-2134, 2015. (IF 1.4, Q2)

115. L. Wu, Xiaodi Huang, C. Zhang, J. Shepherd, Y. Wang, An Efficient Framework of Bregman Divergence Optimization for Co-Ranking Images and Tags in a Heterogeneous Network, Multimedia Tools and Applications, Vol 74, No. 15. pp. 5635-5660, 2015. (IF 3.6, Q1)

116. Xiaodi Huang, UsageQoS: Estimating the QoS of Web Services through Online User Communities, ACM Transactions on the Web, Vol. 8, No. 1, Article 1, pp. 1- 31, 2013. (IF 3.35, Q2)

117. X. Han, Á. Cuevas, Noel Crespi, R. Cuevas, Xiaodi Huang, On Exploiting Social Relationship and Personal Background for Content Discovery in P2P Networks, Future Generation Computer Systems, Vol. 40, pp.17-29, 2014. (IF 7.5, Q1)

118. X. Li, Xiaodi Huang, X. Deng, S. Zhu, Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information, Neurocomputing, Vol 142, No. 22, pp.228-238, 2014. (IF 6, Q1)

119. Y. Xu, C.  Luo, M.  Qian, Xiaodi Huang, S. Zhu, MHC2MIL: A Novel Multiple Instance Learning-based Method for MHC II Peptide Binding Prediction by Considering Peptide Flanking Region and Residue Positions, BMC Genomics, Vol. 15. No. S9, pp.1-9, 2014. (IF 4.4, Q1)

120. Xiaodi Huang, X. Dai, W. Liang, BulaPay: A Novel Web Service based Third-Party Payment System for e-Commerce, Electronic Commerce Research, Vol. 14, No. 4, pp. 611-633, 2014. (IF 3.9, Q1)

121. A. Hossain Masud, Xiaodi Huang, R. Islam, A Novel Approach for the Remedial of Security Concerns in a Cloud-based E-learning System, Journal of Networks, Vol. 9, No. 11, pp. 2934-2942, 2014.

122. H. Miao, Xiaodi Huang, A Heuristic Field Navigation Approach for Autonomous Underwater Vehicles, Intelligent Automation and Soft Computing, Vol. 20, No. 1, pp.15-32, 2014, Taylor & Francis. (Q3)

123. Xiaodi Huang, J. Zhao, J. Ash, W. Lai, Clustering Student Discussion Messages on Online Forum by Visualization and non-Negative Matrix Factorization, Journal of Software Engineering and Applications, Vol 6, No.7B, pp.7-12, 2013. (IF 1.22)

124. Xia Liu, Hui Miao, and Xiaodi Huang, A Novel Approach for Blind Estimation of a MIMO Channel Including Phase Unwrapping Ambiguity Elimination, IT Convergence Practice, Vol. 1, No.2, pp.20-33, 2013.

125. Yang Wang, Xiaodi Huang, Lin Wu, Clustering via Geometric Median-Shift over Riemannian Manifolds, Information Sciences, Vol. 220, No. 20, pp.292-306, 2013. ScienceDirect. (IF 8.1, Q1)

126. Md Anwar Hossain Masud, Xiaodi Huang, M-learning Architecture for Cloud-based Higher Education System of Bangladesh, Mobile Computing, Vol 2, No.4, pp.84-94, 2014.

127. W. Huang, R. Khoury, T. Dawborn, B. Huang, M. Huang, Xiaodi Huang, WeBeVis: Analyzing User Web Behaviour through Visual Metaphors, SCI. CHINA Inf. Sci, Vol. 56, No. 5, Springer, 2013. (IF 8.8, Q1)

128. Md Anwar Hossain Masud, Xiaodi Huang, A Cloud Based M-learning Architecture for Higher Education, Archives Des Sciences, Vol 66, No.1, pp. 751-760, 2013.

129. Miao Hui, Xiaodi Huang, Guo Chen, An Enhanced Simulated Annealing Scheduling Approach for Smart Meter Technology, International Review of Electrical Engineering (IREE), Vol. 8 No.1, pp.321-328, 2013. (IF 3.3, Q2)

130. Miao Hui, Xiaodi Huang, Guo Chen, A Genetic Evolutionary Task Scheduling Method for Energy Efficiency in Smart Homes, International Review of Electrical Engineering (IREE), Vol 7 No.5, pp.5897-5904,2012. (IF 3.3, Q2)

131. Md. Anwar Hossain Masud, Xiaodi Huang, An E-learning System Architecture based on Cloud Computing, International Journal of Social and Human Sciences, Vol. 6, 2012, pp.185-189. (IF 4.31)

132. Miao Hui, Xiaodi Huang, Dynamic vehicle path planning using an enhanced simulated annealing approach for supply chains, International Journal of Enterprise Network Management, Vol 5, No.2, 2012, pp.197-218.

133. Yang Wang, Lin Wu, Xiaodi Huang,* and Xuemin Lin, Human Action Recognition from Video Sequences by Enforcing Tri-view Constraints, The Computer Journal, Vol. 55, No.9, 2012, pp.1030-1040. (IF 1.4, Q2)

134. Gang Shu, Xiaodi Huang, Shanfeng Zhu, A Consensus Method for Prioritizing Drug-Associated Target Proteins, International Journal of Data Mining and Bioinformatics, Vol 6, No.2, 2012, pp.178-195.

135. Xiaodi Huang, Xiaodong Zheng, Wei Yuan, Fei Wang, Shanfeng Zhu, Enhanced Clustering of Biomedical Documents Using Ensemble Non-negative Matrix Factorization, Information Sciences, Vol. 181, No.11, 2011, pp. 2293-2302, ScienceDirect. (IF 8.1, Q1)

136. Wei Lai, Xiaodi Huang, Mao Lin Huang, SWING: A System for Visualizing Web Graphs, Advances on Information Sciences and Service Sciences, Vol 3, No. 2, pp.94-101.  doi:10.4156/aiss.vol3. issue2.11. 2011.

137. Zhuang Shao, Zhikui Chen, Xiaodi Huang, A Mobile Service Recommendation System Using Multi-Criteria Ratings, International Journal of Interdisciplinary Telecommunications and Networking (ISSN 1941-8663), Vol. 2 No.4, pp.30-40, 2010.

138. Yang Wang, Zhikui Chen, Xiaodi Huang, Element Retrieval Using Namespace Based on Keyword Search over XML Documents, Journal of Software Engineering and Applications, Vol 3, No.1, pp.65-72, DOI: 10.4236/jsea.. 2010.31008, 2010. (IF 1.22)

139. Junbin Gao, PWL Kwan, Xiaodi Huang, Comprehensive Analysis for the Local Fisher Discriminate Analysis, International Journal of Pattern Recognition and Artificial Intelligence, Vol 23, No.6, pp. 1129-1143, 2009. (IF 1.5)

140. Xiaodi Huang, Wei Lai, A.S.M. Sajeev, and Junbin Gao, A New Algorithm to Remove Overlapping Nodes in Graph Layout, Information Sciences, ScienceDirect, Vol. 177, No. 14, pp. 2821-2844, 2007. (IF 8.1, Q1)

141. Xiaodi Huang, Dianhui Wang, Kazuo Misue, Jiro Tanaka, A.S.M. Sajeev, On the Graph Modeling, Node Ranking and Visualization, International Journal of Intelligent Systems Technologies and Applications, Vol. 3, Nos. 3/4, pp.188-210, 2007. (IF 1.74)

142. Xiaodi Huang, Wei Lai, Clustering Graphs for Visualization via Node Similarities, Journal of Visual Languages and Computing, ISSN 1045-926X, Vol .17, No.3, pp. 225-253, ScienceDirect, 2006. (Continued as Journal of Computer Languages)

143. Dianhui Wang, Xiaodi Huang, Y.S. Kim, J.S. Lim, M.M. Han, B.W. Lee, A Structured Based Approach for Multimedia Information Filtering, Multimedia Tools and Applications: An International Journal, Vol. 29, No. 1, pp.73-89, Springer, 2006. (IF 3.6, Q1)

144. Xiaodi Huang, Wei Lai, Online Web Information Visualization with Filtering and Clustering Graph Layout, The IEEE Intelligence Informatics Bulletin, Vol. 5, No. 1, pp. 11-17, 2005.

145. Hua Wang, Jinli Gao, Yanchun Zhang, Xiaodi Huang, A Flexible Electronic Payment Scheme and its Management, INFORMATION (ISSN 1343-4500), Vol 7, No.2, pp.187-196, 2004 (ERA 2015).

Refereed Conference Papers

1. J. Chen, C. Huang, Q. Huang, Y. Tu, Z. Zheng, Xiaodi Huang, Test-Time Reinforcement Learning for Flow Matching, Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 6th - 11th, PMLR 306:14589-14624, 2026.  (CORE A*, acceptance rate of 26.6%)

2. X. Chen, Z. Chen, L. Zhao, and Xiaodi Huang, Sharing and Individual Anchor Graph Learning for Fast Single-cell Multi-omics Tensor Clustering,2026 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2026) (acceptance rate: 19.48%).

3. Hu, C., Huang, Q., Shu, F., Li, D., Huang, X. (2027). Training-Free Emotion-Controllable Talking-Portrait Video Generation via Affective-Ontology Knowledge Augmentation. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2026. Lecture Notes in Computer Science, vol 16928. Springer, Cham. https://doi.org/10.1007/978-3-032-37966-5_1

4. Shu, F., Huang, Q., Hu, C., Huang, X. (2027). ChronoLink: A Cooperative Neuro-Symbolic Multi-agent System for Temporal Knowledge-Graph Question Answering. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2026. Lecture Notes in Computer Science, vol 16928. Springer, Cham.https://doi.org/10.1007/978-3-032-37966-5_16

5. Y. Wan, C. Huang, M. Li, T. Cai, Z. Zheng, Xiaodi Huang, All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning, International Joint Conference on Artificial Intelligence (IJCAI), Main Track. pp.6487-6495. https://doi.org/10.24963/ijcai.2025/722, Montreal, Canada. Aug. 16-22, 2025 (CORE A*, acceptance rate: 19.3%)

6. J. Bian, W. Zhai, Xiaodi Huang, J. Zheng and S. Zhu, VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Entity Recognition, 27th European Conference on Artificial Intelligence (ECAI), 19-24 OCTOBER 2024, Santiago de Compostela, pp.1583 – 1590, IOS Press, 9781643685489 (CORE A)

7. J Bian, R Jiang, W Zhai, T Huang, X Huang, Hong Zhou, S Zhu, DMNER: Biomedical Named Entity Recognition by Detection and Matching, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024, pp. 872-878, doi: 10.1109/BIBM62325.2024.10822274.

8. Z. Liu, X. Wang, Xiaodi Huang, G. Li, K. Sun, Z. Chen, Incomplete Multi-View Representation Learning Through Anchor Graph-Based GCN and Information Bottleneck, the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), pp. 1- 5, 2024

9. X Liao, Xiaodi Huang, W Huang, A Deeping Learning Based Framework and System for Effective Land Use Mapping, Lecture Notes in Computer Science book series (LNCS, volume 14166), 2023, Springer

10. Zhirui Liao, Xiaodi Huang, Hiroshi Mamitsuka, Shanfeng Zhu, Drug3D-DTI: Improved Drug-target Interaction Prediction by Incorporating Spatial Information of Small Molecules, The IEEE International Conference on Bioinformatics and Biomedicine BIBM 2021.

11. Junyi Bian, Li Huang, Xiaodi Huang, Hong Zhou and Shanfeng Zhu, GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, pp.2674-2685, 2021. 10.18653/v1/2021.findings-acl.236.

12. W Huang, MJ Goodwin, Xiaodi Huang, ML Huang, J Luo, DGViewer: A Hybrid Approach towards Visualisation of Dynamic Networks, 24th International Conference Information Visualisation (IV), 63-67,2020.

13. Liu, F., Xiaodi Huang, & Huang, W., Comparing machine learning algorithms to predict topic keywords of student comments, Cooperative Design, Visualization, and Engineering: 17th International Conference on Cooperative Design, Visualization and Engineering. Vol. 12341. p. 178-183, 2020.

14. Zhirui Liao, Ronghui You, Xiaodi Huang, Xiaojun Yao, Tao Huang, and Shanfeng Zhu, DeepDock: Enhancing Ligand-protein Interaction Prediction by a Combination of Ligand and Structure Information, The IEEE International Conference on Bioinformatics and Biomedicine, pp.311-317, 2019.

15. Suyang Dai, Zihan Zhang, Wenxuan Zuo, Xiaodi Huang, Shanfeng Zhu, GrantExtractor: A Winning System for Extracting Grant Support Information from Biomedical Literature, The IEEE International Conference on Bioinformatics and Biomedicine, pp.333-340, 2018

16. X Liao, X Huang, W Huang, Visualization of Farm Land Use by Classifying Satellite Images, International Conference on Cooperative Design, Visualization and Engineering, pp. 287-290. 2018, Springer

17. Xiaodi Huang, Muxiong Huang, Weidong Huang, A Novel Metric for Edge Centrality, BDIOT Proceedings of the International Conference on Big Data and Internet of Thing, pp16-20, 2017, ACM.

18. Xiaodi Huang, Weidong Huang, Wei Lai, UIP: Estimating True Rating Scores of Services through Online User Communities, IEEE Symposium Series on Computational Intelligence (SSCI), Athens, 2016, pp. 1-7. doi: 10.1109/SSCI.2016.7849918

19. Shibli Saleheen, Wei Lai, Xiaodi Huang, Weidong Huang, Mao Lin Huang, What Next in Designing Personalized Visualization of Web Information, Cooperative Design, Visualization, and Engineering, Lecture Notes in Computer Science Volume 9929, Springer International Publishing, pp. 134-141,2016

20. Xiaodi Huang, Xiaoling Dai, Edwin Singh, Weidong Huang, Evaluating a Micro-payment System for Mobile Electronic Commence, Cooperative Design, Visualization, and Engineering, Lecture Notes in Computer Science Volume 9320, Springer International Publishing, pp. 87-92, 2015

21. W Huang, B Kaminski, J Luo, X Huang, J Li, A Ross, SMART: Design and Evaluation of a Collaborative Museum Visiting Application, Cooperative Design, Visualization, and Engineering, Lecture Notes in Computer Science Volume 9320, Springer International Publishing, pp. 57-64,2015

22. L. Wu, J. Shepherd, Xiaodi Huang, C. Hu, Robust User Community-Aware Landmark Photo Retrieval, MultiMedia Modeling, Lecture Notes in Computer Science Volume 8936, Springer International Publishing, pp. 403-414, 2015

23. Weidong Huang, Xiaodi Huang, Wei Lai, RE-Tutor: An Augmented Reality based Platform for Distributed Collaborative Learning, Cooperative Design, Visualization and Engineering, Lecture Notes in Computer Science Volume 8683, 2014, pp. 111-117, Springer.

24. Xiaodi Huang, Edge Filtering for Exploration of Graphs, IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), pp.115-116, 2013 (best poster paper).

25. Anwar H. Masud, Xiaodi Huang, ESaaS: A New Software Paradigm for Supporting Higher Education in Cloud Environment, the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013, pp.196-201.

26. Zhenzhen Zhao, Xiaodi Huang, and Noel Crespi, A System for Web Widget Discovery Using Semantic Distance between User Intent and Social Tags, Social Informatics, 2012, Lecture Notes in Computer Science Volume 7710, pp.1-14, Springer.

27. Qiang Lin, Daqing Zhang, Xiaodi Huang, Hongbo Ni, Xingshe Zhou, Detecting Wandering Behavior for Elders with Dementia based on GPS Traces,12th International Conference on Control, Automation, Robotics and Vision (ICARCA), pp. 672-677, 2012.

28. Cuiting Huang, Xiao Han, Xiaodi Huang, Noel Crespi, “A triplex-layer based P2P Service Exposure Model in Convergent Environment”, UP-TO-US: User-Centric Personalized TV ubiquitOus and secUre Services, EuroITV 2012, Germany, pp.306-314, ISBN:978-3-00-038715-9, editors: Sefan A. Stephan S., Hendrik, K, and Jan H.

29. Md. Anwar Hossain Masud, Xiaodi Huang, “A Novel Approach for Adopting Cloud-based E-learning System”, 11th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2012, Shanghai, China, 2012, pp.37-42.

30. Md. Anwar Hossain    Masud, Xiaodi Huang, Jianming Yong, Cloud Computing for Higher Education: A Roadmap, 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2012, pp.552-557.

31. Yang Wang, Lin Wu, Xiaodi Huang, Action recognition using tri-view constraints, The 8th IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS), 2011, pp.107-112.

32. Jianming Yong, Sanjib Tiwari, Huang Xiaodi, Jin, Qun, Constructing Robust Digital Identity Infrastructure for Future Networked Society, 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2011, pp.570-576.

33. Anwar H. Masud, Xiaodi Huang, Jianming Yong, Enhanced M-Learning with Cloud Computer: The Bangladesh Case. 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2011, pp.735-741.

34. Yang Wang, Xiaodi Huang, Geometric Median-Shift over Riemannian Manifolds. PRICAI 2010: Trends in Artificial Intelligence Lecture Notes in Computer Science, 2010, Volume 6230/2010, pp. 268-279, DOI: 10.1007/978-3-642-15246-7_26 (Web of Science 13).

35. Zhikui Chen, Zhuang Shao, Zhijiang Xie, Xiaodi Huang, An attribute-based scheme for service recommendation using association rules and ant colony algorithm, Wireless Telecommunications Symposium (WTS), 2010, pp.1- 6, 10.1109/WTS.2010.5479624, IEEE.

36. Wei Lai, Xiaodi Huang, From graph data extraction to graph layout: Web information visualization. The 3rd International Conference on Information Sciences and Interaction Sciences (ICIS), pp. 224- 229, 10.1109/ICICIS.2010.5534742. 

37. Yang Wang, Weidi Dai, Xiaodi Huang, Riemannian Manifolds clustering via Geometric median. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 10.1109/FSKD.2010.5569375 2010, pp.1652-1656, IEEE.

38. Zhikui Chen, Zhuang Shao, Xiaodi Huang, Yang Liu, LSAP: Low Storage Authentication Protocol for cluster-based wireless, sensor networks, International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). 10-11 Oct. 2009, pp.218 - 225, ISBN: 978-1-4244-5218-7, DOI 10.1109/CYBERC.2009.5342204.

39. Zhikui Chen, Song Yang, Xiaodi Huang, Yang Liu, An adaptive feedback timing control algorithm of delay-constrained data aggregation in wireless sensor networks, International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). 10-11 Oct. 2009, pp.337-342, ISBN: 978-1-4244-5218-7, DOI: 10.1109/CYBERC.2009.5342205.

40. Lachana Ramingwong, A. S. M. Sajeev, Sakgasit Ramingwong, Xiaodi Huang, Analysing Software Process Models using SAM. Software Engineering Research and Practice, pp.50-54, 2009.

41. Xiaodi Huang, Jianming Yong, Jiuyong Li, Junbin Gao, Prediction of student actions using weighted Markov models, IEEE International Symposium on IT in Medicine and Education (ITME). pp.154-159, pp.12-14, 2008

42. Lachana Inchaiwong, A. S. M. Sajeev, Xiaodi Huang, Sakgasit Ramingwong, A Comparison of Software Process Models, Proceedings of the 2008 International Conference on Software Engineering Research and Practice (SERP), pp.503-509, 2008, USA, 2 Volumes, CSREA Press,1-60132-088-4.

43. Di Zhang, Yunquan Zhang, Shengfei Liu, Xiaodi Huang, Parallelization of FM-Index, 10th IEEE International Conference on High Performance Computing and Communications (HPCC), pp.169-173, 25-27, 2008.

44. Zhikui Chen, Xiaodi Huang, Dynamic Fast Authentication and Authorization during Inter-Domain Mobility, 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), pp.1-4, 2008.

45. Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming Yong, A Fast Algorithm for Finding Correlation Clusters in Noise Data, Lecture Notes in Computer Science, 2007, Volume 4426, Advances in Knowledge Discovery and Data Mining, pp. 639-647.

46. Wei Lai; Xiaodi Huang, An Efficient Approach for Building Web-based Courseware, First IEEE International Symposium on Information Technologies and Applications in Education (ISITAE), pp.260-263, 2007.

47. Xiaodi Huang, Wei Lai, Maolin Huang et al. A Kernel-based Algorithm for Multilevel Drawing Web Graphs, International Conference on Computer Graphics, Imaging and Visualisation (CGIV), pp. 454-459, 2007, the IEEE Computer Society.

48. Wei Lai, Xiaodi Huang, Quang Vinh Nguyen, Mao Lin Huang, Applying Graph Layout Techniques to Web Information Visualization and Navigation, International Conference on Computer Graphics, Imaging and Visualisation (CGIV), pp. 447-453, 2007, the IEEE Computer Society.

49. Mao Lin Huang, Q.V Nguyen, Wei Lai, Xiaodi Huang, Three-Dimensional EncCon Tree, International Conference on Computer Graphics, Imaging and Visualisation (CGIV), pp.429-433, 2007, the IEEE Computer Society.

50. Hua Wang, Xiaodi Huang, Goutham Reddy Dodda, Ticket-based mobile commerce scheme and its implementation, the 2nd ACM International Workshop on QoS and Security for Wireless and Mobile Networks, 2-6, Oct 2006, Terromolinos, Spain, pp.119-122, ISBN:1-59593-486-3, ACM Press, New York, NY, USA.

51. Xiaodi Hung, A. S. M. Sajeev, Wei Lai, A Scalable Algorithm for Adjusting Node-Node Overlaps, International Conference on Computer Graphics, Imaging and Visualization (CGIV), pp 43-48, ISBN 0-7695-2606-3, pp.25-28, 2006, the IEEE Computer Society.

52. J. Yong, J. Yan, Xiaodi Huang, WFMS-based Data Integration for e-Learning, Proc. of the 10th International Conference on CSCW in Design (CSCWD), pp.1361-1366, ISBN:1-4244-0164-X, Nanjing, China, May 3-5, 2006.

53. Adam Ghandar, A. S. M. Sajeev, Xiaodi Huang, Pattern Puzzle: A Metaphor for Visualizing Software Complexity Measures. In Proc. Asia Pacific Symposium on Information Visualisation (APVIS), Tokyo, Japan. CRPIT, 60 Australian Computer Society 2006. Misue, K., Sugiyama, K. and Tanaka, J., Eds., ACS. pp. 221-224, 2006.

54. Xiaodi Huang, Peter Eades, Wei Lai, A Framework of Filtering, Clustering and Dynamic Layout Graphs for Visualization, In Proc. Twenty-Eighth Australasian Computer Science Conference (ACSC), Newcastle, Australia. CRPIT, 38 Australian Computer Society. Estivill-Castro, V., Ed. ACS, pp.87-96, 2005.

55. Xiangsheng Chen, Jiuyong Li, Grant Daggard, Xiaodi Huang, Finding Similar Patterns in Microarray Data, AI 2005, Lecture Notes in Computer Science, pp. 1272-1276, Vol. 3809 / 2005, Shichao Zhang, Ray (Eds.) 2005.

56. Yun Yang, Wei Lai,Jun Shen, Xiaodi Huang,Jun Yan, Lukman Satiawan, Applying Visualization Mechanisms to Workflow Enactment, Lecture Notes in Computer Science, Vol. 3007, pp. 794-803, Advanced Web Technologies and Applications, Yu, J.X.; Lin, X.; Lu, H.; Zhang, Y. (Eds.) 2004. (ERA B)

57. Xiaodi Huang, Jianming Yong, A New Approach to Filtering Multimedia Information Based on its Structure, In Proc.Eurographics Symposium on Multimedia (in cooperation with ACM SIGGRAPH), Correia, Jarge, Chambel, Pan (eds.), ISSN 1812-7118, pp.59-68, 2004.

58. Xiaodi Huang, Wei Lai, On the Structural Algorithm of Filtering Graphs for Layout, In Proc. 2003 Pan-Sydney Area Workshop on Visual Information Processing (VIP2003), Sydney, Australia. CRPIT, 36 Australian Computer Society, 36. Piccardi, M., Hintz, T., He, S., Huang, M. L. and Feng, D. D., Eds., ACS, pp.33-42, 2003.

59. Xiaodi Huang, Wei Lai, A Novel Framework for Graph Visualization, Proceedings of the International Conference on Internet Computing, pp.905-910, USA, 2004.

60. Xiaodi Huang, Wei Lai, A Web Graph Filtering and Clustering System, Proceedings of the International Conference on Internet Computing, pp. 899-904, USA, 2004.

61. Xiaodi Huang, Wei Lai, Automatic Abstraction of Graphs Based on Node Similarity for Graph Visualization, Proceedings of the Fifteenth International Conference on Software Engineering and Knowledge Engineering, pp.110-117, July 2003, San Francisco Bay.

62. Xiaodi Huang, Wei Lai, Identifying Clusters in the Web Graph by Using Local Search. Proceedings of the International Conference on Internet Computing, pp. 83-89, Las Vegas, USA. 2003.

63. Xiaodi Huang, Wei Lai, NodeRank: A New Structure-Based Approach to Information Filtering. Proceedings of the International Conference on Internet Computing, pp.167-173, Las Vegas, USA. 2003.

64. Xiaodi Huang, Wei Lai, Identification of Clusters in the Web Graph based on Link Topology, Proceedings of the 7thInternational Database Engineering and Applications Symposium (IDEAS 03), pp.123-129, IEEE Computer Society, July 2003, Hong Kong.

65. Xiaodi Huang, Wei Lai, Force-Transfer: A New Approach to Remove Node Overlapping in Graph Layout, Australian Computer Science Communications, Vol. 25, No. 1, pp.349-358, 2003.

66. Xiaodi Huang, Wei Lai, WWW as a Hypergraph: Exploration and Layout, Proceedings of the International Conference on Internet Computing, pp.615-621, Las Vegas, USA, June. 2002.