Research Output

1. Chromothripsis Detection with Multiple Myeloma Patients Based on Deep Graph Learning
Yu, J., Chen, N., Zheng, Z., Gao, M., Liang, N. and Wong, K.C., Jul 2023, In: Bioinformatics, 39, 7, 9 p.btad422.

2. Deep into The Domain Shift : Transfer Learning through Dependence Regularization
Ma, S., Yuan, Z., Wu, Q., Huang, Y., Hu, X., Leung, C.H., Wang, D. and Huang, Z., Jun 2023, In: IEEE Transactions on Neural Networks and Learning Systems.

3. Optimizing Demand Response in Distribution Network with Grid Operational Constraints
Zhao, T., Zhou, M., Mo, Y., Wang, J.M., Luo, J., Pan, X. and Chen, M., Jun 2023, In: Proceedings of the 14th ACM International Conference on Future Energy Systems (pp. 299-313)

4. Limited Fault Data Augmentation with Compressed Sensing for Bearing Fault Diagnosis
Wang, D., Dong, Y., Wang, H. and Tang, G., May 2023, In: IEEE Sensors Journal.

5. Commodity momentum: A tale of countries and sectors
Fan, J.H. and Qiao, X., Mar 2023, In: Journal of Commodity Markets, 29, p.100315.

6. Machine Learning in Metastatic Cancer Research: Potentials, Possibilities, and Prospects
Petinrin, O.O., Saeed, F., Toseef, M., Liu, Z., Basurra, S., Muyide, I.O., Li, X., Lin, Q. and Wong, K.C., Mar 2023, In: Computational and Structural Biotechnology Journal.

7. A Combinatorial Machine-learning-driven Approach for Predicting Glass Transition Temperature Based on Numerous Molecular Descriptors
Li, D., Dong, C., Chen, Z., Dong, Y. and Liu, J., Mar 2023, In: Molecular Simulation, 49(6), pp.617-627.

8. Short-term Forecasting of Origin-destination Matrix in Transit System via a Deep Learning Approach
He, Y., Zhao, Y. & Tsui, K., Feb 2023, In: Transportmetrica A: Transport Science, 19(2), p.2033348.

9. Knowledge-informed Sparse Learning for Relevant Feature Selection and Optimal Quality Prediction
Liu, Y. and Qin, S.J., Feb 2023, In: IEEE Transactions on Industrial Informatics.

10. Partial Least Squares, Steepest Descent, and Conjugate Gradient for Regularized Predictive Modeling
Qin, S.J., Liu, Y. and Tang, S., Dec 2022, In: AIChE Journal, 69(4), p.e17992.

11. Time-Varying Online Transfer Learning for Intelligent Bearing Fault Diagnosis With Incomplete Unlabeled Target Data
Zhou, Y., Dong, Y. and Tang, G., Dec 2022, In: IEEE Transactions on Industrial Informatics.

12. Sequence-to-Set Generative Models
Tang, L., Zhou, Y. and Yang, Y., Nov 2022, In: Advances in Neural Information Processing Systems, 35, pp.14986-14997.

13. Improving Gaussian Process Emulators with Boundary Information
Li, Z. and Tan, M.H.Y., Nov 2022, In: Artificial Intelligence, Big Data and Data Science in Statistics: Challenges and Solutions in Environmetrics, the Natural Sciences and Technology (pp. 171-192)

14. Portfolio Choice for Online Loans and Implications for Platforms
RD Gopal, X Qiao, MS Strub, Z Yang, Nov 2022, In: Journal of Commodity Markets

15. Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection
Wang, K., Yan, C., Mo, Y., Yuan, X., Wang, Y. and Yang, C., Oct 2022, In: IEEE Transactions on Industrial Informatics.

16. Reactions’ Descriptors Selection and Yield Estimation Using Metaheuristic Algorithms and Voting Ensemble
Petinrin, O.O., Saeed, F., Li, X., Ghabban, F. and Wong, K.C., Oct 2022, In: Computers, Materials and Continua, 70(3), pp.4745-4762.

17. Risk and Potential: An Asset Allocation Framework with Applications to Robo-Advising
Cui, X., Li, D., Qiao, X. & Strub, M. S., Sep 2022, In: Journal of the Operations Research Society of China, 10(3), pp.529-558.

18. LSTM and Statistical Learning for Dynamic Inferential Modeling with Applications to a 660MW Boiler
Li, J., Tan, P. and Qin, S.J., Aug 2022, In: IFAC-PapersOnLine, 55(7), pp.600-605.

19. Option Pricing via Breakeven Volatility
Hull, B., Li, A. and Qiao, X., Aug 2022, In: Financial Analysts Journal, 79(1), pp.99-119.

20. Performance Evaluation, Factor Models, and Portfolio Strategies : Evidence from Chinese Mutual Funds
Chi, Y., Liu, Y. and Qiao, X., Aug 2022, In: The Journal of Portfolio Management, 48(8), pp.159-176.

21. Subclass-specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma
Zheng, Z., Xie, W., Chen, X., Wang, F., Huang, L., Li, X., Lin, Q. & Wong, K., Aug 2022, In: IEEE Journal of Biomedical and Health Informatics, 26(8), pp.4303-4313.

22. A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input
Li, Z. and Tan, M.H.Y., Jul 2022, In: Technometrics, 64(3), pp.299-311.

23. Fractional Calculus & Machine Learning Methods Based Rubber Stress-strain Relationship Prediction
Li, D., Liu, J., Zhang, Z., Yan, M., Dong, Y. and Liu, J., Jul 2022, In: Molecular Simulation, 48(10), pp.944-954.

24. Latent State Space Modeling of High-Dimensional Time Series with a Canonical Correlation Objective
Yu, J. & Qin, S. J., Jun 2022, In: IEEE Control Systems Letters, vol. 6, pp. 3469-3474

25. Latent Vector Autoregressive Modeling and Feature Analysis of High Dimensional and Noisy Data from Dynamic Systems
Qin, S. J., Jun 2022, In: AIChE Journal, 68(6), p.e17703.

26. A Novel Two-step Sparse Learning Approach for Variable Selection and Optimal Predictive Modeling
Liu, Y. and Qin, S.J., Jun 2022, In: IFAC-PapersOnLine, 55(7), pp.57-64.

27. COVID-19 Effects on Intraday Stock Market Behavior
Nie, J., Qiao, X. & Yan, S., 2022, In: Transformations in Banking, Finance and Regulation, vol. 1, World Scientific , pp. 229-252

28. Mutual Fund Investing in the Chinese A-share Market
Chi, Y. and Qiao, X., 2022, In: Handbook of Banking and Finance in Emerging Markets, pp.32-50.

29. A Machine Learning Framework to Predict the Tensile Stress of Natural Rubber: Based on Molecular Dynamics Simulation Data
Huang, Y., Chen, Q., Zhang, Z., Gao, K., Hu, A., Dong, Y., Liu, J. & Cui, L., May 2022, In: Polymers, 14(9), p.1897.

30. Reducing Healthcare Disparities Using Multiple Multiethnic Data Distributions with Fine-tuning of Transfer Learning
Toseef, M., Li, X. & Wong, K., May 2022, May 2022, In: Briefings in Bioinformatics, 23(3), p.bbac078.

31. Fault Diagnosis of Dynamic Processes with Reconstruction and Magnitude Profile Estimation for an Industrial Application
Liu, Q., Song, B., Ding, X. and Qin, S.J., Apr 2022, In: Control Engineering Practice, 121, p.105008.

32. Human Disease Prediction from Microbiome Data by Multiple Feature Fusion and Deep Learning
Chen, X., Zhu, Z., Zhang, W., WANG, Y., Wang, F., Yang, J. & Wong, K. C., Apr 2022, In: Iscience, 25(4).

33. Multi-fidelity Gaussian Process Modeling with Boundary Information
Ye, W. & Tan, M. H. Y., Mar 2022, In: Applied Stochastic Models in Business and Industry, 38(2), pp.216-239.

34. Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients
Petinrin, O. O., Li, X. & Wong, K., Mar 2022, In: IEEE Journal of Biomedical and Health Informatics. 26, 3, p.

35. DeepMotifSyn: A Deep Learning Approach to Synthesize Heterodimeric DNA Motifs
Lin, J., Huang, L., Chen, X., Zhang, S. and Wong, K.C., Jan 2022, In: Briefings in Bioinformatics, 23(1), p.bbab334.

36. EGFI : Drug-drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
Huang, L., Lin, J., Li, X., Song, L., Zheng, Z. and Wong, K.C., Jan 2022, In: Briefings in Bioinformatics, 23(1), p.bbab451.

37. A Non-iterative Partial Least Squares Algorithm for Supervised Learning with Collinear Data
Qin, S. J., Dec 2021, In: 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 3683-3688). IEEE.

38. Optimal Option Hedging with Policy Gradient
Xiao, B., Yao, W. & Zhou, X., Dec 2021, In: 2021 International Conference on Data Mining Workshops (ICDMW) (pp. 1112-1119). IEEE.

39. Latent Vector Autoregressive Modeling for Reduced Dimensional Dynamic Feature Extraction and Prediction
Qin, S. J., Dec 2021, In: 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 3689-3694). IEEE.

40. Metric Learning Based Vision Transformer for Product Matching
Huang, L., Shao, W., Wang, F., Xie, W. & Wong, K., Dec 2021, In: Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part I 28 (pp. 3-13). Springer International Publishing.

41. A Stable Lasso Algorithm for Inferential Sensor Structure Learning and Parameter Estimation
Qin, S. J. & Liu, Y., Nov 2021, In: Journal of Process Control. 107, p. 70-82

42. Integration of Process Knowledge and Statistical Learning for the Dow Data Challenge Problem
Qin, S.J., Guo, S., Li, Z., Chiang, L. H., Castillo, I., Braun, B. & Wang, Z., Oct 2021, In: Computers and Chemical Engineering. 153, 107451.

43. Early Cancer Detection from Genome-wide Cell-free DNA Fragmentation via Shuffled Frog Leaping Algorithm and Support Vector Machine
Liu, L., Chen, X. & Wong, K., Oct 2021, In: Bioinformatics. 37, 19, p. 3099–3105 7 p.

44. Deep Learning Credit Risk Modeling
G Manzo, X Qiao, Sep 2021, In: The Journal of Fixed Income

45. Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance
Zhou, Y., Dong, Y., Zhou, H. and Tang, G., Sep 2021, In: IEEE Transactions on Instrumentation and Measurement

46. Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey.
Liu, L., Chen, X., Petinrin, O. O., Zhang, W., Rahaman, S., Tang, Z. & Wong, K., Jul 2021, In: Life. 11, 7, 638

47. Plant-wide Troubleshooting and Diagnosis Using Dynamic Embedded Latent Feature Analysis
Qin, S.J., Liu, Y. and Dong, Y., Jun 2021, In: Computers & Chemical Engineering, 152, p.107392.

48. Extracting a Low-dimensional Predictable Time Series
Dong, Y., Qin, S.J. and Boyd, S.P., May 2021, In: Optimization and Engineering, pp.1-26.

49. Noninvasive Early Diagnosis of Intestinal Diseases Based on Artificial Intelligence in Genomics and Microbiome
Zhang, W., Chen, X. & Wong, K., Apr 2021, In: Journal of Gastroenterology and Hepatology (Australia). 36, 4, p. 823-831

50. Stable Lasso for Model Structure Learning of Inferential Sensor Modeling
Qin, S.J. and Liu, Y., Jan 2021, In: IFAC-PapersOnLine, 54(7), pp.228-233.

51. Adaptive Dynamic Predictive Monitoring Scheme Based on DLV Models
Dong, Y. and Qin, S.J., Jan 2021, In: IFAC-PapersOnLine, 54(7), pp.91-96.

52. On Data Science for Process Systems Modeling, Control and Operations
Qin, S.J. and Dong, Y., Nov 2020, In: IFAC-PapersOnLine, 53(2), pp.11325-11331.

53. Bridging Systems Theory and Data Science: A Unifying Review of Dynamic Latent Variable Analytics and Process Monitoring
Qin, S.J., Dong, Y., Zhu, Q., Wang, J. and Liu, Q., Oct 2020, In: Annual Reviews in Control, 50, pp.29-48.

54. Capturing Deep Tail Risk via Sequential Learning of Quantile Dynamics
Wu, Q. and Yan, X., Dec 2019, In: Journal of Economic Dynamics and Control, 109, p.103771.