Research

Current Research

• Artificial intelligence, deep learning

  • Working on several projects of deep learning in healthcare, medical image analysis, drug development. Research partners come from Sichuan University, Huaxi Hospital, Southwest Medical University, Chongqing Medical University, Aier Eye Hospital Group, Chengdu First People's Hospital, etc.

  • Reservoir computing for financial time series analysis and chaotic system prediction

  • Photonic AI chips

  • AI technologies for blind people

• Blockchain

  • Blockchain based supply chain finance, blockchain based drug development financing

  • Blockchain ethics

• Technology and digital society

  • AI impacts on society, issues of aging society

  • User behaviors in social media use

  • Content based analysis to understand the impacts of government policies to emerging technologies: AI, big data, and blockchain.

• Social network analysis, econophysics

  • Working on research of alliance network performance, computational sociology

  • financial big data analysis using random matrix theory

Some works are under reviews in various journals and some are in preparation for submissions.

Publications

1. X. Wang, Y. Liu, Z. Rong, W. Wang, M. Han, M. Chen, J. Fu, Y. Chong, X. Long, Y. Tang, and W. Chen. Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: A cross-sectional study. Journal of Parenteral and Enteral Nutrition, pages 1–8, 2024.

2. Z. Zhao, X. Li, Y. Zhuang, F. Li, W. Wang, Q. Wang, S. Su, J. Huang, and Y. Tang. A non-invasive method to determine core temperature for cats and dogs using surface temperatures based on machine learning. BMC Veterinary Research, 20(1):199–8, May 2024.

3. W.-Z. Lan, H. Tang, L.-B. Wen, Z. Chen, Y.-l. Zhou, W.-w. Dai, M. Wang, X.-n. Li, W.-J. Wang, F. Tang, Z.-k. Yang, and Y. Tang. Artificial Intelligence–Assisted Prescription Determination for Orthokeratology Lens Fitting: From Algorithm to Clinical Practice. Eye & Contact Lens, page 10.1097/ICL.0000000000001091, May 2024. 

4. W. Wang, Y. Nie, W. Li, T. Lin, M.-S. Shang, S. Su, Y. Tang, Y.-C. Zhang, and G.-Q. Sun. Epidemic spreading on higher-order networks. Physics Reports, 1056:1–70, 2024.

5. D. Chen, W. Wang, S. Wang, M. Tan, S. Su, J. Wu, J. Yang, Q. Li, Y. Tang, and J. Cao. Predicting postoperative delirium after hip arthroplasty for elderly patients using machine learning. Aging Clinical and Experimental Research, 35(6):1241–1251, 2023.

6. Y. Huang, H. Yue, W. Ma, Y. Zhang, Y. Xiao, Y. Tang, H. Tang, and T. Chu. Parallel photonic acceleration processor for matrix–matrix multiplication. Optics Letters, 48(12):3231–3234, June 2023.

7. Y. Huang, H. Yue, W. Ma, Y. Zhang, Y. Xiao, W. Wang, Y. Tang, X. Hu, H. Tang, and T. Chu. Easily Scalable Photonic Tensor Core Based on Tunable Units with Single Internal Phase Shifters. Laser & Photonics Reviews, n/a(n/a):2300001, Apr. 2023.

8. H. Liu, Z. Lu, X. Ye, Y. Xiao, Y. Peng, W. Zhang, Y. Tang, H. Tang, and X. Peng. A convolutional neural network based calibration scheme for pipelined adc. In 2023 IEEE International Symposium on Circuits and Systems (ISCAS), pages 1–5, 2023.

9. S. Liu, Q. Li, Y. Zhao, W. Wang, G. Yao, S. Gao, J. Feng, Q. Zhan, and Y. Tang. A novel thermo- optic phase shifter based on anti-symmetric bragg grating. In 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM), pages 1–4, 2023.

10. Y. Peng, Y. Ma, Z. Liu, L. Wang, Y. Wu, N. Chen, and Y. Tang. Efficient smart contract testing scheme supporting transactions filtering. Journal of Xidian University, pages 1–10, 2023.

11. Y. Tang, J. Xiong, Z. Cheng, Y. Zhuang, K. Li, J. Xie, and Y. Zhang. Looking into the market behaviors through the lens of correlations and eigenvalues: An investigation on the chinese and us markets using rmt. Entropy, 25(10), 2023.

12. Y. Xiao, X. Peng, H. Tang, and Y. Tang. Optical neural network with complementary decomposition to overcome the phase insensitive constrains. IEEE Journal of Selected Topics in Quantum Electronics, 29(2: Optical Computing):1–8, 2023.

13. X.-N. Jia, W.-J. Wang, B. Yin, L.-J. Zhou, Y.-Q. Zhen, L. Zhang, X.-L. Zhou, H.-N. Song, Y. Tang, and F. Gao. Deep learning promotes the screening of natural products with potential microtubule inhibition activity. ACS Omega, 7(32):28334–28341, 2022.

14. D. Luo, F. Kuang, J. Du, M. Zhou, X. Liu, X. Luo, Y. Tang, B. Li, and S. Su. Artificial intelligence– assisted endoscopic diagnosis of early upper gastrointestinal cancer: A systematic review and meta- analysis. Frontiers in Oncology, 12, 2022.

15. Y. Tang, X. Che, W. Wang, S. Su, Y. Nie, and C. Yang. Radiomics model based on features of axil- lary lymphatic nodes to predict axillary lymphatic node metastasis in breast cancer. Medical Physics, n/a(n/a), 2022.

16. Y. Tang, X. Gao, W. Wang, Y. Dan, L. Zhou, S. Su, J. Wu, H. Lv, and Y. He. Automated Detection of Epiretinal Membranes in OCT Images Using Deep Learning. Ophthalmic Research, Sept. 2022.

17. J. Wu, D. Li, Y. Tang, Y. Zheng, X. Yang, B. Li, C. Fang, and S. Su. Research progress on the application of artificial intelligence-assisted medical image recognition technology. Journal of Modern Medicine Health, 38(4):603–607, February 2022.

18. Y. Xiao, Y. Tang, X. Peng, and H. Tang. A method executing optical real-valued matrix multiplication. In 2022 IEEE 5th International Conference on Electronics Technology (ICET), pages 1219–1223, 2022.

19. W. Pan, X. Li, W. Wang, L. Zhou, J. Wu, T. Ren, C. Liu, M. Lv, S. Su, and Y. Tang. Identification of barrett’s esophagus in endoscopic images using deep learning. BMC Gastroenterology, 21(1):479, 2021.

20. X. Peng, Y. Mi, Y. Zhang, Y. Xiao, W. Zhang, Y. Tang, and H. Tang. A neural network-based harmonic suppression algorithm for medium-to-high resolution adcs. In 2021 5th IEEE Electron Devices Technology Manufacturing Conference (EDTM), pages 1–3, 2021.

21. Y. Tang, Z. Chen, W. Wang, L. Wen, L. Zhou, M. Wang, F. Tang, H. Tang, W. Lan, and Z. Yang. A deep learning–based framework for accurate evaluation of corneal treatment zone after orthokeratology. Translational Vision Science & Technology, 10(14):21–21, 2021.

22. Y. Tang, C. M. Yang, S. Su, W. J. Wang, L. P. Fan, and J. Shu. Machine learning-based radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma. BMC Cancer, 21(1):1268, 2021.

23. Y. Tang, Y. Zheng, X. Chen, W. Wang, Q. Guo, J. Shu, J. Wu, and S. Su. Identifying periampullary regions in mri images using deep learning. Frontiers in Oncology, 11:1637, 2021.

24. W.-J. Wang, Y. Tang, J. Xiong, and Y.-C. Zhang. Stock market index prediction based on reservoir computing models. Expert Systems with Applications, 178:115022, 2021.

25. H. Zhou, Q. Xing, and Y. Tang. Research on linkage between data openness and privacy protection policy based on policy text computing. Library Tribune, 41(11):118–127, 2021.

26. J. Xiong, C. Chen, H. Choi, and Y. Tang. Enhancing loyalty to mobile payment services: An empirical study. In 60th International Association for Computer Information Systems Annual Conference, 2020.

27. J. Xiong, H. S. Choi, C. Chen, and Y. Tang. Enhancing loyalty to mobile payment services. Issues in Information Systems, 21(2):30–42, 2020.

28. J. Xiong and Y. Tang. Mobile cryptocurrency for development in asia-moderating effects of advantage, complexity, and compatibility. In Americas Conference on Information Systems (AMCIS’20), August 2020.

29. X.-J. Zhang, Y. Tang, J. Xiong, W.-J. Wang, and Y.-C. Zhang. Ranking game on networks: The evolution of hierarchical society. Physica A: Statistical Mechanics and its Applications, 540:123140, 2020.

30. C. Chen, H. Choi, J. Xiong, and Y. Tang. Aligning the factors of skill, technology and task to influence the continued use of mobile payment users in china. Journal of Information Systems Applied Research, 12(2):18, 2019.

31. Y. Tang, J. Xiong, R. Becerril-Arreola, and L. Iyer. Blockchain ethics research: A conceptual model. In Proceedings of the 2019 on Computers and People Research Conference, SIGMIS-CPR ’19, pages 43–49, New York, NY, USA, 2019. ACM.

32. Y. Tang, J. J. Xiong, Y. Luo, and Y.-C. Zhang. How do the global stock markets influence one another? evidence from finance big data and granger causality directed network. International Journal of Electronic Commerce, 23(1):85–109, 2019.

33. H. Wang, Y. Tang, Z. Jia, and F. Ye. Dense adaptive cascade forest: a self-adaptive deep ensemble for classification problems. Soft Computing, 2019.

34. J. Xiong, Y. Tang, and D. Medlin. Conceptualization of blockchain-based applications: Technical back- ground and social perspective. In Proceedings of the Conference on Information Systems Applied Research ISSN, volume 2167, page 1508, 2019.

35. T. Yong, X. Jason, B.-A. Rafael, and I. Lakshmi. Ethics of blockchain: A framework of technology, applications, impacts, and research directions. Information Technology & People, 33(2):602–632, 2019.

36. X.-J. Zhang, Y. Tang, J. Xiong, W.-J. Wang, and Y.-C. Zhang. How network topologies impact project alliance performance: Evidence from the movie industry. Entropy, 21(9), 2019.

37. C. Chen, H. Choi, J. Xiong, and Y. Tang. Improve the loyalty of mobile payment users in china by increasing the fit between skill, technology and task. In The Conference on Information Systems Applied Research (CONISAR’18), Norfolk, VA, USA, Novermber 2018.

38. Y. Tang, J. J. Xiong, Z.-Y. Jia, and Y.-C. Zhang. Complexities in financial network topological dynamics: Modeling of emerging and developed stock markets. Complexity, 2018:4680140, 2018.

39. J. Xiong, Y. Tang, and D. Medlin. Analysis of agile learning into information systems project class: A cognitive apprenticeship approach. In 5th Appalachian Research in Business Symposium (ARBS’18), East Tennessee State University, Johnson City, TN, USA, March 2018.

40. X.-J. Zhang, Y. Tang, J. Xiong, W.-J. Wang, and Y.-C. Zhang. Dynamics of cooperation in minority games in alliance networks. Sustainability, 10(12), 2018.

41. Y.-T.-Y. Zhao, Z.-Y. Jia, Y. Tang, J. J. Xiong, and Y.-C. Zhang. Quantitative learning strategies based on word networks. Physica A: Statistical Mechanics and its Applications, 491:898–911, 2018.

42. Y. Tang, J. Xiong, Y. Luo, and Y.-C. Zhang. An econophysics approach to understand the network structures and statistical validation of stock markets. In 4th Appalachian Research in Business Symposium (ARBS’17), Appalachian State University, Boone, NC, USA, 2017.

43. F. Tan, D.-Y. Qiu, L.-P. Guo, P. Ye, H. Zeng, J. Jiang, Y. Tang, and Y.-C. Zhang. Separate density and viscosity measurements of unknown liquid using quartz crystal microbalance. AIP Advances, 6(9):095313, 2016.

44. Y. Luo, J. Xiong, L. G. Dong, and Y. Tang. Statistical correlation properties of the SHIBOR interbank lending market. China Finance Review International, 5(2):91–102, May 2015.

45. Y. Luo, B. Zhu, and Y. Tang. Simulated annealing algorithm for optimal capital growth. Physica A: Statistical Mechanics and its Applications, 408:10 – 18, 2014.

46. Y. Tang, Y. Luo, J. Xiong, F. Zhao, and Y.-C. Zhang. Impact of monetary policy changes on the chinese monetary and stock markets. Physica A: Statistical Mechanics and its Applications, 392(19):4435 – 4449, 2013.

47. Y. Luo, B. Zhu, and Y. Tang. Dynamic optimal capital growth with risk constraints. Economic Modelling, 30:586–594, 2013.

48. Y. Tang. Interactive pervasive wireless services over gprs and bluetooth. In 2009 Eighth IEEE Interna- tional Conference on Dependable, Autonomic and Secure Computing, pages 796–801, 2009.

49. Y. Tang and Y.-K. Ma. Information diffusion in small-world social networks. Journal of System Simu- lation, 18(4):1084–1087, 2006.

50. Y. Tang and F. Li. Cost and risk of commercial and open-source softwares in information system. In The Conference of China Association of Information System (CNAIS’05), Beijing, Novermber 2005.

51. Y. Tang and Y.-K. Ma. Improved ant colony algorithm for multi-objective optimization. Journal of University of Electronic Science and Technology of china, 34(2):281–284, 2005.

52. Y. Tang and Y. Ma. An ant-based clustering algorithm in data mining. In Proceedings of the International Conference of Electronic Business, pages 1101–1105, 2004.

53. Y. Tang, Y.-k. Ma, and X.-w. Tang. An improved ant colony algorithm for function optimization. Application Research of Computers, 9, 2004.

54. Y. Tang. Dicom medical image processing. In 3rd Sichuan Medical Information Technology Conference, September 2002.

Funded Major Research Projects

1. 2022.08-2025.07, Jun Cao (The First Affiliated Hospital of Chongqing Medical University), Yong Tang (UESTC), Factors Analysis and predicting postoperative delirium after hip arthroplasty for elderly patients using machine learning, Natural Science Foundation of Chongqing, Science and Technology Bureau of Chongqing (CSTB2022NSCQ-MSX0854), $14,971/¥100,000.

2. 2023.01-2026.12, Jian Shu (Southwest Medical University), Yong Tang (UESTC), Study of quantitative decision-making for extrahepatic cholangiocarcinoma based on small sample and multimodal data, National Natural Science Foundation of China General Project (82272077), $74,738/¥520,000.

3. 2021.01-2025.12, Peking University, Zhejiang University, Yong Tang (UESTC), Optical Chip for Matrix Calculation, Key Program of National Natural Science Foundation of China (62035001), $443,154/¥2960,000.

4. 2020.10-2022.12, Yong Tang, Key Technologies for Intelligent 2022 Winter Olympics Games, National Key Research and Development Project (2020YFF0305104), The Ministry of Science and Technology of the People's Republic of China, $1,242,628/¥8300,000.

5. 2021.01-2023.12, Yong Tang, Optical AI Chip, Key Technology Innovation and Application Development Program of Chongqing (CSTC2020JSCX-CYLHX0006), $14,9714/¥1000,000.

6. 2020.01-2021.7, Song Su (Southwest Medical University), Yong Tang, AI assisted diagnosis of periampullary cancer in MRI Images, The Key Research and Development Project of Science & Technology Department of Sichuan Province (20ZDYF1129), $28,507/¥200,000.

7. 2019.09-2021.09, Zhi-Kuan Yang(Aier Eye Hospital, Zhongnan University), Yong Tang, etc., Research of Key Technologies in Myopia Prevention, Control, and Clinical Treatment for Children and Youths, Hunan Provincial Department of Science and Technology (2019SK2051), 2019 Huan Province Key Research and Development Program, $770,000/¥5,000,000.

8. 2019-20XX, A NEW MAJOR FUNDING. AI again! $697,047/¥4,500,000.

9. 2019-20XX, A MAJOR FUNDING. It's AI! $185,879/¥1,200,000.

10. 2019.01-2020.12, Song Su (Southwest Medical University), Yong Tang, Clinical research of Deep Learning Assisted Nerve Detection in Ultrasound Guiding Anesthesia, No. 2018-JYJ-45, Luzhou Municipal Science and Technology Bureau,  $14,963.56/¥100,000.

11. 2019.01-2020.12, Yong Tang, Interdisciplinary AI Course, Ministry of Education of P.R. China & Baidu Inc., $4,375.86/¥30,000.

12. 2019.01-2022.12, Prof. Yunfei Shao (UESTC) with Yong Tang et al., The Mechanism of Breakthrough Innovation Value Co-creation: Cross-boundary, Evolution, and Business Logic Transformation, National Natural Science Foundation of China, No.71872027, $71,646.

13. 2018.7-2019.7, Yong Tang, Jie Xiong, Rafael Becerril Arreola, Lakshmi Iyer, A Framework For Blockchain Ethics Research, ACM SPECIAL INTEREST GROUP ON MIS Research Funding ACADEMIC YEAR 2018-19, $3,000.

14. 2018.7-2019.7, AI Based OK Lens Prediction Algorithm Research, AIER Eye Hospital Group, $37,408.90/¥250,000.

15. 2017.10-2020.10, Sichuan Innovation Public Service Platform Program, Science and Technology Department of Sichuan Province, No.2017IM010700, $11,9708.48/¥800,000.

16. 2017.6-Present, Large Science Reliability Research and System Development, $68,832.38/¥460,000.

17. 2017.3-Present, Major Diseases Intelligent Screening Technology Based on Medical Big Data, Sichuan Luzhou Science and Technology Bureau, $52,372.46/¥350,000.

18. 2016.11-2017.10, Corpus of Chinese Spoken Language, Alibaba Artificial Intelligence Lab, $XX,XXX (hidden for business secrets).

Selected Funded Research Projects listed here are only those after 2017. Before that, I have been the investigator or co-investigator for dozens of funded projects from public sectors and private sectors including Ministry of Science and Technology of China, Chinese Natural Science Foundation, Science and Technology Department of Sichuan Province, Science and Technology Bureau of Chengdu High-Tech Zone, and many companies in various fields. Total funding exceeds one million dollars.