Selected Publications

SELECTED JOURNAL PUBLICATIONS

  1. Uddin A, Tao S., Chou, C.,Yu D., Are missing values important for earnings forecast? A machine learning perspective, Quantitative Finance

  2. Uddin A, Yu D. Latent factor model for asset pricing. Journal of Behavioral and Experimental Finance, January/2022.

  3. Xinyue Ye, Wenbo Wang, Xiaoqi Zhang , Zhenlong Li, Dantong Yu, Jiaxin Du, Zhihui Chen: Reconstructing spatial information diffusion networks with heterogeneous agents and text contents. Trans. GIS 25(4): 1654-1673 (2021)

  4. Sahu P, Yu D, Dasari M, Hou F, Qin H. A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation. IEEE Journal Biomed Health Inform. 2019 May;23(3):960-968.

  5. Yu, et al. KBase: The United States Department of Energy Systems Biology Knowledgebase, Nature Biotechnology, 2018.

  6. T. Li, Y. Ren, D. Yu (Corresponding Author), S. Jin, RAMSYS: Resource-Aware Asynchronous Data Replication with Multicore SYStems, IEEE Transactions on Parallel and Distributed Systems, Volume 28, Issue 5, 2017.

  7. T. Li, Y. Ren, D. Yu (Corresponding Author), S. Jin, Analysis of NUMA Effects in Modern Multicore Systems for the Design of High-performance Data Transfer Applications, Accepted by Elsevier Future Generation Computer Systems 2017.

  8. Z. Peng, D. Yu (Corresponding Author), D. Huang, et al., A Hybrid Approach to Estimate the Complex Motions of Clouds in Sky Images, Solar Energy, Volume 138, November 2016.

  9. S. Yao, S. Yoo, D. Yu (Correspondence Author), Prior Knowledge Driven Granger Causality Analysis on Gene Regulatory Network Discovery, http://www.biomedcentral.com/1471-2105/16/273 BMC Bioinformatics Journal,2015, 16:273

  10. Huang, H.; Yoo, S.; Yu, D.; Qin, H., Diverse Power Iteration Embeddings: Theory and Practice, IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 9, 2015.

  11. Z. Peng, D. Yu (Corresponding Author), D. Huang, et al., 3D Cloud Detecting and Tracking System for Solar Forecast Using Multiple Sky Imagers, Solar Energy (2015).

  12. Y. Ren, T. Li, D. Yu, S. Jin, T. Robertazzi, Design, Implementation, and Evaluation of a NUMA-Aware Cache for iSCSI Storage Servers, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 26, no. 2, pp. 413-422, Feb. 2015.

  13. H. Huang, S. Yoo, Dantong Yu and H. Qin, “Density-Aware Clustering based on Aggregated Heat Kernel and Its Transformation”, ACM Trans. on Knowledge Discovery from Data, 2015 (TKDD).

  14. Qishi Wu, Xiangyu Lin, Dantong Yu, Wei Xu, and Li Li, End-to-end Delay Minimization for Scientific Workflows in Clouds under Budget Constraint, IEEE Transactions on Cloud Computing, Special Issue on Autonomic Provisioning of Big Data Applications on Clouds, Volume 3, 2015.

  15. H. Huang, S. Yoo, H. Qin, and D. Yu, Physics-based Anomaly Detection Defined on Manifold Space, ACM Transactions on Knowledge Discovery from Data, 2014 (TKDD), Volume 9, Issue 2, 2014.

  16. Yi Gu, Qishi Wu, Xin Liu, Dantong Yu, Distributed Throughput Optimization for Large-scale Scientific Workflows under Fault-tolerance Constraint, Journal of Grid Computing, 2013.

  17. Y. Ren, T. Li, D. Yu, S. Jin, T.G. Robertazzi, Design and Testbed Evaluation of RDMA based Middleware for High-performance Data Transfer Applications, Journal of Systems and Software, 2013.

  18. J. Xu, S. Yoo, D. Yu, H. Huang, D. Huang, J. Heiser, and P. Kalb, "A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field, to Appear in Advances in Knowledge Discovery and Data Mining, Volume 9077 of the series Lecture Notes in Computer Science, pp 511-524.

  19. J. Gu, D. Katramatos, X. Liu, V. Natarajan, A. Shoshani, A. Sim, Dantong Yu, S. Bradley and S. McKee, “StorNet: Integrated Dynamic Storage and Network Resource Provisioning and Management for Automated Data Transfers”, Journal of Physics: Conf. Ser. vol. 331, 2011, doi: 10.1088/1742-6596/331/1/012002.

  20. X. Liu, C. Qiao, D. Yu and T. Jiang, "Application-Specific Resource Provisioning for Wide-Area Distributed Computing", IEEE Networks, SI on "Future Internet: New Applications and Emerging Services", Volume 24, February, 2010.

  21. M.A. Moges, D. Yu, T.G. Robertazzi, “Grid scheduling divisible loads from two sources”, Computers and Mathematics with Applications, 1081-1092, 58, 2009.

  22. D. Yu and A. Zhang, “ClusterTree: Integration of Cluster Representation and Nearest Neighbor Search for Large Datasets with High Dimensionality”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 15, Number 5, September 2003.

  23. D. Yu, G. Sheikholeslami, and A. Zhang, “FindOut: Finding Outliers in Very Large Datasets”, Knowledge and Information Systems (KAIS), An International Journal, Volume 4, Number 4, pp.387-412, October 2002.

Select Conference Publications

1. Uddin, A, Tao S., Yu D., Attention Based Dynamic Graph Learning Framework for Asset Pricing, CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, November 2021, Queensland, Australia.

2. Yao, S, Yu, D, Jiao, X. Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks, Asian Conference on Machine Learning 2021, ACML 2021.

3. Guan Z, Yager K, Yu D, Qin H. Multi-Label Visual Feature Learning with Attentional Aggregation. IEEE Winter Conference on Applications of Computer Vision; 2020 March; Snowmass Village, CO.

4. Yao S, Yu D, Xiao K. Enhancing Domain Word Embedding via Latent Semantic Imputation. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining; 2019 August; Anchorage, AK, United States. c2019.

5. Guan Z, Qin H, Yager K, Choo Y, Yu D. Automatic X-ray Scattering Image Annotation via Double-View Fourier-Bessel Convolutional Networks. British Machine Vision Conference 2018, BMVC 2018; 2018 September; Newcastle, UK. c2018.

6. P. Sahu, D. Yu, H. Qin, Apply lightweight deep learning on the Internet-Of-Things for low-cost and easy-to-access skin cancer detection in Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, Houston, Texas, United States.

7. Yao, S. and Yu, D., “PhiOpenSSL: Using Xeon Phi Coprocessor for Efficient Cryptography Calculation”, IEEE International Parallel & Distributed Processing Symposium (IPDPS 2017)

8. Wang, B.; Yager, K.G.; Yu, D.; Nguyen, M.H. “X-ray Scattering Image Classification Using Deep Learning” IEEE Winter Conference on Applications of Computer Vision (WACV) 2017.

9. Li, T., Ren. Y., Yu, D., Jin, S., “Resources-conscious Asynchronous High-speed Data Transfer in Multicore Systems: Design, Optimizations, and Evaluation”, the 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2015, acceptance rate: 21.8%).

10. Chang, C., Yao, S., and Yu, D., "Vectorized Big Integer Operations for Cryptosystems on the Intel MIC Architecture," IEEE 22nd International Conf. in High Performance Computing (HiPC), 2015.

11. C., Chang; S. Yao, D. Yu, “sRSA: High Speed RSA on the Intel MIC Architecture,” The 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS),2015.

12. S. Yao, C. Chang, W. Xu, N. Zhou, Y. K. Chen-Wiegart, J. Wang, Jun Wang, and D. Yu, "NNLSF: A Fast and Informative Fitting Method for XANES Chemical Mapping Analysis", Accepted by the International Symposium on Biomedical Imaging (ISBI'15), April, 2015.

13. J. Xu, S. Yoo, D. Yu, H. Huang, D. Huang, J. Heiser, and P. Kalb, "A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field", Accepted by the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015.

14. J. Xu, S. Yoo, D. Yu, D. Huang, J. Heiser, P. Kalb, Solar Irradiance Forecasting using Multi-layer Cloud Tracking and Numerical Weather Prediction, Accepted by the 29th Symposium On Applied Computing (SAC'15), Salamanca, Spain.

15. S. Han, H. Hao, H. Qin, D. Yu, Locality-Preserving L1-Graph and Its Application in Clustering, Accepted by the 29th Symposium On Applied Computing (SAC'15), Salamanca, Spain.

16. Shi, L., Sharma, S., Katramatos, D., and Yu, D., “Optimizing Circuit Allocation for Bandwidth Reservations in Dynamic Virtual Circuit Networks”, 2015 International Conference on Computing, Networking and Communications (ICNC), February/2015 (acceptance rate: unknown).

17. Shi, L., Sharma, S., Katramatos, D., and Yu, D., “Scheduling End-to-End Flexible Resource Reservation Requests for Multiple End Sites”, 2015 International Conference on Computing, Networking and Communications (ICNC), February/2015 (acceptance rate: unknown).

18. Shi, L., Sharma, S., Katramatos, D., and Yu, D., “Virtual Data Center Allocation with Dynamic Clustering in Clouds”, 33rd IEEE International Performance Computing and Communications Conference (IPCCC 2014), December 2014 (acceptance rate: 27.1%).

19. Huang, H., Yoo, S., Yu, D., and Qin, H., “Noise-Resistant Unsupervised Feature Selection via Multi-Perspective Correlations”, regular paper, IEEE International Conference on Data Mining (ICDM), December 2014 (acceptance rate: 9.7%).

20. Huang, H., Yoo, S., Yu, D., and Qin, H., “Diverse Power Iteration Embeddings and Its Applications”, regular paper, IEEE International Conference on Data Mining (ICDM), 2014 (acceptance rate: 9.7%).

21. Han, S., Qin, H., Yu, D, “An Improved Ratio-Based (IRB) Batch Effect Removal Algorithm for Cancer Data in a Co-analysis Framework”, IEEE 14th International Conference on BioInformatics and BioEngineering (BIBE), November 10-12, 2014, Boca Raton, USA (Best Student Paper Award).

22. Z. Peng, S. Yoo, Dantong Yu, D. Huang, P. Kalb, and J. Heiser, 3D Cloud Detection and Tracking for Solar Forecast using Multiple Sky Imagers, the 29th Symposium On Applied Computing (SAC'14) March 24-28, 2014, Gyeongju, Korea.

23. H. Huang, S. Yoo, Dantong Yu, et al., Diffusion-based Clustering Analysis of Coherent X-ray Scattering Patterns of Self-assembled Nanoparticles, the 29th Symposium On Applied Computing (SAC'14) March 24-28, 2014, Gyeongju, Korea.

24. Cheng Chang, Wei Xu, Yu-chen Karen Chen-Wiegart, Jun Wang and Dantong Yu, Accelerating Chemical Mapping in Full-field Hard X-ray Spectroscopic Imaging on Multi-core Cluster, SPIE Visualization and Data Analysis 2014.

25. Y. Ren, T. Li, D. Yu, S. Jin, T.G. Robertazzi, Design and Performance Evaluation of NUMA-aware RDMA-based End-to-end Data Transfer Systems, accepted by ACM/IEEE Super Computing 2013, November/2013, Denver, CO. (acceptance rate: 20%).

26. T. Li, Y. Ren, D. Yu, S. Jin, T.G. Robertazzi, “Characterization of Input/Output Bandwidth Performance Models in NUMA Architecture for Data Intensive Applications”, accepted by International Conference on Parallel Processing (ICPP 2013), Lyon, France.

27. Z. Peng, S. Yoo, D. Yu, and D. Huang, Solar Irradiance Forecast System Based on Geostationary Satellite, IEEE International Conference on Smart Grid Communications, Oct/2013, Vancouver, Canada (acceptance rate: 40%).

28. H. Huang, J. Xu, Z. Peng, S. Yoo, D. Yu, D. Huang, H. Qin, Cloud Motion Estimation for Short Term Solar Irradiation Prediction, IEEE International Conference on Smart Grid Communications, Oct/2013, Vancouver, Canada.

29. Y. Ren, T. Li, D. Yu, S. Jin, T.G. Robertazzi, B. Tierney, E. Pouyoul: Protocols for wide-area data-intensive applications: design and performance issues. ACM/IEEE SuperComputing 2012 (acceptance rate: 21%).

30. H. Huang, H. Qin, S. Yoo, D. Yu: Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space. 21st ACM International Conference on Information and Knowledge Management (CIKM 2012) (acceptance rate: 13%).

31. Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu: A New Anomaly Detection Algorithm Based on Quantum Mechanics, short paper, International Conference on Data Mining (ICDM), 2012 (acceptance rate: 20%).

32. S. Sharma, D. Katramatos, D. Yu, L. Shi: Design and implementation of an intelligent end-to-end network QoS system. ACM/IEEE Supercomputing 2012 (acceptance rate: 21%).

33. Huang, H., Yoo, S., Qin, H., and Yu, D., A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping, IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, December 2011 (acceptance rate: 12.85%).

34. Sushant Sharm, Dimitrios Katramatos, and Dantong Yu, End-to-End Network QoS via Scheduling of Flexible Resource Reservation Requests, SuperComputing 2011, Seattle, WA (acceptance rate: 21%).

35. Yi Gu, Qishi Wu, Xin Liu, Dantong Yu: Improving Throughput and Reliability of Distributed Scientific Workflows for Streaming Data Processing, HPCC 2011 (acceptance rate: 21.7%).

36. H. Xu, D. Yu, D. Xu, and A. Zhang, “SS-ClusterTree: a subspace clustering based indexing algorithm over high-dimensional image features”, Proceedings of the 2008 international conference on Content based image and video retrieval, Niagara Falls, Canada, 2008.

37. D. Katramatos, B. Gibbard, D. Yu, S. Mckee, “The TeraPaths Testbed: Exploring End-to-End Network QoS”, 2007 3rd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom 2007).

38. B. Gibbard, D. Katramatos, D. Yu, and S. Mckee, “TeraPaths: End-to-End Network Path QoS Configuration Using Cross-Domain Reservation Negotiation”, Third International Workship on Networks for Grid Applications (GridNets), October, 2006, San Jose, California, USA.

39. D. Yu and T.G., Robertazzi, “Multi-Source Grid Scheduling for Divisible Loads”, 2006 Conference on Information Sciences and Systems, Princeton University, Princeton NJ, March 2006.

40. M. Moges, D. Yu, and T.G. Robertazzi, “Divisible Load Scheduling with Multiple Sources: Closed Form Solutions”, 2005 Conference on Information Sciences and Systems, The Johns Hopkins University, Baltimore, Maryland, March 2005.

41. M. Moges, D. Yu, and T.G. Robertazzi, “Grid Scheduling Divisible Loads from Multiple Sources via Linear Programming”, Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS 2004), Cambridge, Massachusetts, Nov. 2004.

42. D. Yu and T. G. Robertazzi, “Divisible Load Scheduling for Grid Computing”, the 15th IASTED International Conference on Parallel and Distributed Computing And Systems, November, 2003, Marian Del Rey, CA, USA.

43. H. M. Wong, D. Yu, B. Veeravalli and T. G. Robertazzi, “Data Intensive Grid Scheduling: Multiple Sources with Capacity Constraints”, the 15th IASTED International Conference on Parallel and Distributed Computing And Systems, November, 2003.

44. D. Yu and A. Zhang, “ClusterTree: Integration of Cluster Representation and Nearest Neighbor Search for Image Databases”, IEEE International Conference On Multimedia and Expo (ICME), pp.1713-1716, New York City, New York, USA, August, 2000.

45. Y. Sun, D. Yu, R. Acharya, R. S. Gaborski “Knowledge-based method for fully automatic contour detection in radiographs”, SPIE's International Symposium on Medical Imaging, Vol.1, No.24, pp.256-264, San Diego, California, USA, February, 2000.

46. D. Yu, S. Chatterjee, and A. Zhang, “Efficiently Detecting Arbitrary Shaped Clusters in Image Databases”, Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'99), pp.187-192, Chicago, Illinois, November, 1999.

47. D. Yu and A. Zhang, “ACQ: An Automatic Clustering and Querying Approach for Large Image Databases”, Proceedings of ACM Multimedia 99, part 2, pp.95-98, Orlando, 1999.