1.
Ph.D. Dissertation: “Global Search Methods for Solving
Nonlinear Optimization Problems,”
Dept. of Computer Science, University of Illinois, 1997.
2.
M.S. Thesis: “Novel Genetic Operators for
Combinatorial Optimization Problems,”
Institute of Computing Technology, Chinese
Academy of Sciences, 1991.
1. W. Wang, J. Wang, D. Xu, and Y. Shang, “Two New Heuristic Methods for Protein Model Quality
Assessment,” IEEE/ACM Transactions on Computational Biology and
Bioinformatics, 2018.
2. C. Fang, Y. Shang, and D. Xu, “MUFOLD-SS: New Deep Inception-Inside-Inception
Networks for Protein Secondary Structure Prediction,” Proteins: Structure, Function, and Bioinformatics,
2018.
3. C. Fang, Y. Shang, and D. Xu, “Prediction of Protein Backbone Torsion Angles Using
Deep Residual Inception Neural Networks,” IEEE/ACM Transactions on Computational Biology and
Bioinformatics, 2018.
4. W. Morrison, L. Guerdan, J. Kanugo, T. Trull, and Y.
Shang, “TigerAware: An Innovative Mobile Survey and Sensor
Data Collection and Analytics System,” Proc. IEEE International Conference on Data Science
in Cyberspace, June 2018.
5. Z. Peng, W. Wang, B. Balducci, D. Marinova, and Y.
Shang, “Toward Predicting Communication Effectiveness,” Proc. IEEE International Conference on Data Science
in Cyberspace, June 2018.
6. Y. Liu, P. Sun, M. Highsmith, N. Wergeles, J. Sartwell, M. Mitchell, A. Raedeke, and Y. Shang, “Performance Comparison of Deep Learning Techniques
for Recognizing Birds in Aerial Images,” Proc. IEEE International Conference on Data Science
in Cyberspace, June 2018.
7. A. Cheng, V. Raghavaraju, J. Kanugo, H. Yohanes, and
Y. Shang, “Development and evaluation of a Healthy Coping voice
interface application using the Google Home for elderly patients with Type 2
Diabetes,” Proc. 15th IEEE Annual Consumer Communications
& Networking Conference (CCNC), 2018.
8. S. Nguyen, Z. Li, D. Xu, and Y. Shang, “New Deep Learning Methods for Protein Loop Modeling,” IEEE/ACM Transactions on Computational Biology and
Bioinformatics, 2017.
9. G. Chen, Y. Liu, N. Wergeles, Y. Shang, J. Sartwell, T. Thompson and A. Lewandowski, “Digital Image Vegetation Analysis with Machine
Learning,” International Conference on Robotics and Artificial
Intelligence, Dec. 2017.
10. J. Wang, Z. Li, and Y. Shang, “Deep Neural Networks for Evaluating the Quality of a
Single Protein Model,” Proc. IEEE International Conference on Tools with
Artificial Intelligence, Nov. 2017.
11. Z. Li, S. Nguyen, D. Xu, and Y. Shang, “Protein Loop Modeling Using Deep Generative
Adversarial Networks,” Proc. IEEE International Conference on Tools with
Artificial Intelligence, Nov. 2017.
12. S. Nguyen, Z. Li, and Y. Shang, “Deep Networks and Continuous Distributed
Representation of Protein Sequences for Protein Quality Assessment,” Proc. IEEE International Conference on Tools with
Artificial Intelligence, Nov. 2017.
13. C. Fang, Y. Shang, and D. Xu, “A New Deep Neighbor-Residual Neural Network for
Protein Secondary Structure Prediction,” Proc. IEEE International Conference on Tools with
Artificial Intelligence, Nov. 2017.
14. G. Chen, P. Sun, and Y. Shang, “AFCS – Automatic Fisheries Classification System Using
Deep Learning,” Proc. IEEE International Conference on Tools with
Artificial Intelligence, Nov. 2017.
15. J. Bernstein, B. Mendez, P. Sun, Y. Liu, and Y.
Shang, “Using Deep Learning for Alcohol Consumption
Recognition,” Proc. IEEE Consumer Communications and Networking
Conference, January 2017.
16. P. Sun, N.M. Wergeles, C. Zhang, L.M. Guerdan, T.
Trull, and Y. Shang, “ADA-Automatic Detection of Alcohol Usage for Mobile
Ambulatory Assessment." Proc. IEEE International Conference on Smart
Computing (SMARTCOMP), May, 2016.
17. Wergeles, N.M., Shang, C., Peng, Z., Wang, H., Sartwell, J., Treiman, T.,
Beringer, J., Belant, J.L., Millspaugh, J., McRoberts, J.T. and Shang, Y., “Mobile Data Collection and Analysis in Conservation.” Proc. IEEE International Conference on Smart
Computing (SMARTCOMP), May, 2016.
18. Lander, S.; Yi Shang, “EvoAE -- A New Evolutionary Method for Training Autoencoders for Deep Learning Networks,” Proc. IEEE 39th Annual Computer Software and
Applications Conference (COMPSAC), vol.2, no., pp.790-795, July 2015.
19. Z. Li, J. Adolphe, R.
Miranda, and Y.
Shang, “Towards a System to Find Correlations between
Geographical Twitter Sentiment and Stock Prices,” Proc. IEEE Consumer Communications and Networking
Conference, January 2015.
20. R. Shi, C. Zhang, H. Wang, P. Sun, T. Trull, and Y.
Shang, “mAAS -- A Mobile Ambulatory Assessment System for
Alcohol Craving Studies,” in Computer Software and Applications Conference
(COMPSAC), 2015 IEEE 39th Annual , vol.3, no., pp.282-287, July 2015.
21. J. Yang, Y. Xu, Y. Shang, and G. Chen, “A Space-Bounded Anytime Algorithm for the Multiple
Longest Common Subsequence Problem”, IEEE Transactions on Knowledge and Data
Engineering, PP(99), Feb. 4, 2014.
22. S.
Nguyen, Y. Shang, and D. Xu, “DL-Pro:
A Novel Deep Learning Method for Protein Model Quality Assessment,” IEEE
International Joint Conference on Neural Networks, July 2014.
23. D.
Wang and Y. Shang, “A
New Active Labeling Method for Deep Learning,” IEEE
International Joint Conference on Neural Networks, July 2014.
24. Y.
Chen, Y. Shang, and D. Xu, “Multi-Dimensional
Scaling and MODELLER-Based Evolutionary Algorithms for Protein Model
Refinement,”
IEEE Congress on Evolutionary Computation, July 2014.
25. Z.
Ye, X. Su, L. Wu, and Y. Shang, “Optimal
Stochastic Media Storage in Federated Cloud Environments,”
Proc. IEEE Consumer Communications and
Networking Conference, January 2014.
26. Q. Wang, C. Shang, D. Xu, and Y. Shang, “New MDS and Clustering Based Algorithms for Protein
Model Quality Assessment and Selection,” Int’l Journal on Artificial Intelligence Tools, 22(5),
2013.
27. D. Wang and Y. Shang, “Modeling Physiological Data with Deep Belief
Networks”, Int’l Journal of Information and Education Technology,
3(5):505-511, Oct. 2013.
28. T. Zhuang, P. Baskett, and
Y. Shang, “Managing Ad Hoc Networks of Smartphones,” Int’l Journal of Information and Education Technology,
3(5):540-546, Oct. 2013.
29. Y. Xu, J. Yang, Y. Zhao, and Y. Shang, “An Improved Voting Algorithms For
Planted (l, d) Motif Search,” Information Sciences, 237, pp. 305-312, July 2013.
30. J. Yang, Y. Xu, G. Sun, and Y. Shang. "A new
progressive algorithm for multiple longest common subsequences problem and its
efficient parallelization". IEEE Trans. on Parallel and Distributed
Systems, 24(5), pp. 862-870, May 2013.
31. Y.
Wang, L. Rui, W. Shi, D.K. Ho, and
Y. Shang, “Localization
of An Acoustic Source Using Smart Phones,”
Proc. IEEE Consumer Communications and Networking Conference, pp. 761-764,
January 2013.
32. M.
Van Devender and Y. Shang, “Wake
IQ: Using a Smartphone to Reduce Sleep Inertia,”
Proc. IEEE Consumer Communications and Networking Conference, pp. 649-652,
January 2013.
33. P.
Baskett, B. Guttersohn, Y.
Shang, and W. Zeng, “SDNAN:
Software-Defined Networking in Ad hoc Networks of Smartphones,”
Proc. IEEE Consumer Communications and Networking Conference, pp. 861-862,
January 2013.
34. P.
Baskett, M. Patterson, Y. Shang, and T. Trull, “Towards
A System for Body-Area Sensing and Detection of Alcohol Craving and Mood
Dysregulation,”
Proc. IEEE Consumer Communications and Networking Conference, pp. 875-876,
January 2013.
35. J. Zhang, Z. He, Q. Wang, B. Barz,
I. Kosztin, Y. Shang, and D. Xu, “Prediction of protein tertiary structures using
MUFOLD,” Methods in Molecular Biology. 815:3-13, 2012.
36. Z. He, J. Zhang, Y. Xu, Y. Shang, and D. Xu, “Protein model selection based on sequence-dependent
scoring function,” Journal Statistics and Its Interface, 5(1), pp.
109-116, 2012.
37. X.
Su, B. Schlinker, Y. Shang, and Z. Ye, “Optimal
Media Storage in Federated Cloud Environments,”
Proc. ICC’12,
WS-CloudNetsDataCenters, 2012.
38. Qia Wang,
Alex Lobzhanidze, Hyun I. Jang, Wenjun Zeng and Yi
Shang, “Video
based Real-world remote target tracking on smartphones,”
Proc. IEEE International Conference on Multimedia and Expo, pp.693-698,
Melbourne, Australia, July, 2012.
39. Q.
Wang, A. Lobzhanidze, H. Jang, W. Zeng, Y. Shang, and
J. Yang, “Image
and video-based remote target localization and tracking on smartphones,” SPIE
Geospatial InfoFusion conference, SPIE Defense,
Security, and Sensing Symposium, April 2012, Baltimore, MD.
40. Y.
Shang, W. Zeng, D.K. Ho, D. Wang, Q. Wang, Y. Wang, T. Zhuang, A. Lobzhanidze, and L. Rui, “Nest:
NEtworked Smartphones for Target localization,”
Proc. IEEE Consumer Communications and Networking Conference, pp. 732-736.
January 2012.
41. Q. Wang, K. Vantasin, D.
Xu, and Y. Shang, “MUFOLD-WQA: A New Selective Consensus Method for
Quality Assessment in Protein Structure Prediction,” Proteins, 79(S10), pp. 185-195, 2011.
42. J. Zhang, Q. Wang, K. Vantasin,
J. Zhang, Z. He, I. Kosztin, Y. Shang, and D. Xu, “A multi-layer evaluation approach for protein
structure prediction and model quality assessment,” Proteins, 79(S10), pp. 172-184, 2011.
43. Q. Qi and Y. Shang, “Comparison of Probabilistic Chain Graphical
Model-Based and Gaussian Process-Based Observation Selections for Wireless Sensor
Scheduling,” International Journal of Distributed Sensor
Networks, Article ID 928958, 2011.
44. Q. Wang, Y. Shang, and D. Xu, “Improving Consensus Approach for Protein Structure
Selection by Removing Redundancy,” IEEE/ACM
Transactions on Computational Biology and Bioinformatics, 8(6), pp. 1708-1715,
2011.
45. X. Shi, J. Zhang, Z. He, Y. Shang, and D. Xu. “A sampling-based method for ranking protein
structural models by integrating multiple scores and features.” Current Protein and Peptide Science, 12(6):540-548,
September 2011.
46. Q. Wang, D. Korkin, and Y. Shang, “A Fast Multiple Longest Common Subsequence (MLCS)
Algorithm,” IEEE Transactions on Knowledge and Data
Engineering, 23(3), pp. 321-334, March 2011.
47. B. Yin, H. Shi, and Y. Shang, “An Efficient Algorithm for Constructing Connected
Dominating Set in Mobile Ad Hoc Networks,” Journal of Parallel and Distributed Computing,
71(1), pp. 27-39, January 2011.
48. K.
Ramlakhan and Y. Shang, “A
Mobile Automated Skin Lesion Classification System,”
Proc. 23th IEEE Int’l
Conf. on Tools with Artificial Intelligence, Nov. 2011.
49. Q.
Wang, Y. Shang, and D. Xu, “A
Hybrid Consensus and Clustering Method for Protein Structure Selection,”
Proc. 23th IEEE Int’l
Conf. on Tools with Artificial Intelligence, Nov. 2011.
50. Q.
Wang, A. Lobzhanidze, S. D. Roy, W. Zeng and Y.
Shang, “PositionIt
– An
Image-based Remote Target Localization System on Smartphones,”
Proc. ACM Multimedia, Nov. 2011.
51. J. Zhang, Z. He, Q. Wang, B. Barz,
I. Kosztin, Y. Shang, and D. Xu, “Prediction of protein tertiary structures using
MUFOLD,” in Functional Genomics, 2nd edition. Ed: M.
Kaufmann and C. Klinger. Springer, 2011.
52. J. Zhang, Q. Wang, B. Barz,
Z. He, I. Kosztin, Y. Shang, D. Xu, “MUFOLD: A New Solution for Protein 3D Structure
Prediction.” Proteins, 78(5), pp. 1137-1152, Wiley, 2010.
53. H. Shi, X. Li, Y. Shang, and D. Ma, “Error Analysis of Quantized RSSI Based Sensor
Network Localization,” International Journal of Wireless and Mobile
Computing, 4(1), pp. 31-40, 2010.
54. B. Yin, H. Shi, and Y. Shang, “A Two-Level Topology Control Strategy for Energy
Efficiency in Wireless Sensor Networks,” International Journal of Wireless and Mobile
Computing, 4(1), pp. 41-49, 2010.
55. Q.
Qi and Y. Shang, “Comparing
Probabilistic Graphical Model Based and Gaussian Process Based Selections for
Temporal Prediction.” Proc. ANNIE 2010, St. Louis, MO, Nov.
2010.
56. D.
Wang, P. Zhuang, and Y. Shang, “A
New Framework for Multi-Source Geo-Social Based Mobile Classifieds Searches.”
Proc. ANNIE 2010, St. Louis, MO, Nov. 2010.
57. Q.
Qi, Y. Shang and H. Shi, “An
Improved Algorithm for Optimal Subset Selection in Chain Graphical Models.”
Proc. IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 2010.
58. P.
Zhuang, D. Wang, and Y. Shang, “SMART:
Simultaneous Indoor Localization and Map Construction Using Smartphones.”
Proc. International Joint Conference on Neural Networks (IJCNN), Barcelona,
Spain, July 2010.
59. Q.
Wang, Y. Shang, and D. Xu, “Protein
Structure Selection Based on Consensus.”
Proc. IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 2010.
60. Qingguo
Wang, Mian Pan, Yi Shang, Dmitry Korkin,
“A
Fast Heuristic Search Algorithm for Finding the Longest Common Subsequence of
Multiple Strings.”
Proc. Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10),
Atlanta, Georgia, July 2010.
61. J.
Yang, Y. Xu, and Y. Shang, “An
Efficient Parallel Algorithm for Longest Common Subsequence Problem on GPUs.”
World Congress on Engineering, London, UK, June 2010.
62. Barz, Q.
Wang, J. Zhang, Z. He, D. Xu, Y. Shang, I. Kosztin, “Selection
of Near-Native Protein Structures by Means of Molecular Dynamics Simulations.”
Biophysical Society Meeting, 2010.
63. Y. Liu, H. Shi, and Y. Shang, “Design of Learning Objects to Support Constructivist
Learning Environments.” IEEE Learning Technology Newsletter, 11(4), Oct. 2009.
64. B. Yin, H. Shi, and Y. Shang, “A Two-Level Topology Control Strategy for Energy
Efficiency in Wireless Sensor Networks,'' International
Journal of Wireless and Mobile Computing, 2009.
65. Yi
Shang, H. Shi, Y. Zhang, C. Guettier, “Distributed
systems of sensors and actuators.” Wireless
Communications and Mobile Computing,
9(3), 2009.
66. M.
Tubaishat, P. Zhuang, Q. Qi, and Y. Shang, “Wireless
Sensor Networks in Intelligent Transportation Systems.” Wireless
Communications and Mobile Computing, 9(3), pp. 287-302, March 2009.
67. P. Zhuang, Y. Shang, and B. Hua, “Statistical
methods to estimate vehicle count using traffic cameras,”
Multidimensional
Systems and Signal Processing,
Springer, Vol 20(2), 2009.
68. P.
Zhuang, D. Wang, and Y. Shang, “Distributed
Faulty Sensor Detection.”
Proc. IEEE Globecom, Dec. 2009.
69. P.
Zhuang and Y. Shang. “Vehicle
Localization from Wireless Traffic Sensors.”
Mobile Entity Localization and Tracking in GPS-less Environnments
Workshop (MELT), Sept. 2009.
70. P.
Zhuang, D. Wang, and Y. Shang, “Distributed
Distribution-based Optimization for Sensor Fault Detection.” IEEE
52nd MWSCAS, Aug, 2009.
71. Q.
Wang, D. Korkin, and Y. Shang, "Efficient
Dominant Point Algorithms for the Multiple Longest Common Subsequence (MLCS)
Problem", 21st International Joint Conference on Artificial Intelligence
(IJCAI-09), pp. 1494-1500, July 2009.
72. P. Zhuang and Y. Shang, “Localize Vehicles Using Wireless Traffic Sensors.” Lecture Notes in
Computer Science, 5801, pp.
106-114, Springer, 2009.
73. Ahmed, X. Li, Y. Shang, and H. Shi, “MDS-Based Localization,” in Localization
Algorithms and Strategies for Wireless Sensor Networks, Ed: G. Mao and B. Fidan. IGI Global, 2009.
74. Y. Shang, Q. Wang, J. Zhang, B. Barz,
I. Kosztin, and D. Xu, “A New Computational Intelligent Approach to Protein
Tertiary Structure Prediction,” in Computational
Intelligence and Its Applications. Ed: X. Yao, X. Li, and D. Tao.
University of Science and Technology of China Press, 2009. ISBN
978-7-312-02218-0.
75. X.
Li, B. Hua, Y. Shang, Y. Xiong, “A
robust localization algorithm in wireless sensor networks.”
Frontiers
of Computer Science in China,
2(4), pp. 438-450, 2008.
76. P.
Zhuang and Y. Shang, “Cobra:
Correlation-based content authentication in wireless sensor networks,”
Proc. IEEE Globecom, New Orleans, Dec. 2008.
77. X.
Li, B. Hua, Y. Shang, Y. Guo, and L. Yue, “Bilateration:
An attack-resistant localization of Wireless Sensor Network", Proc. IFIP International
Conference on Embedded and Ubiquitous Computing, pp. 321-332, Dec. 2008.
78. Korkin, Q.
Wang, and Y. Shang, “An
Efficient Parallel Algorithm for the Multiple Longest Common Subsequence
Problem,”
Proc. 37th Int’l
Conf. on Parallel Processing, pp. 354 –
363, Portland, OR, Sept. 2008.
79. Almosallam
and Y. Shang, “A
New Adaptive Framework for Collaborative Filtering Prediction,”
Proc. IEEE Congress on Evolutionary Computation, pp. 2725 –
2733, Hong Kong, June 2008.
80. Q.
Wang, Y. Shang, and D. Xu, “A
New Clustering-based Method for Protein Structure Selection,” in
Proc. IEEE Int’l
Joint Conf. on Neural Networks, pp. 2891 –
2898, Hong Kong, June 2008.
81. Ahmed,
H. Shi, and Y. Shang, “Adaptive
Localization in Wireless Sensor Networks: An Experimental Study,” Proc.
21st International Conference on Parallel and Distributed Computing and
Communication Systems (PDCCS-2008)}, New Orleans, May 2008.
82. X.
Li, H. Shi, and Y. Shang, ``Selective Anchor Placement Algorithm for Ad-hoc
Wireless Sensor Networks,'' Proc. IEEE International Conference on
Communications (ICC 2008), Beijing, China, May 2008.
83. P.
Zhuang, Q. Qi, Y. Shang, and H. Shi, “Model-Based
Traffic Prediction Using Sensor Networks,”
Proc. IEEE Consumer Communications and Networking Conference, Las Vegas, NV,
January 2008.
84. M.
Tubaishat, Q. Qi, Y. Shang, and H. Shi, “Wireless
Sensor-Based Traffic Light Control,”
Proc. IEEE Consumer Communications and Networking Conference, Las Vegas, NV,
January 2008.
85. P. Zhuang, Y. Shang, and
H. Shi, “A New Method of Using Sensor Networks for
Pursuit-Evasion Problems,” Journal
of Networks, 2(1):9-16,
February 2007.
86. S. Selvakennedy,
S. Sinnappan, and Y. Shang, “A
Biologically-inspired Clustering Protocol for Wireless Sensor Networks,” Computer
Communications,
Vol. 30, June 2007.
87. Y. Shang and
H. Shi, “Flexible Energy Efficient Density
Control on Wireless Sensor Networks,” Int’l Journal of Distributed Sensor Networks, 3:5-21, 2007.
88. X.
Li, A. Ahmed, H. Shi, and Y. Shang, ``A Systematic Evaluation of RangeQ-based Localization Algorithms in Wireless Sensor
Networks,'' Proc. 6th WSEAS International Conference on Circuits, Systems,
Electronics, Control, and Signal Processing (CSECS'07), pages 119-124, Cairo,
Egypt, December 2007.
89. Y.
Shang, R. Bondugula, D. Xu, and Q. Wang. “A New
Method for Protein Tertiary Structure Prediction,”
Proc. IASTED Int’l
Conf. on Computational Intelligence, Banff, Canada, July, 2007.
90. Yin,
H. Shi, Y. Shang, and D. Ma. “Adaptive
Clustering and Transmission Range Adjustment in Wireless Sensor Networks,” Proc.
IASTED Int’l
Conf. on Communications, Internet, and Information Technology, Banff, Canada,
July, 2007.
91. P.
Zhuang, Q. Wang, Y. Shang, H. Shi, and B. Hua. “Wireless
Sensor Network Aided Search and Rescue in Trails,”
Proc. Int’l
Conference on Scalable Information Systems, Suzhou, China, June. 2007.
92. Yin,
H. Shi, and Y. Shang, “Analysis
of Energy Consumption in Clustered Wireless Sensor Networks,”
Proc. IEEE Int’l
Symposium on Wireless Pervasive Computing, San Juan, Puerto Rico, Feb. 2007.
93. P.
Zhuang, Q. Wang, Y. Shang, and H. Shi, “Minimizing
Location Uncertainty in Access Points Deployment,”
Proc. IEEE Int’l
Symposium on Wireless Pervasive Computing, San Juan, Puerto Rico, Feb. 2007.
94. Ahmed,
H. Shi, and Y. Shang, “Map-based
Adaptive Positioning in Wireless Sensor Networks,”
Proc. IEEE Int’l
Symposium on Wireless Pervasive Computing, San Juan, Puerto Rico, Feb. 2007.
95. Yin,
H. Shi, and Y. Shang, “An
Efficient Algorithm for Constructing Connected Dominating Set in Ad Hoc
Networks,”
Proc. IEEE Consumer Communications and Networking Conference, Las Vegas, NV,
January 2007.
96. M.
Tubaishat, Y. Shang, and H. Shi, “Adaptive
Traffic Light Control with Wireless Sensor Networks,”
Proc. IEEE Consumer Communications and Networking Conference, Las Vegas, NV,
January 2007.
97. Q.
Wang and Y. Shang, “Optimal
Access Point Placement for Target Localization along Trails,”
Proc. IEEE Consumer Communications and Networking Conference, Las Vegas, NV,
January 2007.
98. Y. Shang, M.
Fromherz, and L. Crawford, “A new
constraint test-case generator and the importance of hybrid optimizers,” European
Journal of Operational Research, Elsevier Science, vol. 173, pp. 419-443,
2006.
99. H. Shi, Y. Shi, and Y. Shang, “A ProFound-based Meta
Search Engine for Rapid Protein Identification,” Information, Japan, Vol. 9, No. 6, pp. 891-900, 2006.
100.
S. Selvakennedy, Sukunesan Sinnappan and Yi Shang, “T-ANT: A Nature-Inspired Data Gathering Protocol for
Wireless Sensor Networks,” Journal
of Communications,
Vol. 1, No. 2, pp. 22-29, May 2006.
101.
A. Ahmed, Y. Shang,
H. Shi, and B. Hua, “Variants
of MDS-Based Methods for Ad Hoc Network Localization,”
Journal
of Interconnection Networks, World Scientific, Vol.
7, No. 1, pp. 5-19, 2006.
102.
Y. Shang,
W. Ruml, and M.
Fromherz, “Positioning Using Local Maps,” Ad Hoc
Networks Journal, Elsevier, Vol. 4, pp. 240-253, 2006.
103.
R. Bondugula, D.
Xu, and Y. Shang. “A
Fast Algorithm for Low-Resolution Protein Structure Prediction”,
Proc. Int’l
Conf. of the Engineering in Medicine and Biology Society, New York City, New
York, USA, August-Sept, 2006.
104.
P. Zhuang, Y. Shang, and H. Shi, “Sensor
Network Assisted Collaboration for Pursuit-Evasion Problem,”
Proc. IEEE Int’l
Conf. on Pervasive Services, Lyon, France, June 2006.
105.
Ahmed, Y. Shang, and H. Shi, “A New
Hybrid Wireless Sensor Network Localization System,”
Proc. IEEE Int’l
Conf. on Pervasive Services, Lyon, France, June 2006.
106.
S. Selvakennedy,
S. Sinnappan, and Y. Shang, “Data
Dissemination Based on Ant Swarms for Wireless Sensor Networks,”
Proc. IEEE Consumer Communications and Networking Conference, Las Vegas, NV,
January 2006.
107.
H. Shi, H. Liu, Y. Shang, and S. Chen, “Student
Modeling in E-Learning Environments,” Int’l Journal on Education and Information
Technologies, Springer Science, 2(1), pp. 1-20, Sept.
2005.
108.
H. Shi, C. S. Cummngs,
Y. Shang, and S. Chen, “A Flexible
Authentication and Authorization Scheme for A Learner Information Management
Web Service,” International
Journal of Information Technology and Decision Making, World
Scientific, vol. 4, No. 2, June 2005.
109.
Ahmed, H. Shi, and Y. Shang, “Adaptive
Localization in Wireless Sensor Networks,” 2nd
IEEE Int’l
Workshop on Adaptive Wireless Networks of the IEEE Globecom
2005, St. Louis, MO, Dec, 2005.
110.
Yin, H. Shi, and Y. Shang, “An Efficient
Single-Phase Distributed Algorithm for Constructing Connected Dominating Set in
Ad Hoc Networks,”
2nd IEEE Int’l
Workshop on Adaptive Wireless Networks of the IEEE Globecom
2005, St. Louis, MO, Dec, 2005.
111.
P. Zhuang, Y. Shang, and H. Shi, “A New
Distributed Planning Method for Pursuit-Evasion Game Using Sensor Networks,” 2nd
IEEE Int’l
Workshop on Adaptive Wireless Networks of the IEEE Globecom
2005, St. Louis, MO, Dec, 2005.
112.
H. Shi, X. Li, Y. Shang, and D. Ma, “Cramer-Rao
Bound Analysis of Quantized RSSI Based Localization in Wireless Sensor
Networks,”
Proc. IEEE/IFIP Int’l
Workshop on Parallel and Distributed Embedded Systems (PDES-05), Fukuoka,
Japan, July 2005.
113.
Yin, H. Shi, and Y. Shang, “A
Two-level Strategy for Topology Control in Wireless Sensor Networks,”
Proc. 1st IEEE Inte’l
Workshop on Heterogeneous Wireless Sensor Networks (HWISE 2005), Fukuoka,
Japan, July 2005.
114.
Y. Shang and H. Shi, “Coverage
and Energy Tradeoff in Density Control on Sensor Networks,”
Proc. 11th IEEE Int’l
Conf. Parallel and Distributed Systems (ICPADS 2005), Fukuoka, Japan, July
2005.
115.
Ahmed, Y. Shang, and H. Shi, “Variants
of Multidimensional Scaling for Node Localization,”
Proc. 11th IEEE Int’l
Conf. Parallel and Distributed Systems (ICPADS 2005), Fukuoka, Japan, July 2005.
116.
X. Li, H. Shi, and Y. Shang, ``A Sorted RSSI
Quantization Based Algorithm for Sensor Network Localization,”
Proc. 11th IEEE Int’l
Conf. Parallel and Distributed Systems (ICPADS 2005), Fukuoka, Japan, July
2005.
117.
Ahmed, H. Shi, and Y. Shang, “SHARP:
A New Approach to Relative Localization in Wireless Sensor Networks,”
Proc. 2nd IEEE International Workshop on Wireless Ad Hoc Networking (WWAN
2005), Columbus, OH, June 2005.
118.
Y. Shang,
W. Ruml, M.
Fromherz, and Y. Zhang, “Localization from Connectivity in Sensor
Networks,” IEEE
Trans. Parallel and Distributed Systems, vol.
15, no. 11, pp. 961-974, Nov. 2004.
119.
H. Shi, O. Rodriguez, S. Chen, and Y. Shang,
“Open
Learning Objects as an Intelligent Way of Organizing Educational Material,”
International
Journal on E-Learning, 3(2):47-59, April-June 2004.
120.
Y. Shang, J. Shen, and H. Shi, “A New
Density Control Algorithm for Sensor Networks,” 1st
IEEE Int’l
Workshop on Embedded Networked Sensors, Nov. 2004.
121.
X. Li, H. Shi, and Y. Shang, “A
Partial-Range-Aware Localization Algorithm for Ad Hoc Wireless Sensor Networks,” 29th
Annual IEEE Int’l
Conf. on Local Computer Networks, Nov. 2004.
122.
Y. Shang, H. Shi, and A. A. Ahmed, “Performance
Study of Localization Methods in Ad Hoc Sensor Networks,” 1st
IEEE Int’l
Conf. on Mobile Ad-hoc and Sensor Systems, Oct. 2004.
123.
X. Li, H. Shi, and Y. Shang, “A
Map-Growing Localization Algorithm for Ad Hoc Wireless Sensor Networks,” IEEE
Int’l
Conf. on Parallel and Distributed Systems (ICPADS), July 2004.
124.
H. Liu, H. Shi, Y. Shang, and S. Chen, “Student
Modeling with Timed Assessment Information,” IEEE
Int’l
Conf. on Information Technology: Research and Education, London, England, June
2004.
125.
X. Su, Yi Shang, and Y. Mai, “Delay-Sensitive
Delivery of Scalable Coded Images Over Peer-to-Peer Networks,” IEEE
Int’l
Conf. on Multimedia and Expo (ICME), Taipei, Taiwan, June 2004.
126.
X. Su and Y. Shang, “Error
Concealment of Transform Coded Images with Continuous QoS,” IEEE
Int’l
Conf. on Information Technology: Coding & Computing (ITCC), Las Vegas, NV, April 2004.
127.
Y. Shang, J. Meng,
and H. Shi, “Relative
Localization in Wireless Sensor Networks,” IEEE
Int’l
Parallel and Distributed Processing Symposium (IPDPS), April 2004.
128.
Y. Shang and W. Ruml,
“Improved
MDS-Based Localization,”
IEEE Infocom, Hong Kong, March 2004.
129.
Y. Shang,
“Expert
Systems”
in Electrical Engineering Handbook, Ed: Wai-Kai Chen, Elsevier Academic
Press, 2004.
130.
Y. Shang
and M. Fromherz, “Experimental Complexity Analysis of
Continuous Constraint Satisfaction Problems,” Information Sciences, Elsevier Science, No.
153, pp. 1-36, 2003.
131.
Y. Shang, W. Ruml,
M. Fromherz,
and Y. Zhang, “Localization
from mere connectivity,”
4th ACM Int’l
Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc),
pp. 201-212, Annapolis, Maryland, June 2003.
132.
Y. Shang, M. Fromherz,
Y. Zhang, and L. Crawford, “Constraint-based
routing for ad-hoc networks,”
IEEE Int’l
Conf. on Information Technology: Research and Education (ITRE), pp. 306-310,
Newark, NJ, August 2003.
133.
Ahmed, H. Shi, and Yi Shang, “A
Survey on Routing Protocols for Wireless Sensor Networks,” IEEE
Int’l
Conf. on Information Technology: Research and Education (ITRE), pp. 301-305,
Newark, NJ, August 2003.
134.
H. Liu, H. Shi, Y. Shang, and S. Chen, “SAM:
A Student Assessment and Modeling System,” Int’l
Conf. on Artificial Intelligence (IC-AI’03),
Las Vegas, Nevada, June, 2003.
135.
L. Li, Y. Shang, W. Zhang, and H. Shi, “A
General Method for Statistical Performance Evaluation,”
Hawaii Int'l Conference on System Sciences (HICSS-36), Hawaii, Jan. 2003.
136.
Y. Shang
and L. Li, “Precision
Evaluation of Search Engines,” World
Wide Web, Kluwer Academic, Vol. 5, No. 2, pp.
159-173, 2002.
137.
L. Li, Y. Shang, W. Zhang, and H. Shi, “Fuzzy
Logic for Search Engine Ranking,”
12th Int'l Conference on Artificial Neural Networks In Engineering (ANNIE
2002), St. Louis, MO, Nov. 2002.
138.
L. Li, Y. Shang, H. Shi, and W. Zhang, “Performance
Evaluation of HITS-based Algorithms,”
Proc. IASTED Int’l
Conf. on Communications, Internet, and Information Technology (CIIT 2002), St.
Thomas, Virgin Islands, Nov. 2002.
139.
Y. Shang, M. Fromherz,
and Y. Zhang, “Developing
Efficient Cooperative Solvers for Constrained Optimization,”
Workshop on Cooperative Solvers in Constraint Programming, 8th Int’l
Conf. on Principles and Practice of Constraint Programming (CP’02),
Ithaca, Sep. 2002.
140.
Y. Zhang, M. Fromherz,
L. Crawford, and Y. Shang, “A
General Constraint-based Control Framework with Examples in Modular Self-reconfigurable
Robots,”
IEEE/RSJ Conf. on Intelligent Robots and Systems (IROS 2002), Lausanne,
Switzerland, Sep. 2002
141.
Y. Shang, M. Fromherz, and
L. Crawford, “An
Efficient Cooperative Solver for Nonlinear Continuous Constraint Problems,” Int’l
Congress of Mathematical Software (ICMS’02),
Beijing, China, August 2002.
142.
Y. Shang, M. Fromherz,
and L. Crawford, “Solving
Nonlinear Continuous Constraint Problems,” Int’l
Congress of Mathematicians (ICM'02), Short Communication, Beijing, China,
August 2002.
143.
Rodriguez, S. Chen, H. Shi, and Y. Shang, “Open
Learning Objects: the case for inner metadata,” 11th
Int'l World Wide Web Conference (WWW2002)), May 2002.
144.
L. Li, Y. Shang, and W. Zhang, “Improvement
of HITS-based Algorithms on Web Documents,” 11th
Int'l World Wide Web Conference (WWW2002), May 2002.
145.
M. Fromherz, L.
Crawford, C. Guettier, and Y. Shang, “Distributed
Adaptive Constrained Optimization for Smart Matter Systems,” 2002
AAAI Spring Symposium on Intelligent Embedded and Distributed Systems, March
2002.
146.
H. Shi, O. Rodriguez, Y. Shang, and S. Chen, “Integrating
Adaptive and Intelligent Techniques into a Web-based Environment for Active
Learning”,
in Intelligent Systems: Techniques and Applications, Ed: C. T. Leondes, CRC Press/Lewis Publishers, Vol. 4, Chap. 10, pp.
229-260, 2002.
147.
Y. Shang, H. Shi, and S. Chen, “An Intelligent Distributed Environment for
Active Learning,” ACM Journal on Educational Resources in
Computing, Vol. 1, No. 2, pp. 1-17, summer, 2001.
148.
Y. Shang,
L. Li, and B. Wah, “Optimization
Design of Biorthogonal Filter Banks for Image Compression,”
Information Sciences,
Elsevier Science, No. 132, pp. 23-51, 2001.
149.
L. Crawford, M. Fromherz,
C. Guettier, and Y. Shang, “A
Framework for On-line Adaptive Control of Problem Solving,”
Workshop on On-line Combinatorial Problem Solving and Constraint Programming,
7th Int’l
Conf. on Principles and Practice of Constraint Programming (CP’01), Paphos, Cyprus, 2001.
150.
Y. Shang, Y. Wan, M. P.J. Fromherz, and L. Crawford, “Combining
Global and Local Search in Solving Continuous Constraint Problems,”
Workshop on Cooperative Solvers in Constraint Programming, 7th Int’l
Conf. on Principles and Practice of Constraint Programming (CP’01), Paphos, Cyprus, 2001.
151.
Y. Shang, M. Fromherz,
T. Hogg, and W. Jackson, “Complexity
of Continuous, 3-SAT-like Constraint Satisfaction Problems,”
IJCAI-01 Workshop on Stochastic Search Algorithms, pp. 49-54, Seattle, WA,
2001.
152.
M. P. J. Fromherz,
T. Hogg, Y. Shang, and W. B. Jackson, “Modular
Robot Control and Continuous Constraint Satisfaction,”
IJCAI-01 Workshop on Modeling and Solving Problems with Constraints, pp. 47-56,
Seattle, WA, 2001.
153.
H. Shi, Y. Shang, and F. Ren, “Using
Natural Language to Access Databases on the Web,” IEEE
Int’l
Workshop on Natural Language processing and Knowledge Engineering (NLPKE 2001)
in conjunction with the IEEE SMC' 2001, Tucson, Arizona, 2001.
154.
S. Chen, O. Rodriguez, C. Choo, Y. Shang,
and H. Shi, “Personalizing
Digital Libraries for Learners," 12th Int’l
Conf. On Database and Expert Systems Applications (DEXA'2001), Munich, Germany,
2001.
155.
Y. Shang, H. Shi, and S. Chen, “An
Intelligent Distributed Environment for Active Learning,”
Proc. 10th Int'l World Wide Web Conference (WWW10), Hong Kong, May 2001.
156.
L. Li and Y. Shang, “Approximate
ranking of Web Searching Engines,”
Proc. 10th Int'l World Wide Web Conference (WWW10), Hong Kong, May 2001.
157.
H. Shi, Y. Shang, and S. Chen, “Smart
Instructional Component Based Course Content Organization and Delivery,”
Proc. 6th Annual Conf. on Innovation and Technology in Computer Science
Education, ITiCSE 2001, Canterbury, UK, June, 2001.
158.
Y. Shang
and L. Li, “A
New Method for Automatic Performance Comparison of Search Engines,”
World Wide Web,
Kluwer Academic, Vol. 3, No. 4, pp. 241-247, Dec. 2000.
159.
Y. Shang,
C. Sapp, and H. Shi, “An
Intelligent Web Representative,” Information,
Vol. 3, No. 2, International Information Institute, Japan, 2000.
160.
B. W. Wah, T.
Wang, Y. Shang, and Z. Wu, “Improving
the Performance of Weighted Lagrange-Multiplier Methods for Constrained
Nonlinear Optimization,” Information
Sciences, Elsevier, Vol. 124, No. 1-4, pp. 241-272,
2000.
161.
H. Shi, Y. Shang, and S. Chen, “TIGERMU:
a Tightly Integrated General Environment for Resource Management and
Utilization,”
(Invited paper), Proc. 1st Int'l Conf. on Information (Information'2000), pp.
17-24, Fukuoka, Japan, October 2000.
162.
L. Li and Y. Shang, “A New
Statistical Method for Evaluating Search Engines,”
Proc. IEEE 12th Int'l Conf. on Tools with Artificial Intelligence, pp. 208-215,
Vancouver, British Columbia, Canada, 2000.
163.
Y. Shang, L. Li, and K. C. Ho, “Optimization
Design of Filter Banks For Wavelet Denoising,”
Proc. 5th Int'l Conf. on Signal Processing (ICSP), IFIP 16th World Computer
Congress, Beijing, China, August 2000.
164.
Y. Shang and H. Shi, “IDEAL:
An Integrated Distributed Environment for Asynchronous Learning,”
Proc. ACM Workshop on Distributed Communities on the Web, Lecture Notes in
Computer Science, Vol. 1830, pp. 182-191, 2000.
165.
H. Shi, Y. Shang, M. Jurczyk,
and A. Joshi, “Laboratory-Oriented
Teaching in Web and Distributed Computing,”
Proc. ASEE's 2000 Annual Conference, St. Louis, June, 2000.
166.
Y. Shang, H. Shi, and S. Chen, “Agent
Technology in Computer Science and Engineering Curriculum,”
Proc. 5th Annual Conf. on Innovation and Technology in Computer Science
Education, ITiCSE 2000, Helsinki, Finland, pp.
120-123, July, 2000.
167.
H. Shi, Y. Shang, and S. Chen, “A
Multi-Agent System for Computer Science Education,”
Proc. 5th Annual Conf. on Innovation and Technology in Computer Science
Education, ITiCSE 2000, Helsinki, Finland, pp. 1-4,
July, 2000.
168.
M. Popescu and Y.
Shang, “An
Agent Framework for Automated Radiology Test,”
Proc. Parallel and Distributed Methods for Image Processing, SPIE Int'l
Symposium on Optical Science, Engineering and Instrumentation, July 2000.
169.
Y. Shang
and H. Shi, “A
Web-Based Multi-Agent System for Interpreting Medical Images,”
World Wide Web,
Kluwer Academic, Vol. 2, No. 4, pp. 209-218, 1999.
170.
B. W. Wah, Y. Shang, and Z. Wu, “Discrete
Lagrangian Method for Optimizing the Design of Multiplierless QMF Filter Banks”, IEEE
Transactions on Circuits and Systems II, Vol. 46, No. 9, pp. 1179-1191,
Sept. 1999.
171.
Sapp and Y. Shang, “Intelligent
Web Representatives,”
Proc. IEEE 11th Int'l Conference on Tools with Artificial Intelligence, pp.
85-88, Nov. 1999.
172.
M. Popescu and Y.
Shang, “An
Agent-Based Approach for Interpreting Medical Images,”
Proc. IEEE 11th Int'l Conference on Tools with Artificial Intelligence, pp.
129-130, Nov. 1999.
173.
Y. Shang and L. Li, “Intelligent
Agents for Designing Filter Banks in Image Compression,”
Proc. Parallel and Distributed Methods for
Image Processing, SPIE Int'l Symposium on Optical Science, Engineering and
Instrumentation, pp. 98-107, July 1999.
174.
Y. Shang and L. Li, “Optimization
Design of Filter Banks in Subband Image Coding,”
Proc. IEEE Symposium on Application-Specific Systems and Software Engineering
and Technology, pp. 112-119, March 1999.
175.
Y. Shang
and B. W. Wah, “A
Discrete Lagrangian-based Global-Search Method for
Solving Satisfiability Problems,” Journal
of Global Optimization, Kluwer Academic, Vol. 12, No. 1, pp.
61-99, Jan. 1998.
176.
Y. Shang and B. W. Wah,
“Improving
the Performance of Discrete Lagrange-Multiplier Search for Solving Hard SAT
Problems,”
Proc. IEEE 10th Int'l Conference on Tools with Artificial Intelligence, pp.
176-183, Nov. 1998.
177.
Y. Shang and B. W. Wah,
“A New
Global-Search Method for Designing Filter Banks,”
Proc. Parallel and Distributed Methods for Image Processing II, SPIE Int'l
Symposium on Optical Science, Engineering and Instrumentation, pp. 94-105, July
1998.
178.
W. Wah, Y. Shang,
and Z. Wu, “Discrete Lagrangian Method for Optimizing the Design of Multiplierless QMF Filter Banks,” IEEE
Int'l Conf. on Application-Specific Systems, Architectures and Processors, pp.
529-538, July, 1997.
179.
W. Wah, Y. Shang,
T. Wang, and T. Yu, “QMF
Filter Bank Design by a New Global Optimization Method”,
Proc. IEEE Int'l Conf. on Acoustics, Speech and Signal Processing, vol. 3, pp.
2081-2084, April 1997.
180.
W. Wah, T. Wang,
Y. Shang, and Z. Wu, “Improving
the Performance of Weighted Lagrange-Multiplier Methods for Constrained
Nonlinear Optimization,”
Proc. 9th Int'l Conference on Tools with Artificial Intelligence, IEEE, pp.
224-231, Nov. 1997.
181.
W. Wah and Y.
Shang, “Discrete
Lagrangian-Based Search for Solving MAX-SAT Problems,”
Proc. 15th Int'l Joint Conf. on Artificial Intelligence, pp. 378-383, Aug.
1997.
182.
Y. Shang
and B. W. Wah, “Global
Optimization for Neural Network Training,”
IEEE Computer,
vol. 29, No. 3, pp. 45-54, March 1996.
183.
W. Wah, Y. Shang,
T. Wang, and T. Yu, “Global
Optimization Design of QMF Filter Banks”,
Proc. IEEE Midwest Symposium on Circuits and Systems, August 1996.
184.
Y. Shang and B. W. Wah,
“A
Global Optimization Method for Neural Network Training”,
Proc. 1996 IEEE Int'l Conf. on Neural Networks (Plenary, Panel and Special
Sessions), pp. 7-11, June 1996.
185.
W. Wah and Y. Shang, “A
Discrete Lagrangian-Based Global-Search Method for
Solving Satisfiability Problems”,
in Satisfiability Problem: Theory and Applications, Ed: Ding-Zhu Du, Jun
Gu, and Panos Pardalos, American Mathematical Society, March 1996.
186.
B. W. Wah and Y. Shang, “Comparison
and Evaluation of a Class of IDA* Algorithms,”
Int'l Journal of Tools with Artificial
Intelligence, World Scientific, vol. 3, no. 4, Oct.
1995, pp. 493-523.
187.
W. Wah and Y.
Shang, “A
Comparative Study of IDA*-Style Searches,”
Proc. 6th Int'l Conference on Tools with Artificial Intelligence, IEEE, Nov.
1994, pp. 290-296.
188.
Y. Shang
and Z. Tang, “Heuristic
Operators for Genetic Algorithms,” Journal
of Computer Research and Development of China,
vol. 29, pp. 14--19, Sept. 1992.
189.
Y. Shang and G-J Li, “New Crossover Operators In
Genetic Algorithms,”
Proc. 3rd Int'l Conference on Tools for Artificial Intelligence, IEEE, Nov.
1991, pp.150--153.