Publications
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.
Publications (Over
200 refereed journal and conference publications)
Refereed Journal Papers
1.
G. Chen and Y. Shang, “Transformer for Tree
Counting in Aerial Images,” Remote Sensing, vol. 14, no. 3, p. 476, Jan.
2022, doi: 10.3390/rs14030476.
2. W. Wang, J. Wang, Z. Li, D. Xu, and Y. Shang, “MUfoldQA_G: High-accuracy protein model QA
via retraining and transformation,” Computational and Structural
Biotechnology Journal, Volume 19, 2021, Pages 6282-6290, ISSN 2001-0370,
https://doi.org/10.1016/j.csbj.2021.11.021.
3. B. Rezaeianjouybari and Y. Shang, “A
Novel Deep Multi-Source Domain Adaptation Framework for Bearing Fault Diagnosis
Based on Feature-level and Task-specific Distribution Alignment,”
Measurement, Vol. 178, June 2021. https://doi.org/10.1016/j.measurement.2021.109359.
4. F.C. Feng and Y. Shang, “Breathing Crack Detection Using Dynamic
Equations and Machine Learning,” Journal of Vibration Testing and System
Dynamics, pp. 359-372, January 2021. 10.5890/JVTSD.2021.12.004.
5.
Y. Liu, P. Sun, N. Wergeles, and Y. Shang, “A
Survey and Performance Evaluation of Deep Learning Methods for Small Object
Detection,” Expert Systems With Applications, Vol 172, ISSN 0957-4174,
https://doi.org/10.1016/j.eswa.2021.114602, Elsevier, 2021.
6. B. Rezaeianjouybari and Y. Shang, “Deep
learning for prognostics and health management: State of the art, challenges,
and opportunities,” Measurement, Volume 163, 107929, ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2020.107929, Elsevier, 2020.
7. P. Sun, G. Chen and Y. Shang, "Adaptive
Saliency Biased Loss for Object Detection in Aerial Images," in IEEE
Transactions on Geoscience and Remote Sensing, vol. 58, no. 10, pp. 7154-7165,
Oct. 2020, doi: 10.1109/TGRS.2020.2980023.
8. C. Fang, Z. Li, D. Xu, and Y. Shang, “MUFold-SSW:
a new web server for predicting protein secondary structures, torsion angles
and turns,” Bioinformatics, 36(4), 15 February 2020.
9.
C. Fang, Y. Shang, and D. Xu, “A Deep Dense
Inception Network for Protein Beta-Turn Prediction,” Proteins: Structure,
Function, and Bioinformatics, Wiley, 11 July 2019.
10.
W. Wang, Z. Li, J. Wang, D. Xu, and Y. Shang,
“PSICA: a fast and accurate web service for protein model quality
analysis,” Nucleic Acids Research,
Volume 47, Issue W1, 02 July 2019, Pages W443–W450.
11.
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, 2019. DOI 10.1109/TCBB.2018.2880202.
12.
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, 16(3):1020-1028, May-June 2019.
DOI 10.1109/TCBB.2018.2814586.
13.
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,
16(2):596-606, March-April 2019. DOI: 10.1109/TCBB.2017.2784434.
14.
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, 86(5):592-598, May 2018. DOI 10.1002/prot.25487.
15.
C. Fang, Y. Shang, and D. Xu, “Improving
Protein Gamma-Turn Prediction Using Inception Capsule Networks,” Scientific Reports, 2018.
16.
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, 26(11), Nov. 2014. PMID: 25400485; PMCID: PMC4231498.
17.
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.
18.
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.
19.
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.
20.
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.
21.
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.
22. 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.
23.
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.
24.
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.
25.
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.
26.
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,
doi:10.1155/2011/928958, 2011.
27.
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.
28.
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.
29.
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.
30. 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.
31.
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.
32.
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.
33. 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.
34.
Y. Liu, H. Shi, and Y. Shang, “Design of
Learning Objects to Support Constructivist Learning Environments.” IEEE Learning Technology Newsletter,
11(4), Oct. 2009.
35. Yi Shang, H. Shi, Y.
Zhang, C. Guettier, “Distributed systems of
sensors and actuators.” Wireless
Communications and Mobile Computing, 9(3), 2009.
36. 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, 2009.
37. 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.
38. 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.
39. 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.
40. S. Selvakennedy, S. Sinnappan, and
Y. Shang, “A
Biologically-inspired Clustering Protocol for Wireless Sensor Networks,” Computer Communications, Vol. 30, June
2007.
41. 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.
42. X. Li, H. Shi, and Y. Shang, “Sensor Network Localization Based on Sorted
RSSI Quantization,” Int’l
Journal of Ad Hoc and Ubiquitous Computing,
1(4), pp. 222 – 229, July 2006.
43. 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.
44. 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.
45. 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.
46. 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.
47. Y. Shang,
W. Ruml, and M.
Fromherz,
“Positioning Using Local Maps,”
Ad Hoc Networks Journal, Elsevier,
Vol. 4, pp. 240-253, 2006.
48. 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.
49. 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.
50. 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.
51. 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.
52.
Y. Shang and M. Fromherz, “Experimental Complexity Analysis of Continuous Constraint
Satisfaction Problems,” Information
Sciences, Elsevier Science, No. 153, pp. 1-36,
2003.
53.
Y. Shang and L. Li, “Precision Evaluation of
Search Engines,” World Wide Web, Kluwer Academic, Vol. 5, No. 2,
pp. 159-173, 2002.
54.
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.
55.
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.
56.
L. Li and Y. Shang, “A New Method for Automatic
Performance Comparison of Search Engines,” World Wide Web, Kluwer
Academic, Vol. 3, No. 4, pp. 241-247, Dec. 2000.
57.
Y. Shang, C. Sapp, and H. Shi, “An Intelligent
Web Representative,” Information, Vol. 3, No. 2, International
Information Institute, Japan, 2000.
58.
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.
59.
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.
60.
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.
61.
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.
62.
Y. Shang and B. W. Wah, “Global Optimization for
Neural Network Training,” IEEE Computer, vol. 29, No. 3, pp.
45-54, March 1996.
63.
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.
64.
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.
Refereed
Conference Papers
- Y. Wang, Y. Zhang, Y. Feng, and Y. Shang,
“Deep Learning Methods for Animal Counting in Camera Trap
Images,” IEEE 34th International Conference on Tools with Artificial
Intelligence (ICTAI), Nov. 2022.
2. C. Li, W. Wang, B. Balducci, L. Hu, M. Gordon, D. Marinova, and Y. Shang,
“Deep Formality: Sentence Formality Prediction with Deep Learning,”
23rd IEEE International Conference on Information Reuse and Integration for
Data Science, April 2022.
- Z. Tang, Y. Zhang,
Y. Wang, R. Viegut, E. Webb, A. Raedeke, J. Sartwell,
and Y. Shang, "sUAS and Machine Learning Integration in Waterfowl
Population Surveys," 2021 IEEE 33rd International Conference on Tools
with Artificial Intelligence (ICTAI), 2021, pp. 517-521, doi: 10.1109/ICTAI52525.2021.00084.
- B. Rezaeianjouybari and Y. Shang, “An Empirical
Study of Machine Learning and Deep Learning Methods on Bearing Fault
Diagnosis Benchmarks,” Proc. ASME 2021 International Mechanical
Engineering Congress and Exposition. Volume 7A: Dynamics, Vibration, and
Control. Virtual, Online. November 1–5,
2021. V07AT07A050. ASME. https://doi.org/10.1115/IMECE2021-69994.
- W. Guo, S.
Zong, S. Chen, F. Zhao and Y. Shang, "Design
and Implementation of a New Serverless Conversational Survey System,"
2021 IEEE International Conference on Data Science and Computer
Application (ICDSCA), 2021, pp. 358-363, doi:
10.1109/ICDSCA53499.2021.9650203.
- C. Winters, J.
E. Varghese, G. Stafford, F. Zhao, S. Chen and Y.
Shang, "Creation of EMA-KN – A Knowledge Network for Ecological
Momentary Assessment," 2021 IEEE International Conference on Big Data
(Big Data), 2021, pp. 5639-5647, doi:
10.1109/BigData52589.2021.9671616.
- C. Li, W. Wang,
B. Balducci, D. Marinova and Y. Shang, "Predicting Conversation
Outcomes Using Multimodal Transformer," 2021 International Joint
Conference on Neural Networks (IJCNN), 2021, pp. 1-6, doi:
10.1109/IJCNN52387.2021.9533935.
- M. Krusniak, A. James, A. Flores and Y.
Shang, "A Multiple UAV Path-Planning Approach to Small Object Counting
with Aerial Images," 2021 IEEE International Conference on Consumer
Electronics (ICCE), 2021, pp. 1-6, doi:
10.1109/ICCE50685.2021.9427712.
- X. Su, Z. Ye, L. Wu, and Y. Shang, “Optimal Stochastic Media
Storage in Federated Cloud Environments,” Proc. IEEE International
Conference on Computing, Networking and Communications (ICNC), February
2020.
- M. Krusniak, K. Leppanen, Z. Tang, F. Gao,
Y. Wang, and Y. Shang, “A Detection Confidence-Regulated Path
Planning (DCRPP) Algorithm for Improved Small Object Counting in Aerial
Images,” Proc. IEEE International Conference on Consumer Electronics
(ICCE), January 2020.
- J. Wang, W. Wang, and Y. Shang, “A New Approach Of Applying Deep Learning To Protein Model Quality
Assessment,” Proc. IEEE International Conference on Bioinformatics
and Biomedicine, Nov. 2019.
- J. Ruffolo, Z. Li, and Y. Shang, “MUFold-Contact and TPCref:
New Methods for Protein Structure Contact Prediction and
Refinement,” Proc. IEEE International Conference on Bioinformatics
and Biomedicine, Nov. 2019.
- L. Guerdan, P. Sun, C. Rowland, L. Harrison, Z. Tang, N. Wergeles,
and Y. Shang, “Deep Learning vs. Classical Machine Learning: A
Comparison of Methods for Fluid Intelligence Prediction,” Adolescent
Brain Cognitive Development Neurocognitive Prediction, Lecture Notes in
Computer Science, Springer International, Oct. 2019.
- Y. Handrianto, R. Huang, and Y. Shang, “TigerAware Assistant:
A New Serverless Implementation of Conversational Agents for Customizable
Surveys on Smart Devices,” IEEE Transdisciplinary AI Conference,
September 2019.
- D. Simmons, M. Shah, J. Rogers, C. Rowland, and Y. Shang,
“Deep Learning at Your Fingertips,” IEEE Annual Consumer
Communications & Networking Conference, January 2019.
- W. Morrison, L. Guerdan, J. Kanugo, T.
Trull, and Y. Shang, “TigerAware: An Innovative Mobile Survey and
Sensor Data Collection and Analytics System,” IEEE International
Conference on Data Science in Cyberspace, June 2018.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- D. Wang and Y. Shang, “A New Active Labeling Method for Deep
Learning,” IEEE International Joint Conference on Neural Networks,
July 2014.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- X. Su, B. Schlinker, Y. Shang, and Z. Ye,
“Optimal Media Storage in Federated Cloud Environments,” Proc.
ICC’12, WS-CloudNetsDataCenters, 2012.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Q. Wang, Y.
Shang, and D. Xu, “Protein Structure Selection Based on
Consensus.” Proc. IEEE
Congress on Evolutionary Computation, Barcelona, Spain, July 2010.
- 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.
- 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.
- B. 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.
- P. Zhuang, D. Wang, and Y. Shang, “Distributed Faulty Sensor
Detection.” Proc. IEEE Globecom, Dec. 2009.
- P. Zhuang and Y. Shang. “Vehicle Localization from Wireless
Traffic Sensors.” Mobile
Entity Localization and Tracking in GPS-less Environnments
Workshop (MELT), Sept. 2009.
- P. Zhuang, D. Wang, and Y. Shang, “Distributed
Distribution-based Optimization for Sensor Fault Detection.” IEEE 52nd MWSCAS, Aug, 2009.
- 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.
- P. Zhuang and Y. Shang, “Cobra: Correlation-based content
authentication in wireless sensor networks,” Proc. IEEE Globecom, New Orleans,
Dec. 2008.
- 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.
- D. 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.
- I. 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.
- 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.
- A. 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- B. 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.
- 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.
- B. 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.
- 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.
- A. 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.
- B. 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.
- 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.
- 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.
- 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.
- 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.
- A. 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.
- 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.
- A. 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.
- B. 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.
- 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.
- 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.
- B. 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.
- 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.
- A. 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.
- 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.
- A. 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Y. Shang, J.
Meng, and H. Shi, “Relative Localization in Wireless Sensor
Networks,” IEEE Int’l
Parallel and Distributed Processing Symposium (IPDPS), April 2004.
- Y. Shang
and W. Ruml, “Improved MDS-Based
Localization,” IEEE Infocom,
Hong Kong, March 2004.
- 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.
- 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 (invited
paper).
- A. 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
(invited paper).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- O. 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- L. Li and Y. Shang, “Approximate
ranking of Web Searching Engines,” Proc. 10th Int'l World Wide
Web Conference (WWW10), Hong Kong, May 2001.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- C. Sapp and Y. Shang, “Intelligent Web
Representatives,” Proc. IEEE 11th Int'l Conference on Tools with
Artificial Intelligence, pp. 85-88, Nov. 1999.
- 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.
- 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.
- 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.
- 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.
- 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.
- B. 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.
- B. 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.
- B. 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.
- B. 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.
- 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.
- B. 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.
- B. 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.
- 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.
Patents
- Y. Zhang, M. Fromherz,
L. Crawford, Y. Shang, “Protocol Specification for Message-Initiated
Constraint-Based Routing”, US Patent 7,577,107, August 18, 2009.
- Y. Zhang, M. Fromherz,
Y. Shang, S. Vassilvitskii, L. Crawford,
“Learning-Based Strategies for Message-Initiated Constraint-Based
Routing”, US Patent 7,577,108, August 18, 2009.
- Y. Zhang, M. Fromherz,
S. Vassilvitskii, Y. Shang, “Time-aware
Strategy for Message-Initiated Constraint-Based Routing”, US Patent 7,486,627, February 3, 2009.
- Y. Shang and Wheeler Ruml, “Node Localization in Communication
networks”, US Patent 7,457,860,
November 25, 2008.
- M. Fromherz,
Y. Shang, L. Crawford, “Complexity-Directed Cooperative Problem
Solving”, US Patent 7,089,220, Aug. 8, 2006.
- M. Fromherz,
L. Crawford, Y. Shang, “Feedback Control of Problem Solving”,
US Patent 7,089,221, Aug. 8, 2006.