Publications

Here is a list of selected publications. Please refer to each faculty’s personal webpage for a full list from here.

2021

M. De Cock, R. Dowsley, A. C. A. Nascimento, D. Railsback, J. Shen, A. Todoki. High Performance Logistic Regression for Privacy-Preserving Genome Analysis. BMC Medical Genomics 14(23), 2021
X. Li, R. Dowsley, M. De Cock. Privacy-Preserving Feature Selection with Secure Multiparty Computation. In: Proceedings of the 38th International Conference on Machine Learning (ICML’21), virtual, 2021, pp. 6326-6336.
S. Pentyala, R. Dowsley, M. De Cock. Privacy-Preserving Video Classification with Convolutional Neural Networks. In: Proceedings of the 38th International Conference on Machine Learning (ICML’21), virtual, 2021, pp. 8487-8499.
Y. Xu, Q. Qian, H. Li, R. Jin, J. Hu. Weakly Supervised Representation Learning With Coarse Labels. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV’21), virtual, 2021, pp. 10593-10601.
C. Allen, J. Hu, V. Kumar, M. Ahmad, and A. Teredesai. Interpretable phenotyping for electronic health records. In: Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI’21), Victoria, Canada, 2021, pp.161-170.

2020

Q. Qian, J. Hu, and H. Li. Hierarchically robust representation learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’20), Seattle, WA, 2020, pp.7336-7344.
A. Hendawi, J. A. Stankovic, A. Taha, S. El-Sappagh, A. A. Ahmadain, and M. Ali . Road network simplification for location-based services. Geoinformatica (2020).
M. Mushthofa, S. Schockaert, and M. De Cock. Fuzzy Answer Set Programming: from Theory to Practice. In: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications (O. Kosheleva, S. Shary, G. Xiang, R. Zapatrin, eds.), Studies in Computational Intelligence 835, Springer, p. 213-228, 2020.
C. Crépeau, R. Dowsley, and A.C.A. Nascimento. On the Commitment Capacity of Unfair Noisy Channels. IEEE Transactions on Information Theory 66(6): 3745–3752, 2020.
X. Nian, A. A. Irissappane, D. Roijers. DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments. In: Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS’20), Auckland, New Zealand, 2020, pp.931-938.

2019

Q. Qian, L. Shang, B. Sun, J. Hu, H. Li, and R. Jin. SoftTriple loss: Deep metric learning without triplet sampling. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV’19), Seoul, Korea, 2019, pp.6450-6458.
B. Yu, G. Graciani, A. Nascimento, and J. Hu. Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering. In: Proceedings of the 2019 IEEE International Conference on Big Data (BigData’19), Los Angeles, CA, 2019, pp.4208-4213.
M. De Cock, R. Dowsley, C. Horst, R. Katti, A. Nascimento, W.-S. Poon, S. Truex. Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation. IEEE Transactions on Dependable and Secure Computing 16(2): 217-230, 2019.
D. Reich, A. Todoki, R. Dowsley, M. De Cock, and A. Nascimento. Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation. In: Advances in Neural Information Processing Systems 32 (NeurIPS’19), Vancouver, Canada, 2019, pp. 3752–3764.
L.-H. Hung, W. Lloyd, R. A. Sridhar, S. D. A. Ravishankar, Y. Xiong, E. Sobie, and K. Y. Yeung. Holistic optimization of an RNA-seq workflow for multi-threaded environments. Bioinformatics 35(20): 4173-4175, 2019.
S Cheng, Y Li, Z Tian, W Cheng, and X Cheng. A model for integrating heterogeneous sensory data in IoT systems. Computer Networks 150: 1-14, 2019.
G. Stanton and A. A. Irissappane. GANs for Semi-Supervised Opinion Spam Detection. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), Macao, China, 2019, pp.5204-5210.
S. Chen, E. Andrejczuk, A. A. Irissappane, and J. Zhang. ATSIS: Achieving Ad hoc Teamwork by Sub-task Inference and Selection. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), Macao, China, 2019, pp.172-179.

2018

A. Hendawi, J. Gupta, J. Liu, A. Teredesai, R. Naveen, S. Mohak, and M. Ali. Distributed NoSQL Data Stores: Performance Analysis and a Case Study. In: Proceedings of the 2018 IEEE International Conference on Big Data (BigData’18), Seattle, WA, 2018, pp. 1937-1944.
S. De Clercq, S. Schockaert, A. Nowe, M. De Cock. Modelling Incomplete Information in Boolean Games using Possibilistic Logic. International Journal of Approximate Reasoning 93: 1-23, 2018.
M. Mushthofa, S. Schockaert, L.-H. Hung, K. Marchal, M. De Cock. Modeling Multi-Valued Biological Interaction Networks using Fuzzy Answer Set Programming. Fuzzy Sets and Systems 345: 63-82, 2018.
R. Almugbel, L.-H. Hung, J. Hu, A. Almutairy, N. Ortogero, Y. Tamta, and K.Y. Yeung. Reproducible Bioconductor workflows using browser-based interactive notebooks and containers. Journal of the American Medical Informatics Association 25(1): 4-12, 2018.
G. Farnadi, J. Tang, M. De Cock, M.-F. Moens. User Profiling through Deep Multimodal Fusion. In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM’18), Los Angeles, CA, 2018, pp.171-179.
E. Al-Masri. Enhancing the Microservices Architecture for the Internet of Things. In: Proceedings of the 2018 IEEE International Conference on Big Data (BigData’18), Seattle, WA, 2018, pp. 5119-5125.
S. Chen, A. A. Irissappane, and J. Zhang. POMDP-based Decision Making for Fast Event in VANETS. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’18), New Orleans, LA, 2018, pp.4646-4653.
J. Li, M. Siddula, X. Cheng, W. Cheng, Z. Tian, and Y. Li. Sampling Based δ-Approximate Data Aggregation in Sensor Equipped IoT Networks. In: Proceedings of the 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA’18), Tianjin, China, 2018, pp.249-260.
M. Fotouhi, R. Niu, and W. Cheng. An Accurate Smartphone Ranging System. In: Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys’18), Munich, Germany, 2018, pp. 521-521.

2017 – 2016

M. De Cock, R. Dowsley, C. Horst, R. Katti, A. Nascimento, W.-S. Poon, S. Truex. Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation. IEEE Transactions on Dependable and Secure Computing 16(2): 217-230, 2017.
S. De Clercq, K. Bauters, S. Schockaert, M. Mihaylov, A. Nowe, M. De Cock. Exact and Heuristic Methods for Solving Boolean Games. Journal of Autonomous Agents and Multi-Agent Systems 31(1): 66-106, 2017.
G. Farnadi, S.H. Bach, M.-F. Moens, L. Getoor, M. De Cock. Soft Quantification in Statistical Relational Learning. Machine Learning 106(12): 1971-1991, 2017.
E. Merhej, S. Schockaert, M. De Cock. Repairing Inconsistent Answer Set Programs Using Rules of Thumb: a Gene Regulatory Networks Case Study. International Journal of Approximate Reasoning 83: 243-264, 2017.
W. Lloyd, S. Pallickara, O. David, M. Arabi, K. Rojas, T. Wible, J. Ditty. Demystifying the Clouds: Harnessing Resource Utilizaiton Models for Cost Effective Infrastructure Alternatives. IEEE Transactions on Cloud Computing 5(4): 667-680, 2017.
G. Farnadi, G. Sitaraman, S. Sushmita, F. Celli, M. Kosinski, D. Stillwell, S. Davalos, M.-F. Moens, M. De Cock. Computational Personality Recognition in Social Media. User Modeling and User-Adapted Interaction 26(2): 109-142, 2016.
S. De Clercq, S. Schockaert, M. De Cock, A. Nowe. Solving Stable Matching Problems using Answer Set Programming. Theory and Practice of Logic Programming 16(3): 247-268, 2016.
S. De Clercq, S. Schockaert, A. Nowe, M. De Cock. Formalizing Commitment-based Deals in Boolean Games. In: Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI’2016), The Hague, Holland, 2016, pp.329-337.
B. David, R. Dowsley, J. van Graaf, D. Marques, A. C. Nascimento, and A. C. Pinto. Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra. IEEE Transactions on Information Forensics and Security 11(1): 59-73, 2016.

2015

S.B. Roy, A. Teredesai, K. Zolfaghar, R. Liu, D. Hazel, S. Newman, and A. Marinez. Dynamic hierarchical classification for patient risk-of-readmission. In: Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining (KDD’15), Hilton, Sydney, 2015, pp. 1691-1700.
A. Hendawi, A. Khot, A. Rustum, A. Basalamah, A. Teredesai and M. Ali. A Map-Matching Aware Framework for Road Network Compression, In: Proceedings of the International Conference on Mobile Data Management (MDM’15), Pittsburgh, PA, 2015, pp.327-330. (Best Demo Award)
A. Hendawi, M. Ali, and M. Mokbel. A Framework for Spatial Predictive Query Processing and Visualization. In: Proceedings of the International Conference on Mobile Data Management (MDM’15), Pittsburgh, PA, 2015, pp.327-330. (Best Demo Award)
A. Hendawi, J. Bao, M. F. Mokbel, and M. Ali. Predictive Tree: An Efficient Index for Predictive Queries on Road Networks. In: Proceedings of the International Conference on Data Engineering (ICDE’15), Seoul, Korea, 2015, pp.1215-1226.
A. Hendawi, A. Khot, A. Rustum, A. Basalamah, A. Teredesai, and M. Ali. COMA: Road Network Compression for Map Matching. In: Proceedings of the International Conference on Mobile Data Management (MDM’15), Pittsburgh, PA, 2015, pp.104-109.
K. Bauters, S. Schockaert, M. De Cock, and D. Vermeir. Characterizing and Extending Answer Set Semantics using Possibility Theory. Theory and Practice of Logic Programming 15(1): 79-116, 2015.
M. Blondeel, T. Flaminio, S. Schockaert, L. Godo, and M. De Cock. On the relationship between fuzzy autoepistemic logic and fuzzy modal logics of belief. Fuzzy Sets and Systems 276: 74-99, 2015.
G. Farnadi, S.H. Bach, M. Blondeel, M.-F. Moens, L. Getoor, M. De Cock. Statistical Relational Learning with Soft Quantifiers. In: Proceedings of the 25th International Conference on Inductive Logic Programming (ILP’15), Kyoto, Japan, 2015, pp.60-75. (Best Student Paper Award)
S. De Clercq, S. Schockaert, A. Nowe, M. De Cock. Multilateral Negotiation in Boolean Games with Incomplete Information using Generalized Possibilistic Logic. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’15), Buenos Aires, Argentina, 2015, pp.2890-2896.
M. Pereira, R. Dowsley, A.C.A. Nascimento, G. Hanaoka. Public-Key Encryption Schemes with Bounded CCA Security and Optimal Ciphertext Length Based on the CDH and HDH Assumptions. The Computer Journal 58(10): 2738–2746, 2015.

2014 – 2013

K. Bauters, S. Schockaert, M. De Cock, and D. Vermeir. Semantics for Possibilistic Answer Set Programs: Uncertain Rules versus Rules with Uncertain Conclusions. International Journal of Approximate Reasoning 55(2): 739-761, 2014.
M. Blondeel, S. Schockaert, M. De Cock, and D. Vermeir. Fuzzy Autoepistemic Logic and its Relation to Fuzzy Answer Set Programming. Fuzzy Sets and Systems 239: 51-80, 2014.
O. De Clercq, V. Hoste, B. Desmet, P. Van Oosten, and M. De Cock, L. Macken. Using the Crowd for Readability Prediction. Natural Language Engineering 20(3): 293-325, 2014.
M. Blondeel, S. Schockaert, M. De Cock, and D. Vermeir. Complexity of Fuzzy Answer Set Programming under Lukasiewicz Semantics. International Journal of Approximate Reasoning 55(9): 1971-2003, 2014.
M. Mushthofa, G. Torres, Y. Van de Peer, K. Marchal, and M. De Cock. ASP-G: An ASP-based Method for Finding Attractors in Genetic Regulatory Networks. Bioinformatics 30(21): 3086-3092, 2014.
Y. N. Silva, W. G. Aref, P.-A. Larson, S. S. Pearson, and M. Ali, Similarity Queries: Their Conceptual Evaluation, Transformations, and Processing. VLDB Journal, 22(3): 395-420, 2013.

2012 – 2010

M. Ali, B. Chandramouli, J. Fay, C. Wong, S. Drucker, and B. S. Raman. Online Visualization of Geospatial Stream Data using the WorldWide Telescope. In: Proceedings of the International Conference on Very Large Data Bases (VLDB’11), Seattle, WA, 2011, pp.1379-1382.
J. Miller, M. Raymond, J. Archer, S. Adem, L. Hansel, S. Konda, M. Luti, Y. Zhao, A. Teredesai, and M. Ali. An Extensibility Approach for Spatio-temporal Stream Processing using Microsoft StreamInsight. In: Proceedings of the 12^th International Symposium on Spatial and Temporal Databases (SSTD’11), Minneapolis, MN, 2011, pp.496-501. [Watch Video]
M. Ali, B. Chandramouli, J. Goldstein, and R. Schindlauer. The Extensibility Framework in Microsoft StreamInsight. In: Proceedings of the International Conference on Data Engineering (ICDE’11), Hannover, Germany, 2011, pp.1242-1253.
Y. Silva, W. Aref, and M. Ali, The Similarity Join DataBase Operator. In: Proceedings of the International Conference on Data Engineering (ICDE’10), Long Beach, CA, 2010, pp.892-903.
B. Chandramouli, M. Ali, J. Goldstein, B. Sezgin, and B. S. Raman, Data Stream Management Systems for Computational Finance. Technical Report, MSR-TR-2010-130, Microsoft Research, Sept. 2010.
S.J. Kazemitabar, U. Demiryurek, M. Ali, A. Akdogan, and C. Shahabi, Geospatial Stream Query Processing using Microsoft SQL Server StreamInsight. In: Proceedings of the International Conference on Very Large Data Bases (VLDB’10), Singapore, 2010, pp.1537-1540.