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• 2021

  David overshadows Goliath: Specializing in generality for internationalization in the global mobile money industry

  Wormald, A., Agarwal, R., Braguinsky, S. & Shah, S. K., Aug 2021, In: Strategic Management Journal. 42, 8, p. 1459-1489 31 p.

  Research output: Contribution to journal › Article › peer-review

• Dealer: An end-to-end model marketplace with differential privacy

  Liu, J., Lou, J., Liu, J., Xiong, L., Pei, J. & Sun, J., Feb 2021, In: Proceedings of the VLDB Endowment. 14, 6, p. 957-969 13 p.

  Research output: Contribution to journal › Article › peer-review

• Dearomative syn -1,2-Diamination of Benzene and Naphthalene

  Davis, C. W., Bingham, T. W., Okumura, M. & Sarlah, D., Sep 3 2021, In: Synthesis (Germany). 53, 22, p. 4290-4296 7 p.

  Research output: Contribution to journal › Article › peer-review

• Decentralized Makespan Minimization for Uniformly Related Agents

  Sengupta, R. & Nagi, R., Aug 23 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021. IEEE Computer Society, p. 2140-2145 6 p. (IEEE International Conference on Automation Science and Engineering; vol. 2021-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decentralized online convex optimization based on signs of relative states

  Cao, X. & Başar, T., Jul 2021, In: Automatica. 129, 109676.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decentralized Online Convex Optimization with Event-Triggered Communications

  Cao, X. & Basar, T., 2021, In: IEEE Transactions on Signal Processing. 69, p. 284-299 16 p., 9296963.

  Research output: Contribution to journal › Article › peer-review

• Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning

  Lu, S., Zhang, K., Chen, T., Başar, T. & Horesh, L., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 8767-8775 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 10A).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decentralized Q-Learning in Zero-sum Markov Games

  Sayin, M. O., Zhang, K., Leslie, D. S., Başar, T. & Ozdaglar, A., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 18320-18334 15 p. (Advances in Neural Information Processing Systems; vol. 22).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

  Liu, S., Chang, P., Liang, W., Chakraborty, N. & Driggs-Campbell, K., 2021, 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. Institute of Electrical and Electronics Engineers Inc., p. 3517-3524 8 p. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2021-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deception-as-Defense Framework for Cyber-Physical Systems

  Sayin, M. O. & Başar, T., 2021, Lecture Notes in Control and Information Sciences. Springer, p. 287-317 31 p. (Lecture Notes in Control and Information Sciences; vol. 486).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Deciding accuracy of differential privacy schemes

  Barthe, G., Chadha, R., Krogmeier, P., Sistla, A. P. & Viswanathan, M., Jan 2021, In: Proceedings of the ACM on Programming Languages. 5, POPL, 8.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Deciding on drawing: the topic matters when using drawing as a science learning strategy

  Kunze, A. & Cromley, J. G., 2021, In: International Journal of Science Education. 43, 4, p. 624-640 17 p.

  Research output: Contribution to journal › Article › peer-review

• DeCiFering the Elusive Cancer Cell Fraction in Tumor Heterogeneity and Evolution

  Satas, G., Zaccaria, S., El-Kebir, M. & Raphael, B. J., Oct 20 2021, In: Cell Systems. 12, 10, p. 1004-1018 15 p.

  Research output: Contribution to journal › Article › peer-review

• Deciphering enhancer sequence using thermodynamics-based models and convolutional neural networks

  Dibaeinia, P. & Sinha, S., Oct 11 2021, In: Nucleic acids research. 49, 18, p. 10309-10327 19 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decision Feedback Equalizer (DFE) Taps Estimation with Machine Learning Methods

  Shi, B., Zhao, Y., Ma, H., Nguyen, T., Li, E. P., Cangellaris, A. C. & Schutt-Aine, J., 2021, 2021 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2021. Institute of Electrical and Electronics Engineers Inc., (IEEE Electrical Design of Advanced Packaging and Systems Symposium; vol. 2021-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decision Making in Joint Push-Grasp Action Space for Large-Scale Object Sorting

  Pan, Z. & Hauser, K., 2021, 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. Institute of Electrical and Electronics Engineers Inc., p. 6199-6205 7 p. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2021-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Decision Making in Star Networks with Incorrect Beliefs

  Seo, D., Raman, R. K. & Varshney, L., 2021, In: IEEE Transactions on Signal Processing. 69, p. 6221-6236 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Declines in rodent abundance and diversity track regional climate variability in North American drylands

  Cárdenas, P. A., Christensen, E., Ernest, S. K. M., Lightfoot, D. C., Schooley, R. L., Stapp, P. & Rudgers, J. A., Sep 2021, In: Global change biology. 27, 17, p. 4005-4023 19 p.

  Research output: Contribution to journal › Article › peer-review

• Decoding the Perception of Sincerity in Dialogues

  Girlea, C. & Girju, C. R., 2021, In: IEEE Transactions on Affective Computing. 12, 1, p. 2-15 14 p., 8408486.

  Research output: Contribution to journal › Article › peer-review

• Decoding visual information from high-density diffuse optical tomography neuroimaging data

  Tripathy, K., Markow, Z. E., Fishell, A. K., Sherafati, A., Burns-Yocum, T. M., Schroeder, M. L., Svoboda, A. M., Eggebrecht, A. T., Anastasio, M. A., Schlaggar, B. L. & Culver, J. P., Feb 1 2021, In: NeuroImage. 226, 117516.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decoherent quench dynamics across quantum phase transitions

  Kuo, W. T., Arovas, D., Vishveshwara, S. & You, Y. Z., Oct 2021, In: SciPost Physics. 11, 4, 084.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decomposition of Natural Catastrophe Risks: Insurability Using Parametric CAT Bonds

  Tavanaie Marvi, M. & Linders, D., Dec 1 2021, In: Risks. 9, 12, 215.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Decoupled Representation Learning for Attributed Networks

  Wang, H., Lian, D., Tong, H., Liu, Q., Huang, Z. & Chen, E., Sep 22 2021, (E-pub ahead of print) In: IEEE Transactions on Knowledge and Data Engineering.

  Research output: Contribution to journal › Article › peer-review

• Decreased resting perfusion in precuneus and posterior cingulate cortex predicts tinnitus severity

  Zimmerman, B. J., Schmidt, S. A., Khan, R. A., Tai, Y., Shahsavarani, S. & Husain, F. T., 2021, In: Current Research in Neurobiology. 2, 100010.

  Research output: Contribution to journal › Article › peer-review

• Decreasing the Energy Consumption of the CO₂Electrolysis Process Using a Magnetic Field

  Bhargava, S. S., Azmoodeh, D., Chen, X., Cofell, E. R., Esposito, A. M., Verma, S., Gewirth, A. A. & Kenis, P. J. A., Jul 9 2021, In: ACS Energy Letters. 6, 7, p. 2427-2433 7 p.

  Research output: Contribution to journal › Article › peer-review

• Dectin-1 limits autoimmune neuroinflammation and promotes myeloid cell-astrocyte crosstalk via Card9-independent expression of Oncostatin M

  Deerhake, M. E., Danzaki, K., Inoue, M., Cardakli, E. D., Nonaka, T., Aggarwal, N., Barclay, W. E., Ji, R. R. & Shinohara, M. L., Mar 9 2021, In: Immunity. 54, 3, p. 484-498.e8

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach

  Petit, A., Yildirimoglu, M., Geroliminis, N. & Ouyang, Y., Jul 2021, In: Transportation Research Part C: Emerging Technologies. 128, 103187.

  Research output: Contribution to journal › Article › peer-review

• Deep active learning for Interictal Ictal Injury Continuum EEG patterns

  Ge, W., Jing, J., An, S., Herlopian, A., Ng, M., Struck, A. F., Appavu, B., Johnson, E. L., Osman, G., Haider, H. A., Karakis, I., Kim, J. A., Halford, J. J., Dhakar, M. B., Sarkis, R. A., Swisher, C. B., Schmitt, S., Lee, J. W., Tabaeizadeh, M., Rodriguez, A., & 10 othersGaspard, N., Gilmore, E., Herman, S. T., Kaplan, P. W., Pathmanathan, J., Hong, S., Rosenthal, E. S., Zafar, S., Sun, J. & Westover, M. B., Mar 1 2021, In: Journal of Neuroscience Methods. 351, 108966.

  Research output: Contribution to journal › Article › peer-review

• Deep co-attention network for multi-view subspace learning

  Zheng, L., Cheng, Y., Yang, H., Cao, N. & He, J., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 1528-1539 12 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Contextualized Compressive Offloading for Images

  Chen, B., Yan, Z., Guo, H., Yang, Z., Ali-Eldin, A., Shenoy, P. & Nahrstedt, K., Nov 15 2021, SenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, p. 467-473 7 p. (SenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep geometric representations for modeling effects of mutations on protein-protein binding affinity

  Liu, X., Luo, Y., Li, P., Song, S. & Peng, J., Aug 2021, In: PLoS computational biology. 17, 8, e1009284.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Deep just-in-time defect prediction: How far are we?

  Zeng, Z., Zhang, Y., Zhang, H. & Zhang, L., Jul 11 2021, ISSTA 2021 - Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis. Cadar, C. & Zhang, X. (eds.). Association for Computing Machinery, Inc, p. 427-438 12 p. 3464819. (ISSTA 2021 - Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep kernel recursive least-squares algorithm

  Mohamadipanah, H., Heydari, M. & Chowdhary, G., May 2021, In: Nonlinear Dynamics. 104, 3, p. 2515-2530 16 p.

  Research output: Contribution to journal › Article › peer-review

• Deep learning-based high-throughput phenotyping accelerates gene discovery for stomatal traits

  Zhang, W., Calla, B. & Thiruppathi, D., Nov 2021, In: Plant physiology. 187, 3, p. 1273-1275 3 p.

  Research output: Contribution to journal › Short survey › peer-review

  Open Access

• Deep learning-based multi-class COVID-19 classification with x-ray images

  Fan, Z., He, S., Ruan, S., Wang, X. & Li, H., 2021, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling. Linte, C. A. & Siewerdsen, J. H. (eds.). SPIE, 1159813. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11598).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning-Based Named Entity Recognition from Construction Safety Regulations for Automated Field Compliance Checking

  Wang, X. & El-Gohary, N., 2021, Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021. Issa, R. R. A. (ed.). American Society of Civil Engineers, p. 164-171 8 p. (Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep learning-based protocols to enhance infrared imaging systems

  Falahkheirkhah, K., Yeh, K., Mittal, S., Pfister, L. & Bhargava, R., Oct 15 2021, In: Chemometrics and Intelligent Laboratory Systems. 217, 104390.

  Research output: Contribution to journal › Article › peer-review

• Deep-learning-enabled polarization-sensitive optical coherence tomography (OCT)

  Sun, Y., Wang, J., Shi, J. & Boppart, S. A., 2021, Optical Molecular Probes, Imaging and Drug Delivery, OMP 2021. Optica Publishing Group (formerly OSA), OF2E.3. (Optics InfoBase Conference Papers).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning for Cardiologist-Level Myocardial Infarction Detection in Electrocardiograms

  Gupta, A., Huerta, E., Zhao, Z. & Moussa, I., 2021, 8th European Medical and Biological Engineering Conference - Proceedings of the EMBEC 2020. Jarm, T., Cvetkoska, A., Mahnič-Kalamiza, S. & Miklavcic, D. (eds.). Springer, p. 341-355 15 p. (IFMBE Proceedings; vol. 80).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning for Mortgage Risk

  Sadhwani, A., Giesecke, K. & Sirignano, J., 2021, In: Journal of Financial Econometrics. 19, 2, p. 313-368 56 p.

  Research output: Contribution to journal › Article › peer-review

• Deep learning for plasticity and thermo-viscoplasticity

  Abueidda, D. W., Koric, S., Sobh, N. A. & Sehitoglu, H., Jan 2021, In: International journal of plasticity. 136, 102852.

  Research output: Contribution to journal › Article › peer-review

• Deep Learning for Visual Data Compression

  Lu, G., Yang, R., Wang, S., Liu, S. & Timofte, R., Oct 17 2021, MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia. Association for Computing Machinery, Inc, p. 5683-5685 3 p. (MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning on Graphs for Natural Language Processing

  Wu, L., Chen, Y., Ji, H. & Liu, B., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4084-4085 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning on Graphs for Natural Language Processing

  Wu, L., Chen, Y. & Ji, H., Jul 11 2021, SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2651-2653 3 p. 3462809. (SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep Learning Sequence Methods in Multiphysics Modeling of Steel Solidification

  Koric, S. & Abueidda, D. W., Mar 17 2021, In: Metals. 11, 3, p. 1-13 13 p., 494.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Deep Learning with Quantized Neural Networks for Gravitational-wave Forecasting of Eccentric Compact Binary Coalescence

  Wei, W., Huerta, E. A., Yun, M., Loutrel, N., Shaikh, M. A., Kumar, P., Haas, R. & Kindratenko, V., Oct 1 2021, In: Astrophysical Journal. 919, 2, 82.

  Research output: Contribution to journal › Article › peer-review

• Deeply-supervised density regression for automatic cell counting in microscopy images

  He, S., Minn, K. T., Solnica-Krezel, L., Anastasio, M. A. & Li, H., Feb 2021, In: Medical Image Analysis. 68, 101892.

  Research output: Contribution to journal › Article › peer-review

• Deep Mutational Scanning of Viral Glycoproteins and Their Host Receptors

  Narayanan, K. K. & Procko, E., Apr 9 2021, In: Frontiers in Molecular Biosciences. 8, 636660.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

• DeepPurpose: A Deep Learning Library for Drug-Target Interaction Prediction

  Huang, K., Fu, T., Glass, L. M., Zitnik, M., Xiao, C. & Sun, J., Apr 1 2021, In: Bioinformatics (Oxford, England). 36, 22-23, p. 5545-5547 3 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization

  Messaoud, S., Lourentzou, I., Boughoula, A., Zehni, M., Zhao, Z., Zhai, C. & Schwing, A. G., Jul 11 2021, SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1389-1399 11 p. 3462959. (SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution