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Student Accomplishments

Ph.D. students at the Tuchman School of Management are accomplished and quickly emerging as well recognized peers in their respective fields of study.

Ph.D. Degree

Journal Articles

Forthcoming

  • Fresneda, Jorge; Hui, Jeremy; and Hill, Chelsey, “Market Segmentation in the Emoji Era.” Communications of the ACM. Forthcoming

2022

  • Bharati, Roshani and Fresneda, Jorge (2022), “Will online grocery sales continue at record pace after Covid-19? Investigating consumer reviews.” Las Vegas (NV), AMA Winter Academic Conference.

2021

  • Zhang, X., Gopalakrishnan, S., Roy, R., & Bandera, C. (2021). Impact of entrepreneurs’ full-time versus hybrid employment and social connections on new venture survival: A US-India comparison, South Asian Journal of Busines Studies, accepted for publication. https://doi.org/10.1108/SAJBS-01-2021-0040

  • Uddin A, Tao S., Chou, C.,Yu D., Are missing values important for earnings forecast? A machine learning perspective, Quantitative Finance, 2021.

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

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

2020

  • Uddin, Ajim and Yu, Dantong (2020). Latent factor model for asset pricing, Journal of Behavioral and Experimental Finance, 27, 100353.

  • Uddin, Ajim, Chowdhury, Mohammad Ashraful Ferdous, Sajib, Sanjay Deb, and Masih Mansur (2020). Revisiting the impact of institutional quality on post-GFC bank risk-taking: Evidence from emerging countries. Emerging Markets Review, 42, 100659.

  • El-Rayes, Nesreen, Fang, Ming, Smith, Michael, and Taylor, Stephen M. (2020). Predicting employee attrition using tree-based models. International Journal of Organizational Analysis, 28 (6), 1273-1291.

2019

  • Zhang, Haisu and Chen, Weizhi (2019), “Backer Motivation in Crowdfunding New Product Ideas: Is It about You or Is It about Me?” Journal of Product Innovation Management, 36(2), 241-262.

  • Zhang, Haisu and Chen, Weizhi (2019), “Crowdfunding Technological Innovations: Interaction between Consumer Benefits and Rewards.” Technovation, 84-85, 11-20.

  • Wang, Chong, Zhao, Shuai, Kalra, Achir, Borcea, Cristian, and Chen, Yi (2019). Webpage depth viewability prediction using deep sequential neural networks. IEEE Transactions on Knowledge and Data Engineering.

  • Ali, Yassmin, Soto, Pablo, Fang, Ming, Taylor, Stephen, and Wang, Xun (2019). Social Security Benefit Valuation, Risk, and Optimal Retirement. Risks, 7, 124. 

2018

  • Wang, Chong, Zhao, Shuai, Kalra, Achir, Borcea, Cristian, Chen, Yi (2018). Predictive models and analysis for webpage depth‐level dwell time. Journal of the Association for Information Science and Technology, 69(8), 1007-1022.

2017

  • Uddin, Ajim, Chowdhury, Mohammad Ashraful Ferdous, and Islam, Md. Nazrul (2017). Resiliency between Islamic and conventional banks in Bangladesh: Dynamic GMM and quantile regression approaches. International Journal of Islamic and Middle Eastern Finance and Management, 10(3), pp.400-418.

Book Chapters

2019

  • Rasid, Mohamed Eskandar Shah Mohd, Uddin, Ajim and Chowdhury, Mohammad Ashraful Ferdous (2019). Islamic corporate finance: capital structure. In: H. Kabir, M. Rashid and S. Aliyu, ed., Islamic Corporate Finance, 1st ed. Abingdon, Oxfordshire: Routledge.

Conference Proceedings or Presentations

2020

  • Li, Mingda, Gao, Weiting, and Chen, Yi (2020). A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities. Proceedings of the 29th ACM International Conference on Information & Knowledge Management.

  • Malyack, Colette Therese, Hunter, Krystal M., and Hiltz, Starr Roxanne (2002). Twitter and the Prediction of Oscar Winners, AMCIS 2020 Proceedings.

  • Zhao, Shuai, Jiang, Xiaopeng, Jacobson, Guy, Jana, Rittwik, Hsu, Wen-Ling, Rustamov, Raif, Talasila, Manoop, Aftab, Syed Anwar, Chen, Yi, and Borcea, Cristian (2020). Cellular network traffic prediction incorporating handover: a graph convolutional approach. The 17th Annual IEEE International Conference on Sensing, Communication and Networking (IEEE SECON 2020).

  • Zhao, Shuai, Bharati, Roshani, Borcea, Cristian, and Chen, Yi. Privacy-Aware Federated Learning for Page Recommendation. 2020 IEEE International Conference on Big Data.

  • Zhao, Shuai, Hsu, Wen-Ling, Ma, George, Xu, Tan, Jacobson, Guy, Rustamov, Raif (2020). Characterizing and learning representation on customer contact journeys in cellular services. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).

  • Zhao, Shuai, Kalra, Achir, Borcea, Cristian, and Chen, Yi (2020). To be tough or soft: measuring the impact of counter-ad-blocking strategies on user engagement. The Web Conference (WWW 2020).

  • El-Rayes, Nesreen, Taylor, Stephen, and Smith, Michael. An Explicative and Predictive Study of Employee Attrition using Tree-based Models. Hawaii International Conference on System Sciences, 07 Jan 2020​.

  • Uddin, Ajim, Tao, Xinyuan, Chou, Chia-Ching, and Yu, Dantong (2020). Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts’ Earnings Forecast, In: 20th IEEE International Conference on Data Mining Workshop. ICDMW-2020. IEEE.

  • Zhang, Xi, Roy, Raja, & Gopalakrishnan, Shanti (2020). From ugly duckling to swan: CVC, open innovation, and the advent of unicorn ventures. The 7th Annual World Open ‎Innovation Conference (WOIC), University of California, Berkeley.

  • Zhang, Xi, Roy, Raja, & Gopalakrishnan, Shanti (2020). Surviving the Fuzzy Front end: An entrepreneur’s Social Network, degree of involvement and Start up Survival in India and the US, Presented at Eastern Academy of Management (EAM) 2020

  • Shi, Jinhe, Gao, Xiangyu, Ha, Chenyu, Wang, Yage, Gao, Guodong, & Chen, Yi (2020). Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes. In 2020 IEEE International Conference on Big Data (Big Data). IEEE.

  • Gao, Xiangyu, Shi, Jinhe, Chen, Wenjin, Sazo, Nancy, Chu, Huiqi, Sadimin, Evita, Foran, David J. & Chen, Yi (2020). CBEx: A Hybrid Approach for Cancer Biomarker Extraction. In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

  • Almoqbel, Mashael Yousef, Wang, Xun, and Hiltz Starr Roxanne (2020). Do I Care Enough? Using a Prosocial Tendencies Measure to Understand Twitter Users Sharing Behavior for Minor Public Safety Incidents. Hawaii International Conference on System Sciences.

2019

  • Farha, Yasser and Bandera, Cesar (2019). Automated Text Analysis Models for Entrepreneurship Education. Proceedings of 2019 The United State Association for Small Business and Entrepreneurship Conference.

  • Yao, Shibo, Yu, Dantong, and Xiao, Keli (2019). Enhancing Domain Word Embedding via Latent Semantic Imputation. KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

  • Zhao, Shuai, Kalra, Achir, Wang, Chong, Borcea, Cristian and Chen, Yi (2019). Ad blocking whitelist prediction for online publishers. 2019 IEEE International Conference on Big Data.

  • Wu, Qiong, Hsu, Wen-Ling, Xu, Tan, Liu, Zhenming, Ma, George, Jacobson, Guy, and Zhao, Shuai (2019). Speaking with actions-learning customer journey behavior. 2019 IEEE 13th International Conference on Semantic Computing (ICSC).

  • Chen, Weizhi and Zhang, Haisu (2019), “Interactive Effects of Goal-setting and Reward in Crowdfunding of Technological Innovation,” 2019 AMA Winter Academic Conference.

  • Roy, Raja, Gopalakrishnan, Shanti, Zhang, Xi, and Bandera, Cesar (2019). Surviving the Fuzzy Front End: Startup Survival in India and the U.S. Presented at 2019 SMS Annual Conference in Minneapolis

  • Zhang, Xi (2019). Upstream and Downstream Capabilities of Incumbents: Navigating a Disruptive Technological Change. Presented at 2019 International Entrepreneurship Applied Research Symposium, Cleveland State University 

2018

  • Zhao, Shuai, Talasila, Manoop, Jacobson, Guy, Borcea, Cristian, Aftab, Syed Anwar, and Murray, John F (2018). Packaging and sharing machine learning models via the Acumos AI open platform. 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

2017

  • Zhang, Haisu and Chen, Weizhi (2017). “Crowdfunding Technological Innovations: First Impression Matters!” 2017 AMA Winter Marketing Academic Conference.

  • Zhang, Haisu and Chen, Weizhi (2017). “Crowdfunding Technological Innovations: Consumer Benefits as First Impression” 2017 PDMA Annual Global Conference on Product Innovation Management.

  • Zhao, Shuai, Wang, Chong, Kalra, Achir, Vaks, Leon, Borcea, Cristian, and Chen, Yi (2017). Ad blocking and counter-ad blocking: analysis of online ad blocker usage. The Annual Americas Conference on Information Systems (AMCIS).

2016

  • Zhang, Haisu and Chen, Weizhi (2016), “An Intrinsic Motivation Perspective of Crowdfunding” 2016 JPIM Research Forum Powered by PDMA.