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. students at the Tuchman School of Management are accomplished and quickly emerging as well recognized peers in their respective fields of study.
Forthcoming
2022
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.
2019
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.