https://www.fox.temple.edu/directory/xue-bai-tuj91380
Bai, X., Marsden, J., Ross, W., & Wang, G. (2020). A note on the impact of daily deals on local retailers’ online reputation: Mediation effects of the consumer experience.
https://cis.temple.edu/~yu/
Conference TPC: IEEE InfoCom 2008-25, ACM MobiHoc 2014, WWW 2018, IEEE ICDCS 2015, IEEE IPDPS 2016/2020, IEEE ICC 2019-23/25, etc. Reviewer/Panelist: US NSF, US NASA, US DOE, NSERC (Canada), RGC (Hong Kong), SNSF (Switzerland), CONICYT (Chile), AAAS, etc.
https://www.temple.edu/directory/ravi-s-kudesia-tuk47034
Kudesia, R., Lang, T., & Reb, J. (2020). How institutions enhance mindfulness: Interactions between external regulators and front-line operators around safety rules.
https://community.mis.temple.edu/guohoushan/
Guohou Shan, Zhe Deng, Konstantin Bauman, and Qian Sun (2020). “Student Depression Detection: An Attention-based Bi-LSTM Approach Using Online and Offline Behavior Data”.
https://sites.temple.edu/trail/publications/
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2020. [PDF] [DOI] Jun Chen and Philip Dames. “Distributed Multi-Target Search and Tracking Using a Coordinated Team of Ground and Aerial Robots.” Workshop on Heterogeneous Multi-Robot Task Allocation and Coordination at Robotics: Science and Systems (RSS). 2020 ...
https://cis.temple.edu/~souvenir/index.php?id=teaching
Offered: Fall 2019, Fall 2020 CIS 5603: Artificial Intelligence Graduate level course that covers classic and modern AI topics such as search, reasoning, knowledge representation, and learning. Offered: Spring 2019 CIS 4526: Foundations of Machine Learning Undergraduate level course in general machine learning topics. Offered: Fall 2018, Fall 2021
https://cis.temple.edu/~boji/
My group will be moving to Department of Computer Science at Virginia Tech in Fall 2020. Please visit my new webpage there.
https://www.fox.temple.edu/directory/xueming-luo-tuf35198
Tae, C., Luo, X., & Lin, Z. (2020). Capacity-constrained entrepreneurs and their product portfolio size: The response to a platform design change on a Chinese sharing economy platform.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
Federated learning is vulnerable to attacks that skew local data or update models, such as backdoor [Bagdasaryan et al., 2020] and trim [Fang et al., 2020] attacks, affecting the accu-racy and reliability of the model.
https://cis.temple.edu/~tuf80213/wordpress/wp-content/uploads/Karl_Morris_CV.pdf
Morris, Karl ; Giovannetti, Tania; Lehman, Sarah, “Towards The Use of Smart Home Sensor Networks to Generate Predictive Activity Models” in 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), pages 406-411, July 2020.