Shanshan Zhang

Affiliations:
  • Temple University, Department of Computer and Information Sciences, Philadelphia, PA, USA


According to our database1, Shanshan Zhang authored at least 11 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2020
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Peer assessment of CS doctoral programs shows strong correlation with faculty citations.
Commun. ACM, 2018

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Enhancing Disaster Situational Awareness via Automated Summary Dissemination of Social Media Content.
Proceedings of the IEEE Global Communications Conference, 2018

Regular Expression Guided Entity Mention Mining from Noisy Web Data.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs.
CoRR, 2017

Disaster Network Evolution Using Dynamic Clustering of Twitter Data.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

2016
Semi-supervised Discovery of Informative Tweets During the Emerging Disasters.
CoRR, 2016

Sampling Bias in LinkedIn: A Case Study.
Proceedings of the 25th International Conference on World Wide Web, 2016

Joint Learning of Representation and Structure for Sparse Regression on Graphs.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016


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