Zhiwei Wang

Affiliations:
  • Michigan State University, Data Science and Engineering Lab, East Lansing, MI, USA


According to our database1, Zhiwei Wang authored at least 15 papers between 2017 and 2021.

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

Timeline

Legend:

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Links

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Bibliography

2021
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Link and interaction polarity predictions in signed networks.
Soc. Netw. Anal. Min., 2020

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models.
CoRR, 2020

Sequence Learning with Side Dependencies.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Siamese Neural Networks for Class Activity Detection.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Learning Multi-Level Dependencies for Robust Word Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
R-Transformer: Recurrent Neural Network Enhanced Transformer.
CoRR, 2019

Recommender Systems with Heterogeneous Side Information.
Proceedings of the World Wide Web Conference, 2019

Weight Loss Prediction in Social-Temporal Context.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Deep Knowledge Tracing with Side Information.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

Automatic Short Answer Grading via Multiway Attention Networks.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Linked Recurrent Neural Networks.
CoRR, 2018

Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Predicting Weight Loss with Enemble Methods.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Understanding and Predicting Weight Loss with Mobile Social Networking Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


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