Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract
Concepts Yingtao Tian, David Ha
In the Proceedings of the The 11th International Conference on Artificial Intelligence in Music,
Sound, Art and Design (EvoMUSART) 2022.
Machine Learning for Creativity and Design Workshop, NeurIPS 2021
Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation Yingtao
Tian, Tarin Clanuwat, Chikahiko Suzuki, Asanobu Kitamoto
In the Proceedings of the Eleventh International Conference on Computational Creativity, ICCC’21
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset Yingtao Tian, Chikahiko
Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto
In the Proceedings of the Eleventh International Conference on Computational Creativity, ICCC’20
A Transfer-Learnable Natural Language Interface for Databases Wenlu Wang, Yingtao
Tian, Haixun Wang, Wei-Shinn Ku
In the Proceedings of the IEEE International Conference on Data Engineering (ICDE) 2020
Learning to Represent Bilingual Dictionaries Muhao Chen*, Yingtao Tian*, Haochen Chen,
Kai-Wei Chang, Steven Skiena, Carlo Zaniolo (* Equal Contribution)
In the Proceedings of the IEEE International Conference on Data Engineering (ICDE) 2020
Enhanced Network Embeddings via Exploiting Edge Attributes Haochen Chen, Xiaofei
Sun, Yingtao Tian, Muhao Chen, Bryan Perozzi and Steven Skiena
In Proceedings of the International Conference on Information and Knowledge Management (CIKM)
2018
Social Relation Inference via Label Propagation Yingtao Tian, Haochen Chen, Bryan Per-
ozzi, Muhao Chen, Xiaofei Sun and Steven Skiena
In the proceeding of the 41st European Conference on Information Retrieval (ECIR 2019)
DeepAnnotator: Genome Annotation with Deep Learning, Mohammad Ruhul Amin,
Alisa Yurovsky, Yingtao Tian, Steven Skiena
In Proceedings of the 9th ACM Conference on Bioinformatics, Computational Biology, and Health
Informatics (ACM BCB-2018)
Simple Neologism Based Domain Independent Models to Predict Year of Authorship
Vivek Kulkarni, Yingtao Tian, Parth Dandiwala, Steven Skiena
In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018)
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-
lingual Entity Alignment Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo
Zaniolo
In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), IJ-
CAI/AAAI Press 2018.
Syntax-Directed Variational Autoencoder for Structured Data Hanjun Dai*, Yingtao
Tian* , Bo Dai , Steven Skiena, Le Song (* Equal Contribution)
In Proceedings of the International Conference on Learning Representations (ICLR), 2018.
Best Paper Award, NIPS 2017 workshop for Machine Learning for Molecules and Materials.
Embedding-based Relation Prediction for Ontology Population Muhao Chen, Yingtao
Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo
In Proceedings of the 17th SIAM International Conference on Data Mining (SDM), SIAM 2018.