Yingtao Tian

According to our database, Yingtao Tian authored at least 34 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Evolution Transformer: In-Context Evolutionary Optimization.

Robert Tjarko Lange, Yingtao Tian, Yujin Tang

CoRR, 2024

Large Language Models As Evolution Strategies.

Robert Tjarko Lange, Yingtao Tian, Yujin Tang

CoRR, 2024

2023

Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling.

Yi Yin, Yingtao Tian, Jialuo Ding, Tim Mitchell, Jian Qin

Sensors, October, 2023

Evolving Three Dimension (3D) Abstract Art: Fitting Concepts by Language.

Yingtao Tian

CoRR, 2023

NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications.

Robert Tjarko Lange, Yujin Tang, Yingtao Tian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones.

Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards.

Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework.

You-Jun Chen, Hsin-Yi Hsieh, Yu Lin, Yingtao Tian, Bert Chan, Yu-Sin Liu, Yi-Hsuan Lin, Richard Tzong-Han Tsai

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein.

Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul

CoRR, 2022

Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport.

Yingtao Tian, Marco Cuturi, David Ha

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

EvoJAX: hardware-accelerated neuroevolution.

Yujin Tang, Yingtao Tian, David Ha

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts.

Yingtao Tian, David Ha

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2022

2021

Numerical Modelling of Electron Beam Welding of Pure Niobium with Beam Oscillation: Towards Industry 4.0.

Yi Yin, Vitalijs Jefimovs, Tim Mitchell, Andrew Kennedy, Darren Williams, Yingtao Tian

Proceedings of the 26th International Conference on Automation and Computing, 2021

Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation.

Yingtao Tian, Tarin Clanuwat, Chikahiko Suzuki, Asanobu Kitamoto

Proceedings of the Twelfth International Conference on Computational Creativity, 2021

2020

InstantEmbedding: Efficient Local Node Representations.

Stefan Postavaru, Anton Tsitsulin, Filipe Miguel Gonçalves de Almeida, Yingtao Tian, Silvio Lattanzi, Bryan Perozzi

CoRR, 2020

A Natural Language Interface for Database: Achieving Transfer-learnability Using Adversarial Method for Question Understanding.

Wenlu Wang, Yingtao Tian, Haixun Wang, Wei-Shinn Ku

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

KaoKore: A Pre-modern Japanese Art Facial Expression Dataset.

Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

2019

Latent Translation: Crossing Modalities by Bridging Generative Models.

Yingtao Tian, Jesse H. Engel

CoRR, 2019

Learning Bilingual Word Embeddings Using Lexical Definitions.

Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension.

Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Social Relation Inference via Label Propagation.

Yingtao Tian, Haochen Chen, Bryan Perozzi, Muhao Chen, Xiaofei Sun, Steven Skiena

Proceedings of the Advances in Information Retrieval, 2019

Learning to Represent Bilingual Dictionaries.

Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Fast and Accurate Network Embeddings via Very Sparse Random Projection.

Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Transfer-Learnable Natural Language Interface for Databases.

Wenlu Wang, Yingtao Tian, Hongyu Xiong, Haixun Wang, Wei-Shinn Ku

CoRR, 2018

On2Vec: Embedding-based Relation Prediction for Ontology Population.

Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo

Proceedings of the 2018 SIAM International Conference on Data Mining, 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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Syntax-Directed Variational Autoencoder for Structured Data.

Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song

Proceedings of the 6th International Conference on Learning Representations, 2018

Simple Neologism Based Domain Independent Models to Predict Year of Authorship.

Vivek Kulkarni, Yingtao Tian, Parth Dandiwala, Steven Skiena

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Enhanced Network Embeddings via Exploiting Edge Labels.

Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen, Steven Skiena

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

DeepAnnotator: Genome Annotation with Deep Learning.

Mohammad Ruhul Amin, Alisa Yurovsky, Yingtao Tian, Steven Skiena

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks.

Yanghua Jin, Jiakai Zhang, Minjun Li, Yingtao Tian, Huachun Zhu, Zhihao Fang

CoRR, 2017

Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment.

Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

On the Convergent Properties of Word Embedding Methods.

Yingtao Tian, Vivek Kulkarni, Bryan Perozzi, Steven Skiena

CoRR, 2016

Multi-lingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment.

Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo

CoRR, 2016