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Yingtao Tian
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2020 – today
- 2024
- [c26]Robert T. Lange, Yingtao Tian, Yujin Tang:
Evolution Transformer: In-Context Evolutionary Optimization. GECCO Companion 2024: 575-578 - [c25]Robert T. Lange, Yingtao Tian, Yujin Tang:
Large Language Models As Evolution Strategies. GECCO Companion 2024: 579-582 - [c24]Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen:
Position: Leverage Foundational Models for Black-Box Optimization. ICML 2024 - [i29]Robert Tjarko Lange, Yingtao Tian, Yujin Tang:
Large Language Models As Evolution Strategies. CoRR abs/2402.18381 (2024) - [i28]Robert Tjarko Lange, Yingtao Tian, Yujin Tang:
Evolution Transformer: In-Context Evolutionary Optimization. CoRR abs/2403.02985 (2024) - [i27]Yingtao Tian:
DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation. CoRR abs/2404.05212 (2024) - [i26]Faraz Faruqi, Yingtao Tian, Vrushank Phadnis, Varun Jampani, Stefanie Mueller:
Shaping Realities: Enhancing 3D Generative AI with Fabrication Constraints. CoRR abs/2404.10142 (2024) - [i25]Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen:
Position: Leverage Foundational Models for Black-Box Optimization. CoRR abs/2405.03547 (2024) - 2023
- [j1]Yi Yin, Yingtao Tian, Jialuo Ding, Tim Mitchell, Jian Qin:
Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling. Sensors 23(21): 8687 (2023) - [c23]You-Jun Chen, Hsin-Yi Hsieh, Yu Lin, Yingtao Tian, Bert Chan, Yu-Sin Liu, Yi-Hsuan Lin, Richard Tzong-Han Tsai:
MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework. EMNLP 2023: 4380-4401 - [c22]Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko:
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. IJCAI 2023: 4289-4298 - [c21]Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat:
Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones. NeurIPS 2023 - [c20]Robert Tjarko Lange, Yujin Tang, Yingtao Tian:
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. NeurIPS 2023 - [i24]Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko:
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. CoRR abs/2304.10770 (2023) - [i23]Yingtao Tian:
Evolving Three Dimension (3D) Abstract Art: Fitting Concepts by Language. CoRR abs/2304.12932 (2023) - [i22]Robert Tjarko Lange, Yujin Tang, Yingtao Tian:
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. CoRR abs/2311.02394 (2023) - [i21]Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat:
Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones. CoRR abs/2311.02665 (2023) - 2022
- [c19]Yingtao Tian, David Ha:
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts. EvoMUSART 2022: 275-291 - [c18]Yujin Tang, Yingtao Tian, David Ha:
EvoJAX: hardware-accelerated neuroevolution. GECCO Companion 2022: 308-311 - [c17]Yingtao Tian, Marco Cuturi, David Ha:
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport. ICCC 2022: 324-332 - [i20]Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul:
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein. CoRR abs/2201.12324 (2022) - [i19]Yujin Tang, Yingtao Tian, David Ha:
EvoJAX: Hardware-Accelerated Neuroevolution. CoRR abs/2202.05008 (2022) - [i18]Yingtao Tian, Marco Cuturi, David Ha:
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport. CoRR abs/2204.08472 (2022) - 2021
- [c16]Yingtao Tian, Tarin Clanuwat, Chikahiko Suzuki, Asanobu Kitamoto:
Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation. ICCC 2021: 300-308 - [c15]Yi Yin, Vitalijs Jefimovs, Tim Mitchell, Andrew Kennedy, Darren Williams, Yingtao Tian:
Numerical Modelling of Electron Beam Welding of Pure Niobium with Beam Oscillation: Towards Industry 4.0. ICAC 2021: 1-6 - [i17]Yingtao Tian, Tarin Clanuwat, Chikahiko Suzuki, Asanobu Kitamoto:
Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation. CoRR abs/2106.02267 (2021) - [i16]Yingtao Tian, David Ha:
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts. CoRR abs/2109.08857 (2021) - 2020
- [c14]Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto:
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset. ICCC 2020: 415-422 - [c13]Wenlu Wang, Yingtao Tian, Haixun Wang, Wei-Shinn Ku:
A Natural Language Interface for Database: Achieving Transfer-learnability Using Adversarial Method for Question Understanding. ICDE 2020: 97-108 - [i15]Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto:
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset. CoRR abs/2002.08595 (2020) - [i14]Stefan Postavaru, Anton Tsitsulin, Filipe Miguel Gonçalves de Almeida, Yingtao Tian, Silvio Lattanzi, Bryan Perozzi:
InstantEmbedding: Efficient Local Node Representations. CoRR abs/2010.06992 (2020)
2010 – 2019
- 2019
- [c12]Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena:
Fast and Accurate Network Embeddings via Very Sparse Random Projection. CIKM 2019: 399-408 - [c11]Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Learning to Represent Bilingual Dictionaries. CoNLL 2019: 152-162 - [c10]Yingtao Tian, Haochen Chen, Bryan Perozzi, Muhao Chen, Xiaofei Sun, Steven Skiena:
Social Relation Inference via Label Propagation. ECIR (1) 2019: 739-746 - [c9]Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang:
SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension. SIGSPATIAL/GIS 2019: 339-348 - [c8]Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang:
Learning Bilingual Word Embeddings Using Lexical Definitions. RepL4NLP@ACL 2019: 142-147 - [i13]Yingtao Tian, Jesse H. Engel:
Latent Translation: Crossing Modalities by Bridging Generative Models. CoRR abs/1902.08261 (2019) - [i12]Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang:
Learning Bilingual Word Embeddings Using Lexical Definitions. CoRR abs/1906.08939 (2019) - [i11]Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang:
SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension. CoRR abs/1908.10917 (2019) - [i10]Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena:
Fast and Accurate Network Embeddings via Very Sparse Random Projection. CoRR abs/1908.11512 (2019) - 2018
- [c7]Mohammad Ruhul Amin, Alisa Yurovsky, Yingtao Tian, Steven Skiena:
DeepAnnotator: Genome Annotation with Deep Learning. BCB 2018: 254-259 - [c6]Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen, Steven Skiena:
Enhanced Network Embeddings via Exploiting Edge Labels. CIKM 2018: 1579-1582 - [c5]Vivek Kulkarni, Yingtao Tian, Parth Dandiwala, Steven Skiena:
Simple Neologism Based Domain Independent Models to Predict Year of Authorship. COLING 2018: 202-212 - [c4]Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song:
Syntax-Directed Variational Autoencoder for Structured Data. ICLR (Poster) 2018 - [c3]Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. IJCAI 2018: 3998-4004 - [c2]Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo:
On2Vec: Embedding-based Relation Prediction for Ontology Population. SDM 2018: 315-323 - [i9]Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song:
Syntax-Directed Variational Autoencoder for Structured Data. CoRR abs/1802.08786 (2018) - [i8]Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. CoRR abs/1806.06478 (2018) - [i7]Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Learning to Represent Bilingual Dictionaries. CoRR abs/1808.03726 (2018) - [i6]Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo:
On2Vec: Embedding-based Relation Prediction for Ontology Population. CoRR abs/1809.02382 (2018) - [i5]Wenlu Wang, Yingtao Tian, Hongyu Xiong, Haixun Wang, Wei-Shinn Ku:
A Transfer-Learnable Natural Language Interface for Databases. CoRR abs/1809.02649 (2018) - [i4]Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen, Steven Skiena:
Enhanced Network Embeddings via Exploiting Edge Labels. CoRR abs/1809.05124 (2018) - 2017
- [c1]Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo:
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. IJCAI 2017: 1511-1517 - [i3]Yanghua Jin, Jiakai Zhang, Minjun Li, Yingtao Tian, Huachun Zhu, Zhihao Fang:
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks. CoRR abs/1708.05509 (2017) - 2016
- [i2]Yingtao Tian, Vivek Kulkarni, Bryan Perozzi, Steven Skiena:
On the Convergent Properties of Word Embedding Methods. CoRR abs/1605.03956 (2016) - [i1]Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo:
Multi-lingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. CoRR abs/1611.03954 (2016)
Coauthor Index
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last updated on 2024-10-22 20:15 CEST by the dblp team
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