Tian Tian

Orcid: 0000-0001-5625-215X

Affiliations:
  • RealAI, Beijing, China
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (PhD 2018)


According to our database1, Tian Tian authored at least 13 papers between 1995 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2020
Dynamic Window-level Granger Causality of Multi-channel Time Series.
CoRR, 2020

VFlow: More Expressive Generative Flows with Variational Data Augmentation.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Max-Margin Majority Voting for Learning from Crowds.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018
Semi-crowdsourced Clustering with Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Attack on Graph Structured Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

Selective Verification Strategy for Learning From Crowds.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning Attributes from the Crowdsourced Relative Labels.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Jointly Modeling Topics and Intents with Global Order Structure.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Crowd Fraud Detection in Internet Advertising.
Proceedings of the 24th International Conference on World Wide Web, 2015

Uncovering the Latent Structures of Crowd Labeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Max-Margin Majority Voting for Learning from Crowds.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

1995
An artificial neural network-based expert system for network topological error identification.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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