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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j7]Tianyi Luo
, Duo Xu, Zhidong Cao, Pengfei Zhao, Jiaojiao Wang, Qingpeng Zhang:
Modeling the Coupling Propagation of Information, Behavior, and Disease in Multilayer Heterogeneous Networks. IEEE Trans. Comput. Soc. Syst. 11(3): 4058-4070 (2024)- 2023
- [j6]Bingjie Liu, Lewen Wei, Mu Wu, Tianyi Luo:
Speech production under uncertainty: how do job applicants experience and communicate with an AI interviewer? J. Comput. Mediat. Commun. 28(4) (2023) - [j5]Tianyi Luo, Yang Liu:
Machine truth serum: a surprisingly popular approach to improving ensemble methods. Mach. Learn. 112(3): 789-815 (2023) - [j4]Ming Liu, Tianyi Luo, Lixian Zhang, Xibin Cao, Guangren Duan:
An Adjustable Feature-Weighted Bayesian Model for Hybrid Satellite Telemetry Variables Anomaly Detection Under Multioperating Conditions. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c12]Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu:
To Aggregate or Not? Learning with Separate Noisy Labels. CSW@WSDM 2023: 8-43 - [c11]Chunmiao Yu, Zhidong Cao, Pengfei Zhao, Daniel Dajun Zeng, Tianyi Luo, Jiaojiao Wang:
Named Entity Recognition for Epidemiological Investigation in COVID-19. ISI 2023: 1-6 - [c10]Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu:
To Aggregate or Not? Learning with Separate Noisy Labels. KDD 2023: 2523-2535 - 2022
- [b1]Tianyi Luo:
Several Studies of Weakly Supervised Learning in Text Classification. University of California, Santa Cruz, USA, 2022 - [j3]Tianyi Luo, Ming Liu, Haotian Zhao, Guangren Duan, Xibin Cao:
Data-driven fault monitoring for spacecraft control moment gyro with slice residual attention network. J. Frankl. Inst. 359(16): 9313-9333 (2022) - [j2]Tianyi Luo, Zhidong Cao, Daniel Zeng, Qingpeng Zhang:
A Dissemination Model Based on Psychological Theories in Complex Social Networks. IEEE Trans. Cogn. Dev. Syst. 14(2): 519-531 (2022) - [j1]Tianyi Luo, Zhidong Cao, Yuejiao Wang, Daniel Zeng, Qingpeng Zhang:
Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model. IEEE Trans Autom. Sci. Eng. 19(2): 576-585 (2022) - [c9]Tianyi Luo, Rui Meng, Xin Wang, Yang Liu:
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking. ACL (Findings) 2022: 3864-3876 - [c8]Zhaowei Zhu, Tianyi Luo, Yang Liu:
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. ICLR 2022 - [i9]Rui Meng, Tianyi Luo, Kristofer E. Bouchard:
Compressed Predictive Information Coding. CoRR abs/2203.02051 (2022) - [i8]Tianyi Luo, Rui Meng, Xin Eric Wang, Yang Liu:
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking. CoRR abs/2203.14474 (2022) - [i7]Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu:
To Aggregate or Not? Learning with Separate Noisy Labels. CoRR abs/2206.07181 (2022) - 2021
- [c7]Tianyi Luo, Zhidong Cao, Pengfei Zhao, Daniel Dajun Zeng, Qingpeng Zhang:
Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model. ISI 2021: 1-6 - [i6]Zhaowei Zhu, Tianyi Luo, Yang Liu:
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. CoRR abs/2110.06282 (2021) - 2020
- [c6]Tianyi Luo, Xingyu Li, Hainan Wang, Yang Liu:
Research Replication Prediction Using Weakly Supervised Learning. EMNLP (Findings) 2020: 1464-1474
2010 – 2019
- 2019
- [c5]Tianyi Luo, Zhidong Cao, Daniel Zeng:
Research on Information Dissemination of Public Health Events Based on WeChat: A Case Study of Avian Influenza. ISI 2019: 221 - [i5]Tianyi Luo, Yang Liu:
Machine Truth Serum. CoRR abs/1909.13004 (2019) - 2016
- [c4]Qixin Wang, Tianyi Luo, Dong Wang:
Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test. BICS 2016: 34-46 - [c3]Qixin Wang, Tianyi Luo, Dong Wang, Chao Xing:
Chinese Song Iambics Generation with Neural Attention-Based Model. IJCAI 2016: 2943-2949 - [c2]Dongxu Zhang, Tianyi Luo, Dong Wang:
Learning from LDA Using Deep Neural Networks. NLPCC/ICCPOL 2016: 657-664 - [i4]Qixin Wang, Tianyi Luo, Dong Wang, Chao Xing:
Chinese Song Iambics Generation with Neural Attention-based Model. CoRR abs/1604.06274 (2016) - [i3]Qixin Wang, Tianyi Luo, Dong Wang:
Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test. CoRR abs/1606.05829 (2016) - 2015
- [c1]Tianyi Luo, Dong Wang, Rong Liu, Yiqiao Pan:
Stochastic Top-k ListNet. EMNLP 2015: 676-684 - [i2]Dongxu Zhang, Tianyi Luo, Dong Wang, Rong Liu:
Learning from LDA using Deep Neural Networks. CoRR abs/1508.01011 (2015) - [i1]Tianyi Luo, Dong Wang, Rong Liu, Yiqiao Pan:
Stochastic Top-k ListNet. CoRR abs/1511.00271 (2015)
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