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2020 – today
- 2023
[j7]Yinan Shao
, Jerry Chun-Wei Lin, Gautam Srivastava, Dongdong Guo, Hongchun Zhang, Hu Yi, Alireza Jolfaei:
Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2133-2143 (2023)- 2021
- [j6]Jerry Chun-Wei Lin, Yinan Shao, Youcef Djenouri, Unil Yun:
ASRNN: A recurrent neural network with an attention model for sequence labeling. Knowl. Based Syst. 212: 106548 (2021) - [j5]Yinan Shao, Jerry Chun-Wei Lin, Gautam Srivastava, Alireza Jolfaei, Dongdong Guo, Yi Hu:
Self-attention-based conditional random fields latent variables model for sequence labeling. Pattern Recognit. Lett. 145: 157-164 (2021) - 2020
- [j4]Jerry Chun-Wei Lin, Yinan Shao, Ji Zhang, Unil Yun:
Enhanced sequence labeling based on latent variable conditional random fields. Neurocomputing 403: 431-440 (2020)
2010 – 2019
- 2019
- [j3]Jerry Chun-Wei Lin, Yinan Shao, Yujie Zhou, Matin Pirouz, Hsing-Chung Chen:
A Bi-LSTM mention hypergraph model with encoding schema for mention extraction. Eng. Appl. Artif. Intell. 85: 175-181 (2019) - [j2]Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Hamido Fujita:
BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction. Inf. Sci. 496: 53-64 (2019) - [c5]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Yinan Shao, Matin Pirouz, Binbin Zhang:
An Effective BI-encoded Schema for Mention Extraction. MISNC 2019: 56-67 - [c4]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Yinan Shao, Matin Pirouz, Binbin Zhang:
A Latent Variable CRF Model for Labeling Prediction. MISNC 2019: 68-78 - 2018
- [j1]Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Youcef Djenouri, Xiangmin Guo:
Maintenance algorithm for high average-utility itemsets with transaction deletion. Appl. Intell. 48(10): 3691-3706 (2018) - [c3]Yujie Zhou, Yinan Shao, Yong Zhou:
Chinese Grammatical Error Diagnosis Based on CRF and LSTM-CRF model. NLP-TEA@ACL 2018: 165-171 - 2017
- [c2]Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel:
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. ICANN (1) 2017: 273-280 - [c1]Tsu-Yang Wu, Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Tzung-Pei Hong:
Updating the Discovered High Average-Utility Patterns with Transaction Insertion. ICGEC 2017: 66-73 - [i1]Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel:
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. CoRR abs/1711.01343 (2017)
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