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Yunxiao Zhou
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2020 – today
- 2024
- [c8]Yunxiao Zhou, Shengli Liu, Shuai Han:
Multi-hop Fine-Grained Proxy Re-encryption. Public Key Cryptography (4) 2024: 161-192 - [i2]Yunxiao Zhou, Shengli Liu, Shuai Han:
Multi-Hop Fine-Grained Proxy Re-Encryption. IACR Cryptol. ePrint Arch. 2024: 55 (2024) - 2023
- [j1]Rujin Deng, Xingjun Ge, Fangchao Dang, Baoliang Qian, Lei Wang, Fuxiang Yang, Yunxiao Zhou:
Improved Power Capacity in a Low-Magnetic Field and High-Efficiency Transit-Time Oscillator by a Double-Gap Extractor. IEEE Access 11: 18442-18447 (2023) - [c7]Yunxiao Zhou, Shengli Liu, Shuai Han, Haibin Zhang:
Fine-Grained Proxy Re-encryption: Definitions and Constructions from LWE. ASIACRYPT (6) 2023: 199-231 - [i1]Yunxiao Zhou, Shengli Liu, Shuai Han, Haibin Zhang:
Fine-Grained Proxy Re-Encryption: Definitions & Constructions from LWE. IACR Cryptol. ePrint Arch. 2023: 1324 (2023)
2010 – 2019
- 2019
- [c6]Yunxiao Zhou, Man Lan, Wenting Wang:
Hierarchical Intention Enhanced Network for Automatic Dialogue Coherence Assessment. IJCNN 2019: 1-8 - 2018
- [c5]Yunxiao Zhou, Man Lan, Yuanbin Wu:
ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection. SemEval@NAACL-HLT 2018: 999-1002 - 2017
- [c4]Yunxiao Zhou, Man Lan, Yuanbin Wu:
Effective Semantic Relationship Classification of Context-Free Chinese Words with Simple Surface and Embedding Features. NLPCC 2017: 456-464 - [c3]Yunxiao Zhou, Man Lan, Yuanbin Wu:
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification. SemEval@ACL 2017: 812-816 - 2016
- [c2]Feixiang Wang, Yunxiao Zhou, Man Lan:
Dimensional sentiment analysis of traditional Chinese words using pre-trained Not-quite-right Sentiment Word Vectors and supervised ensemble models. IALP 2016: 300-303 - [c1]Yunxiao Zhou, Zhihua Zhang, Man Lan:
ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2016: 256-261
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last updated on 2024-05-19 00:14 CEST by the dblp team
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