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Zhiqiao Gao
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2020 – today
- 2023
- [c10]Junxiang He, Bojie Wang, Zhiqiao Gao, Jie Hu, Dan Liu:
Explainable Similar Legal Cases Retrieval Based on Siamese Network. MLNLP 2023: 33-40 - 2022
- [c9]Xuyang Yao, Jie Hu, Ning Liu, Hongming Gu, Zhiqiao Gao, Shunyu Yao:
A Mutual Element-aware Law Article Prediction Model with Label Balancing. CSSE 2022: 456-460 - [c8]Shunyu Yao, Jie Hu, Chuxiong Sun, Zhiqiao Gao, Ning Liu:
Key Phrase Extraction based on Pre-trained Language Models. EITCE 2022: 941-945 - [c7]Shunyu Yao, Jie Hu, Chuxiong Sun, Zhiqiao Gao, Ning Liu:
Heterogeneous Graph Neural Network for Chinese Financial Event Extraction. EITCE 2022: 1822-1827 - [c6]Yuan Cao, Zhiqiao Gao, Jie Hu, Mingchuan Yang, Jinpeng Chen:
Nearest Neighbor Classifier with Margin Penalty for Active Learning. ICONIP (1) 2022: 379-392 - [c5]Yi Xu, Jie Hu, Zhiqiao Gao, Jinpeng Chen:
UCL-AST: Active Self-Training with Uncertainty-Aware Clouded Logits for Few-Shot Text Classification. ICTAI 2022: 1390-1395 - [c4]Liwen Sun, Huaping Wang, Qing Shi, Siyu Guo, Zhiqiao Gao, Tao Sun, Qiang Huang, Toshio Fukuda:
Design of a Miniaturized Magnetic Actuation System for Motion Control of Micro/Nano Swimming Robots. RCAR 2022: 594-599 - [i1]Yuan Cao, Zhiqiao Gao, Jie Hu, Mingchuan Yang:
Nearest Neighbor Classifier with Margin Penalty for Active Learning. CoRR abs/2203.09174 (2022)
2010 – 2019
- 2015
- [j1]Zhiqiao Gao, Lei Li, Liyuan Mao, Dezhu He, Chao Xue:
Content Linking for UGC based on Word Embedding Model. EAI Endorsed Trans. Wirel. Spectr. 1(5): e1 (2015) - [c3]Zhiqiao Gao, Lei Li, Liyuan Mao, Dezhu He, Chao Xue:
Content linking for UGC based on Word Embedding model. QSHINE 2015: 149-154 - 2014
- [c2]Kailun Zhang, Mingyin Wang, Xiaoyue Cong, Fang Huang, Hongfa Xue, Lei Li, Zhiqiao Gao:
Personal Attributes Extraction Based on the Combination of Trigger Words, Dictionary and Rules. CIPS-SIGHAN 2014: 114-119 - [c1]Yu Liu, Lei Li, Shuhong Wan, Zhiqiao Gao:
Research on Chinese multi-document hierarchical topic modeling automatic evaluation methods. CCIS 2014: 444-449
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