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'''<span style="font-size:x-large;">Journals</span>'''
'''<span style="font-size:large;">'''9. One for “All”: A unified model for fine-grained sentiment analysis under three tasks 面向网络社交媒体的少样本新冠谣言检测</span>'''<span style="font-size:large;">[[httpshttp://peerjjcip.cipsc.org.comcn/articlesCN/cs-816abstract/ LINK]][[https://githubabstract3255.com/jncsnlp/MEABSA DATAshtml Chinese Version]]</span>
<span style="font-size:large;">'''Lu H陆恒杨''',范晨悠 Yang J *, Hu C, Fang W 和 吴小俊</span>
<span style="font-size:large;">'''陆恒杨Lu H''', 范晨悠 和 吴小俊Yang J *, Hu C, Fang W </span>
'''<span style="font-size:large;">PeerJ Computer Science</span>'''中文信息学报'''<span style="font-size:large;">, 2021, 7: e816.(SCI)</span>
<span style="font-size:large;">'''7. A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media '''[[https://peerj.com/articles/cs-688/ LINK]][[https://github.com/jncsnlp/FSL-Multimodal-Rumor-Detection CODE]]</span>
