Luhy：修订间差异

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'''Journals'''

'''26.'''''  '''''R''''''umor detection for emergency events via few-shot ensembled prompt learning'''[[https://link.springer.com/article/10.1007/s10844-025-00944-6 PDF]]

'''27.'''''  '''''R''''''umor detection for emergency events via few-shot ensembled prompt learning'''[[https://link.springer.com/article/10.1007/s10844-025-00944-6 PDF]]

Su C, Zhou J, Jiang Z, Zhu S, Li C, Fang W, '''Lu H'''.

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'''Journal of Intelligent Information Systems''', 2025. (SCI, CCF C)

'''25. MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection'''[[https://www.sciencedirect.com/science/article/pii/S0893608025003065 PDF]]

'''26. MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection'''[[https://www.sciencedirect.com/science/article/pii/S0893608025003065 PDF]]

'''Lu H''', Guo X, Jiang W, Fan C, Du Y, Shao Z, Fang W, Wu X.

第212行：

'''Neural Networks''', 2025, 188, 107427. (SCI, CCF B)

'''24. A novel efficient bi-objective evolutionary algorithm for frequent and high utility itemsets mining'''[[https://link.springer.com/article/10.1007/s12293-025-00437-7 PDF]]

'''25. A novel efficient bi-objective evolutionary algorithm for frequent and high utility itemsets mining'''[[https://link.springer.com/article/10.1007/s12293-025-00437-7 PDF]]

Ma L, Li C, '''Lu H''', Fang W, Lin J.

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'''Memetic Computing''', 2025, 117(4). (SCI)

'''23. ''''''K'''nowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives[[https://www.sciencedirect.com/science/article/abs/pii/S0950705125000577?via=ihub PDF]][[https://github.com/jncsnlp/KG-Prompt CODE]]

'''24. ''''''K'''nowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives[[https://www.sciencedirect.com/science/article/abs/pii/S0950705125000577?via=ihub PDF]][[https://github.com/jncsnlp/KG-Prompt CODE]]

'''Lu H''', Lin L, Fan C, Wang C, Fang W, Wu X.

'''Knowledge based Systems''', 2025, 310, 113009. (SCI, CCF C)

'''23. '''Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation[[https://www.sciencedirect.com/science/article/pii/S0925231225002267 PDF]][[https://github.com/jncsnlp/LiVaS CODE]]

'''Lu H''', Zhang J, Du Y, Xia C, Wang C, Fang W, Wu X.

'''Neurocomputing''', 2025, 626, 129554. (SCI, CCF C)

'''22. '''A novel span-based Knowledge-enhanced framework for aspect sentiment triplet extraction[[https://www.sciencedirect.com/science/article/abs/pii/S0925231224019167?via=ihub PDF]][[https://github.com/jncsnlp/Sken CODE]]

@@ 第200行： / 第200行： @@
 '''<span style="font-size:x-large;">Journals</span>'''
-'''<span style="font-size:large;">26.</span>'''''&nbsp; ''<span style="font-size:large;">'''R'''</span>'''<span style="font-size:large;">umor detection for emergency events via few-shot ensembled prompt learning</span>'''<span style="font-size:large;">[[https://link.springer.com/article/10.1007/s10844-025-00944-6 PDF]]</span>
+'''<span style="font-size:large;">27.</span>'''''&nbsp; ''<span style="font-size:large;">'''R'''</span>'''<span style="font-size:large;">umor detection for emergency events via few-shot ensembled prompt learning</span>'''<span style="font-size:large;">[[https://link.springer.com/article/10.1007/s10844-025-00944-6 PDF]]</span>
 <span style="font-size:large;">Su C, Zhou J, Jiang Z, Zhu S, Li C, Fang W,&nbsp;'''Lu H'''.</span>
@@ 第206行： / 第206行： @@
 <span style="font-size:large;">'''Journal of Intelligent Information Systems''', 2025. (SCI, CCF C)</span>
-'''<span style="font-size:large;">25.&nbsp;MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection</span>'''<span style="font-size:large;">[[https://www.sciencedirect.com/science/article/pii/S0893608025003065 PDF]]</span>
+'''<span style="font-size:large;">26.&nbsp;MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection</span>'''<span style="font-size:large;">[[https://www.sciencedirect.com/science/article/pii/S0893608025003065 PDF]]</span>
 <span style="font-size:large;">'''Lu H''', Guo X, Jiang W, Fan C, Du Y, Shao Z, Fang W, Wu X.</span>
@@ 第212行： / 第212行： @@
 <span style="font-size:large;">'''Neural Networks''', 2025, 188, 107427. (SCI, CCF B)</span>
-'''<span style="font-size:large;">24. A novel efficient bi-objective evolutionary algorithm for frequent and high utility itemsets mining</span>'''<span style="font-size:large;">[[https://link.springer.com/article/10.1007/s12293-025-00437-7 PDF]]</span>
+'''<span style="font-size:large;">25. A novel efficient bi-objective evolutionary algorithm for frequent and high utility itemsets mining</span>'''<span style="font-size:large;">[[https://link.springer.com/article/10.1007/s12293-025-00437-7 PDF]]</span>
 <span style="font-size:large;">Ma L, Li C, '''Lu H''', Fang W, Lin J.</span>
@@ 第218行： / 第218行： @@
 <span style="font-size:large;">'''Memetic Computing''', 2025, 117(4). (SCI)</span>
-'''<span style="font-size:large;">23.&nbsp;</span>'''<span style="font-weight: bold; font-size: large;">'''K'''nowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives</span><span style="font-size:large;">[[https://www.sciencedirect.com/science/article/abs/pii/S0950705125000577?via=ihub PDF]][[https://github.com/jncsnlp/KG-Prompt CODE]]</span>
+'''<span style="font-size:large;">24.&nbsp;</span>'''<span style="font-weight: bold; font-size: large;">'''K'''nowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives</span><span style="font-size:large;">[[https://www.sciencedirect.com/science/article/abs/pii/S0950705125000577?via=ihub PDF]][[https://github.com/jncsnlp/KG-Prompt CODE]]</span>
 <span style="font-size:large;">'''Lu H''', Lin L, Fan C, Wang C,&nbsp;Fang W, Wu X.</span>
 <span style="font-size:large;">'''Knowledge based Systems''', 2025, 310, 113009. (SCI, CCF C)</span>
+'''<span style="font-size:large;">23.&nbsp;</span>'''<span style="font-weight: bold; font-size: large;">Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation</span><span style="font-size:large;">[[https://www.sciencedirect.com/science/article/pii/S0925231225002267 PDF]][[https://github.com/jncsnlp/LiVaS CODE]]</span>
+<span style="font-size:large;">'''Lu H''', Zhang J, Du Y, Xia C, Wang C, Fang W, Wu X.</span>
+<span style="font-size:large;">'''Neurocomputing''', 2025, 626, 129554. (SCI, CCF C)</span>
 '''<span style="font-size:large;">22.&nbsp;</span>'''<span style="font-weight: bold; font-size: large;">A novel span-based Knowledge-enhanced framework for aspect sentiment triplet extraction</span><span style="font-size:large;">[[https://www.sciencedirect.com/science/article/abs/pii/S0925231224019167?via=ihub PDF]][[https://github.com/jncsnlp/Sken CODE]]</span>

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