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<span style="font-size:large;">I am interested in Multi-modal Data Mining and Natural Language Processing. Currently, I am focusing on the subfields:</span> | <span style="font-size:large;">I am interested in Multi-modal Data Mining and Natural Language Processing. Currently, I am focusing on the subfields:</span> | ||
*<span style="font-size:large;"> | *<span style="font-size:large;">Multimodal Information Processing (OOD/CL/NCL)</span> | ||
*< | *<font size="4">Affective Computing (MER/ERC/MSA)</font> | ||
*<font size="4">Online Social Media Mining</font> | |||
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<span style="font-size:x-large;"><span style="color:#c0392b;">'''Recent New'''</span></span><span style="font-size:large;"><span style="color:#c0392b;">'''s'''</span></span> | <span style="font-size:x-large;"><span style="color:#c0392b;">'''Recent New'''</span></span><span style="font-size:large;"><span style="color:#c0392b;">'''s'''</span></span> | ||
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''' <span style="font-size:x-large;">Conferences</span>''' | ''' <span style="font-size:x-large;">Conferences</span>''' | ||
'''<span style="font-size:large;">26.</span>'''<span style="font-size:large;"> '''Noisy Correspondence Learning with Localized Consistency Mining for Cross-Modal Matching'''</span> | |||
<span style="font-size:large;">'''Lu H''', He J, Chen M, Fang W.</span> | |||
<span style="font-size:large;">In Proceedings of''' ''' ACM MM'''-26'''. Brazil, Rio de Janeiro, 2026. (CCF-A)</span> | |||
'''<span style="font-size:large;">25.</span>'''<span style="font-size:large;"> '''Prototype-as-Prompt: Multimodal Sentiment Prototypes Endowing Large Language Models the Capability to Perform Multimodal Sentiment Analysis'''[[https://openaccess.thecvf.com/content/CVPR2026/papers/Zhao_Prototype-as-Prompt_Multimodal_Sentiment_Prototypes_Endowing_Large_Language_Models_the_Capability_CVPR_2026_paper.pdf PDF]]</span> | '''<span style="font-size:large;">25.</span>'''<span style="font-size:large;"> '''Prototype-as-Prompt: Multimodal Sentiment Prototypes Endowing Large Language Models the Capability to Perform Multimodal Sentiment Analysis'''[[https://openaccess.thecvf.com/content/CVPR2026/papers/Zhao_Prototype-as-Prompt_Multimodal_Sentiment_Prototypes_Endowing_Large_Language_Models_the_Capability_CVPR_2026_paper.pdf PDF]]</span> | ||
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'''<span style="font-size:x-large;">Journals</span>''' | '''<span style="font-size:x-large;">Journals</span>''' | ||
'''<span style="font-size:large;">35.</span>''''' ''<span style="font-size:large;">'''RePD: Reliable Pseudo-label Construction and Dynamic Inference for Transductive Zero-shot Aspect-based Sentiment Quadruple Prediction'''</span> | |||
<span style="font-size:large;">'''Lu H''', Jiang Y, Liu T, Fang W, Wang C.</span> | |||
<span style="font-size:large;">'''IEEE Transactions on Affective Computing''', 2026. (SCI, CCF B)</span> | |||
'''<span style="font-size:large;">34.</span>''''' ''<span style="font-size:large;">'''IMPERIAL: An Implicit Personality Enhanced Hierarchical LLM Framework for Emotion Recognition in Conversation'''[[https://ieeexplore.ieee.org/abstract/document/11593162 PDF]][[https://github.com/jncsnlp/IMPERIAL CODE]]</span> | '''<span style="font-size:large;">34.</span>''''' ''<span style="font-size:large;">'''IMPERIAL: An Implicit Personality Enhanced Hierarchical LLM Framework for Emotion Recognition in Conversation'''[[https://ieeexplore.ieee.org/abstract/document/11593162 PDF]][[https://github.com/jncsnlp/IMPERIAL CODE]]</span> | ||