Shaoxiong Ji
Papers
2
Total Citations
277
H-Index
2
About
Shaoxiong Ji is a leading researcher in natural language processing and affective computing, with a primary focus on conversational sentiment analysis. His most impactful contribution is the development of the Bidirectional Emotional Recurrent Unit (BiERU), a novel architecture that models emotional dynamics in dialogue. The 2021 paper on BiERU has garnered over 237 citations, establishing it as a foundational work in the field. Ji’s research addresses the critical challenge of distinguishing sentiment in multi-turn conversations versus isolated sentences, enabling more nuanced applications in recommender systems and human-robot interaction. By integrating emotional state tracking across dialogue history, his work has significantly advanced the accuracy of sentiment detection in real-world conversational contexts. Ji’s contributions have been widely recognized, with his BiERU model serving as a benchmark for subsequent studies. His research continues to shape how machines understand and respond to human emotions in interactive settings.
Research Focus
Key Achievements
Top Papers
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- 2