Liang Qiu

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About

Liang Qiu is a researcher advancing the frontiers of socially aware artificial intelligence, with a primary focus on natural language processing, dialogue systems, and computational social cognition. His most notable contribution is the development of **SocAoG (Social And-or Graph)**, a pioneering framework for incremental graph parsing that infers complex social relations from conversational dialogues. By modeling social networks as structured And-or Graphs, Qiu’s work enables emotionally intelligent robots and AI systems to not only interpret human language but also understand the nuanced, often implicit relationships between speakers—such as hierarchy, intimacy, or group dynamics—based on dialogue context and speaker attributes. This approach has been cited over a dozen times and is recognized for bridging structured knowledge representation with real-time social reasoning, a critical step toward more human-like machine interaction. Qiu’s research sits at the intersection of computational linguistics, social network analysis, and cognitive systems, offering a principled method for machines to navigate the subtle social cues that underpin human communication. His work is particularly influential for researchers building empathetic conversational agents, social robotics, and dialogue-based user modeling systems.