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Zheng Yin

2 accepted papers

2026

Spatiotemporal-Untrammelled Mixture of Experts for Multi-Person Motion Prediction

AAAI 2026technical

Comprehensively and flexibly capturing the complex spatio-temporal dependencies of human motion is critical for multi-person motion prediction. Existing methods grapple with two primary limitations: i) Inflexible spatiotemporal representation due to reliance on positional encodings for capturing spa

Cited by 0SourcePDFScholar
2022

CORN: Co-Reasoning Network for Commonsense Question Answering

COLING 2022main

Commonsense question answering (QA) requires machines to utilize the QA content and external commonsense knowledge graph (KG) for reasoning when answering questions. Existing work uses two independent modules to model the QA contextual text representation and relationships between QA entities in KG,…

Cited by 10SourcePDFScholar