Papers by Junyan Cheng
Multimodal Phased Transformer for Sentiment Analysis (2021.emnlp-main)
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| Challenge: | Existing methods to model multimodal sentiment analysis are limited due to their complexity and memory footprint. |
| Approach: | They propose a multimodal Sparse Phased Transformer to reduce self-attention complexity and memory footprint. |
| Outcome: | The proposed method achieves comparable or superior performance with a 90% reduction in the number of parameters. |
Apeiron: A Scalable LLM-agentic Framework for Autonomous Full-lifecycle Demand-optimized Application Synthesis (2026.findings-acl)
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| Challenge: | Traditional, rigid, 'one-size-fits-all' apps are struggling in the contemporary landscape. |
| Approach: | They propose a scalable and extensible framework for addressing *amorphous* user demands through autonomous, full-lifecycle application synthesis. |
| Outcome: | The proposed framework outperforms baselines in CUA ratings and user-demand task scores across 300 app scenarios, 2,400 personas, and 46,338 demands. |