Papers by Xiaocong Du
Harmless Transfer Learning for Item Embeddings (2022.findings-naacl)
Copied to clipboard
| Challenge: | Existing approaches to learn item embeddings for categorical features are limited by the frequency of items in real-world. |
| Approach: | They propose a method that transfers knowledge from frequent items to rare items by introducing an auxiliary transfer loss. |
| Outcome: | The proposed framework significantly boosts the performance on a variety of NLP and recommendation system tasks. |
Analyze Like a Venture Capitalist: Information-Gain and Knowledge Enhanced Graph Reasoning for Startup Success Prediction (2026.findings-acl)
Copied to clipboard
| Challenge: | Most venture capital investments fail, while a few deliver outsized returns. |
| Approach: | They propose a framework that synthesizes relational evidence across sources . they propose combining information-gain-driven retriever and knowledge base to ground reasoning . |
| Outcome: | The proposed framework achieves +5.9% F1 and +22.1% Precision@5 over state-of-the-art baselines. |