Yong Dai
AI researcher working on large language models, multimodal agents, and embodied intelligence. Ph.D. from UESTC (advisor: Prof. Zenglin Xu). Former research intern at Microsoft and researcher at Tencent AI Lab.
Current focus: multi-modality and web agents — building toward a unified model that can perceive, reason, and create across text, images, and other data formats. Long-term goal: contribute to the foundations of AGI.
Experience
- 06/21 – 04/24: Research Intern and Researcher, Tencent AI Lab
- 12/20 – 04/21: Visiting Student, Westlake University
- 10/19 – 10/20: Research Intern, Microsoft STCA NLPG
- 10/18 – 08/19: Project Leader, cooperation project with Nuance
News
| Date | Content |
|---|---|
| Feb 2025 | 🎉 Two papers accepted to ACM MM 2025 |
| Sep 2024 | 🎉 Two papers accepted to NeurIPS 2024 |
| Sep 2024 | 🎉 One paper accepted to EMNLP 2024 Findings |
| Jun 2024 | 🎉 Three papers accepted to ACL 2024 |
| Jun 2023 | 🎉 SkillNet-X accepted to ICASSP 2024 |
| Dec 2022 | 🎉 Federated Learning + PLMs accepted to Findings of ACL 2023 |
| Oct 2022 | 🎉 Prompt-based Constrained Clustering accepted to Findings of EMNLP 2022 |
| Mar 2022 | 🎉 Whole Word Masking accepted to Findings of ACL 2022 |
| Mar 2022 | 🎉 Chinese GPT for Pinyin Input accepted to ACL 2022 |
| Jan 2022 | 🎉 Graph Fusion Network accepted to KBS |
| Sep 2021 | 🎉 Unsupervised Sentiment Analysis accepted to CC |
| Oct 2020 | 🎉 Contextualize KBs with Transformer accepted to EMNLP 2021 (Oral) |
| Apr 2020 | 🎉 Adversarial Training for Sentiment Analysis accepted to AAAI 2020 |
