About Me
Here is Yong Dai (代勇).
Brief Bio
As a dedicated AI researcher, my work bridges the gap between large language models and the complex, multi-modal world we live in. My journey began at the University of Electronic Science and Technology of China (UESTC), where I completed my Ph.D. under the guidance of Professor Zenglin Xu. During my doctoral program, I also had the valuable opportunity to learn and grow as a research intern at Microsoft. This experience, combined with my subsequent role as a researcher at Tencent AI Lab, solidified my expertise in harnessing large-scale models for a wide spectrum of downstream tasks.
Recently, my focus has shifted to what I see as the next frontier: multi-modality and web agents. I am deeply fascinated by the pursuit of a unified paradigm—a single, elegant model that can perceive, reason, and create across text, images, and other data formats. My long-term vision is to contribute to the development of a true “World Model.” By integrating such a powerful generative and understanding system with autonomous agent technology, I aim to play a part in building the foundation for Artificial General Intelligence (AGI) and creating systems that can truly benefit humanity.
Experience
- 05/21 - 04/24: Research Intern and Researcher, Tencent AI Lab
- 11/20 - 04/21: Visiting student, Westlake University
- 09/19 - 10/20: Research Intern, Microsoft STCA nlpg
- 09/18 - 08/19: Project leader, cooperation project with Nuance
Research Interests
Project
| Year | Content |
|---|---|
 Feb 2025 |
🎉 Paper accepted to ACM MM 2025 |
| Nov 2024 |
Released paper MME-finance: A multimodal finance benchmark |
| Oct 2024 |
Released paper TimeCNN: Refining Cross-Variable Interaction |
| 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 |
| Dec 2023 |
Released evaluation paper TencentLLMEval |
| Dec 2023 |
Released reward adaptation paper Everyone deserves a reward |
| Jun 2023 |
🎉 Paper SkillNet-X accepted to ICASSP 2024 |
| Dec 2022 |
🎉 Paper Federated Learning + PLMs accepted to Findings of ACL 2023 |
| Oct 2022 |
🎉 Paper Prompt-based Constrained Clustering accepted to Findings of EMNLP 2022 |
| Aug 2022 |
Released technical report Effidit: Your AI Writing Assistant |
| Aug 2022 |
Released paper Chinese BERT Error Detection |
| Mar 2022 |
Released paper MarkBERT |
| Mar 2022 |
🎉 Paper Whole Word Masking accepted to Findings of ACL 2022 |
| Mar 2022 |
🎉 Paper Chinese GPT for Pinyin Input accepted to ACL 2022 |
| Jan 2022 |
🎉 Paper Graph Fusion Network accepted to KBS |
| Sep 2021 |
🎉 Paper Unsupervised Sentiment Analysis accepted to CC |
| Oct 2020 |
🎉 Paper Contextualize KBs with Transformer accepted to EMNLP 2021 (Oral) |
| Apr 2020 |
🎉 Paper Adversarial Training for Sentiment Analysis accepted to AAAI 2020 |