Xiangqun Chen — accepted AI-conference papers

2022

MOBA-E2C: Generating MOBA Game Commentaries via Capturing Highlight Events from the Meta-Data

Dawei Zhang, Sixing Wu, Yao Guo, Xiangqun Chen

EMNLP 2022finding

MOBA (Multiplayer Online Battle Arena) games such as Dota2 are currently one of the most popular e-sports gaming genres. Following professional commentaries is a great way to understand and enjoy a MOBA game. However, massive game competitions lack commentaries because of the shortage of professiona…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗

2021

TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning

Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen

AAAI 2021technical

The increasing of pre-trained models has significantly facilitated the performance on limited data tasks with transfer learning. However, progress on transfer learning mainly focuses on optimizing the weights of pre-trained models, which ignores the structure mismatch between the model and the targe…

Cited by 66 Source ↗PDF ↗Scholar ↗