MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis G Wen, P Cao, H Bao, W Yang, T Zheng, O Zaiane Computers in biology and medicine 142, 105239, 2022 | 134 | 2022 |
Learning Multiscale Transformer Models for Sequence Generation B Li*, T Zheng*, Y Jing*, C Jiao, T Xiao, J Zhu International Conference on Machine Learning, 13225-13241, 2022 | 15 | 2022 |
EIT: Enhanced Interactive Transformer T Zheng*, B Li*, H Bao*, T Xiao, J Zhu ACL2024 Main, 2024 | 2 | 2024 |
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs Y Zuo, B Li, C Lv, T Zheng, T Xiao, J Zhu EMNLP2023 Findings, 2023 | 2 | 2023 |
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning B Li, T Zheng, R Wang, J Liu, Q Guo, J Guo, X Tan, T Xiao, J Zhu, J Wang, ... Neurips 2024, 2024 | 1 | 2024 |
Partialformer: Modeling part instead of whole for machine translation T Zheng, B Li, H Bao, J Wang, W Shan, T Xiao, J Zhu Findings of the Association for Computational Linguistics ACL 2024, 7280-7294, 2024 | 1* | 2024 |
Towards Optimal Multi-draft Speculative Decoding Z Hu*, T Zheng*, V Viswanathan, Z Chen, RA Rossi, Y Wu, D Manocha, ... The Thirteenth International Conference on Learning Representations, 2025 | | 2025 |
Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization W Shan, L Meng, T Zheng, Y Luo, B Li, T Xiao, J Zhu arXiv preprint arXiv:2412.01455, 2024 | | 2024 |
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution Z Hu*, T Zheng*, H Huang EMNLP2024 Main, 2024 | | 2024 |