Li, Lei

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,617

On the Sentence Embeddings from Pre-trained Language Models

Li, B., Zhou, H., He, J., Wang, M., Yang, Y., & Li, L. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 593

SOLOv2: Dynamic and Fast Instance Segmentation

Wang, X., Zhang, R., Kong, T., Li, L., & Shen, C. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 549

Towards a new generation of artificial intelligence in China

Wu, F., Lu, C., Zhu, M., Chen, H., Zhu, J., Yu, K., Li, L., Li, M., Chen, Q., Li, X., et al. (2020) · Nature Machine Intelligence

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 287

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

Zhu, W., Liu, H., Dong, Q., Xu, J., Huang, S., Kong, L., Chen, J., & Li, L. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 195

Glancing Transformer for Non-Autoregressive Neural Machine Translation

Qian, L., Zhou, H., Bao, Y., Wang, M., Qiu, L., Zhang, W., Yu, Y., & Li, L. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 108

Calibrating Factual Knowledge in Pretrained Language Models

Dong, Q., Dai, D., Song, Y., Xu, J., Sui, Z., & Li, L. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Topic ModelingMultimodal Machine Learning Applications

Cited by 39

LightSeq: A High Performance Inference Library for Transformers

Wang, X., Xiong, Y., Wei, Y., Wang, M., & Li, L. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers

Topic ModelingNatural Language Processing Techniques

Cited by 36

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation

Yang, H., Zhao, Q., & Li, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0