1 code implementation • EMNLP 2020 • Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, ChangTien Lu
The uncertainty measurement of classified results is especially important in areas requiring limited human resources for higher accuracy.
1 code implementation • Findings (NAACL) 2022 • Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Large-scale multilingual pre-trained language models have achieved remarkable performance in zero-shot cross-lingual tasks.
no code implementations • 27 May 2024 • Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu
We present DC-Gaussian, a new method for generating novel views from in-vehicle dash cam videos.
no code implementations • 27 Mar 2024 • Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu
Studies highlight the gap in the deceptive power of LLM-generated fake news with and without human assistance, yet the potential of prompting techniques has not been fully explored.
no code implementations • 12 Dec 2023 • Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhang Wang, Chang-Tien Lu
The meaning of complex phrases in natural language is composed of their individual components.
no code implementations • 15 Nov 2023 • Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
Sequential labeling is a task predicting labels for each token in a sequence, such as Named Entity Recognition (NER).
1 code implementation • 11 Sep 2023 • Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
To tackle these challenges, we propose a Self-Correlation and Cross-Correlation Learning Network for the few-shot remote sensing image semantic segmentation.
1 code implementation • 3 Jun 2023 • Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Meta-learning has emerged as a trending technique to tackle few-shot text classification and achieve state-of-the-art performance.
1 code implementation • ECCV 2022 • Shuo Lei
In this paper, we extend few-shot semantic segmentation to a new task, called Cross-Domain Few-Shot Semantic Segmentation (CD-FSS), which aims to generalize the meta-knowledge from domains with sufficient training labels to low-resource domains.
no code implementations • 16 Oct 2020 • Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao
Each MEx area has the mask area of the generation as the majority and the boundary of original context as the minority.
no code implementations • 3 Jul 2020 • Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Despite the great progress made by deep neural networks in the semantic segmentation task, traditional neural-networkbased methods typically suffer from a shortage of large amounts of pixel-level annotations.
no code implementations • 5 Feb 2019 • Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
The presence of data corruption in user-generated streaming data, such as social media, motivates a new fundamental problem that learns reliable regression coefficient when features are not accessible entirely at one time.