no code implementations • Findings (EMNLP) 2021 • Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li
Recently, disentanglement based on a generative adversarial network or a variational autoencoder has significantly advanced the performance of diverse applications in CV and NLP domains.
no code implementations • Findings (NAACL) 2022 • Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li
Recently, prompt learning has received significant attention, where the downstream tasks are reformulated to the mask-filling task with the help of a textual prompt.
no code implementations • 18 Jan 2024 • Xin Yuan, Jinoo Baek, Keyang Xu, Omer Tov, Hongliang Fei
We propose an efficient diffusion-based text-to-video super-resolution (SR) tuning approach that leverages the readily learned capacity of pixel level image diffusion model to capture spatial information for video generation.
no code implementations • 19 Oct 2022 • Yue Zhang, Hongliang Fei, Dingcheng Li, Tan Yu, Ping Li
In particular, we focus on few-shot image recognition tasks on pretrained vision-language models (PVLMs) and develop a method of prompting through prototype (PTP), where we define $K$ image prototypes and $K$ prompt prototypes.
no code implementations • 18 Oct 2022 • Yue Zhang, Hongliang Fei, Ping Li
Specifically, we build a noise model to estimate the unknown labeling noise distribution over input contexts and noisy type labels.
no code implementations • 13 Oct 2022 • Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li
In this paper, we formulate the APP-installation user embedding learning into a bipartite graph embedding problem.
no code implementations • 23 Sep 2022 • Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li
To overcome the limitations of behavior ID features in modeling new ads, we exploit the visual content in ads to boost the performance of CTR prediction models.
no code implementations • 19 Sep 2022 • Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
How to pair the video ads with the user search is the core task of Baidu video advertising.
no code implementations • NAACL 2021 • Hongliang Fei, Tan Yu, Ping Li
Recent pretrained vision-language models have achieved impressive performance on cross-modal retrieval tasks in English.
no code implementations • 1 Jan 2021 • Tan Yu, Hongliang Fei, Ping Li
Inspired by the great success of BERT in NLP tasks, many text-vision BERT models emerged recently.
no code implementations • ACL 2020 • Hongliang Fei, Ping Li
Recent neural network models have achieved impressive performance on sentiment classification in English as well as other languages.
no code implementations • ACL 2019 • Hongliang Fei, Xu Li, Dingcheng Li, Ping Li
Recent neural network models have significantly advanced the task of coreference resolution.
Ranked #13 on Coreference Resolution on CoNLL 2012