no code implementations • 19 Mar 2024 • Zhigang Chen, Benjia Zhou, Jun Li, Jun Wan, Zhen Lei, Ning Jiang, Quan Lu, Guoqing Zhao
Although some approaches work towards gloss-free SLT through jointly training the visual encoder and translation network, these efforts still suffer from poor performance and inefficient use of the powerful Large Language Model (LLM).
Ranked #1 on Gloss-free Sign Language Translation on CSL-Daily
no code implementations • 9 Dec 2023 • Zhiling Ye, LiangGuo Zhang, Dingheng Zeng, Quan Lu, Ning Jiang
This approach losslessly encodes landmark structures as conditional features, decoupling input diversity, and conditional spaces by mapping arbitrary landmarks to a unified feature space.
no code implementations • 5 Dec 2023 • Tianshun Han, Shengnan Gui, Yiqing Huang, Baihui Li, Lijian Liu, Benjia Zhou, Ning Jiang, Quan Lu, Ruicong Zhi, Yanyan Liang, Du Zhang, Jun Wan
The framework entails three modules: PMMTalk encoder, cross-modal alignment module, and PMMTalk decoder.
no code implementations • 22 Oct 2023 • Kun Wei, Bei Li, Hang Lv, Quan Lu, Ning Jiang, Lei Xie
By introducing both cross-modal and conversational representations into the decoder, our model retains context over longer sentences without information loss, achieving relative accuracy improvements of 8. 8% and 23% on Mandarin conversation datasets HKUST and MagicData-RAMC, respectively, compared to the standard Conformer model.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 4 Aug 2022 • Fanwei Zhu, Wendong Xiao, Yao Yu, Ziyi Wang, Zulong Chen, Quan Lu, Zemin Liu, Minghui Wu, Shenghua Ni
Demand estimation plays an important role in dynamic pricing where the optimal price can be obtained via maximizing the revenue based on the demand curve.
no code implementations • 13 Oct 2021 • Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, Quan Lu
In this paper, we propose a novel Scenario-Aware Ranking Network (SAR-Net) to address these issues.
no code implementations • 11 Aug 2020 • Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Shuhui Wang, Hui Xue, Quan Lu
A sharp MIL (S-MIL) is proposed which builds direct mapping from instance embeddings to bag prediction, rather than from instance embeddings to instance prediction and then to bag prediction in traditional MIL.
no code implementations • ACL 2020 • He Zhao, Longtao Huang, Rong Zhang, Quan Lu, Hui Xue
To this end, this paper proposes an end-to-end method to solve the task of Pair-wise Aspect and Opinion Terms Extraction (PAOTE).
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
5 code implementations • 9 Jun 2018 • Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu
The data involved in CTR prediction are typically multi-field categorical data, i. e., every feature is categorical and belongs to one and only one field.
no code implementations • 17 Jul 2015 • Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-Chih Lee, Hang Qi, Quan Lu
In this paper, we propose a new bidding strategy and prove that if the bid price is decided based on the performance lift rather than absolute performance value, advertisers can actually gain more action events.
no code implementations • 18 Jun 2015 • Jian Xu, Kuang-Chih Lee, Wentong Li, Hang Qi, Quan Lu
In this paper, we propose a smart pacing approach in which the delivery pace of each campaign is learned from both offline and online data to achieve smooth delivery and optimal performance goals.