no code implementations • COLING 2022 • Haochen Li, Tong Mo, Hongcheng Fan, Jingkun Wang, Jiaxi Wang, Fuhao Zhang, Weiping Li
Then, knowledge-injected prompts are constructed using external knowledge bases, and a prompt tuning strategy is leveraged to optimize the prompts.
no code implementations • 6 Jun 2023 • Haochen Li, Tianhao Gao, Jingkun Wang, Weiping Li
Event Extraction (EE) is one of the essential tasks in information extraction, which aims to detect event mentions from text and find the corresponding argument roles.
1 code implementation • CVPR 2023 • Runsen Feng, Zongyu Guo, Weiping Li, Zhibo Chen
In theory, vector quantization (VQ) is always better than scalar quantization (SQ) in terms of rate-distortion (R-D) performance.
no code implementations • COLING 2022 • Zile Qiao, Wei Ye, Tong Zhang, Tong Mo, Weiping Li, Shikun Zhang
Answering natural language questions on knowledge graphs (KGQA) remains a great challenge in terms of understanding complex questions via multi-hop reasoning.
1 code implementation • 14 Jan 2022 • Yinyi Wei, Tong Mo, Yongtao Jiang, Weiping Li, Wen Zhao
The distances between the embedding at the masked position of input and prototypical embeddings are used as classification criterion.
no code implementations • 26 Nov 2021 • Bin Xie, Weiping Li
We detect the parameter sensitivities of bond pricing which is driven by a Brownian motion and a compound Poisson process as the discontinuous case in credit risk research.
no code implementations • 19 Nov 2021 • Bin Xie, Weiping Li, Nan Liang
We analyze various jumps for Heston model, non-IID model and three L\'evy jump models for S&P 500 index options.
1 code implementation • COLING 2020 • Rong Zhang, Qifei Zhou, Bo An, Weiping Li, Tong Mo, Bo Wu
2) There is no previous work considering adversarial attack to improve the performance of NLSM tasks.
1 code implementation • SIAM International Conference on Data Mining (SDM20) 2020 • Rong Zhang, Qifei Zhou, Bo Wu, Weiping Li, Tong Mo
We firstly propose to explore the asking emphasis of a question as a key factor in DQI.
Ranked #1 on Community Question Answering on Quora Question Pairs
no code implementations • 13 Apr 2020 • Wei Zhou, Qiuping Jiang, Yuwang Wang, Zhibo Chen, Weiping Li
Numerous image superresolution (SR) algorithms have been proposed for reconstructing high-resolution (HR) images from input images with lower spatial resolutions.
no code implementations • 25 Mar 2020 • Ya Zhou, Jianfeng Xu, Kazuyuki Tasaka, Zhibo Chen, Weiping Li
Various blur distortions in video will cause negative impact on both human viewing and video-based applications, which makes motion-robust deblurring methods urgently needed.
1 code implementation • 23 Nov 2019 • Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu
In this work, we show that the mean and variance shifts caused by full-spatial FN limit the image inpainting network training and we propose a spatial region-wise normalization named Region Normalization (RN) to overcome the limitation.
1 code implementation • 3 Mar 2019 • Zhizheng Zhang, Jiale Chen, Zhibo Chen, Weiping Li
Not limited to the control tasks in computationally complex environments, AE-DDPG also achieves higher rewards and 2- to 4-fold improvement in sample efficiency on average compared to other variants of DDPG in MuJoCo environments.
no code implementations • 5 Apr 2018 • Rong Zhang, Weiping Li, Tong Mo
In recent years, China, the United States and other countries, Google and other high-tech companies have increased investment in artificial intelligence.
no code implementations • 30 Jan 2018 • Jie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li
Worse still, isolated SLR methods typically require strenuous labeling of each word separately in a sentence, severely limiting the amount of attainable training data.
no code implementations • 22 Nov 2017 • Tong Mo, Rong Zhang, Weiping Li, Jingbo Zhang, Zhonghai Wu, Wei Tan
The practice in an elderly-care company shows that the FPQM can reduce the number of attributes by 90. 56% with a prediction accuracy of 98. 39%.
no code implementations • CVPR 2016 • Chenyi Lei, Dong Liu, Weiping Li, Zheng-Jun Zha, Houqiang Li
In many image-related tasks, learning expressive and discriminative representations of images is essential, and deep learning has been studied for automating the learning of such representations.