1 code implementation • 27 Aug 2023 • Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua LI, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu
TASTE alleviates the cold start problem by representing long-tail items using full-text modeling and bringing the benefits of pretrained language models to recommendation systems.
1 code implementation • 6 May 2022 • Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua LI
These embeddings need to be high-dimensional to fit training signals and guarantee the retrieval effectiveness of dense retrievers.
Ranked #1 on Information Retrieval on MS MARCO
no code implementations • 30 Sep 2021 • Manjushree B. Aithal, Xiaohua LI
In this paper, we study the method of adding white noise to the DNN output to mitigate such attacks, with a unique focus on the trade-off analysis of noise level and query cost.
no code implementations • 18 Mar 2021 • Hao Chen, Xiaohua LI, Jiliu Zhou
Hyperspectral Image(HSI) classification is the most vibrant field of research in the hyperspectral community, which aims to assign each pixel in the image to one certain category based on its spectral-spatial characteristics.
no code implementations • 21 Jan 2021 • Shibo Zhou, Wei Wang, Xiaohua LI, Zhanpeng Jin
The proposed temporal coding scheme maps each event's arrival time and data into SNN spike time so that asynchronously-arrived events are processed immediately without delay.
no code implementations • 15 Oct 2020 • Shibo Zhou, Xiaohua LI
To support this claim, we show that SNNs built with nonleaky neurons can have a less-complex and less-nonlinear input-output response.
no code implementations • 24 Jan 2020 • Wei Wang, Shibo Zhou, Jingxi Li, Xiaohua LI, Junsong Yuan, Zhanpeng Jin
Accurate real-time object recognition from sensory data has long been a crucial and challenging task for autonomous driving.
no code implementations • 17 Dec 2019 • Shibo Zhou, Ying Chen, Xiaohua LI, Arindam Sanyal
In this paper, we integrate spiking convolutional neural network (SCNN) with temporal coding into the YOLOv2 architecture for real-time object detection.
1 code implementation • 24 Sep 2019 • Shibo Zhou, Xiaohua LI, Ying Chen, Sanjeev T. Chandrasekaran, Arindam Sanyal
Spiking neural network (SNN) is interesting both theoretically and practically because of its strong bio-inspiration nature and potentially outstanding energy efficiency.
no code implementations • 16 Jun 2019 • Jian Zheng, Sudha Krishnamurthy, Ruxin Chen, Min-Hung Chen, Zhenhao Ge, Xiaohua LI
However, little work has been done for game image captioning which has some unique characteristics and requirements.
no code implementations • 26 Dec 2017 • Monireh Dabaghchian, Amir Alipour-Fanid, Songsong Liu, Kai Zeng, Xiaohua LI, Yu Chen
Then we apply factor analysis on the performance data to identify and quantize the intelligence factors and cognitive capabilities of the CR.