no code implementations • 21 Apr 2024 • Shuyao Shi, Neiwen Ling, Zhehao Jiang, Xuan Huang, Yuze He, Xiaoguang Zhao, Bufang Yang, Chen Bian, Jingfei Xia, Zhenyu Yan, Raymond Yeung, Guoliang Xing
To explore the potential of infrastructure-assisted autonomous driving, this paper presents the design and deployment of Soar, the first end-to-end SRI system specifically designed to support autonomous driving systems.
no code implementations • 3 Apr 2024 • Bufang Yang, Lixing He, Kaiwei Liu, Zhenyu Yan
However, it is challenging for VI people to use MLLMs due to the difficulties in capturing the desirable images to fulfill their daily requests.
no code implementations • 18 Nov 2023 • Bufang Yang, Lixing He, Neiwen Ling, Zhenyu Yan, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang
We implement EdgeFM using two FMs on two edge platforms.
no code implementations • 23 Oct 2023 • Xiaomin Ouyang, Xian Shuai, Yang Li, Li Pan, Xifan Zhang, Heming Fu, Sitong Cheng, Xinyan Wang, Shihua Cao, Jiang Xin, Hazel Mok, Zhenyu Yan, Doris Sau Fung Yu, Timothy Kwok, Guoliang Xing
ADMarker features a novel three-stage multi-modal federated learning architecture that can accurately detect digital biomarkers in a privacy-preserving manner.
no code implementations • 16 Oct 2022 • Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin
Indoor self-localization is a highly demanded system function for smartphones.
no code implementations • 18 Apr 2022 • Qun Song, Zhenyu Yan, Wenjie Luo, Rui Tan
This paper presents extensive evaluation of Sardino's performance in counteracting adversarial examples and applies it to build a real-time car-borne traffic sign recognition system.
no code implementations • 15 Jan 2022 • Zhihe Zhao, Xian Shuai, Yang Bai, Neiwen Ling, Nan Guan, Zhenyu Yan, Guoliang Xing
Achieving efficient execution of machine learning models has attracted significant attention recently.
no code implementations • 11 Oct 2019 • Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan
For example, we observe that even with a few hundreds of iterations, the regret of causal algorithms is less than that of standard algorithms by a factor of three.
no code implementations • 11 May 2019 • Qun Song, Zhenyu Yan, Rui Tan
Specifically, once the attackers obtain the deep model, they can construct adversarial examples to mislead the model to yield wrong classification results.
no code implementations • 11 Oct 2018 • Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan
In this work, we focus on pre- dicting attrition, which is one of typical user intended actions.
1 code implementation • 6 Sep 2018 • Ning li, Sai Kumar Arava, Chen Dong, Zhenyu Yan, Abhishek Pani
Customers are usually exposed to online digital advertisement channels, such as email marketing, display advertising, paid search engine marketing, along their way to purchase or subscribe products( aka.
no code implementations • 6 Sep 2018 • Yuan Yuan, Xiaojing Dong, Chen Dong, Yiwen Sun, Zhenyu Yan, Abhishek Pani
Predicting keywords performance, such as number of impressions, click-through rate (CTR), conversion rate (CVR), revenue per click (RPC), and cost per click (CPC), is critical for sponsored search in the online advertising industry.