no code implementations • 5 Mar 2024 • Liangzhou Wang, Kaiwen Zhu, Fengming Zhu, Xinghu Yao, Shujie Zhang, Deheng Ye, Haobo Fu, Qiang Fu, Wei Yang
The common goal is an achievable state with high value, which is obtained by sampling from the distribution of future states.
1 code implementation • ICCV 2023 • Shujie Zhang, Tianyue Zheng, Zhe Chen, Jingzhi Hu, Abdelwahed Khamis, Jiajun Liu, Jun Luo
To overcome the challenge in labeling RF imaging given its human incomprehensible nature, OCHID-Fi employs a cross-modality and cross-domain training process.
no code implementations • 16 Nov 2021 • Tianyue Zheng, Zhe Chen, Shujie Zhang, Chao Cai, Jun Luo
Crucial for healthcare and biomedical applications, respiration monitoring often employs wearable sensors in practice, causing inconvenience due to their direct contact with human bodies.
no code implementations • 29 Sep 2021 • Shujie Zhang, Tianyue Zheng, Zhe Chen, Jun Luo, Sinno Pan
In many practical scenarios of signal extraction from a nonlinear mixture, only one (signal) source is intended to be extracted.
no code implementations • 23 Feb 2018 • Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Xu Wen, Rui Ren, Chen Zheng, Xiwen He, Hainan Ye, Haoning Tang, Zheng Cao, Shujie Zhang, Jiahui Dai
On the basis of our previous work that identifies eight data motifs taking up most of the run time of a wide variety of big data and AI workloads, we propose a scalable benchmarking methodology that uses the combination of one or more data motifs---to represent diversity of big data and AI workloads.