no code implementations • 1 Mar 2024 • Zhengyu Zhang, Ruisi He, Bo Ai, Mi Yang, Yong Niu, Zhangdui Zhong, Yujian Li, Xuejian Zhang, Jing Li
However, some important features of ISAC channels have not been well characterized, for example, most existing ISAC channel models consider communication channels and sensing channels independently, whereas ignoring correlation under the consistent environment.
no code implementations • 1 Mar 2024 • Zhengyu Zhang, Ruisi He, Bo Ai, Mi Yang, Xuejian Zhang, Ziyi Qi, Yuan Yuan
Integrated sensing and communication (ISAC) is a promising technology for 6G, with the goal of providing end-to-end information processing and inherent perception capabilities for future communication systems.
no code implementations • 1 Mar 2024 • Zhengyu Zhang, Ruisi He, Mi Yang, Xuejian Zhang, Ziyi Qi, Yuan Yuan, Bo Ai
Recently, deep learning enabled semantic communications have been developed to understand transmission content from semantic level, which realize effective and accurate information transfer.
no code implementations • 1 Mar 2024 • Zhengyu Zhang, Ruisi He, Mi Yang, Xuejian Zhang, Ziyi Qi, Hang Mi, Guiqi Sun, Jingya Yang, Bo Ai
It is necessary to carry out measurement, characterization, and modeling for vehicular ISAC channels as the basic theoretical support for system design.
no code implementations • 12 Jul 2023 • Xuewei Wang, Qiang Jin, Shengyu Huang, Min Zhang, Xi Liu, Zhengli Zhao, Yukun Chen, Zhengyu Zhang, Jiyan Yang, Ellie Wen, Sagar Chordia, Wenlin Chen, Qin Huang
In order to pass better ads from the early to the final stage ranking, we propose a multi-task learning framework for early stage ranking to capture multiple final stage ranking components (i. e. ads clicks and ads quality events) and their task relations.
1 code implementation • 11 Apr 2023 • Danwei Li, Zhengyu Zhang, Siyang Yuan, Mingze Gao, Weilin Zhang, Chaofei Yang, Xi Liu, Jiyan Yang
However, MTL research faces two challenges: 1) effectively modeling the relationships between tasks to enable knowledge sharing, and 2) jointly learning task-specific and shared knowledge.
no code implementations • 1 Mar 2023 • Jing Li, Jinpeng Yu, Ruoyu Wang, Zhengxin Li, Zhengyu Zhang, Lina Cao, Shenghua Gao
As the unsupervised plane segments are usually noisy and inaccurate, we propose to assign different weights to the sampled points on the plane in plane estimation as well as the regularization loss.
no code implementations • 29 Dec 2022 • Yuhang Zhang, Shishun Tian, Muxin Liao, Zhengyu Zhang, Wenbin Zou, Chen Xu
In this paper, we propose a class-wise non-salient region generalized (CNSG) framework for the VGSS task.
no code implementations • 15 Nov 2022 • Zequn Jin, Lihua Lin, Zhengyu Zhang
One contribution of this paper is that we establish some close relationships between the \textit{outcome conditioned average partial effects} and a class of parameters measuring the effect of counterfactually changing the distribution of a single covariate on the unconditional outcome quantiles.
no code implementations • 12 Jun 2021 • MohammadJavad Azizi, Sheldon M Ross, Zhengyu Zhang
We propose to use the classical "vector at a time" (VT) rule, which samples each remaining arm once in each round.
no code implementations • 13 Mar 2020 • Hanbin Dai, Liangbo Zhou, Feng Zhang, Zhengyu Zhang, Hong Hu, Xiatian Zhu, Mao Ye
Taking them together, we formulate a novel Distribution-Aware coordinate Representation for Keypoint (DARK) method.
no code implementations • 6 Nov 2017 • Xun Gao, Zhengyu Zhang, Lu-Ming Duan
A central task in the field of quantum computing is to find applications where quantum computer could provide exponential speedup over any classical computer.