1 code implementation • 23 Feb 2024 • Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
In this work, we conduct extensive empirical studies with novel attack methods, which demonstrate the vulnerability of RAG systems on leaking the private retrieval database.
no code implementations • 4 Feb 2024 • Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
We examine from two distinct viewpoints: the copyrights pertaining to the source data held by the data owners and those of the generative models maintained by the model builders.
no code implementations • 29 Jan 2024 • Xiangzhao Qin, Sha Hu, Jiankun Zhang, Jing Qian, Hao Wang
Deep learning (DL) based channel estimation (CE) and multiple input and multiple output detection (MIMODet), as two separate research topics, have provided convinced evidence to demonstrate the effectiveness and robustness of artificial intelligence (AI) for receiver design.
no code implementations • 17 Aug 2022 • Jiankun Zhang, Hao Wang, Jing Qian, Zhenxing Gao
Soft demodulation of received symbols into bit log-likelihood ratios (LLRs) is at the very heart of multiple-input-multiple-output (MIMO) detection.
no code implementations • 16 Aug 2022 • Jiankun Zhang, Hao Wang
The fifth-generation (5G) wireless communication is useful for positioning due to its large bandwidth and low cost.
no code implementations • 22 Feb 2021 • Hao Jiang, Shuangkaisheng Bi, Linglong Dai, Hao Wang, Jiankun Zhang
However, the gradient vanishing and overfitting problems of GAN will result in the serious performance degradation of E2E learning of communication system.