no code implementations • 25 Mar 2024 • Shun Zhang, Jian Yang, Jiaqi Bai, Chaoran Yan, Tongliang Li, Zhao Yan, Zhoujun Li
New Intent Discovery (NID) aims to recognize known and infer new intent categories with the help of limited labeled and large-scale unlabeled data.
no code implementations • 18 Mar 2024 • Muye Li, Shun Zhang, Yao Ge, Zan Li, Feifei Gao, Pingzhi Fan
With the help of sensing results, the phase shifts of the STAR-RIS are delicately designed, which can significantly improve the received signal strength for both the RSUs and the in-vehicle UE, and can finally enhance the sensing and communication performance.
no code implementations • 17 Feb 2024 • Ying Mo, Jian Yang, Jiahao Liu, Shun Zhang, Jingang Wang, Zhoujun Li
Recently, there has been increasing interest in exploring the capabilities of advanced large language models (LLMs) in the field of information extraction (IE), specifically focusing on tasks related to named entity recognition (NER) and relation extraction (RE).
no code implementations • 30 Jan 2024 • Shun Zhang, Zhenfang Chen, Sunli Chen, Yikang Shen, Zhiqing Sun, Chuang Gan
Reinforcement Learning from Human Feedback (RLHF) is a widely adopted approach for aligning large language models with human values.
1 code implementation • 12 Jan 2024 • Wonjune Kang, Yun Wang, Shun Zhang, Arthur Hinsvark, Qing He
We propose a multi-task learning (MTL) model for jointly performing three tasks that are commonly solved in a text-to-speech (TTS) front-end: text normalization (TN), part-of-speech (POS) tagging, and homograph disambiguation (HD).
no code implementations • 25 Sep 2023 • Hongliang Luo, Feifei Gao, Wanmai Yuan, Shun Zhang
In this paper, we find that with the aid of true-time-delay lines (TTDs), the range and trajectory of the beam squint in near-field communications systems can be freely controlled, and hence it is possible to reversely utilize the beam squint for user localization.
no code implementations • 23 Sep 2023 • Qibo Qiu, Honghui Yang, Wenxiao Wang, Shun Zhang, Haiming Gao, Haochao Ying, Wei Hua, Xiaofei He
Specifically, with masked point cloud as input, M$^3$CS introduces two decoders to predict masked representations and the original points simultaneously.
no code implementations • 5 Jul 2023 • Shun Zhang
This article examines the impact of China's delayed retirement announcement on households' savings behavior using data from China Family Panel Studies (CFPS).
no code implementations • 19 May 2023 • Shun Zhang, Haoran Sun, Runze Yu, Hongshenyuan Cui, Jian Ren, Feifei Gao, Shi Jin, Hongxiang Xie, Hao Wang
In particular, we adopt a self-developed broadband intelligent communication system 40MHz-Net (BICT-40N) terminal in order to fully acquire the channel information.
no code implementations • 17 Apr 2023 • Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan
To address this challenge, we propose a new framework, called Hyper-Decision Transformer (HDT), that can generalize to novel tasks from a handful of demonstrations in a data- and parameter-efficient manner.
no code implementations • 9 Mar 2023 • Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan
Existing large language model-based code generation pipelines typically use beam search or sampling algorithms during the decoding process.
1 code implementation • 30 Oct 2022 • Jiawei Lian, Shaohui Mei, Shun Zhang, Mingyang Ma
DNNs are vulnerable to adversarial examples, which poses great security concerns for security-critical systems.
no code implementations • 8 Oct 2022 • Yong He, Cheng Wang, Shun Zhang, Nan Li, Zhaorong Li, Zhenyu Zeng
Herein, we develop a new model called KG-MTT-BERT (Knowledge Graph Enhanced Multi-Type Text BERT) by extending the BERT model for long and multi-type text with the integration of the medical knowledge graph.
no code implementations • 14 Aug 2022 • Muye Li, Shun Zhang, Yao Ge, Feifei Gao, Pingzhi Fan
For the OTFS transmission, we propose a JCEDD scheme over delay-Doppler domain.
no code implementations • 11 Jul 2022 • Ming Ouyang, Yucong Wang, Feifei Gao, Shun Zhang, Puchu Li, Jian Ren
The vision-aided RIS prototype system is tested in two mobile scenarios: RIS works in near-field conditions as a passive array antenna of the base station; RIS works in far-field conditions to assist the communication between the base station and the user equipment.
no code implementations • 27 Jun 2022 • Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan
Humans can leverage prior experience and learn novel tasks from a handful of demonstrations.
no code implementations • 21 Apr 2022 • Yuhua Jiang, Feifei Gao, Mengnan Jian, Shun Zhang, Wei zhang
However, the conventional continuous aperture RIS is designed to convert the incoming planar waves into the outgoing planar waves, which is not the optimal reflecting scheme when the receiver is not a planar array and is located in the near field of the RIS.
no code implementations • 12 Aug 2021 • Meng Xu, Shun Zhang, Jianpeng Ma, Octavia A. Dobre
Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks.
no code implementations • 9 Aug 2021 • Shunbo Zhang, Shun Zhang, Jianpeng Ma, Tian Liu, Octavia A. Dobre
We design a latent ordinary differential equation (ODE)-based network under the variational auto-encoder (VAE) framework to learn the mapping function from the partial uplink channels to the full downlink ones at the BS side.
no code implementations • 19 Jun 2021 • Yushan Liu, Shun Zhang, Feifei Gao, Jie Tang, Octavia A. Dobre
Channel estimation is challenging for the reconfigurable intelligence surface (RIS) assisted millimeter wave (mmWave) communications.
no code implementations • 1 Jun 2021 • Shun Zhang, Muye Li, Mengnan Jian, Yajun Zhao, Feifei Gao
Reconfigurable intelligent surface (RIS) is an emerging meta-surface that can provide additional communications links through reflecting the signals, and has been recognized as a strong candidate of 6G mobile communications systems.
no code implementations • 14 May 2021 • Shunbo Zhang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre
Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks.
no code implementations • 25 Feb 2021 • Shun Zhang, Yushan Liu, Feifei Gao, Chengwen Xing, Jianping An, Octavia A. Dobre
With the depletion of spectrum, wireless communication systems turn to exploit large antenna arrays to achieve the degree of freedom in space domain, such as millimeter wave massive multi-input multioutput (MIMO), reconfigurable intelligent surface assisted communications and cell-free massive MIMO.
Information Theory Signal Processing Information Theory
no code implementations • 18 Jan 2021 • Bo Lin, Feifei Gao, Shun Zhang, Ting Zhou, Ahmed Alkhateeb
A critical bottleneck of massive multiple-input multiple-output (MIMO) system is the huge training overhead caused by downlink transmission, like channel estimation, downlink beamforming and covariance observation.
no code implementations • 22 Dec 2020 • Meng Xu, Shun Zhang, Caijun Zhong, Jianpeng Ma, Octavia A. Dobre
The reconfigurable intelligent surface (RIS) is considered as a promising new technology for reconfiguring wireless communication environments.
Information Theory Information Theory
no code implementations • 3 Sep 2020 • Yindi Yang, Shun Zhang, Feifei Gao, Chao Xu, Jianpeng Ma, Octavia A. Dobre
In massive multiple-input multiple-output (MIMO) systems, the large number of antennas would bring a great challenge for the acquisition of the accurate channel state information, especially in the frequency division duplex mode.
no code implementations • 3 Sep 2020 • Shunbo Zhang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre
In this paper, we add signal processing units for a few antennas at RIS to partially acquire the channels.
1 code implementation • 27 Feb 2020 • Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
Brain lesion volume measured on T2 weighted MRI images is a clinically important disease marker in multiple sclerosis (MS).
no code implementations • ICLR 2019 • Yanwei Fu, Shun Zhang, Donghao Li, Xinwei Sun, xiangyang xue, Yuan YAO
This paper proposes a Pruning in Training (PiT) framework of learning to reduce the parameter size of networks.
no code implementations • 24 Apr 2019 • Yanwei Fu, Donghao Li, Xinwei Sun, Shun Zhang, Yizhou Wang, Yuan YAO
This paper proposes a novel Stochastic Split Linearized Bregman Iteration ($S^{2}$-LBI) algorithm to efficiently train the deep network.
no code implementations • 19 Oct 2018 • Shun Zhang, Laixiang Liu, Zhili Chen, Hong Zhong
The results show that the PDP-PMF scheme performs well on protecting the privacy of each user and its recommendation quality is much better than the DP-PMF scheme.
no code implementations • ECCV 2018 • Bo Peng, Wenming Tan, Zheyang Li, Shun Zhang, Di Xie, ShiLiang Pu
In this paper we propose a novel decomposition method based on filter group approximation, which can significantly reduce the redundancy of deep convolutional neural networks (CNNs) while maintaining the majority of feature representation.
2 code implementations • 5 Oct 2017 • Shun Zhang, Jia-Bin Huang, Jongwoo Lim, Yihong Gong, Jinjun Wang, Narendra Ahuja, Ming-Hsuan Yang
Multi-face tracking in unconstrained videos is a challenging problem as faces of one person often appear drastically different in multiple shots due to significant variations in scale, pose, expression, illumination, and make-up.