no code implementations • 30 May 2024 • Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Shaun M. Eack, Travis Labrum, Samuel M. Murphy, Nev Jones, Kate Hardy, Hong Shen, Fei Fang, Zhiyu Zoey Chen
We propose an interactive training scheme, PATIENT-{\Psi}-TRAINER, for mental health trainees to practice a key skill in CBT -- formulating the cognitive model of the patient -- through role-playing a therapy session with PATIENT-{\Psi}.
1 code implementation • 11 Apr 2024 • Yi Sun, Hong Shen, Bingqing Li, Wei Xu, Pengcheng Zhu, Nan Hu, Chunming Zhao
The receiver design for multi-input multi-output (MIMO) ultra-reliable and low-latency communication (URLLC) systems can be a tough task due to the use of short channel codes and few pilot symbols.
no code implementations • 11 Oct 2023 • Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang
Biomarker detection is an indispensable part in the diagnosis and treatment of low-grade glioma (LGG).
no code implementations • 24 Jul 2023 • Yi Sun, Hong Shen, Wei Xu, Nan Hu, Chunming Zhao
Furthermore, a robust detection network RADMMNet is constructed by unfolding the ADMM iterations and employing both model-driven and data-driven philosophies.
no code implementations • 17 Mar 2023 • Tzu-Sheng Kuo, Hong Shen, Jisoo Geum, Nev Jones, Jason I. Hong, Haiyi Zhu, Kenneth Holstein
Our findings demonstrate that stakeholders, even without AI knowledge, can provide specific and critical feedback on an AI system's design and deployment, if empowered to do so.
no code implementations • 4 Jan 2023 • Tianshu Chen, Hong Shen, Aiqun Hu, Weihang He, Jie Xu, Hongxing Hu
Then, we remove the impact of the wireless channel based on the channel estimate and obtain initial RFF features.
no code implementations • 7 Oct 2022 • Wesley Hanwen Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen, Motahhare Eslami, Kenneth Holstein
Recent years have seen growing interest among both researchers and practitioners in user-engaged approaches to algorithm auditing, which directly engage users in detecting problematic behaviors in algorithmic systems.
no code implementations • 14 May 2022 • Wenhao Huang, Haifan Gong, huan zhang, Yu Wang, Haofeng Li, Guanbin Li, Hong Shen
CT-based bronchial tree analysis plays an important role in the computer-aided diagnosis for respiratory diseases, as it could provide structured information for clinicians.
no code implementations • 22 Apr 2022 • Hong Shen, Ángel Alexander Cabrera, Adam Perer, Jason Hong
This position paper offers a framework to think about how to better involve human influence in algorithmic decision-making of contentious public policy issues.
no code implementations • 21 Dec 2021 • Xin Wang, Hong Shen
Coflow is a recently proposed networking abstraction to help improve the communication performance of data-parallel computing jobs.
no code implementations • 29 Sep 2021 • Jin Luo, Hong Shen, YanFeng Hu, Chen Peng
Temporal knowledge graph completion (TKGC) is a challenging task to infer the missing component for quadruples.
no code implementations • 18 Jun 2021 • Yi Sun, Hong Shen, Zhenguo Du, Lan Peng, Chunming Zhao
A novel intercarrier interference (ICI)-aware orthogonal frequency division multiplexing (OFDM) channel estimation network ICINet is presented for rapidly time-varying channels.
no code implementations • 24 Feb 2021 • Min Ju, Xuhao Wu, Fan Ji, Jinniu Hu, Hong Shen
Using a consistent value of B in the QMC model and quark matter, we find that hadron-quark pasta phases are formed in the interior of massive stars, but no pure quark matter can exist.
Nuclear Theory
no code implementations • 20 Jan 2021 • Luodi Xie, Hong Shen, Jiaxin Ren
In this paper, We propose a novel method called Network Embedding on the Metric of Relation, abbreviated as NEMR, which can learn the embeddings of nodes in a relational metric space efficiently.
no code implementations • 14 Jan 2021 • Xuhao Wu, Shishao Bao, Hong Shen, Renxin Xu
The constraints from the mass of 2. 6 $M_{\odot}$ and the tidal deformability $\Lambda_{1. 4}=616_{-158}^{+273}$ (based on the assumption that GW190814 is a neutron star-black hole binary) can be satisfied as the slope of symmetry energy $L \leq 50$ MeV.
Nuclear Theory High Energy Astrophysical Phenomena
no code implementations • 22 Oct 2020 • Hong Shen, Wesley Hanwen Deng, Aditi Chattopadhyay, Zhiwei Steven Wu, Xu Wang, Haiyi Zhu
In this paper, we present Value Card, an educational toolkit to inform students and practitioners of the social impacts of different machine learning models via deliberation.
no code implementations • 3 Feb 2020 • Zhigang Lu, Hong Shen
This problem severely impacts the clustering quality and the efficiency of a differentially private algorithm.
no code implementations • 12 Oct 2018 • Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng
Specifically, we consider both the generative processes of users and items, and the prior of latent factors of users and items to be side informationspecific, which enables our model to alleviate matrix sparsity and learn better latent representations of users and items.