1 code implementation • CVPR 2021 • Shuang Li, Jinming Zhang, Wenxuan Ma, Chi Harold Liu, Wei Li
Domain adaptation (DA) enables knowledge transfer from a labeled source domain to an unlabeled target domain by reducing the cross-domain distribution discrepancy.
1 code implementation • ICCV 2023 • Wenxuan Ma, Shuang Li, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang
To address this issue, this paper presents a novel approach that seeks to leverage linguistic knowledge for data-efficient visual learning.
1 code implementation • 2 Aug 2022 • Wenxuan Ma, Jinming Zhang, Shuang Li, Chi Harold Liu, Yulin Wang, Wei Li
To alleviate these issues, we propose to simultaneously conduct feature alignment in two individual spaces focusing on different domains, and create for each space a domain-oriented classifier tailored specifically for that domain.
1 code implementation • CVPR 2023 • Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu
A classical solution to DG is domain augmentation, the common belief of which is that diversifying source domains will be conducive to the out-of-distribution generalization.
no code implementations • 12 Oct 2018 • Xiao Li, Hanchen Xu, Jinming Zhang, Hua-hua Chang
To this end, we first develop a model for students' hierarchical skills in the E-learning system.
no code implementations • 17 Apr 2020 • Xiao Li, Hanchen Xu, Jinming Zhang, Hua-hua Chang
In this paper, we formulate the adaptive learning problem---the problem of how to find an individualized learning plan (called policy) that chooses the most appropriate learning materials based on learner's latent traits---faced in adaptive learning systems as a Markov decision process (MDP).
no code implementations • 25 Nov 2021 • Wenxuan Ma, Jinming Zhang, Shuang Li, Chi Harold Liu, Yulin Wang, Wei Li
Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain.
no code implementations • 12 Mar 2022 • Chenhao Qi, Wei Ci, Jinming Zhang, Xiaohu You
In this letter, we consider hybrid beamforming for millimeter wave (mmWave) MIMO integrated sensing and communications (ISAC).
no code implementations • 9 Feb 2023 • Maciej P. Polak, Shrey Modi, Anna Latosinska, Jinming Zhang, Ching-Wen Wang, Shanonan Wang, Ayan Deep Hazra, Dane Morgan
In this paper we present a simple method of extracting materials data from full texts of research papers suitable for quickly developing modest-sized databases.
no code implementations • ICCV 2023 • Mengxue Kang, Jinpeng Zhang, Jinming Zhang, Xiashuang Wang, Yang Chen, Zhe Ma, Xuhui Huang
However, previous works on feature distillation heavily rely on low-level feature information, while under-exploring the importance of high-level semantic information.
no code implementations • 25 Nov 2023 • Chenhao Qi, Jing Wang, Leyi Lyu, Lei Tan, Jinming Zhang, Geoffrey Ye Li
The long-distance wireless signal propagation in NTNs leads to severe path loss and large latency, where the accurate acquisition of channel state information (CSI) is another challenge, especially for fast-moving non-terrestrial base stations (NTBSs).