no code implementations • 4 Jan 2025 • Yingjie Liu, Pengyu Zhang, Ziyao He, Mingsong Chen, Xuan Tang, Xian Wei
Hyperbolic spaces allow for more efficient modeling of complex, hierarchical structures, which is particularly beneficial in tasks involving multi-modal data.
no code implementations • 23 Aug 2024 • Xiangxiang Shen, Zheng Wan, Lingfeng Wen, Licheng Sun, Ou Yang Ming Jie, Jijun Cheng, Xuan Tang, Xian Wei
This dynamic behavior disrupts the underlying periodicity of the lattice, making crystal graphs based on static lattice parameters and conventional descriptors discontinuous under even slight perturbations.
1 code implementation • 22 Aug 2024 • Zhiqiang Wu, Yingjie Liu, Licheng Sun, Jian Yang, Hanlin Dong, Shing-Ho J. Lin, Xuan Tang, Jinpeng Mi, Bo Jin, Xian Wei
Group Equivariant Convolution (GConv) can capture rotational equivariance from original data.
no code implementations • 21 Aug 2024 • Zhiqiang Wu, Yingjie Liu, Hanlin Dong, Xuan Tang, Jian Yang, Bo Jin, Mingsong Chen, Xian Wei
Furthermore, we propose a Relaxed Rotation-Equivariant Network (R2Net) as the backbone and further develop the Symmetry-Breaking Object Detector (SBDet) for 2D object detection built upon it.
no code implementations • 12 Oct 2023 • Zihao Xu, Xuan Tang, Yufei Shi, Jianfeng Zhang, Jian Yang, Mingsong Chen, Xian Wei
To address this problem, we propose a novel replay strategy called Manifold Expansion Replay (MaER).
1 code implementation • 2 Oct 2023 • Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li
We introduce SmartPlay: both a challenging benchmark and a methodology for evaluating LLMs as agents.
1 code implementation • 13 Jun 2023 • Lingfeng Wen, Xuan Tang, Mingjie Ouyang, Xiangxiang Shen, Jian Yang, Daxin Zhu, Mingsong Chen, Xian Wei
In order to simultaneously utilize the data generation capabilities of diffusion models and the ability of hyperbolic embeddings to extract latent hierarchical distributions, we propose a novel graph generation method called, Hyperbolic Graph Diffusion Model (HGDM), which consists of an auto-encoder to encode nodes into successive hyperbolic embeddings, and a DM that operates in the hyperbolic latent space.
no code implementations • 26 Apr 2023 • Hongwei Liu, Jian Yang, Jianfeng Zhang, Dongheng Shao, Jielong Guo, Shaobo Li, Xuan Tang, Xian Wei
Experimental results demonstrate that GeqBevNet can extract more rotational equivariant features in the 3D object detection of the actual road scene and improve the performance of object orientation prediction.
no code implementations • 16 Apr 2023 • Jianzhang Zheng, Hao Shen, Jian Yang, Xuan Tang, Mingsong Chen, Hui Yu, Jielong Guo, Xian Wei
Motivated by the important role of ID, in this paper, we propose a novel deep representation learning approach with autoencoder, which incorporates regularization of the global and local ID constraints into the reconstruction of data representations.
no code implementations • 12 Apr 2023 • Xian Wei, Muyu Wang, Shing-Ho Jonathan Lin, Zhengyu Li, Jian Yang, Arafat Al-Jawari, Xuan Tang
At first, the MGT divides point cloud data into patches with multiple scales.
no code implementations • 11 Mar 2022 • Jianzhang Zheng, Fan Yang, Hao Shen, Xuan Tang, Mingsong Chen, Liang Song, Xian Wei
We propose an algorithmic framework that leverages the advantages of the DNNs for data self-expression and task-specific predictions, to improve image classification.
no code implementations • 27 Dec 2021 • Xian Wei, Yanhui Huang, Yangyu Xu, Mingsong Chen, Hai Lan, Yuanxiang Li, Zhongfeng Wang, Xuan Tang
Learning deep models with both lightweight and robustness is necessary for these equipments.
no code implementations • 27 Dec 2021 • Xian Wei, Bin Wang, Mingsong Chen, Ji Yuan, Hai Lan, Jiehuang Shi, Xuan Tang, Bo Jin, Guozhang Chen, Dongping Yang
To address these problems, a novel method, namely, Vision Reservoir computing (ViR), is proposed here for image classification, as a parallel to ViT.
no code implementations • 24 Mar 2019 • Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Bo Jin, Lijun Zhao, Yi Lu Murphey
There are some inadequacies in the language description of this paper that require further improvement.
no code implementations • 23 Mar 2019 • Hai-Tao Zhang, Lingguo Meng, Xian Wei, Xiaoliang Tang, Xuan Tang, Xingping Wang, Bo Jin, Wei Yao
The complex structure of CNNs results in prohibitive training efforts.