no code implementations • 28 May 2025 • Yuxi Zhang, Yueting Li, Xinyu Du, Sibo Wang
Generating images from rhetorical languages remains a critical challenge for text-to-image models.
1 code implementation • 25 May 2025 • Xiping Li, Xiangyu Dong, Xingyi Zhang, Kun Xie, Yuanhao Feng, Bo wang, Guilin Li, Wuxiong Zeng, Xiujun Shu, Sibo Wang
Graph Anomaly Detection (GAD) in heterogeneous networks presents unique challenges due to node and edge heterogeneity.
no code implementations • 11 Feb 2025 • Jiayang Wu, Xingyi Zhang, Xiangyu Dong, Kun Xie, Ziqi Liu, Wensheng Gan, Sibo Wang, Le Song
Antibody co-design represents a critical frontier in drug development, where accurate prediction of both 1D sequence and 3D structure of complementarity-determining regions (CDRs) is essential for targeting specific epitopes.
no code implementations • 11 Feb 2025 • Xingyi Zhang, Kun Xie, Ningqiao Huang, Wei Liu, Peilin Zhao, Sibo Wang, Kangfei Zhao, Biaobin Jiang
Recent advancements in protein design have leveraged diffusion models to generate structural scaffolds, followed by a process known as protein inverse folding, which involves sequence inference on these scaffolds.
1 code implementation • 5 Feb 2025 • Xiangyu Dong, Xingyi Zhang, Lei Chen, Mingxuan Yuan, Sibo Wang
Besides, to address the prevalent issue of limited supervision in real NAD tasks, previous methods tend to leverage synthetic data to collect auxiliary information, which is not an effective solution as shown in our experiments.
1 code implementation • 24 Jan 2025 • Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian Scherer, Xiaonan Huang
We aim to redefine robust ego-motion estimation and photorealistic 3D reconstruction by addressing a critical limitation: the reliance on noise-free data in existing models.
1 code implementation • 24 Jun 2024 • Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang
Embodied agents require robust navigation systems to operate in unstructured environments, making the robustness of Simultaneous Localization and Mapping (SLAM) models critical to embodied agent autonomy.
1 code implementation • 20 Jun 2024 • Sibo Wang, Xiangkui Cao, Jie Zhang, Zheng Yuan, Shiguang Shan, Xilin Chen, Wen Gao
The emergence of Large Vision-Language Models (LVLMs) marks significant strides towards achieving general artificial intelligence.
1 code implementation • 30 May 2024 • Xingyi Zhang, Zixuan Weng, Sibo Wang
In this work, we first show that state-of-the-art embedding approaches that factorize a PPR-related matrix can be unified into a closed-form framework.
no code implementations • 27 May 2024 • Xiangyu Dong, Xingyi Zhang, Yanni Sun, Lei Chen, Mingxuan Yuan, Sibo Wang
We introduce Individual Smoothing Patterns (ISP) and Neighborhood Smoothing Patterns (NSP), which indicate that the representations of anomalous nodes are harder to smooth than those of normal ones.
no code implementations • 21 May 2024 • Yusong Zhang, Kun Xie, Xingyi Zhang, Xiangyu Dong, Sibo Wang
In this work, we introduce the Key Propagation Graph Generator (KPG), a novel reinforcement learning-based framework, that generates contextually coherent and informative propagation patterns for events with insufficient topology information and identifies significant substructures in events with redundant and noisy propagation structures.
1 code implementation • 12 Feb 2024 • Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang
To this end, we propose a novel, customizable pipeline for noisy data synthesis, aimed at assessing the resilience of multi-modal SLAM models against various perturbations.
1 code implementation • CVPR 2024 • Sibo Wang, Jie Zhang, Zheng Yuan, Shiguang Shan
Specifically, PMG-AFT minimizes the distance between the features of adversarial examples in the target model and those in the pre-trained model, aiming to preserve the generalization features already captured by the pre-trained model.
1 code implementation • 4 Oct 2023 • Xiangyu Dong, Xingyi Zhang, Sibo Wang
Moreover, we prove that the accumulated spectral energy of the graph signal can be represented by its Rayleigh Quotient, indicating that the Rayleigh Quotient is a driving factor behind the anomalous properties of graphs.
no code implementations • 3 Jun 2022 • Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang
With the development of numerous GNN variants, recent years have witnessed groundbreaking results in improving the scalability of GNNs to work on static graphs with millions of nodes.
3 code implementations • 9 Dec 2021 • Weijia Wu, Yuanqiang Cai, Debing Zhang, Sibo Wang, Zhuang Li, Jiahong Li, Yejun Tang, Hong Zhou
Most existing video text spotting benchmarks focus on evaluating a single language and scenario with limited data.
1 code implementation • 10 Jun 2021 • Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang
Recent progress on node embedding shows that proximity matrix factorization methods gain superb performance and scale to large graphs with millions of nodes.
1 code implementation • 16 Jul 2020 • Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang
In attributed graphs, both the structure and attribute information can be utilized for link prediction.
1 code implementation • 9 Nov 2019 • Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang
The average accuracy is 93. 56%, compared with 85. 36% from CFMask.
2 code implementations • 5 Dec 2018 • Asad Khan, E. A. Huerta, Sibo Wang, Robert Gruendl, Elise Jennings, Huihuo Zheng
Furthermore, we use our neural network model as a feature extractor for unsupervised clustering and find that unlabeled DES images can be grouped together in two distinct galaxy classes based on their morphology, which provides a heuristic check that the learning is successfully transferred to the classification of unlabelled DES images.