Search Results for author: Sibo Wang

Found 20 papers, 14 papers with code

Towards More Accurate Full-Atom Antibody Co-Design

no code implementations11 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.

Specificity

Fast and Accurate Antibody Sequence Design via Structure Retrieval

no code implementations11 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.

Graph Neural Network Protein Design +1

SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels

1 code implementation5 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.

Anomaly Detection Data Augmentation +1

Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video

1 code implementation24 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.

3D Reconstruction Benchmarking +2

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking

1 code implementation24 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.

Benchmarking NeRF +1

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

1 code implementation20 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.

Language Modeling Language Modelling

Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective

1 code implementation30 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.

SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection

no code implementations27 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.

Anomaly Detection Graph Learning +1

Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator

no code implementations21 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.

Data Augmentation Graph Neural Network

Customizable Perturbation Synthesis for Robust SLAM Benchmarking

1 code implementation12 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.

Benchmarking Simultaneous Localization and Mapping

Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness

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.

Adversarial Robustness Zero-shot Generalization

Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection

1 code implementation4 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.

Anomaly Detection Graph Neural Network

Instant Graph Neural Networks for Dynamic Graphs

no code implementations3 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.

Graph Neural Network

Learning Based Proximity Matrix Factorization for Node Embedding

1 code implementation10 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.

Link Prediction Node Classification

Inductive Link Prediction for Nodes Having Only Attribute Information

1 code implementation16 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.

Attribute Inductive Link Prediction +1

Deep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey

2 code implementations5 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.

Clustering Survey

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