Search Results for author: Yuxiang Wang

Found 15 papers, 7 papers with code

PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks

no code implementations COLING 2022 Pengwei Zhan, Chao Zheng, Jing Yang, Yuxiang Wang, Liming Wang, Yang Wu, Yunjian Zhang

Previous works on word-level attacks widely use word importance ranking (WIR) methods and complex search methods, including greedy search and heuristic algorithms, to find optimal substitutions.

Adversarial Text

TempCompass: Do Video LLMs Really Understand Videos?

1 code implementation1 Mar 2024 Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei LI, Sishuo Chen, Xu sun, Lu Hou

Motivated by these two problems, we propose the \textbf{TempCompass} benchmark, which introduces a diversity of temporal aspects and task formats.

Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model

1 code implementation4 Dec 2023 Yuxia Geng, Jiaoyan Chen, Yuhang Zeng, Zhuo Chen, Wen Zhang, Jeff Z. Pan, Yuxiang Wang, Xiaoliang Xu

Accordingly, we propose a new KGC method named PDKGC with two prompts -- a hard task prompt which is to adapt the KGC task to the PLM pre-training task of token prediction, and a disentangled structure prompt which learns disentangled graph representation so as to enable the PLM to combine more relevant structure knowledge with the text information.

Knowledge Graph Completion Language Modelling

Routing-Guided Learned Product Quantization for Graph-Based Approximate Nearest Neighbor Search

1 code implementation30 Nov 2023 Qiang Yue, Xiaoliang Xu, Yuxiang Wang, Yikun Tao, Xuliyuan Luo

It suffers from the large-scale $\mathcal{X}$ because a PG with full vectors is too large to fit into the memory, e. g., a billion-scale $\mathcal{X}$ in 128 dimensions would consume nearly 600 GB memory.


Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning

no code implementations24 Oct 2023 Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang

For graph self-supervised learning (GSSL), masked autoencoder (MAE) follows the generative paradigm and learns to reconstruct masked graph edges or node features.

Contrastive Learning Graph Classification +4

Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing

no code implementations1 Oct 2023 Wenjie Liu, Junxiu Chen, Yuxiang Wang, Peipei Gao, Zhibin Lei, Xu Ma

The complex systems with edge computing require a huge amount of multi-feature data to extract appropriate insights for their decision making, so it is important to find a feasible feature selection method to improve the computational efficiency and save the resource consumption.

Computational Efficiency Decision Making +2

DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex

no code implementations30 Sep 2023 Jiongkang Ni, Xiaoliang Xu, Yuxiang Wang, Can Li, Jiajie Yao, Shihai Xiao, Xuecang Zhang

The main drawback of graph-based ANNS is that a graph index would be too large to fit into the memory especially for a large-scale $\mathcal{X}$.


A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets

no code implementations23 Sep 2023 Wenjie Liu, Peipei Gao, Yuxiang Wang, Wenbin Yu, Maojun Zhang

In order to solve the problem of non-ideal training sets (i. e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on unitary weights is proposed, where the singular value decomposition of the total weight matrix from the training set is calculated to make the weight matrix to be unitary.

AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder

no code implementations31 Jul 2023 Tianxing Wu, Xudong Cao, Yipeng Zhu, Feiyue Wu, Tianling Gong, Yuxiang Wang, Shenqi Jing

To easily obtain the knowledge about autism spectrum disorder and help its early screening and diagnosis, we create AsdKB, a Chinese knowledge base on autism spectrum disorder.

Question Answering

HRTF Field: Unifying Measured HRTF Magnitude Representation with Neural Fields

2 code implementations27 Oct 2022 You Zhang, Yuxiang Wang, Zhiyao Duan

In this work, we propose to use neural fields, a differentiable representation of functions through neural networks, to model HRTFs with arbitrary spatial sampling schemes.

Predicting Global Head-Related Transfer Functions From Scanned Head Geometry Using Deep Learning and Compact Representations

1 code implementation28 Jul 2022 Yuxiang Wang, You Zhang, Zhiyao Duan, Mark Bocko

For the HRTF data, we use truncated spherical harmonic (SH) coefficients to represent the HRTF magnitudes and onsets.

COVID-19 Fake News Detection Using Bidirectional Encoder Representations from Transformers Based Models

1 code implementation30 Sep 2021 Yuxiang Wang, Yongheng Zhang, Xuebo Li, Xinyao Yu

The model performance evaluation results showcase that our best model (BERT finetuned model with frozen parameters plus BiLSTM layers) achieves state-of-the-art results towards COVID-19 fake news detection task.

Fake News Detection

Identifying modulation formats using integrated clustering algorithm

no code implementations28 Apr 2021 Wenbo Zhang, Jinmei Ye, Zixian Yue, Yuxiang Wang, Xulun Zhang, Xiaoguang Zhang, Lixia Xi

Modulation format identification (MFI) is crucial in next-generation optical networks such as cognitive optical networks.


A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

1 code implementation29 Jan 2021 Mengzhao Wang, Xiaoliang Xu, Qiang Yue, Yuxiang Wang

Approximate nearest neighbor search (ANNS) constitutes an important operation in a multitude of applications, including recommendation systems, information retrieval, and pattern recognition.

Information Retrieval Recommendation Systems +1

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