Search Results for author: Yue Deng

Found 16 papers, 9 papers with code

Modelling infectious disease transmission dynamics in conference environments: An individual-based approach

no code implementations17 Apr 2024 Xue Liu, Yue Deng, Jingying Huang, Yuhong Zhang, Jinzhi Lei

The global public health landscape is perpetually challenged by the looming threat of infectious diseases.

Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation

1 code implementation21 Feb 2024 Quanyu Long, Yue Deng, Leilei Gan, Wenya Wang, Sinno Jialin Pan

To achieve this, we propose a perilous backdoor attack triggered by grammar errors in dense passage retrieval.

Backdoor Attack Misinformation +2

DPoser: Diffusion Model as Robust 3D Human Pose Prior

1 code implementation9 Dec 2023 Junzhe Lu, Jing Lin, Hongkun Dou, Ailing Zeng, Yue Deng, Yulun Zhang, Haoqian Wang

Our approach demonstrates considerable enhancements over common uniform scheduling used in image domains, boasting improvements of 5. 4%, 17. 2%, and 3. 8% across human mesh recovery, pose completion, and motion denoising, respectively.

Denoising Human Mesh Recovery +1

SeaLLMs -- Large Language Models for Southeast Asia

1 code implementation1 Dec 2023 Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen yang, Chaoqun Liu, Hang Zhang, Lidong Bing

Despite the remarkable achievements of large language models (LLMs) in various tasks, there remains a linguistic bias that favors high-resource languages, such as English, often at the expense of low-resource and regional languages.

Instruction Following

SOUL: Towards Sentiment and Opinion Understanding of Language

1 code implementation27 Oct 2023 Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing

These findings underscore the challenging nature of the SOUL task for existing models, emphasizing the need for further advancements in sentiment analysis to address its complexities.

Language Modelling Sentiment Analysis

Multilingual Jailbreak Challenges in Large Language Models

1 code implementation10 Oct 2023 Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing

The experimental results reveal that in the unintentional scenario, the rate of unsafe content increases as the availability of languages decreases.

Sentiment Analysis in the Era of Large Language Models: A Reality Check

1 code implementation24 May 2023 Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing

This paper aims to provide a comprehensive investigation into the capabilities of LLMs in performing various sentiment analysis tasks, from conventional sentiment classification to aspect-based sentiment analysis and multifaceted analysis of subjective texts.

Aspect-Based Sentiment Analysis Few-Shot Learning +2

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis

1 code implementation16 May 2023 Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing

Cross-domain aspect-based sentiment analysis (ABSA) aims to perform various fine-grained sentiment analysis tasks on a target domain by transferring knowledge from a source domain.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2

Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models

no code implementations19 Jan 2023 Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma

In specific, instead of converting multi-channel images into single-channel data in existing fusion methods, we create the multi-channel data distribution with a denoising network in a latent space with forward and reverse diffusion process.

Denoising Infrared And Visible Image Fusion

Recommender systems based on graph embedding techniques: A comprehensive review

1 code implementation20 Sep 2021 Yue Deng

As for alleviating the sparsity and cold start problems encountered by recommender systems, researchers resort to employing side information or knowledge in recommendation as a strategy for uncovering hidden (indirect) user-item relations, aiming to enrich observed information (or data) for recommendation.

Graph Embedding Knowledge Graphs +1

An Alignment-Agnostic Model for Chinese Text Error Correction

no code implementations Findings (EMNLP) 2021 Liying Zheng, Yue Deng, Weishun Song, Liang Xu, Jing Xiao

Most existing models based on detect-correct framework can correct mistaken characters errors, but they cannot deal with missing or redundant characters.

An integral sliding-mode parallel control approach for general nonlinear systems via piecewise affine linear models

no code implementations13 Jan 2021 ChunYang Zhang, Qing Gao, Yue Deng, Jianbin Qiu

The fundamental problem of stabilizing a general nonaffine continuous-time nonlinear system is investigated via piecewise affine linear models (PALMs) in this article.

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection

no code implementations8 Jan 2021 Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan

In recent studies, Lots of work has been done to solve time series anomaly detection by applying Variational Auto-Encoders (VAEs).

Anomaly Detection Time Series +1

An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems

no code implementations15 Sep 2017 Hector Zenil, Narsis A. Kiani, Francesco Marabita, Yue Deng, Szabolcs Elias, Angelika Schmidt, Gordon Ball, Jesper Tegnér

We demonstrate that the algorithmic information content of a system is deeply connected to its potential dynamics, thus affording an avenue for moving systems in the information-theoretic space and controlling them in the phase space.

Causal Discovery Dimensionality Reduction +1

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