no code implementations • 23 Apr 2024 • Shibo Li, Hengliang Cheng, Weihua Li
The widespread application of Electronic Health Records (EHR) data in the medical field has led to early successes in disease risk prediction using deep learning methods.
no code implementations • 9 Apr 2024 • Jianhua Jiang, Ziying Zhao, Weihua Li, Keqin Li
To tackle these problems, an enhanced Grey Wolf Optimizer with Elite Inheritance Mechanism and Balance Search Mechanism, named as EBGWO, is proposed to improve the effectiveness of the position updating and the quality of the convergence solutions.
no code implementations • 7 Apr 2024 • Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Verica Rupar
While preference-based recommendation algorithms effectively enhance user engagement by recommending personalized content, they often result in the creation of ``filter bubbles''.
no code implementations • 19 Feb 2024 • Guan Wang, Rebecca Frederick, Jinglong Duan, William Wong, Verica Rupar, Weihua Li, Quan Bai
In this paper, we delve into the rapidly evolving challenge of misinformation detection, with a specific focus on the nuanced manipulation of narrative frames - an under-explored area within the AI community.
1 code implementation • 21 Aug 2023 • Hangting Chen, Jianwei Yu, Yi Luo, Rongzhi Gu, Weihua Li, Zhuocheng Lu, Chao Weng
Echo cancellation and noise reduction are essential for full-duplex communication, yet most existing neural networks have high computational costs and are inflexible in tuning model complexity.
no code implementations • 6 Jul 2023 • Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai
This approach endeavors to transcend the constraints of the filter bubble, enrich recommendation diversity, and strike a belief balance among users while also catering to user preferences and system-specific business requirements.
no code implementations • 26 May 2023 • Guan Wang, Weihua Li, Edmund M-K. Lai, Quan Bai
In this paper, we propose an Aspect-adaptive Knowledge-based Opinion Summarization model for product reviews, which effectively captures the adaptive nature required for opinion summarization.
no code implementations • 1 Mar 2023 • Jingli Shi, Weihua Li, Quan Bai, Yi Yang, Jianhua Jiang
Aspect term extraction is a fundamental task in fine-grained sentiment analysis, which aims at detecting customer's opinion targets from reviews on product or service.
1 code implementation • 23 Feb 2023 • Yuhan Dai, Zhirui Zhang, Qiuzhi Liu, Qu Cui, Weihua Li, Yichao Du, Tong Xu
$k$NN-MT is a straightforward yet powerful approach for fast domain adaptation, which directly plugs pre-trained neural machine translation (NMT) models with domain-specific token-level $k$-nearest-neighbor ($k$NN) retrieval to achieve domain adaptation without retraining.
no code implementations • 2 Feb 2023 • Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai
In this paper, we propose a novel method to address the complex problem of news recommendation.
1 code implementation • 13 Jan 2023 • Chaofan Ling, Weihua Li, Junpei Zhong
Inspired by the predictive coding hypothesis and related works, the total model is updated through a combination of bottom-up and top-down information flows, which can enhance the interaction between different network levels.
1 code implementation • 22 Dec 2022 • Chaofan Ling, Junpei Zhong, Weihua Li
We present a multi-scale predictive coding model for future video frames prediction.
no code implementations • 6 Dec 2022 • Guan Wang, Weihua Li, Edmund Lai, Jianhua Jiang
The results reveal that the proposed framework can effectively utilise the information from Knowledge Graph and significantly reduce the factual errors in the summary.
no code implementations • 19 Nov 2022 • Yi Yang, Zhong-Qiu Zhao, Quan Bai, Qing Liu, Weihua Li
Due to the dynamic nature, the proposed algorithms can also estimate true labels online without re-visiting historical data.
no code implementations • 18 Oct 2022 • Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai
Recently, diffusion models have been proven to perform remarkably well in text-to-image synthesis tasks in a number of studies, immediately presenting new study opportunities for image generation.
Ranked #1 on Text-to-Image Generation on Multi-Modal-CelebA-HQ
1 code implementation • 15 Aug 2022 • Chaofan Ling, Junpei Zhong, Weihua Li
The update frequency of neural units on each of the layer decreases with the increasing of network levels, which results in neurons of higher-level can capture information in longer time dimensions.
1 code implementation • 17 Mar 2022 • Shiqing Wu, Weihua Li, Quan Bai
The experimental results indicate that GAC can learn and apply effective incentive allocation policies in unknown social networks and outperform existing incentive allocation approaches.
no code implementations • 13 Jul 2021 • Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
To tackle the aforementioned challenges, in this paper, we propose a novel algorithm for exploring influential users in unknown networks, which can estimate the influential relationships among users based on their historical behaviors and without knowing the topology of the network.
no code implementations • 18 Jun 2021 • Jingli Shi, Weihua Li, Sira Yongchareon, Yi Yang, Quan Bai
However, detecting concerns in time from massive information in social media turns out to be a big challenge, especially when sufficient manually labeled data is in the absence of public health emergencies, e. g., COVID-19.
no code implementations • 20 May 2021 • Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo
Chinese word segmentation (CWS) is the basic of Chinese natural language processing (NLP).
no code implementations • 14 Apr 2021 • Weihua Li, Yuxuan Hu, Shiqing Wu, Quan Bai, Edmund Lai
A key step in influence maximization in online social networks is the identification of a small number of users, known as influencers, who are able to spread influence quickly and widely to other users.
no code implementations • 1 Feb 2021 • Xing Su, Yan Kong, Weihua Li
Computer-based modelling and simulation have become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science.
no code implementations • 27 Jan 2021 • Jiaqi Wu, Weihua Li, Quan Bai, Takayuki Ito, Ahmed Moustafa
A large amount of information has been published to online social networks every day.
no code implementations • 12 Aug 2017 • Shihao Zhang, Weiyao Lin, Ping Lu, Weihua Li, Shuo Deng
Object detection is an important yet challenging task in video understanding & analysis, where one major challenge lies in the proper balance between two contradictive factors: detection accuracy and detection speed.