no code implementations • 20 May 2024 • Yanxin Zheng, Wensheng Gan, Zefeng Chen, Zhenlian Qi, Qian Liang, Philip S. Yu
To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed.
no code implementations • 12 May 2024 • Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu, Philip S. Yu
In this paper, we conduct a systematic review of LLMEdu, focusing on current technologies, challenges, and future developments.
no code implementations • 8 Dec 2023 • Zefeng Chen, Wensheng Gan, Jiayang Wu, Kaixia Hu, Hong Lin
The prevalence of online content has led to the widespread adoption of recommendation systems (RSs), which serve diverse purposes such as news, advertisements, and e-commerce recommendations.
no code implementations • 26 Nov 2023 • Jinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi, Philip S. Yu
With the rapid emergence and growing popularity of large models, it is evident that AI will drive transformation in the traditional judicial industry.
no code implementations • 22 Nov 2023 • Wensheng Gan, Zhenlian Qi, Jiayang Wu, Jerry Chun-Wei Lin
By reviewing existing research, this article provides guidance and insights for educators, researchers, and policy-makers to gain a deep understanding of the potential and challenges of LLM4Edu.
no code implementations • 22 Nov 2023 • Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, Philip S. Yu
By addressing these aspects, this paper aims to facilitate a deeper understanding of multimodal models and their potential in various domains.
no code implementations • 13 Nov 2023 • Fanlong Zeng, Wensheng Gan, Yongheng Wang, Ning Liu, Philip S. Yu
Understanding and assessing this intelligence is a complex task.
no code implementations • 10 Nov 2023 • Wensheng Gan, Shicheng Wan, Philip S. Yu
MaaS is a new deployment and service paradigm for different AI-based models.
1 code implementation • 28 Sep 2023 • Chunkai Zhang, Maohua Lyu, Huaijin Hao, Wensheng Gan, Philip S. Yu
For artificial intelligence, high-utility sequential rule mining (HUSRM) is a knowledge discovery method that can reveal the associations between events in the sequences.
no code implementations • 26 Mar 2023 • Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, Hong Lin
To address the challenges of digital intelligence in the digital economy, artificial intelligence-generated content (AIGC) has emerged.
no code implementations • 23 Mar 2023 • Yao Chen, Shan Huang, Wensheng Gan, Gengsen Huang, Yongdong Wu
In this paper, we review some of the early advances of FL4M, which will be a research direction with unlimited development potential.
1 code implementation • 29 Dec 2022 • Chunkai Zhang, Yuting Yang, Zilin Du, Wensheng Gan, Philip S. Yu
High-utility sequential pattern mining (HUSPM) has emerged as an important topic due to its wide application and considerable popularity.
no code implementations • 20 Dec 2022 • Gengsen Huang, Wensheng Gan, Philip S. Yu
An algorithm called Sequence Utility Maximization with Utility occupancy measure (SUMU) is proposed.
no code implementations • 20 Dec 2022 • Xinhong Chen, Wensheng Gan, Shicheng Wan, Tianlong Gu
In this paper, combined with the Minimum Description Length (MDL) principle and under the two metrics (support and confidence), we introduce the problem of compression of SRM and also propose a solution named ComSR for MDL-based compressing of sequential rules based on the designed sequential rule coding scheme.
no code implementations • 27 Nov 2022 • Yao Chen, Yijie Gui, Hong Lin, Wensheng Gan, Yongdong Wu
For the purpose of advancing the research in this field, building a robust FL system, and realizing the wide application of FL, this paper sorts out the possible attacks and corresponding defenses of the current FL system systematically.
no code implementations • 27 Oct 2022 • Lili Chen, Wensheng Gan, Chien-Ming Chen
To compensate for this deficiency, high-utility sequential rule mining (HUSRM) is designed to explore the confidence or probability of predicting the occurrence of consequence sequential patterns based on the appearance of premise sequential patterns.
no code implementations • 27 Sep 2022 • Chunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu
TotalSR creates a utility table that can efficiently calculate antecedent support and a utility prefix sum list that can compute the remaining utility in O(1) time for a sequence.
no code implementations • 27 Sep 2022 • Yao Chen, Wensheng Gan, Yongdong Wu, Philip S. Yu
Contrast pattern mining (CPM) is an important and popular subfield of data mining.
no code implementations • 27 Aug 2022 • Jiahui Chen, Xu Guo, Wensheng Gan, Shichen Wan, Philip S. Yu
Compared with traditional utility mining, OSUM can find more practical and meaningful patterns in real-life applications.
no code implementations • 26 Aug 2022 • Shicheng Wan, Zhenqiang Ye, Wensheng Gan, Jiahui Chen
In this paper, we propose a novel one-phase temporal fuzzy utility itemset mining approach called TFUM.
no code implementations • 26 Aug 2022 • Jiahui Chen, Yixin Xu, Shicheng Wan, Wensheng Gan, Jerry Chun-Wei Lin
As an important data mining technology, high utility itemset mining (HUIM) is used to find out interesting but hidden information (e. g., profit and risk).
no code implementations • 9 Jun 2022 • Jinbao Miao, Wensheng Gan, Shicheng Wan, Yongdong Wu, Philippe Fournier-Viger
In this paper, we address this issue by proposing a novel list-based algorithm with pattern matching mechanism, named THUIM (Targeted High-Utility Itemset Mining), which can quickly match high-utility itemsets during the mining process to select the targeted patterns.
no code implementations • 9 Jun 2022 • Wensheng Gan, Gengsen Huang, Jian Weng, Tianlong Gu, Philip S. Yu
In this paper, we provide the relevant definitions of target sequential rule and formulate the problem of targeted sequential rule mining.
no code implementations • 9 Jun 2022 • Qi Lin, Wensheng Gan, Yongdong Wu, Jiahui Chen, Chien-Ming Chen
Big data technologies such as design making, event detection, and classification are developed to help manufacturing organizations to achieve smart systems.
no code implementations • 26 Feb 2022 • Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu
To fulfill this gap, in this paper, we first propose a general profit-oriented framework to address the problem of revenue maximization based on economic behavior, and compute the 0n-shelf Popular and most Profitable Products (OPPPs) for the targeted marketing.
no code implementations • 26 Feb 2022 • Gengsen Huang, Wensheng Gan, Philip S. Yu
What's more, to improve the efficiency of TaSPM on large-scale datasets and multiple-items-based sequence datasets, we propose several pruning strategies to reduce meaningless operations in mining processes.
no code implementations • 29 Nov 2021 • Wensheng Gan, Lili Chen, Shicheng Wan, Jiahui Chen, Chien-Ming Chen
Analyzing sequence data usually leads to the discovery of interesting patterns and then anomaly detection.
no code implementations • 29 Nov 2021 • Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu
High utility sequential pattern mining (HUSPM) is one kind of utility-driven mining.
no code implementations • 24 Nov 2021 • Chien-Ming Chen, Lili Chen, Wensheng Gan
Based on the analysis of the proportion of utility in the supporting transactions used in the field of data mining, high utility-occupancy pattern mining (HUOPM) has recently attracted widespread attention.
no code implementations • 30 Oct 2021 • Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen
The algorithm uses a lexicographic querying tree and three effective pruning strategies to improve the mining efficiency.
no code implementations • 11 Mar 2021 • Yanling Cui, Wensheng Gan, Hong Lin, Weimin Zheng
In some cases, infrequent or rare itemsets and rare association rules also play an important role in real-life applications.
Databases
no code implementations • 31 Dec 2020 • Jiahui Chen, Wensheng Gan, Muchuang Hu, Chien-Ming Chen
In addition, traditional proof of work (PoW)-based consensus protocols such as Bitcoin cannot supply memory mining, and the transaction capacity of each block in a blockchain is limited and needs to be expanded.
Cryptography and Security
no code implementations • 18 Aug 2020 • Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding
To find patterns that can represent the supporting transaction, a recent study was conducted to mine high utility-occupancy patterns whose contribution to the utility of the entire transaction is greater than a certain value.
Databases