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- research-articleOctober 2024
LLM4Workflow: An LLM-based Automated Workflow Model Generation Tool
ASE '24: Proceedings of the 39th IEEE/ACM International Conference on Automated Software EngineeringPages 2394–2398https://doi.org/10.1145/3691620.3695360Workflows are pervasive in software systems where business processes and scientific methods are implemented as workflow models to achieve automated process execution. However, despite the benefit of no/low-code workflow automation, creating workflow ...
- short-paperJuly 2024
LLMGR: Large Language Model-based Generative Retrieval in Alipay Search
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 2847–2851https://doi.org/10.1145/3626772.3661364The search system aims to help users quickly find items according to queries they enter, which includes the retrieval and ranking modules. Traditional retrieval is a multi-stage process, including indexing and sorting, which cannot be optimized end-to-...
- research-articleMay 2024
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search
WWW '24: Proceedings of the ACM Web Conference 2024Pages 1509–1518https://doi.org/10.1145/3589334.3645574Session search involves a series of interactive queries and actions to fulfill user's complex information need. Current strategies typically prioritize sequential modeling for deep semantic understanding, overlooking the graph structure in interactions. ...
- research-articleJuly 2024
Enhancement of edge-based surveillance videos based on bilateral filtering
Computer Communications (COMS), Volume 219, Issue CPages 19–28https://doi.org/10.1016/j.comcom.2024.01.031AbstractDigital pictures are modified during the process of image enhancement to provide outcomes that are more suited for display or additional image analysis. Up to now, many achievements have been made in the field of image enhancement processing. ...
- research-articleMarch 2024
Multi-Agent Deep Reinforcement Learning Based Scheduling Approach for Mobile Charging in Internet of Electric Vehicles
IEEE Transactions on Mobile Computing (ITMV), Volume 23, Issue 10Pages 10130–10145https://doi.org/10.1109/TMC.2024.3373410Mobile charging stations (MCSs) have become an indispensable complement of fixed charging stations. In the regions where fixed charging stations are sparsely deployed or even absent, the main concern is that how to properly schedule MCSs to charge the ...
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- research-articleFebruary 2024
On Exploring the Carrying-Charging Demand Balance in Cruising Route Recommendation for Vacant Electric Taxis
IEEE Transactions on Mobile Computing (ITMV), Volume 23, Issue 10Pages 9567–9581https://doi.org/10.1109/TMC.2024.3364654As the gasoline taxis are gradually restricted due to the increased environmental awareness, electric taxis (E-taxis) have become a more environmentally friendly choice to provide the transportation service. When some E-taxis are vacant, they typically ...
- research-articleApril 2024
Disulfidptosis-related lncRNA signatures assess immune microenvironment and drug sensitivity in hepatocellular carcinoma
Computers in Biology and Medicine (CBIM), Volume 169, Issue Chttps://doi.org/10.1016/j.compbiomed.2024.107930AbstractHepatocellular carcinoma (HCC) is associated with a high mortality rate, where resistance to immunotherapy and chemotherapy plays a crucial role. A newly identified form of cell death called disulfidptosis shows promise, but its biological ...
Highlights- A prognostic model was developed for disulfidptosis-related long non-coding RNAs (DRLs) to elevated immune infiltration and immune checkpoint gene expression.
- The novel DRL AC026412.3 promoted HCC cell proliferation and induced ...
- research-articleMay 2024
Fair canonical correlation analysis
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsArticle No.: 163, Pages 3675–3705This paper investigates fairness and bias in Canonical Correlation Analysis (CCA), a widely used statistical technique for examining the relationship between two sets of variables. We present a framework that alleviates unfairness by minimizing the ...
- research-articleDecember 2023
Cooperative Scheduling for Directional Wireless Charging With Spatial Occupation
IEEE Transactions on Mobile Computing (ITMV), Volume 23, Issue 1Pages 286–301https://doi.org/10.1109/TMC.2022.3214979Wireless Power Transfer (WPT) technology has been developed rapidly in recent years. The cooperative charging model and corresponding scheduling methods have been proposed to save the charging cost in paid charging service. However, the state-of-the-art ...
- research-articleDecember 2023
Improving knowledge tracing via a heterogeneous information network enhanced by student interactions
Expert Systems with Applications: An International Journal (EXWA), Volume 232, Issue Chttps://doi.org/10.1016/j.eswa.2023.120853AbstractKnowledge tracing (KT) aims to evaluate the knowledge state of students based on their coursework interactions in an intelligent tutoring system (ITS). It is the most fundamental and challenging task in the system. Existing KT models have ...
- research-articleJuly 2024
"Research on the Optimization of Agricultural Product Uplink(APU) Traceability System with\"Internet+Blockchain\" Technology"
AIMSCM '23: Proceedings of the 2023 International Conference on AI and Metaverse in Supply Chain ManagementArticle No.: 36, Pages 1–0https://doi.org/10.1145/3648050.3648086The main strategy for developing rural e-commerce in China is to effectively reorganize the upstream agricultural product distribution chain while encouraging the export of some of the local agricultural products to meet the growing demand for specialty ...
- research-articleSeptember 2024
EXPRESS 2.0: An Intelligent Service Management Framework for AIoT Systems in the Edge
ASE '23: Proceedings of the 38th IEEE/ACM International Conference on Automated Software EngineeringPages 2022–2025https://doi.org/10.1109/ASE56229.2023.00020AIoT (Artificial Intelligence of Things) which integrates AI and IoT has received rapidly growing interest from the software engineering community in recent years. It is crucial to design scalable, efficient, and reliable software solutions for large-...
- research-articleNovember 2023
A Placement Strategy for Idle Mobile Charging Stations in IoEV: From the View of Charging Demand Force
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 5Pages 3870–3884https://doi.org/10.1109/TITS.2023.3329453At present, mobile charging stations (MCSs) are taken as an important complement of fixed charging stations. Currently, the strategy of MCSs is to move towards the electric vehicles to be charged (EVCs) only after being requested. To shorten the charging ...
- research-articleNovember 2023
AdaML: An Adaptive Meta-Learning model based on user relevance for user cold-start recommendation
AbstractUser cold-start recommendation is a critical problem due to the sparse user–item interactions of new users. To address this issue, an emerging popular direction employs the meta-learning paradigm, which can quickly adapt to new tasks with ...
Highlights- We propose a novel adaptive meta-learning model named AdaML based on user relevance for user cold-start recommendation.
- We comprehensively use the meta-path based and clustering based strategies to better identify users with similar ...
- research-articleNovember 2023
Heterogeneous and clustering-enhanced personalized preference transfer for cross-domain recommendation
AbstractAs a promising solution to alleviate the critical cold-start problem in recommendation systems, Cross-Domain Recommendation (CDR) aims to transfer users’ preferences from the source domain to the target domain. However, the negligence of semantic ...
Highlights- User cold-start problem in recommendation systems investigated.
- Cross-domain recommendation enhanced in content and method.
- Common scenario of two domains and partially overlapping users analyzed.
- Explicit user–item and ...
- research-articleOctober 2023
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning
- Chen Jiang,
- Hong Liu,
- Xuzheng Yu,
- Qing Wang,
- Yuan Cheng,
- Jia Xu,
- Zhongyi Liu,
- Qingpei Guo,
- Wei Chu,
- Ming Yang,
- Yuan Qi
MM '23: Proceedings of the 31st ACM International Conference on MultimediaPages 4626–4636https://doi.org/10.1145/3581783.3612006In recent years, the explosion of web videos makes text-video retrieval increasingly essential and popular for video filtering, recommendation, and search. Text-video retrieval aims to rank relevant text/video higher than irrelevant ones. The core of ...
- research-articleOctober 2023
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementPages 4516–4522https://doi.org/10.1145/3583780.3615457Relevance modeling aims to locate desirable items for corresponding queries, which is crucial for search engines to ensure user experience. Although most conventional approaches address this problem by assessing the semantic similarity between the query ...
- ArticleMarch 2024
TBAF: A Two-Stage Biometric-Assisted Authentication Framework in Edge-Integrated UAV Delivery System
Algorithms and Architectures for Parallel ProcessingPages 168–188https://doi.org/10.1007/978-981-97-0862-8_11AbstractEdge-Integrated Unmanned Aerial Vehicles (UAVs) delivery systems have demonstrated the advantage of higher efficiency and lower latency in comparison with traditional intelligent delivery systems. But with its rapid development, a series of ...
- research-articleSeptember 2023
Understanding the effects of the textual complexity on government communication: Insights from China’s online public service platform
Highlights- Text analytics to explore the communication between governments and citizens on China’s online public service platform.
While texts are the primary carriers of information for government decision making, few studies have examined the role of textual complexity in government-citizen communication. Using a variety of natural language processing methods, ...
- research-articleAugust 2023
Robust Fault-Tolerant Placement of Wireless Chargers for Directional Charging
IEEE Transactions on Mobile Computing (ITMV), Volume 23, Issue 5Pages 5295–5309https://doi.org/10.1109/TMC.2023.3304658Wireless Power Transmission (WPT) has been widely used to replenish energy for wireless rechargeable sensor networks. This paper concerns the fundamental issue of robust fault-tolerant placement of wireless chargers for directional charging. Following the ...