Zixuan Li

ORCID: 0009-0005-4713-3032
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About
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Research Areas
  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Semantic Web and Ontologies
  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Data Quality and Management
  • Underwater Vehicles and Communication Systems
  • Advanced Text Analysis Techniques
  • Fault Detection and Control Systems
  • Advanced Algorithms and Applications
  • Control and Dynamics of Mobile Robots
  • Cognitive Computing and Networks
  • Domain Adaptation and Few-Shot Learning
  • Metaheuristic Optimization Algorithms Research
  • Gut microbiota and health
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Image and Video Retrieval Techniques
  • Mineral Processing and Grinding
  • Robotic Path Planning Algorithms
  • Context-Aware Activity Recognition Systems
  • Speech Recognition and Synthesis
  • Advanced Decision-Making Techniques
  • Wireless Sensor Networks and IoT
  • Coronary Artery Anomalies

Jilin Medical University
2025

Jilin University
2025

Xi'an Jiaotong University
2020-2025

Nanjing Medical University
2025

Shanghai University
2025

Chongqing University of Posts and Telecommunications
2023-2025

Huazhong University of Science and Technology
2024

Harbin Engineering University
2022-2024

Institute of Computing Technology
2021-2024

Chinese Academy of Sciences
2021-2024

Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng. Proceedings of the 59th Annual Meeting Association for Computational Linguistics and 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

10.18653/v1/2021.acl-long.365 article EN cc-by 2021-01-01

Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Jiafeng Guo, Xueqi Cheng. Proceedings of the 60th Annual Meeting Association for Computational Linguistics (Volume 2: Short Papers). 2022.

10.18653/v1/2022.acl-short.32 article EN cc-by 2022-01-01

Abstract High thermal conductivity of polymer composites could be achieved through constructing 3D continuous thermally conductive networks into composites. Herein, we demonstrate a simple, effective method to optimize the segregated alumina by using ternary mixture particles with different diameter ratios (5.8 μm + 2.6 0.5 μm) at fixed total content 60 wt% via conventional melt blending method. The properties epoxy were investigated as function weight fraction and particle size particles....

10.1002/pc.26392 article EN Polymer Composites 2021-11-10

This paper presents a nonsingular terminal sliding mode and active disturbance rejection decoupling control (NTSM-ADRDC) scheme for the three-dimensional (3D) trajectory tracking of autonomous underwater vehicles (AUV). Firstly, AUV model is decoupled into five independent single input–single output (SISO) channels using ADRDC technology. Secondly, NTSM-ADRDC controller designed. The linear extended state observer (LESO) used to observe variables, estimate total system. In addition, improve...

10.3390/jmse11050959 article EN cc-by Journal of Marine Science and Engineering 2023-04-30

Abstract Background The evasion of the immune response by tumor cells through programmed death-ligand 1 (PD-L1) has been identified as a factor contributing to resistance radioimmunotherapy in lung cancer patients. However, precise molecular mechanisms underlying regulation PD-L1 remain incompletely understood. This study aimed investigate role cyclin-dependent kinase-like (CDKL1) modulation expression and cancer. Methods tumorigenic roles CDKL1 were assessed via cell growth, colony...

10.1186/s13046-024-03007-w article EN cc-by Journal of Experimental & Clinical Cancer Research 2024-03-22

A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective timestamps, which adopts quadruples in the form (subject, relation, object, timestamp) to describe dynamic facts. TKG reasoning has facilitated many real-world applications via answering such queries as (query entity, query ?, future about future. This actually matching task between and candidate entities based on their historical structures, reflect behavioral trends at different timestamps. In addition, recent provide...

10.18653/v1/2022.findings-emnlp.542 article EN cc-by 2022-01-01

Abstract Perioperative cognitive dysfunction is a common complication in stroke patients undergoing secondary surgeries. This study investigated the effects of tibial fracture internal fixation (TFIF) surgery on function and gut microbiota mice with history stroke. Using middle cerebral artery occlusion method to induce stroke, we assessed via fear conditioning test analyzed through 16S rRNA sequencing. Compared those normal groups, group that underwent TFIF was significantly impaired. Gut...

10.1515/biol-2022-1061 article EN cc-by-nc-nd Open Life Sciences 2025-01-01

Adequate sleep is of paramount importance for relieving stress and restoring mental vigor. However, the adverse physiological pathological responses resulting from insufficiency or deprivation (SD) are becoming increasingly prevalent. Currently, impact deficiency on gut microbiota microbiota-associated human diseases, especially cardiac remains controversial. Here, we employed following methods: constructed an experimental sleep-deprivation model in mice; conducted 16S rRNA sequencing to...

10.3389/fcimb.2025.1522431 article EN cc-by Frontiers in Cellular and Infection Microbiology 2025-03-05

10.1016/j.psep.2024.05.129 article EN Process Safety and Environmental Protection 2024-05-29

The rapid spread of fake news across digital platforms poses a significant challenge to societies, leading growing demand for robust detection mechanisms. Traditional methods often rely on unimodal data, such as textual content, limiting their effectiveness in addressing the complex, and multimodal nature news. This paper introduces Multimodal Fake News Detector (MFND) that integrates textual, visual, social context features enhance accuracy. makes classification tasks more accurate...

10.54254/2977-3903/2025.20827 article EN cc-by Advances in Engineering Innovation 2025-02-07

The controlled generation and utilization of singlet oxygen (1O2) are crucial for its diverse applications but remain challenging due to high reactivity short‐lived nature. Here, we report a box‐shaped metallacage prepared via multicomponent coordination‐driven self‐assembly using tetrapyridyl perylene diimide (PDI) tetracarboxylate anthracene as building blocks. Upon photo‐irradiation, the PDI faces act photosensitizers generate 1O2, which reacts with pillars form peroxidized metallacage,...

10.1002/anie.202507112 article EN Angewandte Chemie International Edition 2025-04-25

Aspect-based sentiment analysis (ABSA) is a crucial fine-grained task that aims to determine polarity in specific aspect term. Recent research has advanced prediction accuracy by pre-training models on ABSA tasks. However, due the lack of data, those cannot be trained effectively. In this paper, we propose cross-domain generative data augmentation framework (CDGDA) utilizes generation model produce in-domain, sentences learning from similar, coarse-grained datasets out-of-domain. To generate...

10.3390/electronics12132949 article EN Electronics 2023-07-04

Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 1: Papers). 2023.

10.18653/v1/2023.acl-long.610 article EN cc-by 2023-01-01

This study proposes an adaptive robot pathfinding algorithm (MS-W-Theta*) based on fused trajectory smoothing with 3D maps. Firstly, we introduce obstacle buffer in the map, which includes height and volume of AGV when carrying shelves. enhancement improves robot's path traversal narrow spaces. Then, propose improved heuristic function a cost to optimize total algorithm, distribution information map. step increases purposefulness planned path. Finally, original is smoothed using Minimum Snap...

10.1016/j.jksuci.2023.101844 article EN cc-by-nc-nd Journal of King Saud University - Computer and Information Sciences 2023-11-21

ABSTRACT 22q11.2 deletion syndrome (22q11.2DS) is the most common chromosomal microdeletion syndrome. Congenital heart defects are prevalent in 22q11.2DS but etiology still poorly understood. In this study, we aimed to gain mechanistic insights into that result from deletion, with a focus on Slc25a1, which located segment. Whereas global knockout of Slc25a1 mice produced variety malformations, cardiac had little effect development. We then found trophoblast-specific recapitulated anomalies...

10.1242/dev.204290 article EN Development 2024-11-15
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