KSEM (1)

Publications

2024

Luyao Yu, Qi Zhang, Chongyang Shi, An Lao, Liang Xiao
Reinforced Subject-Aware Graph Neural Network for Related Work Generation. KSEM (1) (2024)
Dongjie Yuan, Bin Yuan, Yan Zhong
Multi-label Feature Selection with Adaptive Subspace Learning. KSEM (1) (2024)
Rong Qian, ZongFang Lv, YuChen Zhou, ZiQiang Fu, XiaoYu Liu, KeJun Zhang, ZhongKun Ye
Link Prediction Based on Deep Global Information in Heterogeneous Graph. KSEM (1) (2024)
Pengfei Jing, Jiguo Liu, Chao Liu, Meimei Li
EFCC-IeT: Cross-Modal Electronic File Content Correlation via Image-Enhanced Text. KSEM (1) (2024)
Xingyuan Li, Wei Hu, Jianhua Lu, Fang Liu, Mingce Hu, Yi Han
Performance Enhancement Strategies for Node Classification Based on Graph Community Structure Recognition. KSEM (1) (2024)
Jinlong Liu, Xudong Luo
An MLM Decoding Space Enhancement for Legal Document Proofreading. KSEM (1) (2024)
Yingshuang Guo, Jianfei Zhang, Junjie Dong, Chen Li, Yuanxin Ouyang, Wenge Rong
Optimization Strategies for Knowledge Graph Based Distractor Generation. KSEM (1) (2024)
Shuo Yan, Hongjun Dai, Ruomei Wang, Long Zhang, Guan Wang
sEMG-Based Multi-view Feature-Constrained Representation Learning. KSEM (1) (2024)
Bing Wang, Chunhao Wang, Xingpeng Zhang, Chunlan Zhao, Xiaoling Yang, Kuan Guo
Multi-table Question Answering Method Based on Correlation Evaluation and Precomputed Cube. KSEM (1) (2024)
Jinbiao Tan, Jiafu Wan, Hu Cai, Xiaowei Chen, Baotong Chen
A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning. KSEM (1) (2024)
Jiahao Jiang, Fei Pu, Jie Cui, Bailin Yang
Affine Transformation-Based Knowledge Graph Embedding. KSEM (1) (2024)
Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang
Vicinal Data Augmentation for Classification Model via Feature Weaken. KSEM (1) (2024)
Wei Hu, Yi Han, Fang Liu, Mingce Hu, Xingyuan Li
Elastic Filter Prune in Deep Neural Networks Using Modified Weighted Hybrid Criterion. KSEM (1) (2024)
Wenxin Dong, Zili Zhang, Huangyao Deng, Chi Zhang
Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction. KSEM (1) (2024)
Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
An In-Context Schema Understanding Method for Knowledge Base Question Answering. KSEM (1) (2024)
Qiming Zhao, Chuantao Yin, Xin Fan, Hui Chen, Yanmei Chai, Yuanxin Ouyang
Distant Supervised Relation Extraction on Pre-train Model with Improved Multi-label Attention Mechanism. KSEM (1) (2024)
Hongpu Liu, Jingfei Jiang, Kaixin Wang, Lingshu Kong, Jingshu Wang
Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. KSEM (1) (2024)
Yong Zhu, Shuai Xiao, Zhuo Zhang, Jiabao Wen, Meng Xi, Jiachen Yang
An Konwledge-Based Semi-supervised Active Learning Method for Precision Pest Disease Diagnostic. KSEM (1) (2024)
Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang, Huajun Chen
Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer. KSEM (1) (2024)
Xiuxia Tian, Zhuang Pei, Bingxue Li
Subject Knowledge Entity Relationship Extraction Based on Multi-feature Fusion and Relation Specific Horns Tagging. KSEM (1) (2024)
Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. KSEM (1) (2024)
Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. KSEM (1) (2024)
Xudong Luo, Ying Luo, Yifan Fan, Yanling Li
A Human-Computer Negotiation Model Based on Q-Learning. KSEM (1) (2024)
Rong Sun, Wenjie Yang, Fuyan Zhang, Yanzhuo Xiang, Hengxi Wang, Yuncheng Jiang
Automatic Meter Pointer Reading Based on Knowledge Distillation. KSEM (1) (2024)
Jie Wu, Mengshu Hou
A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph Matching. KSEM (1) (2024)
Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang
Meta-pruning: Learning to Prune on Few-Shot Learning. KSEM (1) (2024)
Porchourng Chuor, Ashwin Ittoo, Samedi Heng
User Story Classification with Machine Learning and LLMs. KSEM (1) (2024)
Xiao Li, Junkai Yan, Jianjian Jiang, Wei-Shi Zheng
PTMA: Pre-trained Model Adaptation for Transfer Learning. KSEM (1) (2024)
Geying Chen, Anyang Zhong, Jing Peng, Jianfei Yin
STM: An Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm. KSEM (1) (2024)
Luyang Zheng, Hailan Jiang, Jian Wang, Yuqinq Sun
Integrating Prior Scenario Knowledge for Composition Review Generation. KSEM (1) (2024)
Jiamin Liu, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Shenglin Xu, Zhongfeng Jia, Wenli Yue, Bowang Liu
Attention and Learning Features-Enhanced Knowledge Tracing. KSEM (1) (2024)
Xiaopeng Guo, Maojing Shu, Zhijie Huang, Jun Liu, Jun Sun
Programming Knowledge Tracing with Context and Structure Integration. KSEM (1) (2024)
Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng
GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. KSEM (1) (2024)

volume 14884, 2024

Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part I KSEM (1) 14884 (2024)

2023

volume 14117, 2023

Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part I KSEM (1) 14117 (2023)