KSEM (4)

Keyphrases

Publications

2023

Peng Wang, Jingju Liu, Qian Yao, Xinli Xiong
A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios. KSEM (4) (2023)
Tongtao Ling, Lei Chen, Yutao Lai, Hai-Lin Liu
Evolutionary Verbalizer Search for Prompt-Based Few Shot Text Classification. KSEM (4) (2023)
Siqi Zhu, Ping He, Jianming Zhou, Peng Zhang
Knowledge Leadership, AI Technology Adoption and Big Data Application Ability. KSEM (4) (2023)
Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. KSEM (4) (2023)
Quntian Fang, Zhen Huang, Ziwen Zhang, Minghao Hu, Biao Hu, Ankun Wang, Dong Sheng Li
Multi-level Contrastive Learning for Commonsense Question Answering. KSEM (4) (2023)
Lu Gong, Wen Zhang, Mingkang Li, Jiali Zhang, Zili Zhang
Prototype-Augmented Contrastive Learning for Few-Shot Unsupervised Domain Adaptation. KSEM (4) (2023)
Hao You, Heyan Huang, Yue Hu, Yongxiu Xu
Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning. KSEM (4) (2023)
Sheng Yu, Bo Liu, Wei Zhu, Shuhong Liu
PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning. KSEM (4) (2023)
Han Wang, Youfang Lin, Sheng Han, Kai Lv
Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term. KSEM (4) (2023)
Zhen Yang, Cheng Huang, Jiayong Liu
Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach. KSEM (4) (2023)
Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto
An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. KSEM (4) (2023)
Xiao Su, Yalan Zhou, Shanshan He, Xiangxia Li
Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization. KSEM (4) (2023)
Jiao Luo, Yitao Zhang, Ying Wang, Wolfgang Mayer, Ningpei Ding, Xiaoxia Li, Yuan Quan, Debo Cheng, Hong-Yu Zhang, Zaiwen Feng
A Reinforcement Learning-Based Approach for Continuous Knowledge Graph Construction. KSEM (4) (2023)
Xianwei Zhou, Xin Ye, Kun Zhang, Songsen Yu
Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds. KSEM (4) (2023)
Binxia Yang, Xudong Luo, Kaili Sun, Michael Y. Luo
Recent Progress on Text Summarisation Based on BERT and GPT. KSEM (4) (2023)
Nanxi Chen, Jiyan Qiu, Pengcheng Shi, Wu Yuan, Jian Zhang
udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge. KSEM (4) (2023)
Yu Li, Haonan Li, Peng Wang, Xu Cui, Zhenguo Zhang
Univariate Time Series Forecasting via Interactive Learning. KSEM (4) (2023)
Mingkang Li, Jiali Zhang, Wen Zhang, Lu Gong, Zili Zhang
Style Augmentation and Domain-Aware Parametric Contrastive Learning for Domain Generalization. KSEM (4) (2023)
Xuan Lu, Lei Chen, Hai-Lin Liu
A Multifactorial Evolutionary Algorithm Based on Model Knowledge Transfer. KSEM (4) (2023)
Liyuan Wang, Yulong Chen, Xiaoye Wang, Ruixing Wang, Hao Chen, Yinhai Zhu
Research on Remote Sensing Image Classification Based on Transfer Learning and Data Augmentation. KSEM (4) (2023)
Guibin Chen, Xudong Luo, Junlin Zhu
A Legal Multi-Choice Question Answering Model Based on BERT and Attention. KSEM (4) (2023)
Jiali Zhang, Mingkang Li, Wen Zhang, Lu Gong, Zili Zhang
Learning Category Discriminability for Active Domain Adaptation. KSEM (4) (2023)
Zecheng Yin, Jinyuan Luo, Yuejun Tan, Yanchun Zhang
TCMCoRep: Traditional Chinese Medicine Data Mining with Contrastive Graph Representation Learning. KSEM (4) (2023)
Zhaohuan Wang, Yi Xu, Liangzhe Han, Tongyu Zhu, Leilei Sun
Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism. KSEM (4) (2023)
Jian Yang, Xinyu Hu, Weichun Huang, Hao Yuan, Yulong Shen, Gang Xiao
Advancing Domain Adaptation of BERT by Learning Domain Term Semantics. KSEM (4) (2023)
Jiarui Zhang, Heyan Huang, Yue Hu, Ping Guo, Yuqiang Xie
Importance-Based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation. KSEM (4) (2023)
Zhaokui Li, Jinen Zhang, Wei Li, Fei Li, Ke Bi, Hongli Li
A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries. KSEM (4) (2023)
Ying Zhou, Shan Cong, Chao Yu
Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge. KSEM (4) (2023)
Gangbin Chen, Junwei Cheng, Wanying Liang, Chaobo He, Yong Tang
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification. KSEM (4) (2023)
Ye Liu, Yan Pan, Jian Yin
Efficient Hash Coding for Image Retrieval Based on Improved Center Generation and Contrastive Pre-training Knowledge Model. KSEM (4) (2023)
Bo Yang, Jiayi Dang, Huai Liu, Zhi Jin
RFLSem: A Lightweight Model for Textual Sentiment Analysis. KSEM (4) (2023)
Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen
Are GPT Embeddings Useful for Ads and Recommendation? KSEM (4) (2023)
Yuzhen Zhong, Tong Xu, Pengfei Luo
Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction. KSEM (4) (2023)
Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. KSEM (4) (2023)
Xiangyang Liu, Tianqi Pang, Chenyou Fan
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering. KSEM (4) (2023)
Zhanyu Ma, Jian Ye, Shuang Cheng
KSRL: Knowledge Selection Based Reinforcement Learning for Knowledge-Grounded Dialogue. KSEM (4) (2023)
Mingyue Liu, Honggang Zhao, Longfei Ma, Xiang Li, Yucheng Ji, Mingyong Li
Modal Interaction-Enhanced Prompt Learning by Transformer Decoder for Vision-Language Models. KSEM (4) (2023)

volume 14120, 2023

Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part IV KSEM (4) 14120 (2023)