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ORCID16th KSEM 2023: Guangzhou, China - Part IV
- Zhi Jin
, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma:
Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14120, Springer 2023, ISBN 978-3-031-40291-3
Emerging Technologies for Knowledge Science, Engineering and Management
- Xiangyang Liu, Tianqi Pang, Chenyou Fan:
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering. 3-11 - Jian Yang, Xinyu Hu, Weichun Huang, Hao Yuan, Yulong Shen, Gang Xiao:
Advancing Domain Adaptation of BERT by Learning Domain Term Semantics. 12-24 - Xianwei Zhou, Xin Ye, Kun Zhang, Songsen Yu:
Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds. 25-34 - 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. 35-43 - Zecheng Yin, Jinyuan Luo, Yuejun Tan, Yanchun Zhang:
TCMCoRep: Traditional Chinese Medicine Data Mining with Contrastive Graph Representation Learning. 44-55 - Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang:
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. 56-68 - Sheng Yu, Bo Liu, Wei Zhu, Shuhong Liu:
PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning. 69-82 - Peng Wang, Jingju Liu, Qian Yao, Xinli Xiong:
A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios. 83-98 - 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. 99-111 - Zhaohuan Wang, Yi Xu, Liangzhe Han, Tongyu Zhu, Leilei Sun:
Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism. 112-123 - Hao You, Heyan Huang, Yue Hu, Yongxiu Xu:
Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning. 124-139 - Jiarui Zhang, Heyan Huang, Yue Hu, Ping Guo, Yuqiang Xie:
Importance-Based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation. 140-150 - Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen:
Are GPT Embeddings Useful for Ads and Recommendation? 151-162 - Mingyue Liu, Honggang Zhao, Longfei Ma, Xiang Li, Yucheng Ji, Mingyong Li:
Modal Interaction-Enhanced Prompt Learning by Transformer Decoder for Vision-Language Models. 163-174 - Zhen Yang, Cheng Huang, Jiayong Liu:
Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach. 175-188 - Zhanyu Ma, Jian Ye, Shuang Cheng:
KSRL: Knowledge Selection Based Reinforcement Learning for Knowledge-Grounded Dialogue. 189-196 - Lu Gong, Wen Zhang, Mingkang Li, Jiali Zhang, Zili Zhang:
Prototype-Augmented Contrastive Learning for Few-Shot Unsupervised Domain Adaptation. 197-210 - Mingkang Li, Jiali Zhang, Wen Zhang, Lu Gong, Zili Zhang:
Style Augmentation and Domain-Aware Parametric Contrastive Learning for Domain Generalization. 211-224 - Binxia Yang, Xudong Luo, Kaili Sun, Michael Y. Luo:
Recent Progress on Text Summarisation Based on BERT and GPT. 225-241 - Xiao Su, Yalan Zhou, Shanshan He, Xiangxia Li:
Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization. 242-249 - Guibin Chen, Xudong Luo, Junlin Zhu:
A Legal Multi-Choice Question Answering Model Based on BERT and Attention. 250-266 - Han Wang, Youfang Lin, Sheng Han, Kai Lv:
Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term. 267-278 - Tongtao Ling, Lei Chen, Yutao Lai, Hai-Lin Liu:
Evolutionary Verbalizer Search for Prompt-Based Few Shot Text Classification. 279-290 - 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. 291-303 - Jiali Zhang, Mingkang Li, Wen Zhang, Lu Gong, Zili Zhang:
Learning Category Discriminability for Active Domain Adaptation. 304-317 - Quntian Fang, Zhen Huang, Ziwen Zhang, Minghao Hu, Biao Hu, Ankun Wang, Dong Sheng Li:
Multi-level Contrastive Learning for Commonsense Question Answering. 318-331 - Ye Liu, Yan Pan, Jian Yin:
Efficient Hash Coding for Image Retrieval Based on Improved Center Generation and Contrastive Pre-training Knowledge Model. 332-342 - Yu Li, Haonan Li, Peng Wang, Xu Cui, Zhenguo Zhang:
Univariate Time Series Forecasting via Interactive Learning. 343-355 - Ying Zhou, Shan Cong, Chao Yu:
Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge. 356-365 - 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. 366-373 - Yuzhen Zhong, Tong Xu, Pengfei Luo:
Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction. 374-386 - Nanxi Chen, Jiyan Qiu, Pengcheng Shi, Wu Yuan, Jian Zhang:
udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge. 387-402 - Jingyuan Zhang, Wenjun Wang, Tianpeng Li, Minglai Shao, Jiye Liu, Yueheng Sun:
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning. 403-417 - 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. 418-429 - Xuan Lu, Lei Chen, Hai-Lin Liu:
A Multifactorial Evolutionary Algorithm Based on Model Knowledge Transfer. 430-441 - Siqi Zhu, Ping He, Jianming Zhou, Peng Zhang:
Knowledge Leadership, AI Technology Adoption and Big Data Application Ability. 442-450 - Bo Yang, Jiayi Dang, Huai Liu, Zhi Jin:
RFLSem: A Lightweight Model for Textual Sentiment Analysis. 451-467
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