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ORCID21st PRICAI 2024: Kyoto, Japan - Part II
- Rafik Hadfi
, Patricia Anthony, Alok Sharma, Takayuki Ito, Quan Bai:
PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15282, Springer 2025, ISBN 978-981-96-0118-9
Deep Learning
- Sikai Lin, Guanyuan Zeng, Guoting Chen:
STLB-GN: Spatio-Temporal Dual Graph Network with Learnable Bases. 3-15 - Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. 16-28 - Zhichao Luo, Siyuan Zhao, Enze Zhang, Zheng Wang:
Zero-Shot Heterogeneous Graph Embedding via Semantic Extraction. 29-41 - Zakaria Elabid, Lena Sasal, Daniel Busby, Abdenour Hadid:
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network Framework for Forecasting Spatio-Temporal Data. 42-48 - Youjia Liu, Yasumasa Matsuda, Zhijie Zhang:
Stock Market Index Movement Prediction Using Partial Contextual Embedding BERT-LSTM. 49-60 - Jiawei Hai, Zhen Xie, Na Liu, Ye Yuan:
SCBC: A Supervised Single-Cell Classification Method Based on Batch Correction for ATAC-Seq Data. 61-72 - Yuze Chen, Lin Yi, Shidan Wang, Fengchun Tian, Ran Liu:
TS-CATMA: A Lung Cancer Electronic Nose Data Classification Method Based on Adversarial Training and Multi-scale Attention. 73-78 - Eman Saleh, Caroline Sabty:
Visualizing the Unseen: Arabic Image-to-Story Generation Using Deep Learning Techniques. 79-85
Federated Learning
- Jian-Ping Mei, Chunlong Lu, Yuhao Guan, Mingqi Lv:
Federated Prompt Tuning: When is it Necessary? 89-95 - Chi Zhang, Zili Zhang, Wenxin Dong, Huangyao Deng:
Dirichlet-Based Local Inconsistency Query Strategy for Active Domain Adaptation. 96-107 - Haiwen Chen, Songcan Yu, Shupeng Zhao, Junbo Wang, Kaiming Zhu, Kento Sato:
FedSD: Cross-Heterogeneous Federated Learning Based on Self-distillation. 108-120 - Guangfei Qi, Zhihao Qu, Shen-Huan Lyu, Ninghui Jia, Baoliu Ye:
Personalized Federated Learning with Feature Alignment via Knowledge Distillation. 121-133 - Junhao Yin, Xiran Hu, Geng Zhao, Guochang Wang:
Multi-party Collaborative Hate Speech Study on Social Media via Personalized Federated Learning. 134-140 - Chaohao Fu, Yun Zhou, Na Ruan:
Preserving Individual User's Right to Be Forgotten in Enterprise-Level Federated Learning. 141-147
Generative AI
- Yuan Wang, Yuliang Li:
Dance Generation From Music with Enhanced Beat. 151-157 - Xinxin Luo, Wei Yin, Zhuang Li:
Contrastive Prototype Network for Generative Zero-Shot Learning. 158-164 - Haocheng Xiong, Qi Zhou, Binyu Yan, Yan Wang:
Steganography: An Improved Robust Model for Deep Hidden Network. 165-176 - Yang Yang, Yuduo Li, Haitao Xiong:
Human- and AI-Generated Marketing Content Comparison Corpus, Evaluation, and Detection. 177-183
Natural Language Processing
- Yanli Wang, Yatu Ji, Baolei Sun, Nier Wu, Qing-Dao-Er-Ji Ren, Bailun Wang:
Mongolian-Chinese Cross-Lingual Topic Detection Based on Knowledge Distillation and Contrastive Learning Methods. 187-199 - Yu Wei, Satoshi Nakagawa, Tomohiro Tanikawa, Yasuo Kuniyoshi:
Emergence of Grounded Language Representations for Continuous Object Properties Through Decentralized Embodied Learning. 200-205 - Tadayuki Matsumura, Takeshi Kato, Yasuhiro Asa, Kanako Esaki, Ryuji Mine, Hiroyuki Mizuno:
AI-Facilitation for Consensus-Building by Virtual Discussion Using Large Language Models. 206-219 - Yan Cao, Jun Lu:
False Positive Detection for Text-Based Person Retrieval. 220-231 - Shuangyin Li, Jinbin Zhang, Yuncheng Jiang:
An End-to-End Method for Chinese Spelling Error Detection and Correction. 232-244 - Ling Yuan, Bicheng Wu:
Dialogue Summarization Based on Feature Extraction and Commonsense Injection. 245-250 - Yanming Liu, Xinyue Peng, Jiannan Cao, Le Dai, Xingzu Liu, Ruilin Nong, Weihao Liu, Songhang Deng:
SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Causal Inference. 251-262 - Xin Liu, Hankiz Yilahun, Seyyare Imam, Askar Hamdulla:
Document-Level Relation Extraction Model Based on Boundary Distance Loss and Long-Tail Relation Enhancement. 263-274 - Zebiao Chen, Runfeng Lin, Bin Zhu, Jianbin Chen, Sujun Zhong, Shouqiang Liu:
MCQG: Reading Comprehension Multiple Choice Questions Generation Based on Pre-trained Language Models. 275-287 - Son T. Luu, Hiep Nguyen, Trung Vo, Le-Minh Nguyen:
ZeFaV: Boosting Large Language Models for Zero-Shot Fact Verification. 288-295 - Yimeng Zhang, Xuelin Cheng, Yan Jiang, Yijun Bei:
EC-PEFT: An Expertise-Centric Parameter-Efficient Fine-Tuning Framework for Large Language Models. 296-307 - Florence Gundidza, Masato Kikuchi, Tadachika Ozono:
Enhanced Classification of Delay Risk Sources in Road Construction Using Domain-Knowledge-Driven Large Language Models. 308-319 - Yan Han, Hongbo Wang:
Modeling the Structural and Semantic Features for Japanese Lyrics Generation of J-Pop Songs. 320-333 - Yusong Wang, Ying Zhang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura:
FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation. 334-346 - Hlaing Myat Nwe, Ye Kyaw Thu, Thanaruk Theeramunkong, Kiyoaki Shirai, Thepchai Supnithi:
Segmentation Strategies and Data Enrichment for Improved Abstractive Summarization of Burmese Language. 347-353 - Zizheng Lin, Chunkit Chan, Yangqiu Song, Xin Liu:
Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models. 354-360 - Qingsong Fei, Zhenchao Cui, Guangze Jia:
Spatial-Temporal Union Channel Enhancement for Continuous Sign Language Recognition. 361-375 - Yiming Ju, Huimin Ma, Xingrun Xing, Zhixiong Zeng:
KLoB: a Benchmark for Assessing Knowledge Localization Methods in Language Models. 376-387 - Changhe Li, Baohua Zhang, Chao Wang:
Cross-Lingual Entity Alignment Model Based on Multi-entity Enhancement and Semantic Information. 388-400
Large Language Models
- Jiarui Chen, Shuangyin Li, Yuncheng Jiang:
A Decomposed-Distilled Sequential Framework for Text-to-Table Task with LLMs. 403-410 - Haipeng Cheng, Si Sun, Shanglin Yang, Benchang Zheng, Wei Yang, Hu Huang:
Are Dense Retrieval Models Few-Shot Learners? 411-423 - Zhihua Jiang, Junzhan Yang, Dongning Rao:
An Empirical Study of Leveraging PLMs and LLMs for Long-Text Summarization. 424-435 - Heng-Yang Lu, Xiao-Fei Li:
A Novel MLLMs-Based Two-Stage Model for Zero-Shot Multimodal Sentiment Analysis. 436-449 - Yu Xie, Canhui Xu, Cao Shi, Jialiang Li, Zhengyi Yuan, Qian Qiao:
DeepTTS: Enhanced Transformer-Based Text Spotter via Deep Interaction Between Detection and Recognition Tasks. 450-462
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