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会议文集


文集名AAAI Technical Tracks (Constraint Satisfaction and Optimization; Data Mining & Knowledge Management)
会议名38th AAAI Conference on Artificial Intelligence (AAAI-24), 36th Conference on Innovative Applications of Artificial Intelligence (IAAI-24), 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24)
中译名《第三十八届AAAI人工智能会议，第三十六届人工智能创新应用会议，第十四届人工智能教育进展讨论会，卷8-2》
机构Association for the Advancement of Artificial Intelligence (AAAI)
会议日期20-27 February 2024
会议地点Vancouver, Canada
出版年2024
馆藏号354001


题名作者出版年
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language ModelsXiaoxi Li; Yujia Zhou; Zhicheng Dou2024
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative EntitiesYangning Li; Tingwei Lu; Hai-Tao Zheng; Yinghui Li; Shulin Huang; Tianyu Yu; Jun Yuan; Rui Zhang2024
A Generalized Neural Diffusion Framework on GraphsYibo Li; Xiao Wang; Hongrui Liu; Chuan Shi2024
Learning to Rank in Generative RetrievalYongqi Li; Nan Yang; Liang Wang; Furu Wei; Wenjie Li2024
Urban Region Embedding via Multi-View Contrastive PredictionZechen Li; Weiming Huang; Kai Zhao; Min Yang; Yongshun Gong; Meng Chen2024
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal CorrelationsKe Liang; Sihang Zhou; Meng Liu; Yue Liu; Wenxuan Tu; Yi Zhang; Liming Fang; Zhe Liu; Xinwang Liu2024
A Comprehensive Augmentation Framework for Anomaly DetectionJiang Lin; Yaping Yan2024
Temporally and Distributionally Robust Optimization for Cold-Start RecommendationXinyu Lin; Wenjie Wang; Jujia Zhao; Yongqi Li; Fuli Feng; Tat-Seng Chua2024
Towards Continual Knowledge Graph Embedding via Incremental DistillationJiajun Liu; Wenjun Ke; Peng Wang; Ziyu Shang; Jinhua Gao; Guozheng Li; Ke Ji; Yanhe Liu2024
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain RecommendationJing Liu; Lele Sun; Weizhi Nie; Peiguang Jing; Yuting Su2024
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction NetworkJintao Liu; Kaiwen Wei; Chenglong Liu2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate PredictionQi Liu; Xuyang Hou; Defu Lian; Zhe Wang; Haoran Jin; Jia Cheng; Jun Lei2024
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed FeedbackQiming Liu; Xiang Ao; Yuyao Guo; Qing He2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge GraphsRuoqi Liu; Lingfei Wu; Ping Zhang2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain RecommendationWeiming Liu; Chaochao Chen; Xinting Liao; Mengling Hu; Yanchao Tan; Fan Wang; Xiaolin Zheng; Yew-Soon Ong2024
Knowledge Graph Error Detection with Contrastive Confidence AdaptionXiangyu Liu; Yang Liu; Wei Hu2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-OffYu-An Liu; Ruqing Zhang; Mingkun Zhang; Wei Chen; Maarten de Rijke; Jiafeng Guo; Xueqi Cheng2024
Full Bayesian Significance Testing for Neural NetworksZehua Liu; Zimeng Li; Jingyuan Wang; Yue He2024
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph EmbeddingXiao Long; Liansheng Zhuang; Aodi Li; Jiuchang Wei; Houqiang Li; Shafei Wang2024
Deep Hierarchical Video CompressionMing Lu; Zhihao Duan; Fengqing Zhu; Zhan Ma2024
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