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  • IJCAI 2026
    Welcome to IJCAI-ECAI 2026, the 35th International Joint Conference on Artificial Intelligence, the premier international gathering of researchers in AI! Join Us in Bremen this August!
  • Welcome to IJCAI | IJCAI
    IJCAI conferences present premier international gatherings of AI researchers and practitioners and they were held biennially in odd-numbered years since 1969 Starting with 2016, IJCAI conferences are held annually
  • SSPNet: Leveraging Robust Medication Recommendation with History and . . .
    In IJCAI, pages 3134–3140, 2021 [Wang et al , 2024] Yanda Wang, Lin Yue, and Ying Li Topological knowledge enhanced personalized ranking model for sequential medication recommendation In In-ternational Conference on Advanced Data Mining and Ap-plications, pages 109–124 Springer, 2024
  • Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal . . .
    To address the aforementioned problems, we propose MMSC, a novel automated trailer generation framework driven by Multi-Modal Semantic Consistency As illustrated in Figure 1, given a movie with metadata and a piece of mu-sic, we formulate the trailer generation task as selecting and sorting key movie shots according to the music and the meta-data (e g , category tags and plot keywords of
  • D I activities – IJCAI 2026
    Important Dates Submission deadline: May 15, 2026 Decisions: May 29, 2026 D I Workshop Activities: August 15-17, 2026 D I Community Gatherings: August 18-21, 2026 Participation is essential to assure that AI development and AI applications reflect the diversity in society Underrepresented and marginalized groups in particular continue to play an important role in raising awareness of emerging
  • LLM-based Collaborative Agents with Pedagogy-guided Interaction . . .
    LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions Qihao Yang1,2 , Yu Yang2 , Sixu An2 , Tianyong Hao1† and Guandong Xu2† 1School of Computer Science, South China Normal University, Guangzhou, China
  • Counterfactual Thinking Driven Emotion Regulation for Image Sentiment . . .
    Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition Xinyue Zhang1,2 , Zhaoxia Wang4 , Hailing Wang2,3 and Guitao Cao1,2,3∗ 1Shanghai Institute of Artificial Intelligence for Education, East China Normal University 2MoE Engineering Research Center of SW HW Co-design Technology and Application, East China Normal University 3Shanghai Key Laboratory of Trustworthy
  • Relation-Augmented Dueling Bayesian Optimization via Preference Propagation
    Relation-Augmented Dueling Bayesian Optimization via Preference Propagation Xiang Xia1 , Xiang Shu1 , Shuo Liu1,2 , Yiyi Zhu1 , Yijie Zhou1 , Weiye Wang1 , Bingdong Li1 and Hong Qian1∗ 1Shanghai Institute of AI Education, and School of Computer Science and Technology, East China Normal University, Shanghai 200062, China 2Game AI Center, Tencent Inc, Shenzhen 518057, China
  • Sentiment-enhanced Multi-hop Connected Graph Attention Network for . . .
    To address these issues, we propose a sentiment-enhanced multi-hop connected graph attention network (MCG) for MABSA The method enhances the sensitivity of model to sentiments and fully considers the importance differences driven by syntactic structure through a multi-hop connected graph attention mechanism Specifically, we firstly construct sentiment-enhanced pre-training based on positive
  • Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free . . .
    Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision Siyuan Xu , Haofei Song , Yingjiao Deng , Jiansheng Wang , Yan Wang and Qingli Li∗ Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University,





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