#IJCAI2025 #Guangzhou James Kwok, Hong Kong University of Science and Technology, Programme Chair of IJCAI 2025, delivering the closing remarks of the 34th International Joint Conference on Artificial Intelligence.

#IJCAI2025 #Guangzhou Monika Michaelis, University of Bremen, Co-Chair of IJCAI-ECAI 2026, introduces the host of the 35th International Joint Conference on Artificial Intelligence, #Bremen, Germany. #IJCAI2026

#IJCAI2025 #Guangzhou Evolutionary computation has the potential to advance fair, explainable, and safe AI — making its intersection with trustworthy AI a promising area for research. - Xin Yao #keynote

#IJCAI2025 #Guangzhou Xin Yao, Lingnan University, delivering his #keynote When Evolutionary Computation Meets Trustworthy Artificial Intelligence. - Trustworthy AI starts with ethics — a complex, multi-dimensional pillar.

#IJCAI2025 #Guangzhou Yihong Lin, South China University of Technology, delivering their talk on #1588 GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer at the CV: 3D Computer Vision session.

#IJCAI2025 #Guangzhou delivering the talk Paper #8335 GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework at the AI, Arts and Creativity session.

#IJCAI2025 #Guangzhou Xinyu Su, University of Melbourne, delivering their talk on #6301 DualCast: A Model to Disentangle Aperiodic Events from Traffic Series at the DM: Mining Spatial and/or Temporal Data session.

#IJCAI2025 #Guangzhou Rui Sun, Northeast Normal University, delivering their talk on #449 InfVC: An Inference-Enhanced Local Search Algorithm for the Minimum Vertex Cover Problem in Large-Scale Graphs at the Search session.

#IJCAI2025 #Guangzhou Yitong Zhou, University of Science and Technology of China, delivering their talk on #7350 Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner at the CV: LLMs and Transformers session

#IJCAI2025 #Guangzhou Tianhui Ma, University of Science and Technology of China, delivering their talk on #302 Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling at the DM: Recommender Systems session.