Liu, Jiaqi

17 publications

ECML-PKDD 2025 A Complementarity-Enhanced Mixture of Human-AI Teams for Decision-Making Hefei Liang, Jiaqi Liu, Bin Guo, Zhiwen Yu

IJCAI 2025 ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions Xuehan Zhao, Jiaqi Liu, Xin Zhang, Zhiwen Yu, Bin Guo

NeurIPS 2025 BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset Zhiheng Xi, Guanyu Li, YuTao Fan, Honglin Guo, Yufang Liu, Xiaoran Fan, Jiaqi Liu, Dingjinchao, Wangmeng Zuo, Zhenfei Yin, Lei Bai, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang

ECML-PKDD 2025 FinCPRG: A Bidirectional Generation Pipeline for Hierarchical Queries and Rich Relevance in Financial Chinese Passage Retrieval Xuan Xu, Beilin Chu, Qinhong Lin, Yixiao Zhong, Fufang Wen, Jiaqi Liu, Binjie Fei, Yu Li, Zhongliang Yang, Linna Zhou

CVPR 2025 Multi-Focal Conditioned Latent Diffusion for Person Image Synthesis Jiaqi Liu, Jichao Zhang, Paolo Rota, Nicu Sebe

AAAI 2025 Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective Kaifang Long, Guoyang Xie, Lianbo Ma, Jiaqi Liu, Zhichao Lu

IJCAI 2025 Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations Jiaqi Liu, Jiaxu Cui, Shiang Sun, Yizhu Zhao, Bo Yang

ICCV 2025 Trade-Offs in Image Generation: How Do Different Dimensions Interact? Sicheng Zhang, Binzhu Xie, Zhonghao Yan, Yuli Zhang, Donghao Zhou, Xiaofei Chen, Shi Qiu, Jiaqi Liu, Guoyang Xie, Zhichao Lu

ECCV 2024 Active Generation for Image Classification Tao Huang, Jiaqi Liu, Shan You, Chang Xu

ECCVW 2024 MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making Yicheng Guo, Jiaqi Liu, Rongjie Yu, Peng Hang, Jian Sun

IJCAI 2024 Stochastic Neural Simulator for Generalizing Dynamical Systems Across Environments Jiaqi Liu, Jiaxu Cui, Jiayi Yang, Bo Yang

ECCV 2024 Training-Free Composite Scene Generation for Layout-to-Image Synthesis Jiaqi Liu, Tao Huang, Chang Xu

AAAI 2024 Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng

NeurIPS 2023 Certified Minimax Unlearning with Generalization Rates and Deletion Capacity Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren

ICLR 2023 Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore Guoyang Xie, Jinbao Wang, Jiaqi Liu, Yaochu Jin, Feng Zheng

NeurIPS 2023 Real3D-AD: A Dataset of Point Cloud Anomaly Detection Jiaqi Liu, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng

CVPRW 2023 What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection? Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin