Jin, Yaochu

16 publications

ICLR 2025 Biologically Plausible Brain Graph Transformer Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin

AAAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen

ICCV 2025 Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du, Han Hu

ICCV 2025 Personalized Federated Learning Under Local Supervision Qiqi Liu, Jiaqiang Li, Yuchen Liu, Yaochu Jin, Lingjuan Lyu, Xiaohu Wu, Han Yu

NeurIPS 2025 PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy Ruyu Liu, Lin Wang, Zhou Mingming, Jianhua Zhang, Zhang Haoyu, Xiufeng Liu, Xu Cheng, Sixian Chan, Shen Yanbin, Dai Sheng, Yuping Yan, Yaochu Jin, Lingjuan Lyu

ICCV 2025 SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition Zeqi Zheng, Yanchen Huang, Yingchao Yu, Zizheng Zhu, Junfeng Tang, Zhaofei Yu, Yaochu Jin

ICML 2025 Voronoi-Grid-Based Pareto Front Learning and Its Application to Collaborative Federated Learning Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu

ICLR 2025 ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning Zihan Ye, Shreyank N Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin

NeurIPSW 2024 Adaptive Hybrid Model Pruning in Federated Learning Through Loss Exploration Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer

ICMLW 2024 Adaptive Model Pruning in Federated Learning Through Loss Exploration Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer

ECCV 2024 MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du

ECCV 2024 Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-Level Optimization Perspective Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin

CVPR 2023 EMT-NAS:Transferring Architectural Knowledge Between Tasks from Different Datasets Peng Liao, Yaochu Jin, Wenli Du

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

NeurIPS 2022 Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning Yitian Hong, Yaochu Jin, Yang Tang