Shen, Jiayi

21 publications

ICLR 2025 DynaPrompt: Dynamic Test-Time Prompt Tuning Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Cheems Wang, Cees G. M. Snoek

ICML 2025 Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves

ICCV 2025 Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-Shot Semantic Segmentation Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves

TMLR 2025 SpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision Maxime Poli, Mahi Luthra, Youssef Benchekroun, Yosuke Higuchi, Martin Gleize, Jiayi Shen, Robin Algayres, Yu-An Chung, Mido Assran, Juan Pino, Emmanuel Dupoux

CVPR 2024 Any-Shift Prompting for Generalization over Distributions Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek

NeurIPS 2024 GO4Align: Group Optimization for Multi-Task Alignment Jiayi Shen, Qi Wang, Zehao Xiao, Nanne Van Noord, Marcel Worring

CoLLAs 2024 Probabilistic Test-Time Generalization by Variational Neighbor-Labeling Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

CoLLAs 2023 EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G.M. Snoek

NeurIPS 2023 Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen, Xiantong Zhen, Qi Wang, Marcel Worring

NeurIPSW 2023 ProtoHG: Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang, Jiayi Shen, Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring

CVPR 2023 SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

NeurIPS 2022 Association Graph Learning for Multi-Task Classification with Category Shifts Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring

CVPR 2022 NFormer: Robust Person Re-Identification with Neighbor Transformer Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves

ICLR 2022 Unified Visual Transformer Compression Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang

ICML 2021 A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees Snoek

CVPRW 2021 E2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu

ICLR 2021 Learning a Minimax Optimizer: A Pilot Study Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang

ICLR 2021 UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu

NeurIPS 2021 Variational Multi-Task Learning with Gumbel-SoftMax Priors Jiayi Shen, Xiantong Zhen, Marcel Worring, Ling Shao

ICML 2020 Eliminating the Invariance on the Loss Landscape of Linear Autoencoders Reza Oftadeh, Jiayi Shen, Zhangyang Wang, Dylan Shell

WACV 2020 Model-Agnostic Metric for Zero-Shot Learning Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao