Study on a Robot 3D Laser Radar Information Collection System. - Wei Chen; Jiayi Shen; Jiabin Xue (J. Digit. Inf. Manag., 2013)

Predict the Best Graph Partitioning Strategy by Using Machine Learning Technology. - Jiayi Shen; Fabrice Huet (ICNCC, 2018)

Feature Adaptation and Augmentation for Cross-Scene Hyperspectral Image Classification. - Jiayi Shen; Xianbin Cao 001; Yan Li 054; Dong Xu 001 (IEEE Geosci. Remote. Sens. Lett., 2018)

Relational Attention Network for Crowd Counting. - Anran Zhang; Jiayi Shen; Zehao Xiao; Fan Zhu 001; Xiantong Zhen; Xianbin Cao 001; Ling Shao 001 (ICCV, 2019)

Attentional Neural Fields for Crowd Counting. - Anran Zhang; Lei Yue; Jiayi Shen; Fan Zhu 001; Xiantong Zhen; Xianbin Cao 001; Ling Shao 001 (ICCV, 2019)

Eliminating the Invariance on the Loss Landscape of Linear Autoencoders. - Reza Oftadeh; Jiayi Shen; Zhangyang Wang; Dylan A. Shell (ICML, 2020)

Model-Agnostic Metric for Zero-Shot Learning. - Jiayi Shen; Haochen Wang; Anran Zhang; Qiang Qiu 001; Xiantong Zhen; Xianbin Cao 001 (WACV, 2020)

Characterizing reticulation in online social networks during disasters. - Chao Fan; Jiayi Shen; Ali Mostafavi; Xia Hu 001 (Appl. Netw. Sci., 2020)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. - Zhenyu Hu; Pengcheng Pi; Zhenyu Wu 002; Yunhe Xue; Jiayi Shen; Jianchao Tan; Xiangru Lian; Zhangyang Wang; Ji Liu 002 (CVPR Workshops, 2021)

The Impact Index and Dynamic Forecast of the Retail New business formats based on Internet Big Data. - Rubing Wang; Jiayi Shen; Xiurui Wang; Yang Li (ICEEG, 2021)

Comparison between Time Series Analysis and Mode Decomposition on the Prediction of Bank of China Stock Price. - Weiqian Zhao; Huiling Huang; Jiayi Shen; Yuchen Xing (ICIBE, 2021)

Learning A Minimax Optimizer: A Pilot Study. - Jiayi Shen; Xiaohan Chen; Howard Heaton; Tianlong Chen 001; Jialin Liu 003; 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 002 (ICLR, 2021)

A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. - Zehao Xiao; Jiayi Shen; Xiantong Zhen; Ling Shao 001; Cees Snoek (ICML, 2021)

Variational Multi-Task Learning with Gumbel-Softmax Priors. - Jiayi Shen; Xiantong Zhen; Marcel Worring; Ling Shao 001 (NeurIPS, 2021)

Multi-Task Neural Processes. - Jiayi Shen; Xiantong Zhen; Marcel Worring; Ling Shao 001 (CoRR, 2021)

Head Pose Estimation In Classroom Scenes. - Jiayi Shen; Xue Qin; Zhenyu Zhou (AIAM, 2022)

NFormer: Robust Person Re-identification with Neighbor Transformer. - Haochen Wang; Jiayi Shen; Yongtuo Liu; Yan Gao 017; Efstratios Gavves (CVPR, 2022)

Unified Visual Transformer Compression. - Shixing Yu; Tianlong Chen 001; Jiayi Shen; Huan Yuan; Jianchao Tan; Sen Yang 004; Ji Liu 002; Zhangyang Wang (ICLR, 2022)

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

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. - Zhenyu Hu; Zhenyu Wu 002; Pengcheng Pi; Yunhe Xue; Jiayi Shen; Jianchao Tan; Xiangru Lian; Zhangyang Wang; Ji Liu 002 (CoRR, 2022)

Spherical Zero-Shot Learning. - Jiayi Shen; Zehao Xiao; Xiantong Zhen; Lei Zhang 093 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Impact of Super-long-throw PVD on TSV Metallization and Die-to-Wafer 3D Integration Based on Via-last. - Jiayi Shen; Chang Liu; Tadaaki Hoshi; Atsushi Shinoda; Hisashi Kino; Tetsu Tanaka; Mariappan Murugesan; Mitsumasa Koyanagi; Takafumi Fukushima (3DIC, 2023)

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

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

Episodic Multi-Task Learning with Heterogeneous Neural Processes. - Jiayi Shen; Xiantong Zhen; Qi Wang 009; Marcel Worring (NeurIPS, 2023)

Learning Variational Neighbor Labels for Test-Time Domain Generalization. - Sameer Ambekar; Zehao Xiao; Jiayi Shen; Xiantong Zhen; Cees G. M. Snoek (CoRR, 2023)

Parallel symbolic aggregate approximation and its application in intelligent fault diagnosis. - Dongfang Zhao 011; Yesheng Chen; Shulin Liu; Jiayi Shen; Zhonghua Miao (J. Intell. Fuzzy Syst., 2023)

Learning to Learn With Variational Inference for Cross-Domain Image Classification. - Lei Zhang 093; Yingjun Du; Jiayi Shen; Xiantong Zhen (IEEE Trans. Multim., 2023)

SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases. - Yangfeng Chen; Xingliang Zhang; Xi Peng; Yicheng Jin; Peiwen Ding; Jiedan Xiao; Changxiao Li; Fei Wang; Ashley Chang; Qizhen Yue; Mingyi Pu; Peixin Chen; et al. (Nucleic Acids Res., 2023)

Room-Temperature and Compressive Force-Free Metal-Metal Direct Bonding for Heterogeneous Integration of Micro-LED Array on 3D-IC. - Jiayi Shen; Chang Liu; Tetsu Tanaka; Takafumi Fukushima (3DIC, 2024)

Temporary Adhesive Effect on Multichip Thinning for Rapid Prototyping of 3D-IC from 2D-IC Fabricated in Foundry Shuttle Services. - Akihiro Tominaga; Jiayi Shen; Chang Liu; Atsushi Shinoda; Tetsu Tanaka; Takafumi Fukushima (3DIC, 2024)

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

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

Behavior Recognition of Ship Pilots Based on Multimodal Video Data. - Meng Yu; Jun Zhang; Jiayi Shen; Xuetao Liu (ICNSC, 2024)

Investigating the Role of Errors in Programming Learning. - Alyssa Shuang Sha; Bernardo Pereira Nunes; Jiayi Shen (ITiCSE (2), 2024)

Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks. - Shuai Wang 054; Jiayi Shen; Athanasios Efthymiou; Stevan Rudinac; Monika Kackovic; Nachoem Wijnberg; Marcel Worring (MMM (3), 2024)

GO4Align: Group Optimization for Multi-Task Alignment. - Jiayi Shen; Qi Wang 009; Zehao Xiao; Nanne van Noord; Marcel Worring (NeurIPS, 2024)

GO4Align: Group Optimization for Multi-Task Alignment. - Jiayi Shen; Cheems Wang; Zehao Xiao; Nanne van Noord; Marcel Worring (CoRR, 2024)

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents. - Dawei Li; Zhen Tan; Peijia Qian; Yifan Li; Kumar Satvik Chaudhary; Lijie Hu; Jiayi Shen (CoRR, 2024)

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective. - Zhi Zhang 009; Jiayi Shen; Congfeng Cao; Gaole Dai; Shiji Zhou; Qizhe Zhang; Shanghang Zhang; Ekaterina Shutova (CoRR, 2024)

Multiscale attention feature fusion network for rolling bearing fault diagnosis under variable speed conditions. - Jiayi Shen; Dongfang Zhao 011; Shulin Liu; Ze Cui (Signal Image Video Process., 2024)

Optimal mission abort policy for a multi-component system with failure interaction. - Guoqing Cheng; Jiayi Shen; Fang Wang; Ling Li; Nan Yang (Reliab. Eng. Syst. Saf., 2024)

Full Hill-type muscle model of the I1/I3 retractor muscle complex in Aplysia californica. - Ravesh Sukhnandan; Qianxue Chen; Jiayi Shen; Samantha Pao; Yu Huan; Gregory P. Sutton; Jeffrey P. Gill; Hillel J. Chiel; Victoria A. Webster-Wood (Biol. Cybern., 2024)

DynaPrompt: Dynamic Test-Time Prompt Tuning. - Zehao Xiao; Shilin Yan; Jack Hong; Jiayin Cai; Xiaolong Jiang; Yao Hu 002; Jiayi Shen; Cheems Wang; Cees G. M. Snoek (ICLR, 2025)

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents. - Dawei Li 008; Zhen Tan 001; Peijia Qian; Yifan Li; Kumar Satvik Chaudhary; Lijie Hu; Jiayi Shen (PAKDD (3), 2025)

Visual Large Language Models for Generalized and Specialized Applications. - Yifan Li; Zhixin Lai; Wentao Bao; Zhen Tan 001; Anh Dao; Kewei Sui; Jiayi Shen; Dong Liu; Huan Liu 001; Yu Kong 001 (CoRR, 2025)

Beyond Any-Shot Adaptation: Predicting Optimization Outcome for Robustness Gains without Extra Pay. - Qi Cheems Wang; Zehao Xiao; Yixiu Mao; Yun Qu 002; Jiayi Shen; Yiqin Lv; Xiangyang Ji (CoRR, 2025)

DynaPrompt: Dynamic Test-Time Prompt Tuning. - Zehao Xiao; Shilin Yan; Jack Hong; Jiayin Cai; Xiaolong Jiang; Yao Hu 002; Jiayi Shen; Qi Wang; Cees G. M. Snoek (CoRR, 2025)

Geometric Neural Process Fields. - Wenzhe Yin; Zehao Xiao; Jiayi Shen; Yunlu Chen; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence. - Wenzhe Yin; Zehao Xiao; Pan Zhou; Shujian Yu; Jiayi Shen; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Art3D: Training-Free 3D Generation from Flat-Colored Illustration. - Xiaoyan Cong; Jiayi Shen; Zekun Li; Rao Fu; Tao Lu; Srinath Sridhar 002 (CoRR, 2025)

Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. - Jie Liu 043; Pan Zhou; Zehao Xiao; Jiayi Shen; Wenzhe Yin; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation. - Jie Liu 043; Jiayi Shen; Pan Zhou; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)