- Yuran Dong
, Cheng Xie, Luyao Xu, Hongming Cai, Weiming Shen, Haoyuan Tang:
Generative and Contrastive Combined Support Sample Synthesis Model for Few-/Zero-Shot Surface Defect Recognition. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - Yuheng Tang, Chaoyong Zhang, Jianzhao Wu, Yang Xie, Weiming Shen, Jun Wu:
Deep Learning-Based Bearing Fault Diagnosis Using a Trusted Multiscale Quadratic Attention-Embedded Convolutional Neural Network. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - Chao Zhao, Enrico Zio, Weiming Shen:
Multidomain Class-Imbalance Generalization With Fault Relationship-Induced Augmentation for Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - Guangfeng Shen, Weiming Zeng, Jiajun Yang:
Research on migraine classification model based on hypergraph neural network. J. Supercomput. 80(17): 25403-25423 (2024) - Mengxuan Li, Peng Peng, Jingxin Zhang, Hongwei Wang, Weiming Shen:
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6194-6205 (2024) - Yiming He, Weiming Shen:
MSiT: A Cross-Machine Fault Diagnosis Model for Machine-Level CNC Spindle Motors. IEEE Trans. Reliab. 73(1): 792-802 (2024) - Yunkang Cao, Xiaohao Xu, Chen Sun, Liang Gao, Weiming Shen:
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2342-2353 (2024) - Po-Yuan Chou, Wei-Ming Chen, Shen-Iuan Liu:
A 16-Gb/s Baud-Rate CDR Circuit With One-Tap Speculative DFE and Wide Frequency Capture Range. IEEE Trans. Very Large Scale Integr. Syst. 32(3): 480-484 (2024) - Chen Qiu, Xianbin Wang, Weiming Shen:
Optimal Measurement Geometry Directed Integrated Localization and Synchronization in Large-Scale Wireless Networks. IEEE Trans. Wirel. Commun. 23(10): 14320-14334 (2024) - Guiyang Hou, Yongliang Shen, Weiming Lu:
Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models. ACL (Findings) 2024: 14392-14402 - Guiyang Hou, Wenqi Zhang, Yongliang Shen, Linjuan Wu, Weiming Lu:
TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-Mind. ACL (Findings) 2024: 11532-11547 - Zeqi Tan, Yongliang Shen, Xiaoxia Cheng, Chang Zong, Wenqi Zhang, Jian Shao, Weiming Lu, Yueting Zhuang:
Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning. ACL (1) 2024: 4044-4055 - Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu:
Insert or Attach: Taxonomy Completion via Box Embedding. ACL (1) 2024: 3851-3863 - Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang, Yueting Zhuang, Weiming Lu:
Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives. ACL (1) 2024: 3602-3622 - Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu:
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization. ACL (1) 2024: 5348-5375 - Weiming Tong, Enrui Zhang, Jiaqi Shen, Wenqi Jiang, Zhongwei Li:
Modelling and Conversion of Heterogeneous Modbus Protocols Based on UML and MySQL. CAIBDA 2024: 654-660 - Jingwei Wang, Tianle Ni, Yukai Zhao, Qilin Huang, Yunlong Ma, Min Liu, Weiming Shen:
Towards Online Anomalous Trajectory Detection and Classification. CASE 2024: 454-459 - Yuqi Cheng, Yunkang Cao, Rui Chen, Weiming Shen:
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection. CASE 2024: 2123-2128 - Yiheng Zhang, Yunkang Cao, Tianhang Zhang, Weiming Shen:
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection. CASE 2024: 2134-2139 - Lingling Lv, Chunjiang Zhang, Weiming Shen:
A Deep Reinforcement Learning-based Rescheduling Method for Flexible Job Shops under Machine Breakdowns. CSCWD 2024: 1734-1739 - Yunkang Cao, Jiangning Zhang, Luca Frittoli, Yuqi Cheng, Weiming Shen, Giacomo Boracchi:
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection. ECCV (35) 2024: 55-72 - Qiaomei Han, Xianbin Wang, Weiming Shen:
Distributed Link Heterogeneity Exploitation for Attention-Weighted Robust Federated Learning in 6G Networks. INFOCOM (Workshops) 2024: 1-6 - Zhenyu Yang, Shengsheng Qian, Dizhan Xue, Jiahong Wu, Fan Yang, Weiming Dong, Changsheng Xu:
Semantic Editing Increment Benefits Zero-Shot Composed Image Retrieval. ACM Multimedia 2024: 1245-1254 - Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng:
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR 2024: 1722-1732 - Zhenyu Yang, Dizhan Xue, Shengsheng Qian, Weiming Dong, Changsheng Xu:
LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval. SIGIR 2024: 80-90 - Weiming Shen, Jean-Paul A. Barthès, Junzhou Luo, Tie Qiu, Xiaobo Zhou, Jinghui Zhang, Haibin Zhu, Kunkun Peng, Tianyi Xu, Ning Chen:
27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024, Tianjin, China, May 8-10, 2024. IEEE 2024, ISBN 979-8-3503-4918-4 [contents] - Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang, Yueting Zhuang, Weiming Lu:
Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives. CoRR abs/2401.02009 (2024) - Zhaoge Liu, Xiaohao Xu, Yunkang Cao, Weiming Shen:
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction. CoRR abs/2401.08332 (2024) - Yunkang Cao, Xiaohao Xu, Jiangning Zhang, Yuqi Cheng, Xiaonan Huang, Guansong Pang, Weiming Shen:
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect. CoRR abs/2401.16402 (2024) - Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu:
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization. CoRR abs/2402.17574 (2024)
