Peng Tang
- Multiple Instance Detection Network with Online Instance Classifier Refinement
2017/04/01 by Peng Tang, Xinggang Wang, Tang, Peng +5 · 6 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Proposal Learning for Semi-Supervised Object Detection
2020/01/15 by Peng Tang, Chetan Ramaiah, Tang, Peng +7 · 4 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- A Survey on Inference Optimization Techniques for Mixture of Experts Models
2024/12/18 by Jiacheng Liu, Liu, Jiacheng, Peng Tang +13 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #Distributed #Expert finding and Q&A systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models
2023/11/15 by Peng Tang, Pengkai Zhu, Tang, Peng +9 · 2 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
- PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
2018/07/09 by Peng Tang, Tang, Peng, Xinggang Wang +11 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
2024/03/07 by Chi Zhang, Zhang, Chi, Qilong Han +9 · 2 citations
Computer Science · #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Video Analysis and Summarization
- Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology
2022/03/11 by Fengyi Li, Nan, Yang, Peng Tang +12 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #electronic engineering #information engineering
- Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation
2022/09/05 by Nan Yang, Javier Del Ser, Nan, Yang +17 · 1 citation
Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Lung Cancer Diagnosis and Treatment #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
- R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding
2025/07/08 by Joonhyung Park, Park, Joonhyung, Peng Tang +11 · 6 citations
Computer Science · Psychology · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Social Robot Interaction and HRI
- Joint-individual fusion structure with fusion attention module for multi-modal skin cancer classification
2024/05/17 by Peng Tang, Xintong Yan, Nan Yang +6 · 1 citation
Medicine · Engineering · #Cutaneous Melanoma Detection and Management #Nonmelanoma Skin Cancer Studies #Optical Coherence Tomography Applications
- Mitigating privacy risks in Retrieval-Augmented Generation via locally private entity perturbation
2025/03/30 by Longzhu He, Peng Tang, Yuanhe Zhang +2 · 2 citations
Computer Science · #Cryptography and Data Security #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques