4 citations · 9 across the 10 of their papers we have counts for
11 papers
OCR-Agent: Agentic OCR with Capability and Memory Reflection
Shimin Wen, Zeyu Zhang, Xingdou Bian +5
Large Vision-Language Models (VLMs) have demonstrated significant potential on complex visual understanding tasks through iterative optimization methods.However, these models gener…
OmniOCR: Generalist OCR for Ethnic Minority Languages
Bonan Liu, Zeyu Zhang, Bingbing Meng +5
Optical character recognition (OCR) has advanced rapidly with deep learning and multimodal models, yet most methods focus on well-resourced scripts such as Latin and Chinese. Ethni…
SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
Will Chow
Large Language Models (LLMs), as the foundational architecture for next-generation interactive AI applications, not only power intelligent dialogue systems but also drive the evolu…
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
Hongjie Zhu, Xiwei Liu, Rundong Xue +5
In the era of information explosion, efficiently leveraging large-scale unlabeled data while minimizing the reliance on high-quality pixel-level annotations remains a critical chal…
Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF
Hongjie Zhu, Zezheng Zhang, Zeyu Zhang +6
Alternating Current Optimal Power Flow (AC-OPF) aims to optimize generator power outputs by utilizing the non-linear relationships between voltage magnitudes and phase angles in a…
DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps
Hongjie Zhu, Zeyu Zhang, Guansong Pang +6
Weakly supervised semantic segmentation (WSSS) typically utilizes limited semantic annotations to obtain initial Class Activation Maps (CAMs). However, due to the inadequate coupli…
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
Shengbo Tan, Rundong Xue, Shipeng Luo +7
Hepatic vessels in computed tomography scans often suffer from image fragmentation and noise interference, making it difficult to maintain vessel integrity and posing significant c…
MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection
Zeyu Zhang, Nengmin Yi, Shengbo Tan +7
Cervical disc herniation (CDH) is a prevalent musculoskeletal disorder that significantly impacts health and requires labor-intensive analysis from experts. Despite advancements in…
Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey
Guohui Cai, Ying Cai, Zeyu Zhang +5
Lung cancer remains one of the leading causes of morbidity and mortality worldwide, making early diagnosis critical for improving therapeutic outcomes and patient prognosis. Comput…
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule
Guohui Cai, Ruicheng Zhang, Hongyang He +8
Pulmonary nodules are critical indicators for the early diagnosis of lung cancer, making their detection essential for timely treatment. However, traditional CT imaging methods suf…
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
Shengbo Tan, Zeyu Zhang, Ying Cai +5
Medical imaging segmentation plays a significant role in the automatic recognition and analysis of lesions. State-of-the-art methods, particularly those utilizing transformers, hav…