6 citations · 8 across the 11 of their papers we have counts for
11 papers
Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-Distillation
Yubo Jiang, Fengying Xie, Zhiguo Jiang +1
Reinforcement learning with verifiable rewards yields no group-relative signal when rollout groups are uniformly correct or uniformly wrong, which account for 63.0-68.0% of groups…
Global Context or Local Detail? Adaptive Visual Grounding for Hallucination Mitigation
Yubo Jiang, Xin Yang, Abudukelimu Wuerkaixi +7
Vision-Language Models (VLMs) are frequently undermined by object hallucination--generating content that contradicts visual reality--due to an over-reliance on linguistic priors. W…
Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding
Yubo Jiang, Yitong An, Xin Yang +7
Vision-Language Models (VLMs) are frequently undermined by object hallucination, generating content that contradicts visual reality, due to an over-reliance on linguistic priors. W…
V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization
Yubo Jiang, Yitong An, Xin Yang +7
We introduce V-tableR1, a process-supervised reinforcement learning framework that elicits rigorous, verifiable reasoning from multimodal large language models (MLLMs). Current MLL…
Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder
Kun Wu, Zhiguo Jiang, Kunming Tang +5
Large-scale pre-training models have promoted the development of histopathology image analysis. However, existing self-supervised methods for histopathology images primarily focus…
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
Yilan Zhang, Jianqi Chen, Ke Wang +1
Skin image datasets often suffer from imbalanced data distribution, exacerbating the difficulty of computer-aided skin disease diagnosis. Some recent works exploit supervised contr…
TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis
Yilan Zhang, Fengying Xie, Jianqi Chen
Multi-modal skin lesion diagnosis (MSLD) has achieved remarkable success by modern computer-aided diagnosis (CAD) technology based on deep convolutions. However, the information ag…
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval
Yilan Zhang, Fengying Xie, Xuedong Song +4
The computer-aided diagnosis (CAD) system can provide a reference basis for the clinical diagnosis of skin diseases. Convolutional neural networks (CNNs) can not only extract visua…
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification
Yushan Zheng, Jun Li, Jun Shi +2
Transformer has been widely used in histopathology whole slide image (WSI) classification for the purpose of tumor grading, prognosis analysis, etc. However, the design of token-wi…
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
Jun Li, Yushan Zheng, Kun Wu +3
Local representation learning has been a key challenge to promote the performance of the histopathological whole slide images analysis. The previous representation learning methods…
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions
Yushan Zheng, Zhiguo Jiang, Haopeng Zhang +3
Content-based histopathological image retrieval (CBHIR) has become popular in recent years in the domain of histopathological image analysis. CBHIR systems provide auxiliary diagno…