most citedLearning Musical Representations for Music Performance Question Answering

1 citations · 1 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Exploiting Label-Independent Regularization from Spatial Dependencies for Whole Slide Image Analysis

Weiyi Wu, Xinwen Xu, Chongyang Gao +3

Whole slide images, with their gigapixel-scale panoramas of tissue samples, are pivotal for precise disease diagnosis. However, their analysis is hindered by immense data size and…

cs.CV2026

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization

Xingjian Diao, Zheyuan Liu, Chunhui Zhang +6

Large Vision-Language Models (LVLMs) have exhibited strong reasoning capabilities through chain-of-thought mechanisms that generate step-by-step rationales. However, such slow-thin…

cs.CL2025

Synthetic Clinical Notes for Rare ICD Codes: A Data-Centric Framework for Long-Tail Medical Coding

Truong Vo, Weiyi Wu, Kaize Ding

Automatic ICD coding from clinical text is a critical task in medical NLP but remains hindered by the extreme long-tail distribution of diagnostic codes. Thousands of rare and zero…

cs.CV2025

ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering

Xingjian Diao, Weiyi Wu, Keyi Kong +5

Visual Question Answering (VQA) is increasingly used in diverse applications ranging from general visual reasoning to safety-critical domains such as medical imaging and autonomous…

cs.SD2025

Learning Sparsity for Effective and Efficient Music Performance Question Answering

Xingjian Diao, Tianzhen Yang, Chunhui Zhang +3

Music performances, characterized by dense and continuous audio as well as seamless audio-visual integration, present unique challenges for multimodal scene understanding and reaso…

cs.CL2025

SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models

Xingjian Diao, Chunhui Zhang, Keyi Kong +6

While large language models have demonstrated impressive reasoning abilities, their extension to the audio modality, particularly within large audio-language models (LALMs), remain…