12 citations · 16 across the 6 of their papers we have counts for
7 papers
PianoFlow: Music-Aware Streaming Piano Motion Generation with Bimanual Coordination
Xuan Wang, Kai Ruan, Jiayi Han +2
Audio-driven bimanual piano motion generation requires precise modeling of complex musical structures and dynamic cross-hand coordination. However, existing methods often rely on a…
FURINA: Free from Unmergeable Router via LINear Aggregation of mixed experts
Jiayi Han, Liang Du, Yinda Chen +3
The Mixture of Experts (MoE) paradigm has been successfully integrated into Low-Rank Adaptation (LoRA) for parameter-efficient fine-tuning (PEFT), delivering performance gains with…
CAD-Judge: Toward Efficient Morphological Grading and Verification for Text-to-CAD Generation
Zheyuan Zhou, Jiayi Han, Liang Du +3
Computer-Aided Design (CAD) models are widely used across industrial design, simulation, and manufacturing processes. Text-to-CAD systems aim to generate editable, general-purpose…
AdaFV: Rethinking of Visual-Language alignment for VLM acceleration
Jiayi Han, Liang Du, Yiwen Wu +3
The success of VLMs often relies on the dynamic high-resolution schema that adaptively augments the input images to multiple crops, so that the details of the images can be retaine…
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
Jiayi Han, Liang Du, Hongwei Du +4
Although many efforts have been made, it is still a challenge to balance the training budget, downstream performance, and the general capabilities of the LLMs in many applications.…
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
Jiayi Han, Longbin Zeng, Liang Du +2
In this work, we propose a novel complementary learning approach to enhance test-time adaptation (TTA), which has been proven to exhibit good performance on testing data with distr…
Enabling Augmented Segmentation and Registration in Ultrasound-Guided Spinal Surgery via Realistic Ultrasound Synthesis from Diagnostic CT Volume
Ang Li, Jiayi Han, Yongjian Zhao +2
This paper aims to tackle the issues on unavailable or insufficient clinical US data and meaningful annotation to enable bone segmentation and registration for US-guided spinal sur…