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Qian Gao

7 accepted papers

2026

Active Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning

CVPR 2026

Micro-gestures are subtle and transient movements triggered by unconscious neural and emotional activities, holding great potential for human-computer interaction and clinical monitoring. However, their low amplitude, short duration, and strong inter-subject variability make existing deep models pro

Cited by 0SourceScholar
2025

A Triangular Stable Node Network based on Self-supervised Learning for personalized prediction

ICASSP 2025accepted

In recent years, research has illuminated the potency of implicit data processing in enhancing user preferences. Nevertheless, barriers remain in breaking through the constraints of implicit information. This study aims to bridge this gap by firstly constructing a triangular stable node network mode…

Cited by 0SourceScholar
2025

Towards Fully Autonomous Robotic Ultrasound-guided Biopsy for Superficial Organs

IROS 2025

Ultrasound-guided therapeutic procedures rely heavily on operator skill, leading to variability and high training costs. The shortage of trained ultra-sonographers further exacerbates the issue, increasing workloads and associated health risks. Robotic technology has the potential to effectively tac

Cited by 0SourceScholar
2024

Neighbor Similarity and Multimodal Alignment based Product Recommendation Study

UAI 2024poster

Existing multimodal recommendation research still faces some challenges, such as not being able to fully mine the implicit relevance information of neighbor nodes, and the unreasonable weight allocation to imbalanced nodes. To address the aforementioned challenges, this paper introduces a new multim…

Cited by 0SourcePDFScholar
2021

Learning Deep Nets for Gravitational Dynamics With Unknown Disturbance Through Physical Knowledge Distillation: Initial Feasibility Study

RA-L 2021

Learning high-performance deep neural networks for dynamic modeling of high Degree-Of-Freedom (DOF) robots remains challenging due to the sampling complexity. Typical unknown system disturbance caused by unmodeled dynamics (such as internal compliance, cables) further exacerbates the problem. In thi

Cited by 8SourceScholar
2021

Robotic Cardinal Vein Microinjection of Zebrafish Larvae Based on 3D Positioning

ICRA 2021poster

Zebrafish (Danio Rerio) larvae have long been an important model organism for biomedicine and drug discovery. It is difficult to deliver the external materials into the circulatory system by conventional exposing administration, while vein microinjection is more efficient but more challenging. In th…

Cited by 9SourceScholar