Junqiao Fan.

mmHRI: Towards Privacy-Preserving Human-Robot Interaction with Millimeter-Wave Radar

Junqiao Fan, Yuxuan Hu, Bofan Lyu, Yanshuo Lu, Pengfei Liu, Jiarui Zhang, Fangqiang Ding, Lihua Xie, Gen Li, Jianfei Yang

Radar-guided human–robot interaction through privacy curtains, connecting human pose and action sensing to a VLA policy.

GIVE: Grounding Human Gestures in Vision-Language-Action Models

Pengfei Liu, Gen Li, Junqiao Fan, Boyu Ma, Jindou Jia, Yang Xiao, Jianfei Yang

Grounding gestures in vision-language-action models through visual hand cues and semantic guidance for robot manipulation.

M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction

Junqiao Fan, Yunjiao Zhou, Yizhuo Yang, Xinyuan Cui, Jiarui Zhang, Lihua Xie, Jianfei Yang, Chris Xiaoxuan Lu, Fangqiang Ding

A multimodal benchmark for human mesh reconstruction: 661K frames, 50 actions, and 20 subjects.

mmPred: Radar-based Human Motion Prediction in the Dark

Junqiao Fan, Haocong Rao, Jiarui Zhang, Jianfei Yang, Lihua Xie

Predicting future human motion from radar with a diffusion model, even in the dark.

Diffusion Model Is a Good Pose Estimator from 3D RF-Vision

Junqiao Fan, Jianfei Yang, Yuecong Xu, Lihua Xie

Diffusion-based human pose estimation that handles noisy and incomplete mmWave radar signals.

NeuralMUSIC: A Hybrid Neural-Subspace Framework for Robot Sound Source Localization

Yizhuo Yang, Junqiao Fan, Shenghai Yuan, Lihua Xie

Combining learned spatial representations with MUSIC subspace estimation for robot sound source localization.

SMamDiff: Spatial Mamba for Stochastic Human Motion Prediction

Junqiao Fan, Pengfei Liu, Haocong Rao

A spatial Mamba diffusion model with residual-DCT motion encoding for coherent, diverse human motion prediction.

Generative Dataset Distillation Using Min-Max Diffusion Model

Junqiao Fan, Yunjiao Zhou, Min Chang Jordan Ren, Jianfei Yang

Balancing diversity, quality, and generation time for efficient dataset distillation.

2nd place · Dataset Distillation Challenge

Federated Learning Driven Secure Internet of Medical Things

Junqiao Fan, Xuehe Wang, Yanxiang Guo, Xiping Hu, Bin Hu

Federated learning for secure, privacy-preserving intelligence in connected healthcare.