Peng Li

Federated Aggregation via Artificial Bee Colony and Optimal Transport for Distributed Energy Systems

Jun Wang, Lijun Lu, Peng Li, Xu Fang, Tiantian Zhang, Zhipeng Li, et al.

The rapid development of multi-entity distributed energy systems has underscored the importance of source–grid–load–storage coordinated scheduling in improving renewable energy utilization and reducing operating costs. However, traditional centralized scheduling faces privacy ris…Read more

Geometry-Enhanced Portion Estimation for Multimodal LLMs

Lin Liao, Peng Li

Image-based dietary assessment promises to replace costly, bias-prone manual recalls, but portion estimation remains a major blocker. Multimodal LLMs (MLLMs) recognize a wide range of foods zero-shot in uncontrolled photos, yet they are weak at portion estimation -- a gap we meas…Read more

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing

Weitao Xiong, Tianyu Liu, Peng Li, Kok Chung Chua, Toa Chean Khim, Pu Wang, et al.

High-fidelity simulation of mmWave radar signals for dynamic human motion is valuable for developing radar-based human sensing models; yet collecting accurately labeled measurements for a specific deployment site remains expensive. We present HybridSim, a physics-learning hybrid…Read more

DreamCharacter-1: From 3D Generative Foundation Models to Product-Ready Character Generation

Weizhe Liu, Yunjie Wu, Xiangqian Shu, Guangwei Wang, Xiangyu Xu, Peng Li, et al.

We present DreamCharacter-1, a lightweight post-adaptation framework that calibrates pretrained 3D foundation models toward high-fidelity, production-ready 3D character generation. Building upon a 3D foundation backbone, our pipeline incorporates three task-oriented components: (…Read more

Comparative Evaluation of Statistical, Machine‐Learning, and Deep‐Learning Models for Construction Sand and Gravel Price Forecasting: A Synthetic‐Data, Simulation‐Based Benchmark

You Wu, Peng Li, Jing Zhang, Fengsheng Guo, Danshu Hu, Wei He, et al.

ABSTRACT Forecasting construction sand and gravel prices is critical for infrastructure cost control, yet reliable comparisons among model families in the small‐sample, multidriver setting typical of regional markets are lacking. This study benchmarks eight algorithms—Ridge regre…Read more

LUNA: Learning Universal 3D Human Animation Beyond Skinning

Peng Li, Rawal Khirodkar, Junxuan Li, Yuan Dong, Chen Cao, Yuan Liu, et al.

Creating photorealistic, animatable 3D human avatars from monocular images still largely depends on Linear Blend Skinning (LBS) and parametric body models, which constrain expressivity and often introduce artifacts due to imperfect fitting. We propose LUNA, an LBS-free universal…Read more

Recognition of Acupoints on Human Back Based on Machine Vision and Deep Learning

Zhike Zhao, Linman Song, Songying Li, Ruihao Xue, Peng Li

Traditional acupoint localization methods rely heavily on manual operation, resulting in high subjectivity and limited accuracy. To improve the precision and stability of acupoint detection, this study integrates machine vision technology with in situ projection to achieve automa…Read more

GNSS/INS Integration Based on Machine Learning LightGBM Model for Vehicle Navigation

Bangxin Li, Guangwu Chen, Yongbo Si, Xin Zhou, Pengpeng Li, Peng Li, et al.

To solve the problem of data accuracy degradation of vehicle GNSS/INS integrated navigation systems when the GNSS signal is unavailable or there is a GNSS outage, this paper improves the existing GNSS/INS integration methodology for land vehicle navigation based on the AI method.…Read more

Enhancing scleral spur localization in OCT image with AS-U2-Net: A robust and precise deep learning approach

Shang Sun, Ningxin Dou, Xian-Lung Tang, Dazhao Zhou, Kaiwen Shi, Shengyu Wu, et al.