Bin Wang

ELM-TAM: a structure-based, function-oriented land model embracing fine-root system complexity

Bin Wang, M. Luke McCormack, Daniel Ricciuto, X. B. Yang, Min Xu, Forrest M. Hoffman

Abstract. Land models typically represent the entire fine-root system as a single homogeneous pool, collapsing structural and functional complexity into one set of parameters. This simplification weakens the belowground feedbacks that balance source-driven carbon dynamics. Here,…Read more

Technical Report on the CVPR 2026@AdvML Workshop Challenge

Tianyuan Zhang, Zonglei Jing, Jiangfan Liu, Ligong Zhang, Ke Ma, Chengzhi Sun, et al.

Vision-language agents (VLAs) are increasingly used to interpret complex driving scenes and support safety-critical reasoning. This report presents the CVPR 2026@AdvML Workshop Challenge on adversarial multimodal attacks against autonomous-driving VLAs. Built on DriveLM-style mul…Read more

MLLM-DataEngine: Closing the Loop of Multimodal Instruction Tuning Data Generation

Zhiyuan Zhao, Bin Wang, Linke Ouyang, Yiqi Lin, Pan Zhang, Xiaoyi Dong, et al.

In this paper, we propose MLLM-DataEngine, a novel closed-loop system that bridges data generation, model training, and evaluation. Within each loop iteration, the MLLM-DataEngine first analyzes the weakness of the model based on the evaluation results, then generates a proper in…Read more

Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology

Bin Wang, Shuo Lian, Yuanyuan Hou, Dexian Wang, Peilan He, Feng Hong, et al.

Depression screening from large-scale behavioral data is challenged by fragmented circadian indicators, limited interpretability, and the lack of intervention-oriented analysis. Existing approaches typically analyze sleep, activity, and social behaviors in isolation, failing to c…Read more

MVFusion-GS: Motion-Variance Guided Temporal Attention for High-Quality Dynamic Gaussian Splatting

Jianwei Hu, Tingxuan Huang, Hengyu Zhou, Ningna Wang, Xiaohu Guo, Jinshan Lai, et al.

3D Gaussian Splatting (3DGS) enables real-time novel view synthesis for static scenes. Extending it to dynamic scenes via deformation fields has recently attracted significant attention, particularly for dynamic scene reconstructionband distractor-free. However, existing deformat…Read more

Deep Learning-Enhanced Inverse Modeling of Terahertz Metasurface Based on a Convolutional Neural Network Technique

Muzhi Gao, Dawei Jiang, Gaoyang Zhu, Bin Wang

The traditional design method for terahertz metasurface biosensors is cumbersome and time-consuming, requires expertise, and often leads to significant discrepancies between expected and actual values. This paper presents a novel approach for the fast, efficient, and convenient i…Read more

Machine learning-guided deep eutectic electrolytes for high energy density and safe lithium–air batteries

Jinlu Song, Ding Ding, Lihong Chen, Heyu Xiao, Qisheng Fang, Jianli Cheng, et al.