About Me

February 2025 - present

  • Professor, School of Astronautics, Northwestern Polytechnical University

March 2025 - present

  • External Mentor, College of Information and Control Engineering, Xi'an University of Architecture and Technology

February 2022 - February 2025

  • Postdoctoral, Beijing Institute of Technology (BIT), Collaborating mentors: Erke Mao, Teng Long

2017 - 2021

  • Ph.D student, School of Automation, Northwestern Polytechnical University (NWPU)

Reaserch Interests

Autopilot, Signal Processing, Computer Vision

  • At present, we mainly use the camera-lidar fusion method for depth completion, object detection, semantic segmentation, tracking and online cross-sensor calibration, and design the fusion of multiple modalities according to different vision tasks. Optimize the processing of different modal signals collected by different sensors such as cameras and lidars. Aiming at how to model vehicle-road collaboration in the same coordinate system, how to realize the signals collected by multiple sensors at the vehicle end and road end to work in 4D space and other directions.

Remote sensing image processing

  • At present, in the field of remote sensing image processing, we mainly adopt advanced algorithms and multi-source data collaboration for pre-processing, feature mining, and intelligent interpretation, and design targeted technical solutions according to different application demands. Optimize the processing of remote sensing data from diverse sensors such as optical, radar, and thermal infrared. Aiming at how to achieve high-precision change detection in complex scenes, how to realize efficient fusion of multi-modal remote sensing data for refined ground object extraction, and other directions.

Medical Image Processing

  • At present, we mainly focus on applying image processing technologies to analyze and interpret medical imaging data for improved diagnosis and treatment planning. Our research develops advanced algorithms and multimodal integration strategies for key clinical tasks, including disease classification, detection, and lesion segmentation. We explore a range of modeling approaches—from specialized models to generalizable frameworks such as foundation models, as well as lightweight architectures for real-world deployment—prioritizing model interpretability, clinical workflow efficiency, reduced resource use, and practical clinical value. Ultimately, our work aims to bridge technical innovation with tangible improvements in diagnostic accuracy, therapeutic decision-making, and healthcare efficiency.

Main Publication

GasUpper: Gas-Aware Upsampling for Enhanced Gas Segmentation

CAAI Artificial Intelligence Research 4, 2025

Y Lu, X Wang, J Cui, L Yang, S Wang, Y Zhao, Binglu Wang*

[Paper] [Bibtex]

Radiologist-inspired Symmetric Local-Global Multi-Supervised Learning for early diagnosis of pneumoconiosis

Expert Systems with Applications, 127173, 2025

Jiarui Wang, Meiyue Song, Deng-Ping Fan, Xiaoxu Wang, Shaoting Zhang, Juntao Yang, Jiangfeng Liu, Chen Wang, Binglu Wang*

[Paper] [Bibtex]

CM-YOLO: Context Modulated Representation Learning for Ship Detection

IEEE Transactions on Geoscience and Remote Sensing, 2025

L Min, F Dou, Y Zhang, D Shao, L Li, B Wang*

[Paper] [Bibtex]

Multimodal Large Models Are Effective Action Anticipators

IEEE Transactions on Multimedia, 2025

B Wang, Y Tian, S Wang, L Yang

[Paper] [Bibtex]

Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model

European Conference on Computer Vision, 369–386, 2025

Y Jin, L Zhang, S Yan, B Fan, B Wang*

[Paper] [Bibtex]

Federated Feature Augmentation and Alignment

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Tianfei Zhou, Ye Yuan, Binglu Wang, Ender Konukoglu

[Paper] [Bibtex]

Collaborative Multimodal Fusion Network for Multiagent Perception

IEEE Transactions on Cybernetics, 2024

L Zhang, Binglu Wang, Y Zhao, Y Yuan, T Zhou

[Paper] [Bibtex]

LLMAction: Adapting Large Language Model for Long-Term Action Anticipation

Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024

Binglu Wang, Y Tian, C Wang, L Yang

[Paper] [Bibtex]

Chareption: Change-Aware Adaption Empowers Large Language Model for Effective Remote Sensing Image Change Captioning

Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024

C Wang, N He, Binglu Wang*

[Paper] [Bibtex]

Content and Relation Fuzzy Mitigation Framework for Intent Perception

IEEE Transactions on Fuzzy Systems, 2024

Wenxin Zhang, Hao Qi, Shutong Wang, Ziqi Lin, Binglu Wang*

[Paper] [Bibtex]

Enhanced Window-Based Self-Attention with Global and Multi-Scale Representations for Remote Sensing Image Super-Resolution

Remote Sensing 2024

Y Lu, S Wang, Binglu Wang*, X Zhang, X Wang, Y Zhao

[Paper] [Bibtex]

Two-stage Spatial-Frequency Joint Learning for Large-Factor Remote Sensing Image Super-Resolution

IEEE Transactions on Geoscience and Remote Sensing, 2024

Jiarui Wang, Yuting Lu, , Binglu Wang* , Xiaoxv Wang, Teng Long

[Paper] [Bibtex]

PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis

Medical Image Analysis

Meiyue Song, Zhihua Yu, Jiaxin Wang, Jiarui Wang, Yuting Lu, Baicun Li, Xiaoxu Wang, Qinghua Huang, Zhijun Li,
Nikolaos I Kanellakis, Jiangfeng Liu, Jing Wang, Binglu Wang*, Juntao Yang

[Paper] [Bibtex]

TransGOP: Transformer-Based Gaze Object Prediction

Proceedings of the AAAI Conference on Artificial Intelligence, 2024

Binglu Wang, Chenxi Guo, Yang Jin, Haisheng Xia, Nian Liu

[Paper] [Bibtex]

基于多传感器融合的协同感知方法

雷达学报, 2023

王秉路,靳杨,张磊,郑乐,周天飞

[Paper] [Bibtex]

Temporal Action Localization in the Deep Learning Era: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

Binglu Wang, Yongqiang Zhao, Le Yang, Teng Long, Xuelong Li

[Paper] [Bibtex]

Joint Denoising-Demosaicking Network for Long-Wave Infrared Division-of-Focal-Plane Polarization
Images with Mixed Noise Level Estimation

IEEE Transactions on Image Processing, 2023

Ning Li, Binglu Wang*, François Goudail, Yongqiang Zhao, Quan Pan

[Paper] [Bibtex]

Core: Cooperative reconstruction for multi-agent perception

IEEE/CVF International Conference on Computer Vision 2023

Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, Tianfei Zhou

[Paper] [Code] [Bibtex]

Multi-level Deep Learning Kalman Filter

IEEE International Conference on Advanced Robotics & Mechatronics 2023

Shi Yan, Yan Liang, Binglu Wang*

[Paper] [Bibtex]

Densitytoken: Weakly-Supervised Crowd Counting with Density Classification

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023

Zaiyi Hu, Binglu Wang*, Xuelong Li

[Paper] [Code] [Bibtex]

Coarse-to-Fine Nutrition Prediction

IEEE Transactions on Multimedia, 2023

Binglu Wang, Tianci Bu, Zaiyi Hu, Yongqiang Zhao, Xuelong Li

[Paper] [Code] [Bibtex]

Learning Pixel-Adaptive Weights for Portrait Photo Retouching

Pattern Recognition, 2023

Binglu Wang, Chengzhe Lu, Dawei Yan, Yongqiang Zhao, Ning Li, Xuelong Li

[Paper] [Code] [Bibtex]

Hybrid Attention-Based U-Shaped Network for Remote Sensing Image Super-Resolution

IEEE Transactions on Geoscience and Remote Sensing, 2023

Jiarui Wang, Binglu Wang*, Xiaoxu Wang, Yongqiang Zhao and Teng Long

[Paper] [Code] [Bibtex]

Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote
Sensing Image Super-Resolution

IEEE Transactions on Geoscience and Remote Sensing, 2023

Yuting Lu, Lingtong Min, Binglu Wang*, Le Zheng, Xiaoxu Wang, Yongqiang Zhao, Teng Long

[Paper] [Bibtex]

Prototype-based Intent Perception

IEEE Transactions on Multimedia, 2023

Binglu Wang, Kang Yang, Yongqiang Zhao, Teng Long, Xuelong Li

[Paper] [Code] [Bibtex]

LCH: fast RGB-D salient object detection on CPU via lightweight convolutional network with hybrid
knowledge distillation

Visual Computer, 2023

Binglu Wang , Fan Zhang, Yongqiang Zhao

[Paper] [Bibtex]

GaTector: A Unified Framework for Gaze Object Prediction

IEEE Conference on Computer Vision and Pattern Recognition, 2022

Binglu Wang*, Tao Hu, Baoshan Li, Xiaojuan Chen, Zhijie Zhang

[Paper] [Code] [Bibtex]

Exploring Sub-Action Granularity for Weakly Supervised Temporal Action Localization

IEEE Transactions on Circuits and Systems for Video Technology, 2021

Binglu Wang, Xun Zhang, Yiongqang Zhao

[Paper] [Bibtex]

Multiple Instance Graph Learning for Weakly Supervised Remote Sensing Object Detection

IEEE Transactions on Geoscience and Remote Sensing, 2021

Binglu Wang, Yongqiang Zhao, Xuelong Li

[Paper] [Bibtex]

POLO: Learning Explicit Cross-Modality Fusion for Temporal Action Localization

IEEE Signal Processing Letters, 2021

Binglu Wang, Le Yang, Yiongqiang Zhao

[Paper] [Bibtex]

PFWNet: Pretraining neural network via feature jigsaw puzzle for weakly-supervised temporal action localization

Neurocomputing, 2021

Binglu Wang, Yongqiang Zhao, Yani Zhang

[Paper] [Bibtex]

I2net: Mining intra-video and inter-video attention for temporal action localization

Neurocomputing, 2021

Wei Zhang, Binglu Wang* , Songhui Ma, Yani Zhang, Yongqiang Zhao

[Paper] [Bibtex]

Other Publication

Contextual and orientation correction modules enhance weakly-supervised aerial object detection in remote sensing images

Engineering Applications of Artificial Intelligence 161, 112110, 2025

L Yang, S Wang, X Wang, S Wang, Y Lu, Binglu Wang

[Paper] [Bibtex]

Belief-based Fuzzy and Imprecise Clustering for Arbitrary Data Distributions

IEEE Transactions on Fuzzy Systems, 2025

Z Zhang, Z Liu, L Ning, H Tian, Binglu Wang

[Paper] [Bibtex]

A Robust Kernel‐Based Global Identification Method for Hammerstein Parameters Varying System With Non‐Gaussian Output Noises

International Journal of Robust and Nonlinear Control, 2025

Z Ma, X Zhao, X Wang, L Zheng, Y Chao, Binglu Wang, Z Gong, M Yang

[Paper] [Bibtex]

FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance

Proceedings of the Computer Vision and Pattern Recognition Conference, 1905-1916, 2025

D Shao, M Shi, S Xu, H Chen, Y Huang, Binglu Wang

[Paper] [Bibtex]

Adaptive Fusion Learning for Compositional Zero-Shot Recognition

IEEE Transactions on Multimedia, 2024

L Min, Z Fan, S Wang, F Dou, X Li, Binglu Wang

[Paper] [Bibtex]

Perspective on Wearable Systems for Human Underwater Perceptual Enhancement

IEEE Transactions on Cybernetics, 2024

H Xia, F Liao, B Bao, J Chen, Binglu Wang, Q Huang, Z Li

[Paper] [Bibtex]

Memory-biomimetic deep Bayesian filtering

Information Fusion 112, 102580, 2024

S Yan, Y Liang, L Zheng, M Fan, Binglu Wang

[Paper] [Bibtex]

Scale-aware Backprojection Transformer for Single Remote Sensing Image Super-Resolution

IEEE Transactions on Geoscience and Remote Sensing, 2024

J Hao, W Li, Y Lu, Y Jin, Y Zhao, S Wang, Binglu Wang

[Paper] [Bibtex]

Local Identification of Hammerstein Parameter Varying Systems with Asymmetric Noise Characteristics

China Automation Congress (CAC), 2024

Ma Zhengya, Chao Yiwei, Liu Kangbo, Wang Xiaoxu, Binglu Wang

[Paper] [Bibtex]

A Patch-Based Method for Underwater Image Enhancement With Denoising Diffusion Models

IEEE Transactions on Cybernetics, 2024

H Xia, B Bao, F Liao, J Chen, Binglu Wang, Z Li

[Paper] [Bibtex]

Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems, 2024

Fan Zhang, Huiying Liu, Qing Cai, Chun-Mei Feng, Binglu Wang, Shanshan Wang, Junyu Dong, David Zhang

[Paper] [Bibtex]

Vision-based Wearable Steering Assistance for People with Impaired Vision in Jogging

ICRA, 2024

X Liu, Binglu Wang, Z Li

[Paper] [Bibtex]

Multi-Sensory Visual-Auditory Fusion of Wearable Navigation Assistance for People With Impaired Vision

IEEE Transactions on Automation Science and Engineering, 2024

Yang Song and Zhijun Li and Guoxin Li and Binglu Wang and Min Zhu and Peng Shi

[Paper] [Bibtex]

U2PNet: An Unsupervised Underwater Image-Restoration Network Using Polarization

IEEE Transactions on Cybernetics, 2024

Linhao Shen, Haisheng Xia, Xun Zhang, Yongqiang Zhao, Ning Li, Seong G Kong, Binglu Wang, Zhijun Li

[Paper] [Bibtex]

Differential feature awareness network within antagonistic learning for infrared-visible object detection

IEEE Transactions on Circuits and Systems for Video Technology, 2023

Ruiheng Zhang, Lu Li, Qi Zhang, Jin Zhang, Lixin Xu, Baomin Zhang, Binglu Wang

[Paper] [Bibtex]

Enhanced dynamic feature representation learning framework by Fourier transform for domain generalization

Information Sciences, 2023

Xin Wang, Qingjie Zhao, Changchun Zhang, Binglu Wang, Lei Wang, Wangwang Liu

[Paper] [Bibtex]

Multi-level Gated Bayesian Recurrent Neural Network for State Estimation

arXiv preprint arXiv:2310.17187

Shi Yan, Yan Liang, Le Zheng, Mingyang Fan, Binglu Wang, Xiaoxu Wang

[Paper] [Bibtex]

DSLSM: Dual-kernel-induced statistic level set model for image segmentation

Expert Systems with Applications, 2023

Fan Zhang, Huiying Liu, Xiaojun Duan, Binglu Wang, Qing Cai, Huafeng Li, Junyu Dong, David Zhang

[Paper] [Bibtex]

A Dual-Attention Deep Discriminative Domain Generalization Model for Hyperspectral Image Classification

Remote Sensing, 2023

Qingjie Zhao, Xin Wang, Binglu Wang, Lei Wang, Wangwang Liu, Shanshan Li

[Paper] [Bibtex]

Forward modeling and inverse estimation for nonlinear filtering

International Journal of Robust and Nonlinear Control, 2023

Haoran Cui, Long Zhang, Xiaoxu Wang, Mingyong Liu, Binglu Wang

[Paper] [Bibtex]

YOLO-DCTI: Small Object Detection in Remote Sensing Base on Contextual Transformer Enhancement

Remote Sensing, 2023

Lingtong Min, Ziman Fan, Qinyi Lv, Mohamed Reda, Linghao Shen, Binglu Wang

[Paper] [Bibtex]

SODA: Weakly supervised temporal action localization based on astute background response and self-distillation learning

International Journal of Computer Vision, 2021

Tao Zhao, Junwei Han, Le Yang, Binglu Wang, Dingwen Zhang

[Paper] [Bibtex]

LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution

Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021

Zijian Wang, Yao Lu, Yani Zhang, Haowei Lu, Shunzhou Wang, Binglu Wang

[Paper] [Bibtex]

Social Work

  • 国际期刊 Robotic Intelligence and Automation (RIA) 编委
  • 陕西省图形图像学学会理事
  • IEEE ARM 2023(自动化学会 A 类会议)领域主席
  • 中国指控学会(陕西)青年科学家俱乐部 轮值主席
  • IEEE TPAMI/IEEE TCYB/IEEE TIE/CVPR 等 10+国际顶级期刊和重要会议的审稿人
  • 第二届北京理工大学博士后联谊会理事长/第三十四届北京博士后联谊会理事

Teaching Achievements

  • 清华AIR-百度Apollo车路协同自动驾驶算法挑战赛 优胜奖
  • 西工大教育实验学院大学生创新创业重点支持领域项目(全院唯一)

Awards

  • 陕西省高等学校科学技术一等奖(排名2/6)
  • 中国指挥与控制学会技术发明二等奖(排名 2/6)
  • 中国产学研学会合作创新与促进优秀奖(排名 4/10)
  • 陕西省科技工作者创新创业大赛一等奖(排名 3/8)
  • 陕西省科技工作者创新创业大赛三等奖(排名 3/10)
  • 陕西省高等学校科学技术一等奖(排名 2/6)
  • 西北工业大学优秀毕业生