多模态增强智能实验室 MAIL

论文列表

近年来团队代表性论文。

2026

  1. Q. Zhou, B. Zhao, T. Yang, H. Zhang, J. Gao, and Q. Wang, "Batch Loss Score for Dynamic Data Pruning," IEEE CVPR, 2026. CCF-A
  2. F. Wang, J. Yang, Z. Zhao, D. Zhang, B. Li, P. Liu, and J. Gao, "IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework," IEEE CVPR, 2026. CCF-A
  3. C. Rong, T. Han, Z. Zhao, Y. Fan, J. Wan, S. Guo, Y. Yuan, and J. Gao, "UNICBench: UNIfied Counting Benchmark for MLLM," IEEE CVPR, 2026. CCF-A
  4. D. Zhang, B. Li, F. Wang, Z. Zhao, and J. Gao, "Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting," IEEE CVPR, 2026. CCF-A
  5. Y. Zhang, Z. Qing, J. Gao, and Q. Wang, "Beyond Prompt Degradation: Prototype-Guided Dual-Pool Prompting for Incremental Object Detection," IEEE CVPR, 2026. CCF-A
  6. B. Li, T. Huo, D. Zhang, Z. Zhao, J. Gao, and X. Li, "Exploring the Underwater World Segmentation without Extra Training," IEEE CVPR, 2026. CCF-A
  7. B. Li, F. Wang, D. Zhang, Z. Zhao, J. Gao, and X. Li, "MARIS: Marine Open-Vocabulary Instance Segmentation with Geometric Enhancement and Semantic Alignment," IEEE CVPR, 2026. CCF-A
  8. Q. Zhou, L. Yang, Y. Jia, J. Gao, W. Ni, J. Wu, and Q. Wang, "Reasoning via Implicit Self-Supervised Emergence for Instruction Segmentation," AAAI, 2026. CCF-A
  9. B. Li, H. Dong, D. Zhang, Z. Zhao, H. Sun, and J. Gao*, "Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing," AAAI, 2026 （Oral）. CCF-A
  10. Q. Zhou, T. Yang, B. Zhao, H. Zhang, J. Gao, and Q. Wang, "Inconsistency Biases in Dynamic Data Pruning," ICLR, 2026. CCF-A
  11. B. Zhang, J. Gao, and Y. Yuan, "Multimodal Graph Conditioned Diffusion Model for VideoCaptioning," WWW, 2026. CCF-A
  12. D. Zhang, B. Li, Z. Zhao, F. Nie, J. Gao, and X. Li, "FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis," ICDE, 2026. CCF-A
  13. J. Gao, D. Zhang, Q. Wang, Z. Zhao, and X. Li, "Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation," Pattern Recognition, 2026.
  14. J. Wan, Z. Liu, J. Gao*, X. Wu, and A. B. Chan, "Adaptive Momentum Weight Averaging Reduces Initialization Noise," Pattern Recognition, 2026.
  15. X. Han, C. Yang, J. Gao, and Q. Wang, "Balancing Optimization Strategies and Practical Goals: An Efficient Scene Text Detector," IEEE T-MM, 2026. CCF-A
  16. B. Zhang, J. Gao, and Y. Yuan, "Dual-Branch Multimodal Graph Learning for Contextual Semantic Enhanced Video Captioning," IEEE T-MM, 2026. CCF-A

2025

  1. W. Lin, Y. Zhou, J. Zhang, R. Shao, Z. Zhao, J. Gao*, A. B. Chan, and X. Li*, "PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework," NeurIPS, 2025. CCF-A
  2. Q. Zhou, J. Gao*, and Q. Wang*, "Scale Efficient Training for Large Datasets," IEEE CVPR, 2025. CCF-A
  3. H. Guo, J. Gao, and Y. Yuan, "Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting," AAAI, 2025. CCF-A
  4. B. Li, D. Zhang, Z. Zhao, J. Gao, and X. Li, "StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation," ACM MM, 2025. CCF-A
  5. F. Wang, Z. Zhao, Y. Liu, D. Zhang, J. Gao*, H. Sun, and X. Li*, "SVGen: Interpretable Vector Graphics Generation with Large Language Models," ACM MM, 2025. CCF-A
  6. M. Dai, J. Sun, Z. Zhao, X. Liu, R. Li, J. Gao*, and X. Li*, "From Captions to Rewards (CaReVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models," ACM MM, 2025. CCF-A
  7. M. Dai, S. Liu, Z. Zhao, J. Gao, H. Sun, and X. Li, "Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security," ACM MM, 2025. CCF-A
  8. D. Zhang, F. Wang, B. Li, Z. Zhao, J. Gao, and X. Li, "KAID: Knowledge-Aware Interactive Distillation for Vision-Language Models," ACM MM, 2025. CCF-A
  9. H. Li, H. Gao, Z. Zhao, Z. Lin, J. Gao*, and X. Li*, "LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges," ACL, 2025. CCF-A
  10. Z. Lin, Z. Zhou, Z. Zhao, T. Wan, Y. Ma, J. Gao*, and X. Li*, "WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code," ACL Findings, 2025.
  11. Y. Jia, Q. Zhou, J. Gao, Q. Li, and Q. Wang, "Like Humans to Few-Shot Learning Through Knowledge Permeation of Visual and Language," IEEE T-MM, 2025. CCF-A
  12. X. Han, J. Gao, C. Yang, Y. Yuan, and Q. Wang, "Spotlight Text Detector: Spotlight on Candidate Regions Like a Camera," IEEE T-MM, 2025. CCF-A
  13. X. Han, J. Gao, C. Yang, Y. Yuan, and Q. Wang, "Focus Entirety and Perceive Environment for Arbitrary-Shaped Text Detection," IEEE T-MM, 2025. CCF-A
  14. Y. Yuan, H. Guo, and J. Gao*, "Distance-Aware Network for Physical-World Object Distribution Estimation and Counting," Pattern Recognition, 2025.
  15. L. Ning, Q. Zhou, Q. Wang, J. Gao*, and X. Li, "Cross-Resolution Change Detection in Remote Sensing via Unequal Relationships From a Frequency Perspective," IEEE T-GRS, 2025.
  16. J. Gao, D. Zhang, F. Wang, L. Ning, Z. Zhao, and X. Li, "Combining SAM With Limited Data for Remote Sensing Change Detection," IEEE T-GRS, 2025. ESI 高被引
  17. D. Zhang, H. Yang, J. Gao*, and X. Li*, "Imbalanced Flight Test Sensor Temporal Data Anomaly Detection," IEEE T-AES, 2025.
  18. J. Gao, H. Yang, D. Zhang, Y. Yuan, and X. Li, "Imbalanced Aircraft Data Anomaly Detection," IEEE T-AES, 2025.
  19. G. Gao#, J. Gao#, Q. Liu, Q. Wang, and Y. Wang, "A Survey of Deep Learning Methods for Density Estimation and Crowd Counting," Vicinagearth, 2025 （共同一作）.
  20. Z. Zhao, Y. Wen, S. Yang, L. Ning, Y. Liu, and J. Gao*, "Real-Time Crowd Counting for Embedded Systems with Lightweight Architecture," Vicinagearth, 2025.
  21. T. Huo, B. Li, Z. Wang, D. Zhang, Z. Zhao, and J. Gao*, "Aero-Engine Combustion Flame Segmentation via Vision Transformer," POF, 2025.
  22. H. Wu, S. Gu, Q. Wang, D. Zhang, T. Huo, Z. Wang, and J. Gao*, "Efficient Classification of Aero-Engine Flame Images: A Hybrid Model Based on ResNet and Improved Vision Mamba," CASTC, 2025.
  23. Y. Yuan*, X. Shi, and J. Gao*, "Building Extraction from Remote Sensing Images with Deep Learning: A Survey on Vision Techniques," CVIU, 2025.

2024

  1. L. Zhao, J. Gao*, D. Deng, and X. Li, "SSIR: Spatial Shuffle Multi-Head Self-Attention for Single Image Super-Resolution," Pattern Recognition, 2024.
  2. S. Bai, S. Li, W. Zhuang, J. Zhang, K. Yang, J. Hou, S. Yi, S. Zhang, and J. Gao, "Combating Data Imbalances in Federated Semi-Supervised Learning with Dual Regulators," AAAI, 2024. CCF-A
  3. B. Zhang, J. Gao, and Y. Yuan, "A Descriptive Basketball Highlight Dataset for Automatic Commentary Generation," ACM MM, 2024. CCF-A
  4. H. Ding, J. Gao*, Y. Yuan, and Q. Wang*, "FF-LPD: A Real-Time Frame-by-Frame License Plate Detector with Knowledge Distillation and Feature Propagation," IEEE T-IP, 2024. CCF-A
  5. J. Gao, L. Zhao, and X. Li, "NWPU-MOC: A Benchmark for Fine-Grained Multi-Category Object Counting in Aerial Images," IEEE T-GRS, 2024. ESI 高被引
  6. Z. Hu, J. Gao*, Y. Yuan, and X. Li*, "Contrastive Tokens and Label Activation for Remote Sensing Weakly Supervised Semantic Segmentation," IEEE T-GRS, 2024.
  7. D. Zhang, J. Gao*, and X. Li*, "Learning Long-Range Relationships for Temporal Aircraft Anomaly Detection," IEEE T-AES, 2024.

2023

  1. H. Ding, J. Gao*, Y. Yuan, and Q. Wang*, "An End-to-End Contrastive License Plate Detector," IEEE T-ITS, 2023.
  2. Y. Jia, J. Gao*, W. Huang, Y. Yuan, and Q. Wang*, "Exploring Hard Samples in Multi-View for Few-Shot Remote Sensing Scene Classification," IEEE T-GRS, 2023.
  3. J. Wang, J. Gao*, Y. Yuan, and Q. Wang*, "Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped Teacher," IEEE T-IP, 2023. CCF-A
  4. H. Ding, J. Gao*, Y. Yuan, and Q. Wang*, "Boosting One-Stage License Plate Detector via Self-Constrained Contrastive Aggregation," IEEE T-CSVT, 2023.
  5. J. Gao, H. Lu, and X. Li, "Learning from Temporal Aviation Data to Detect Anomaly Events," CASTC, 2023.
  6. 高君宇，尹阁豪，李学龙. 智能航空传感器故障诊断一体化架构设计. 中国航空科学技术大会, 2023.
  7. 高君宇，张达，李学龙. 基于多尺度表征的航空时序数据故障检测. 中国航空科学技术大会, 2023.

2022以前

  1. J. Gao, M. Gong, and X. Li, "Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer," Neurocomputing, 2022.
  2. H. Li, L. Liu, K. Yang, S. Liu, J. Gao, B. Zhao, R. Zhang, and J. Hou, "Video Crowd Localization with Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark," IEEE T-IP, 2022. CCF-A
  3. T. Han, L. Bai, J. Gao, Q. Wang, and W. Ouyang, "DR. VIC: Decomposition and Reasoning for Video Individual Counting," IEEE CVPR, 2022. CCF-A
  4. Q. Wang, J. Gao, W. Lin, and Y. Yuan, "Pixel-Wise Crowd Understanding via Synthetic Data," IJCV, 2021. CCF-A
  5. J. Gao, T. Han, Y. Yuan, and Q. Wang, "Domain-Adaptive Crowd Counting via High-Quality Image Translation and Density Reconstruction," IEEE T-NNLS, 2021.
  6. S. Bai, J. Gao*, Q. Wang*, and X. Li, "Multi-Domain Synchronous Refinement Network for Unsupervised Cross-Domain Person Re-Identification," IEEE ICME, 2021.
  7. J. Gao, Y. Yuan, and Q. Wang, "Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance," IEEE T-CYB, 2020.
  8. Q. Wang, J. Gao, W. Lin, and X. Li, "NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization," IEEE T-PAMI, 2020. CCF-A ESI 高被引
  9. T. Han#, J. Gao#, Y. Yuan, and Q. Wang, "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning," NeurIPS, 2020 （共同一作）. CCF-A
  10. Q. Wang, J. Gao, and Y. Yuan, "Learning from Synthetic Data for Crowd Counting in the Wild," IEEE CVPR, 2019. CCF-A
  11. J. Gao, Y. Yuan, and Q. Wang, "SCAR: Spatial-/Channel-Wise Attention Regression Networks for Crowd Counting," Neurocomputing, 2019.
  12. J. Gao, Q. Wang, and X. Li, "PCC Net: Perspective Crowd Counting via Spatial Convolutional Network," IEEE T-CSVT, 2019. ESI 高被引
  13. Q. Wang, J. Gao, and X. Li, "Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes," IEEE T-IP, 2019. CCF-A
  14. Q. Wang, J. Gao, and Y. Yuan, "A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling," IEEE T-ITS, 2018. ESI 高被引
  15. J. Gao, Q. Wang, and Y. Yuan, "Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection," IEEE ICRA, 2017.

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