34. Jiacheng Guo, Lei Li, Huiming Sun, Minghai Qin, Hongkai Yu, Tianyun Zhang. A Min-Max Optimization Framework for Sparse Multi-task Deep Neural Network. Neurocomputing, 2025.
33. Wenxuan Li, Qin Zou, Chi Chen, Bo Du, Long Chen, Jian Zhou, Hongkai Yu. Co-Fix3D: Enhancing 3D Object Detection With Collaborative Refinement. IEEE Robotics and Automation Letters
(RA-L), 2025.
32. Baolu Li, Ping Liu, Lan Fu, Jinlong Li, Jianwu Fang, Zhigang Xu, Hongkai Yu. Enhancing Vehicle Re-identification by Pair-flexible Pose Guided Vehicle Image Synthesis.
Green Energy and Intelligent Transportation, 2025.
31. Jinlong Li, Runsheng Xu, Xinyu Liu, Jin Ma, Baolu Li, Qin Zou, Jiaqi Ma, Hongkai Yu. Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather. IEEE
Transactions on Intelligent Vehicles (TIV), 2024.
30. Hongkai Yu, Xinyu Liu, Yonglin Tian, Yutong Wang, Chao Gou, Fei-Yue Wang. Sora-based Parallel Vision for Smart Sensing of Intelligent Vehicles: From Foundation Models to Foundation Intelligence.
IEEE Transactions on Intelligent Vehicles, 2024. (Short Letter)
29. Yunji Liang, Nengzhen Chen, Zhiwen Yu, Lei Tang, Hongkai Yu, Bin Guo, Daniel Dajun Zeng. Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving. ACM
Transactions on Intelligent Systems and Technology (TIST), 2024.
28. Qian Zhang, Qing Guo, Ruijun Gao, Felix Juefei-Xu, Hongkai Yu, Wei Feng. Adversarial Relighting Against Face Recognition. IEEE Transactions on Information Forensics and Security, 2024.
27. Talha Azfar, Jinlong Li, Hongkai Yu, Ruey L Cheu, Yisheng Lv, Ruimin Ke. Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review. Data Science for Transportation, 2024.
26. Xinyu Liu, Jinlong Li, Jin Ma, Huiming Sun, Zhigang Xu, Tianyun Zhang, Hongkai Yu. Deep Transfer Learning for Intelligent Vehicle Perception: a Survey.
Green Energy and Intelligent Transportation, 2023. [PDF]
25. Huiming Sun, Jin Ma, Qing Guo, Qin Zou, Shaoyue Song, Yuewei Lin, Hongkai Yu. Coarse-to-fine Task-driven Inpainting for Geoscience Images.
IEEE Transactions on Circuits and Systems for Video Technology, 2023. [PDF | Code]
24. Yuanhao Yue, Qin Zou, Hongkai Yu, Qian Wang, Zhongyuan Wang, Song Wang. An End-to-End Network for Co-Saliency Detection in One Single Image.
Science China Information Sciences, 2023. [PDF]
23. Jinlong Li, Runsheng Xu, Xinyu Liu, Jin Ma, Zicheng Chi, Jiaqi Ma, Hongkai Yu. Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication.
IEEE Transactions on Intelligent Vehicles, 2023. [PDF | Code]
22. Hanyu Xiang, Qin Zou, Muhammad Ali Nawaz, Xianfeng Huang, Fan Zhang, Hongkai Yu. Deep Learning for Image Inpainting: A Survey.
Pattern Recognition, 2023. PDF
21. Jianwu Fang, Jiahuan Qiao, Jie Bai, Hongkai Yu, Jianru Xue. Traffic Accident Detection via Self-supervised Consistency Learning in Driving Scenarios.
IEEE Transactions on Intelligent Transportation Systems, 2022. PDF
20. Lan Fu, Hongkai Yu, Xiaoguang Li, Craig Przybyla, Song Wang. Deep Learning for Object Detection in Materials-Science Images: A tutorial.
IEEE Signal Processing Magazine, 2022.
PDF
19. Lan Fu, Hongkai Yu, Felix Juefei-Xu, Jinlong Li, Qing Guo, Song Wang. Let There be Light: Improved Traffic Surveillancevia Detail Preserving Night-to-Day Transfer.
IEEE Transactions on Circuits and Systems for Video Technology, 2021.
[PDF | Code]
18. Jinlong Li, Zhigang Xu, Lan Fu, Xuesong Zhou, Hongkai Yu. Domain Adaptation from Daytime to Nighttime: A Situation-sensitive Vehicle Detection and Traffic Flow Parameter Estimation Framework. Transportation Research Part C: Emerging Technologies, 2021.
[PDF | Data]
17. Shaoyue Song, Zhenjiang Miao, Hongkai Yu, Jianwu Fang, Kang Zheng, Cong Ma, Song Wang. Deep Domain Adaptation Based Multi-spectral Salient Object Detection. IEEE Transactions on Multimedia, 2021.
Project Page
16. Jianwu Fang, Dingxin Yan, Jiahuan Qiao, Jianru Xue, Hongkai Yu. DADA: Driver Attention Prediction in Driving Accident Scenarios. IEEE Transactions on Intelligent Transportation Systems, 2021.
Project Page
15. Humberto Saenz, Huiming Sun, Lingtao Wu, Xuesong Zhou, Hongkai Yu. Detecting Phone-related Pedestrian Distracted Behaviors via a Two-Branch Convolutional Neural Network. IET Intelligent Transport Systems, 2021.
PDF
14. Hongkai Yu, Dazhou Guo, Zhipeng Yan, Lan Fu, Jeff Simmons, Craig P. Przybyla, Song Wang. Weakly Supervised Easy-to-hard Learning for Object Detection in Image Sequences. Neurocomputing, 2020.
PDF
13. Hongkai Yu, Kang Zheng, Jianwu Fang, Hao Guo, Song Wang. A New Method and Benchmark for Detecting Co-Saliency within a Single Image. IEEE Transactions on Multimedia, 2020. Project Page
12. Xiangmo Zhao, Pengpeng Sun, Zhigang Xu, Haigen Min, Hongkai Yu. Fusion of 3D LIDAR and Camera Data for Object Detection in Autonomous Vehicle Applications. IEEE Sensors Journal, 2020. PDF
11. Rixing Zhu, Jianwu Fang, Shuying Li, Qi Wang, Hongke Xu, Jianru Xue, Hongkai Yu. Vehicle re-identification in tunnel scenes via synergistically cascade forests. Neurocomputing, 2019. PDF
10. Dazhou Guo, Yanting Pei, Kang Zheng, Hongkai Yu, Yuhang Lu, Song Wang. Degraded Image Semantic Segmentation with Dense-Gram Networks. IEEE Transactions on Image Processing, 2019. PDF
9. Shaoyue Song, Hongkai Yu, Zhenjiang Miao, Dazhou Guo, Wei Ke, Cong Ma, Song Wang. An Easy-to-hard Learning Strategy for Within-image Co-Saliency Detection. Neurocomputing, 2019. [PDF | Data]
8. Jiangtao Kong, Jian Huang, Hongkai Yu, Hanqiang Deng, Jianxing Gong, Hao Chen. RNN-based Default Logic for Route Planning in Urban Environments. Neurocomputing, 2019. PDF
7. Shaoyue Song, Hongkai Yu, Zhenjiang Miao, Qiang Zhang, Yuewei Lin, Song Wang. Domain Adaptation for Convolutional Neural Networks based Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters, 2019. PDF
6. Dazhou Guo, Ligeng Zhu, Yuhang Lu, Hongkai Yu, Song Wang. Small Object Sensitive Segmentation of Urban Street Scene with Spatial Adjacency Between Object Classes. IEEE Transactions on Image Processing, 2018.
PDF
5. Hongkai Yu, Haozhou Yu, Hao Guo, Jeff Simmons, Qin Zou, Wei Feng, Song Wang. Multiple Human Tracking in Wearable Camera Videos with Informationless Intervals, Pattern Recognition Letters, 2018. PDF
4. Jun Zhou, Haozhou Yu, Karen Smith, Colin Wilder, Hongkai Yu, Song Wang. Identifying Designs from Incomplete, Fragmented Cultural Heritage Objects by Curve-Pattern Matching, Journal of Electronic Imaging, 2017.
PDF
3. Youjie Zhou†, Hongkai Yu†, Jeff Simmons, Craig Przybyla, Song Wang. Large-Scale Fiber Tracking through Sparsely Sampled Image Sequences of Composite Materials. IEEE Transactions on Image Processing, 2016. PDF († indicates co-first author)
2. Dazhou Guo, Julius Fridriksson, Paul Fillmore, Christopher Rorden, Hongkai Yu, Kang Zheng, Song Wang. Automated Lesion Detection on MRI Scans using Combined Unsupervised and Supervised Methods. BMC Medical Imaging, 2015.
[PDF | Code]
1. Shuguang Li, Hongkai Yu, Jingru Zhang, Kaixin Yang, Bin Ran. Video-based Traffic Data Collection System for Multiple Vehicle Types. IET Intelligent Transport Systems, 2014. PDF
44. Haochen Yang, Lei Li, Jiacheng Guo, Baolu Li, Minghai Qin, Hongkai Yu, Tianyun Zhang. DA3D: Domain-Aware Dynamic Adaptation for
All-Weather Multimodal 3D Detection. ACM Multimedia Conference, 2025.
43. Lei-lei Li, Jianwu Fang, Junbin Xiao, Shanmin Pang, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng
Chua. Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis. IEEE International
Conference on Computer Vision (ICCV), 2025.
42. Jinlong Li, Xinyu Liu, Baolu Li, Runsheng Xu, Jiachen Li, Hongkai Yu, Zhengzhong Tu. CoMamba: Real-time Cooperative Perception Unlocked with State Space Models. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
41. Baolu Li, Zongzhe Xu, Jinlong Li, Xinyu Liu, Jianwu Fang, Xiaopeng Li, Hongkai Yu. V2X-
DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception. IEEE International
Conference on Robotics and Automation (ICRA), 2025.
40. Baolu Li, Jinlong Li, Xinyu Liu, Runsheng Xu, Zhengzhong Tu, Jiacheng Guo, Xiaopeng Li, Hongkai
Yu. V2X-DGW: Domain generalization for multi-agent perception under adverse weather condi-
tions. IEEE International Conference on Robotics and Automation (ICRA), 2025.
39. Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang. An Efficient and
Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing. AAAI Conference
on Artificial Intelligence (AAAI), 2025.
38. Jiacheng Guo, Lei Li, Haochen Yang, Baocheng Geng, Hongkai Yu, Minghai Qin, Tianyun Zhang.
Robust Multi-task Adversarial Attacks Using Min-max Optimization. IEEE International Confer-
ence on Acoustics, Speech and Signal Processing (ICASSP), 2025.
37. Huiming Sun, Jiacheng Guo, Zibo Meng, Tianyun Zhang, Jianwu Fang, Yuewei Lin, Hongkai Yu. EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV. IEEE Intelligent
Vehicles Symposium (IV), 2024.
36. Xinyu Liu, Baolu Li, Runsheng Xu, Jiaqi Ma, Xiaopeng Li, Jinlong Li, Hongkai Yu. V2XDSI: A Density-Sensitive Infrastructure LiDAR Benchmark for Economic Vehicle-to-Everything
Cooperative Perception. IEEE Intelligent Vehicles Symposium (IV), 2024.
35. Baolu Li, Ping Liu, Lan Fu, Jinlong Li, Jianwu Fang, Zhigang Xu, Hongkai Yu. VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification. IEEE Intelligent Vehicles
Symposium (IV), 2024.
34. Jinlong Li, Baolu Li, Zhengzhong Tu, Xinyu Liu, Qing Guo, Felix Juefei-Xu, Runsheng Xu, Hongkai Yu. Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
33. Jianwu Fang, Lei-lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua. Abductive Ego-View Accident Video Understanding for Safe Driving Perception. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
32. Peining Shen, Jianwu Fang, Hongkai Yu, Jianru Xue. Vehicle Behavior Prediction by Episodic-Memory Implanted NDT. IEEE International Conference on Robotics and Automation (ICRA),
2024.
31. Jinlong Li, Baolu Li, Xinyu Liu, Jianwu Fang, Felix Juefei-Xu, Qing Guo, Hongkai Yu. AdvGPS: Adversarial GPS for Multi-Agent Perception Attack. IEEE International Conference on Robotics and Automation (ICRA), 2024.
30. Jinlong Li, Runsheng Xu, Xinyu Liu, Baolu Li, Qin Zou, Jiaqi Ma, Hongkai Yu. S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality. IEEE International Conference on Robotics and Automation (ICRA), 2024.
29. Jinlong Li, Baolu Li, Xinyu Liu, Runsheng Xu, Jiaqi Ma, Hongkai Yu. Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources. IEEE International Conference on Robotics and Automation (ICRA), 2024.
28. Youhong Wang, Yunji Liang, Hao Xu, Shaohui Jiao, Hongkai Yu. SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation. AAAI Conference on Artificial Intelligence (AAAI), 2024.
27. Huiming Sun, Lan Fu, Jinlong Li, Qing Guo, Zibo Meng, Tianyun Zhang, Yuewei Lin, Hongkai Yu. Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.
[PDF]
26. Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, Hongkai Yu, Bolei Zhou, Jiaqi Ma.
V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Project Page] (highlight paper, 235/9155 = 2.5%)
25. Runsheng Xu, Jinlong Li, Xiaoyu Dong, Hongkai Yu, Jiaqi Ma. Bridging the domain gap for multi-agent perception. IEEE International Conference on Robotics and Automation (ICRA), 2023.
[PDF | Code]
24. Jinlong Li, Runsheng Xu, Jin Ma, Qin Zou, Jiaqi Ma, Hongkai Yu. Domain Adaptive Object
Detection for Autonomous Driving under Foggy Weather. IEEE Winter Conference on Applications
of Computer Vision (WACV), 2023. [PDF | Code]
23. Runsheng Xu, Zhengzhong Tu, Yuanqi Dum, Xiaoyu Dong, Jinlong Li, Zibo Meng, Jiaqi Ma, Alan
Bovik, Hongkai Yu. Pik-Fix: Restoring and Colorizing Old Photos. IEEE Winter Conference on
Applications of Computer Vision (WACV), 2023.
[PDF | Code]
22. John Schultz, Andrew B Slifkin, Hongkai Yu, Eric Schearer. Proof-of-Concept: A Hands-Free Interface for Robot-Assisted Self-Feeding. International Conference on Rehabilitation Robotics (ICORR), 2022.
(2nd Place of Best Paper Award)
[PDF]
21. Hao Liu, Jimmy Dani, Hongkai Yu, Wenhai Sun, and Boyang Wang. AdvTraffic: Obfuscating Encrypted Traffic with Adversarial Examples. IEEE/ACM International Symposium on Quality of Service (IWQoS), 2022.
[Code]
20. Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang. Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[PDF | Code]
19. Huiming Sun, Yuewei Lin, Qin Zou, Shaoyue Song, Jianwu Fang, Hongkai Yu. Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments. IEEE International Conference on Computer Vision Workshop (ICCVW), 2021.
[PDF | Code]
18. Qing Guo, Xiaoguang Li, Felix Juefei-Xu, Hongkai Yu, Yang Liu, Song Wang. JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting. ACM Multimedia Conference, 2021.
[PDF | Code]
17. Abhijit Baul, Jingru Zhang, Lingtao Wu, Hongkai Yu, Weidong Kuang. Learning to Detect Pedestrian Flow in Traffic Intersections from Synthetic Data. IEEE International Intelligent Transportation Systems Conference (ITSC), 2021.
PDF
16. Emre Hatay, Jin Ma, Huiming Sun, Jianwu Fang, Zhiqiang Gao, Hongkai Yu. Learning to Detect Phone-related Pedestrian Distracted Behaviors with Synthetic Data. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021.
PDF
15. Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang. Auto-Exposure Fusion for Single-Image Shadow Removal. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[PDF | Code]
14. Lan Fu, Hongkai Yu, Megna Shah, Jeff Simmons, Song Wang. Crystallographic Symmetry for Data Augmentation in Detecting
Dendrite Cores. IS&T International Symposium on Electronic Imaging, Burlingame, CA, 2020.
[PDF]
13. Shaoyue Song, Hongkai Yu, Zhenjiang Miao, Jianwu Fang, Kang Zheng, Cong Ma, Song Wang. Multi-spectral Salient Object Detection by Adversarial Domain Adaptation. AAAI Conference on Artificial Intelligence (AAAI), New York, NY, 2020.
[Project Page]
12. Xiao Lin, Jiucai Zhang, Jin Shang, Yi Wang, Hongkai Yu, Xiaoli Zhang. Decision Making
through Occluded Intersections for Autonomous Driving. IEEE Intelligent Transportation Systems
Conference (ITSC), Auckland, New Zealand, 2019. [PDF]
11. Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang. Visual Attention Consistency under Image Transforms for Multi-label Image Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019. Project Page
10. Hongkai Yu, Kang Zheng, Jianwu Fang, Hao Guo, Wei Feng, Song Wang. Co-Saliency Detection within a Single Image. AAAI Conference on Artificial Intelligence (AAAI), New Orleans, LA, 2018.
Project Page
9. Kang Zheng, Xiaochuan Fan, Yuewei Lin, Hao Guo, Hongkai Yu, Dazhou Guo, Song Wang. Learning View-invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017.
[PDF, Code, Data]
8. Hongkai Yu, Youjie Zhou, Hui Qian, Min Xian, Song Wang. LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes. IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017. [PDF | Long Version | Code]
7. Youjie Zhou, Hongkai Yu, Song Wang. Feature Sampling Strategies for Action Recognition. IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017. [PDF | Code]
6. Hongkai Yu, Jeff Simmons, Craig P. Przybyla, Song Wang. On-the-fly Performance Evaluation of Large-scale Fiber Tracking. IS&T International Symposium on Electronic Imaging, Burlingame, CA, 2017. PDF
5. Kang Zheng, Hao Guo, Xiaochuan Fan, Hongkai Yu, Song Wang. Identifying Same Persons from Temporally Synchronized Videos Taken by Multiple Wearable Cameras. IEEE Conference on Computer Vision and Pattern Recognition Workshop on ChaLearn Looking at People (CVPRW), Las Vegas, Nev, 2016. PDF
4. Hongkai Yu, Youjie Zhou, Jeff Simmons, Craig Przybyla, Yuewei Lin, Xiaochuan Fan, Yang Mi, Song Wang.
Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nev, 2016. (Spotlight oral)
Project Page
3. Yuewei Lin, Kareem Abdelfatah, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang.
Co-interest Person Detection from Multiple Wearable Camera Videos. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015. PDF
2. Hongkai Yu, Min Xian, Xiaojun Qi. Unsupervised Cosegmentation Based on a New
Global GMM Constraint in MRF. IEEE International Conference on Image Processing
(ICIP), Paris, France, 2014. [PDF | Code]
1. Hongkai Yu, Xiaojun Qi. Unsupervised Cosegmentation Based on Superpixel Matching
and FastGrabCut. IEEE International Conference on Multimedia and Expo (ICME), Chengdu, China, 2014. PDF