By now, I have published 96 research articles with peer-reviewed journals and conference proceedings spanning across AI, computer vision, multimedia,  machine learning and the intersections of them.

Book Chapters:

1.  Lin Wu, Brian C. Lovell. Deep Learning in Person Re-identification for Cyber-Physical Surveillance Systems. Deep Learning Applications for Cyber Security. Springer.  

2.  Lin Wu. Detecting Image Forgeries using Geometric Cues. Computer Vision for Multimedia Applications: Methods and Solutions. (Chapter 12), Published in the United States of America by Information Science Reference (an imprint of IGI Global), ISBN 978-1-60960-024-2.

2026

• Q. Zhong, G. Ding, L. Liu, Z. Feng, Lin Yuanbo Wu, Angela Yao. LightAVSeg: Lightweight Audio-Visual Segmentation. International Conference on Machine Learning (ICML). 2026. 

• J. Yin, N. Pu, Lin Yuanbo Wu. Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model. International Journal of Computer Vision (IJCV). Accepted 2026.

• H. Li, J. Wu, D. Liu, Lin Yuanbo Wu, H. Chen, Chuanhua Shen. Accurate Industrial Anomaly Detection and Localization using Weakly-Supervised Residual Transformers. IEEE Transactions on Image Processing, in press, 2026.

•  X. Yuan, M. Huang, Lin Yuanbo Wu. A Denoising-Enhanced Multimodal Learning Framework for Robust Nasal Endoscopy Report Generation. IEEE/CVF Computer Vision and Pattern Recognition (CVPR, Finding track). 2026. 

• X. Li, B. Wang, C. Li, B. Zhao, Lin Yuanbo Wu, J. Han. Detecting Misinformation by Uncovering Commonsense Conflicts with LLM Workflows. IEEE Transactions on Knowledge and Data Engineering, in press, 2026. 

• B. Wang, X. Li, Lin Yuanbo Wu. Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective. AAAI,  2026. 

• X. Yuan, S. Xie, C. Zhang, Lin Yuanbo Wu. Geometry-Aware Noisy Correspondence Mitigation for Cross-Modal Text-Based Person Retrieval. AAAI, 2026 (Oral, 4.6% selection). 

2025

• L. Zhu, C. Zhang, D. Liu, Lin Wu, S. Zhang, Xuelong Li. Multi-Modal Refined Prompting for Advancing Knowledge-Based Visual Question Answering. IEEE Transactions on Multimedia, accepted, 2025.

• L. Zhu, C. Zhang, Z. Yi, Lin Yuanbo Wu, Y. Zhang, S. Zhang, Farid Boussaid, M. Bennamoun. Information Bottleneck-Guided KNN Contrastive Hashing for Unsupervised Cross-Modal Retrieval. Knowledge-Based Systems, accepted, 2025.

• S. Ma, L. Zhao, Lin Yuanbo Wu, Z. Chen. Multi-View Aligned Clustering via Sample-Bundled Optimization: Anchor Graph Enhancement and Contrastive Propagation. IEEE Transactions on Multimedia, accepted, 2025.

• Z. Wang, S. Wang, D. Liu, Lin Yuanbo Wu, L. Gao, L. Qi, G. Wang. EntroFormer: An Entropy-based Sparse Vision Transformer for Real-time Semantic Segmentation. Computer Vision and Image Understanding, accepted, 2025.

• L. Zhu, C. Zhang, Z. Yi, Lin Yuanbo Wu, Y. Zhang, S. Zhang, Farid Boussaid, M. Bennamoun. Information Bottleneck-Guided KNN Contrastive Hashing for Unsupervised Cross-Modal Retrieval. Knowledge-Based Systems, accepted, 2025.

• S. Ma, L. Zhao, Lin Yuanbo Wu, Z. Chen. Multi-View Aligned Clustering via Sample-Bundled Optimization: Anchor Graph Enhancement and Contrastive Propagation. IEEE Transactions on Multimedia, accepted, 2025.

• M. Li, H. Li, Lin Yuanbo Wu, C. Liu. A Novel Local Focusing Mechanism for Deepfake Detection Generalization. British Machine Vision Conference (BMVC), 2025.

• D. Liu, Lin Yuanbo Wu, B. Li, Y. Zhao, Z. Ge, J. Zhang. T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-Up. Expert Systems with Applications (ESWA), https://doi.org/10.1016/j.eswa.2025.128178, 2025.

• G. Cai, Y. Cai, Z. Zhang, Y. Cao, Lin Wu, D. Ergu, Z. Liao, Y. Zhao. Medical artificial intelligence for early detection of lung cancer: A survey.  Engineering Applications of Artificial Intelligence, 159 (2025).

• B. Wang, X. Li, M. Ye, C. Li, B. Fu, J. Qu, Lin Yuanbo Wu. Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors. ACM Multimedia, 2025.

• M. Fu, W. Suo, J. Ma, Lin Yuanbo Wu, P. Wand, Y. Zhang. Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models. ACM Multimedia, 2025.

• W. Suo, J. Ma, M. Sun, Lin Yuanbo Wu, P. Wang, Y. Zhan. Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models. IEEE/CVF International Conference on Computer Vision (ICCV), 2025.

• X. Li, Y. Dai, Z. Yang, J. Chi, W. Gao, Lin Yuanbo Wu. Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision. AAAI, 2025.

• L. Zhu, C. Zhang, Lin Yuanbo Wu, Y. Zhang. Textual Semantics Enhancement Adversarial Hashing for Cross-Modal Retrieval. Knowledge-Based Systems. 317, 2025.

• J. Yin, X. Zhang, Lin Wu, X. Wang.  In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model. Pattern Recognition, 162, 2025.

• Z. Zeng, Q. Wu, X. Zhang, Lin Yuanbo Wu, Pei An, Jiaqi Yang, Ji Wang, PENG WANG. Unlocking Generalization Power in LiDAR Point Cloud Registration. IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2025.

• W. Suo, L. Zhang, M.Sun, Lin Yuanbo Wu, P. WANG, Yanning Zhang. Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding. IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2025.

• Q. Zhong, P. Jiang, W. Wang, G. Ding, L. Y. Wu, K. Huang. A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation. International Conference on Multimedia Expo (ICME) 2025.

• X. Yu, H. Jiang, L. Zhang, Lin Yuanbo Wu, R. Agarwal, H. Shende, L. Ou. Towards Robust Category-level Articulation Pose Estimation via Integrated Differentiable Rendering. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2025.

• L. Zhu, R. Wu, X. Zhu, C. Zhang, Lin Yuanbo Wu, S. Zhang, X. Li. Bi-Direction Label-Guided Semantic Enhancement for Cross-Modal Hashing. IEEE Trans on Circuits and Systems for Video Technology, 35:5, 3983-3999. 2025.

• Z. Wang, D. Liu, Lin Wu, S. Wang, X. Guo, L. Qi. A Deep Semantic Segmentation Network with Semantic and Contextual Refinements. IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2025.3543037. 2025.

• G. Li, H. Li, B. Li, Lin Wu, Y. Cheng. DART: Depth-Enhanced Accurate and Real-Time Background Matting.  International Conference on Multimedia Modelling, 2025.

2024

• W. Mao, M. Zhu, Z. Sun, S Shen, Lin Yuanbo Wu, H. Chen, Chunhua Shen. De novo Protein Design using Geometric Vector Field Networks. International Conference on Learning Representations (ICLR Spotlight paper, 5% acceptance), 2024.

• X. Yu, H. Jiang, L. Liu, Lin Yuanbo Wu, L. Zhang, L. Ou. EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation. NeurIPS 2024 poster (Code).

• W. Xu, L. Zhang, Q. Li, Q. Wu, Lin Yuanbo Wu, L. Liu. ICAF-4: An Integrated Framework of Category-level Articulated Object Perception and Manipulation for Embodied Intelligence. British Machine Vision Conference (BMVC), 2024.

• H. Zhao, C. Zhang, D. Liu, Lin Wu. Deformable Field Fusion for Medical Image Registration. ACM Trans on Multimedia Computing Communications and Applications, Accepted. 2024.

2023

• K. Ying, Q. Zhong, W. Mao, Z. Wang, Lin Yuanbo Wu, Hao Chen, Y., Liu, C. Fan, Chunhua Shen. CTVIS: Consistent Training for Online Video Instance Segmentation. International Conference on Computer Vision, ICCV, Paris, 2023.

• Lin Yuanbo Wu, L. Liu, Z. Zhang, Farid Boussaid, Mohammed Bennamoun, Xianghua Xie. Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-identification. IEEE trans on Image Processing, 32:4800-4811, 2023.

• D. Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaid, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang. Jacobian Norm with Selective Input Gradient Regularisation for Interpretable Adversarial Defense. Pattern Recognition, 2923.

• C. Hu, X. Xie, Lin Wu. Face Reenactment with Generative Landmark Guidance. Image and Vision Computing, 2023.

• F. Xue, Yu Li, D. Liu, Y., Xie, Lin Wu, R. Hong. LipFormer:  learning to lipread unseen speakers based on visual-landmark transformers. IEEE trans on Circuits and Systems for Video Technology, 33:9, 4507-4517, 2023.

• Z. Lin, D. Zhang, D. Shi, R. Xu, Qingyi Tao, Lin Wu, Mingguang He, Zongyuan Ge. Contrastive Pre-training and Linear Interaction Attention-based Transformer for Universal Medical Reports Generation. Journal of Biomedical Informatics. 2023.

• J. Yang, Y. Zhang, Lin Wu, Yang Lu. A coffee-ring effect-based paper sensor chip for the determination of beta-lactoglobulin in foods via a smartphone. Sensors and Actuators, 374, 2023.

• Z. Ji, J. Hu, D. Liu, Lin (Yuanbo) Wu, Ye Zhao. Asymmetric Cross-Scale Alignment for Text-Based Person Search. IEEE Transactions on Multimedia, 10.1109/TMM.2022.3225754, 2023.

2022

• Lin Wu, Deyin Liu*, Wenying Zhang, Dapeng Chen, Zongyuan Ge, Farid Boussaid, Mohammed Bennamoun, Jialie Shen. Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identification. IEEE Transactions on Image Processing. 31: 4803-4816, 2022.

• D. Chen, Min Wang, Haobin Chen, Lin Wu, Jing Qin, Wei Peng. Cross-Modal Retrieval with Heterogeneous Graph Embedding.  ACM Multimedia 2022.

• D. Liu, Lin Wu*, F. Zheng, Lingqiao Liu, M. Wang. Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation . IEEE Transactions on Neural Networks and Learning Systems. DOI (identifier) 10.1109/TNNLS.2022.3151631 , 2022.

• Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Rui Zhang.  Multi-scale Spatial Representation Learning via Recursive Polynomial Networks. IJCAI 2022.

• D. Liu, Lin (Yuanbo) Wu, R. Hong, Zongyuan Ge, Jialie Shen, Farid Boussaid, Mohammed Bennamoun. Generative Metric Learning for Adversarially Robust Open-World Person Re-identification. ACM Transactions on Multimedia Computing Communications and Applications. In press, February 2022.

2021

•  Lin Wu, Yang Wang, Junbin Gao, Meng Wang, Zheng-Jun Zha, Dacheng Tao. Deep Co-attention based Comparators for Relative Representation Learning in Person Re-identification. IEEE Transactions on Neural Networks and Learning Systems, 32(2):722-735, 2021.

• W. He, X. Wang, L. Wang, Y. Huang, Z. Yang, X. Yao, X. Zhao, L. Ju, L. Wu, Lin Wu, H. Lu, Z. Ge: Incremental learning for exudate and hemorrhage segmentation on fundus images. Inf. Fusion, 73: 157-164 (2021). 

2020

• Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao. Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. IEEE Transactions on Image Processing, 29(1):1233-1245, 2020.

• Lin Wu, Richang Hong, Yang Wang, Meng Wang. Cross-Entropy Adversarial View Adaptation for Person Re-identification.  IEEE Transactions on Circuits and Systems for Video Technology,30 (7):2081-2020, 2020.

• Deyin Liu, Yuanbo Lin Wu*, Xue Li, Lin Qi. Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks. Neural Networks, 124:109-116, 2020.

• Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Lin Wu, and Meng Wang . MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections. ICDM, 2020.

• Siqi Yang, Lin Wu, Arnold Wiliem, Brian C. Lovell. Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation. ACCV, 2020.

• Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu and Feng Zheng*. Zero-Shot Object Detection by Learning a Deep Embedding Model. IJCAI, 2020.

2019

• Lin Wu, Yang Wang, Ling Shao. Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval. IEEE Transactions on Image Processing, 28(4):1602-1612, 2019. (ESI Highly Cited Paper*3 times)

• Lin Wu, Yang Wang, Junbin Gao, Xue Li. Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification. IEEE Transactions on Multimedia , 21(6):1412-1424, 2019. (ESI Highly Cited Paper) 

• Lin Wu, Yang Wang*, Xue Li, Junbin Gao. Deep Attention-based Spatially Recursive Networks for Fine-Grained Visual Recognition. IEEE Transactions on Cybernetics,  49 (5): 1791-1802, 2019. (ESI Highly Cited Paper) 

• Lin Wu, Yang Wang, Ling Shao, Meng Wang. 3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification.  IEEE Transactions on Neural Networks and Learning Systems. 30(11): 3347-3359, 2019.

• Chengyuan Zhang, Lin Wu*, Yang Wang. Crossing Generative Adversarial Networks for Cross-View Person Re-identification. Neurocomputing, 340(7): 259-269, 2019. 

• Meng Li, Lin Wu*, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian Lovell. Deep Instance-Level Hard Negative Mining Model for Histopathology Images. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, 2019.

• Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu,  Brian Lovell. CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, 2019.

2018

• Lin Wu, Yang Wang, Xue Li, Junbin Gao. What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification. Pattern Recognition, 76:727-738, 2018. (ESI Highly Cited Paper) 

• Yang Wang, Lin Wu, Xuemin Lin, Junbin Gao. Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization. IEEE Transactions on Neural Networks and Learning Systems, 29(10):4833-4843, 2018. (ESI Highly Cited Paper) 

• Lin Wu, Yang Wang, Zongyuan Ge, Qichang Hu, Xue Li. Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification. Computer Vision and Image Understanding, 167:63-73, 2018.

• Yang Wang, Lin Wu*. Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering. Neural Networks, 103:1-8, 2018.

• Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li. TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction. IEEE International Conference on Data Mining (ICDM), Singapore 2018.

2017

• Lin Wu, Chunhua Shen*, Anton van den Hengel. Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification. Pattern Recognition, 65:238-250, 2017.

• Lin Wu*, Yang Wang, Shirui Pan. Exploiting Attribute Correlations: A Novel Trace Lasso based Weakly Supervised Dictionary Learning Method. IEEE Transactions on Cybernetics, 47(12):4497-4508, 2017.

• Yang Wang, Xuemin Lin, Lin Wu. Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval.  IEEE Transactions on Image Processing, 26(3):1393-1404, 2017.

• Lin Wu, Yang Wang. Robust Hashing for Multi-View Data: Jointly Learning Low-Rank  Kernelized Similarity Consensus and Hash Functions. Image and Vision Computing, 57: 58-66, 2017.

• Yang Wang, Lin Wu, Xuemin Lin, Xiang Zhao. Unsupervised Metric Fusion over Multi-view Data by Graph Random Walk based Cross-view Diffusion. IEEE Transactions on Neural Networks and Learning Systems, 28(1):57-70, 2017.

• Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen*, Anton van den Hengel. Structured learning of metric ensembles with application to person re-identification. Computer Vision and Image Understanding, 156:51-65, 2017.

• Lin Wu, Michele Haynes, Andrew Smith, Tong Chen, Xue Li. Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Its Applications to Early Detection on Social Disadvantage. International Conference on Advanced Data Mining and Applications, Singapore.