[1]. Yuanman Li, Zhiwei Zhao, Jiaxiong Ye, Yulong Zheng, Bin Li, Rongrong Ni, Wei Wang, and Xia Li,"Adaptive Container Characterization via Language Mapping for Video Integrity and Source Analysis,", IEEE Transactions on artificial intelligence (T-AI), in press, 2025.
[2]. F. Yan, Fangjun Yan, Xiaojian Ji, Li Dong, Weiwei Sun, Yuanman Li, “Universal and Quality-Preserving Watermark Removal Based on Unpaired Learning,”, IEEE Transactions on Dependable and Secure Computing (T-DSC), in press, 2025.
[3]. H. Wu, Y. Chen, J. Zhou and Y. M. Li, “Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering,” IEEE Transactions on Dependable and Secure Computing (T-DSC), vol. 22, no. 6, pp. 6296-6308, 2025.
[4]. R. Liang, Y. M. Li, Z. Wu and X. Li, "An Interaction-Scene Collaborative Representation Framework for Detecting Traffic Anomalies in Driving Videos,", IEEE Transactions on Intelligent Transportation Systems (T-ITS), in press, 2025.
[5]. Xinyi Su, Yuanman Li*, Yulong Zheng, and Xia Li, "Dual-Stream Image Sharing Chain Detection via Dynamic Information Compensation,", IEEE Signal Processing Letters, vol. 32, pp. 1311-1315, 2025.
[6]. Yuanman Li, Yinjie He, Changsheng Chen, Li Dong, Bin Li, Jiantao Zhou and Xia Li, “Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning,” IEEE Transactions on Image Processing (T-IP), vol. 34, pp. 425-440, 2025.
[7]. Yuanman Li, Liangpei Hu, Li Dong, Haiwei Wu, Jinyu Tian, Jiantao Zhou and Xia Li, “Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial Training”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), pp.1857-1872, 2024.
[8]. Rongqin Liang, Yuanman Li*, Ce Xie, Rongqin Liang, Jie Du, Jiantao Zhou and Xia Li, “STGlow: A Flow-Based Generative Framework With Dual-Graphormer For Pedestrian Trajectory Prediction”, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), pp.16504-16517, 2024.
[9]. Zhongyun Hua, Ziyi Wang, Yifeng Zheng, Yongyong Chen and Yuanman Li*, “Enabling Large-Capacity Reversible Data Hiding Over Encrypted JPEG Bitstreams”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 33, no. 3,pp.1003-1018, 2023.
[10]. Rongqin Liang, Yuanman Li*, Jiantao Zhou, and Xia Li, “Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), in press, 2024.
[11]. Yuanman Li, Lanhao Ye, Haokun Cao, Wei Wang, and Zhongyun Hua, “Cascaded Adaptive Graph Representation Learning for Image Copy-Move Forgery Detection”, ACM Transactions on Multimedia Computing Communications and Applications (TOMM), in press, 2024.
[12]. Yuanman Li, Jiaxiong Ye, Limin Zeng, Rongqin Liang, Xianwei Zheng, Weiwei Sun, and Na Wang, “Learning Hierarchical Fingerprints via Multi-Level Fusion for Video Integrity and Source Analysis”, IEEE Transactions on Consumer Electronics (TCE), pp.3414-3424, 2024.
[13]. Yuchao Su，Yuanman Li*, Wei Wang, Jiantao Zhou, and Xia Li, “A Unified Environmental Network for Pedestrian Trajectory Prediction”, AAAI Conference on Artificial Intelligence (AAAI), 2024，（CCF-A類會(huì)議）
[14]. Yuanman Li, Jiaxiang You, Jiantao Zhou, Wei Wang, Xin Liao and Xia Li, “Image Operation Chain Detection with Machine Translation Framework”, IEEE Transactions on Multimedia (T-MM), pp.6852-6867, 2023.
[15]. Yuxuan Tan, Yuanman Li*, Limin Zeng, Jiaxiong Ye, Wei Wang and Xia Li, “Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization”, ACM Multimedia (ACM MM), 2023. （CCF-A類會(huì)議）
[16]. Yuanman Li, J. T. Zhou, J. Y. Tian, X. W. Zheng and Y. Y .Tang, “Weighted Error Entropy based Information Theoretic Learning for Robust Subspace Representation”, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 33, no. 9, pp. 4228-4242, 2022.
[17]. R. Q. Liang, Yuanman Li *, X. Li, Y. Tang, J. T. Zhou and W. B. Zou, “Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision”, AAAI Conference on Artificial Intelligence (AAAI), 2021.（CCF-A類會(huì)議）
[18]. J. X. You, Yuanman Li*, J. T. Zhou, Z. Y. Hua, W. W. Sun and X. Li, “A Transformer based Approach for Image Manipulation Chain Detection”, ACM Multimedia (ACM MM), 2021. （CCF-A類會(huì)議）
[19]. Jie Du, Kai Guan, Yanhong Zhou, Yuanman Li* and Tianfu Wang, “Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation”, IEEE Transactions on Emerging Topics in Computational Intelligence (T-ETCI), pp.845-857, 2023.
[20]. Yuanman Li, Minhua Liu, Jinyu Tian, Jie Du, and Xia Li, “Operation History Estimation and Its Application to Multi-Degraded Image Restoration”, IEEE Transactions on Consumer Electronics (T-CE), pp.863-875, 2023.
[21]. Yuanman Li, Jiantao Zhou and Xia Li, “Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion”, IEEE Transactions on Computational Social Systems (T-CSS), vol.9, no.6, pp.1830-1841, 2022.
[22]. Yuanman Li, R. Q. Liang, W. Wei, W. Wang, J. T. Zhou and X. Li, “Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction”, IEEE Transactions on Network Science and Engineering (T-NSE), vol.9, no.3, pp.1006-1019, 2022.
[23]. Yuanman Li, Ce Xie, Rongqin Liang, Jie Du, Jiantao Zhou and Xia Li, “A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction”, IEEE Transactions on Network Science and Engineering (T-NSE), in press, 2023.
[24]. Jie Du, Kai Guan, Peng Liu,Yuanman Li* and Tianfu Wang, “Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation”, IEEE Journal of Biomedical and Health Informatics (JBHI), pp.992-1003, 2023.
[25]. Junyang Chen, Zhiguo Gong,Yuanman Li*, Huanjian Zhang, Hongyong Yu, JunzhangZhu, Ge Fan, Xiao-Ming Wu and Kaishun Wu, “Meta-Path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation”, IEEE Transactions on Network Science and Engineering (T-NSE), pp.1658-1667, 2022.
[26]. Y. C. Su, J. Du, Yuanman Li*, X. Li, Z. Y. Hua and J. T Zhou, “Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol.23, no.9, pp. 16773-16785, 2022.
[27]. Yuanman Li and J. T. Zhou, “Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching”, IEEE Transactions on Information Forensics and Security (T-IFS), vol. 14, no. 5, pp. 1307-1322, 2019.
[28]. Yuanman Li, J. T. Zhou, and A. Cheng, “SIFT Keypoint Removal via Directed Graph Construction for Color Images”, IEEE Transactions on Information Forensics and Security (T-IFS), vol. 12, no. 12, pp. 2971-2985, 2017.
[29]. Yuanman Li, J. T. Zhou, A. Cheng, X. M. Liu, and Y. Y. Tang, “SIFT Keypoint Removal and Injection via Convex Relaxation”, IEEE Transactions on Information Forensics and Security (T-IFS), vol. 11, no. 8, pp. 1722-1735, 2016.
[30]. Yuanman Li, J. T. Zhou, X. W. Zheng, J. Y. Tian and Y. Y. Tang, “Robust Subspace Clustering with Independent and Piecewise Identically Distributed (i.p.i.d.) Noise Modeling”, IEEE Conf. Comput. Vis. and Pattern Recogn. (CVPR), 2019（CCF-A類會(huì)議）(oral, top 5% paper).
