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Nannan Wang
About Me
Nannan Wang
Nannan Wang is a Distinguished Professor at Xidian University and the Deputy Director of the National Key Laboratory of Space-Ground Integrated Information Technology. His major research interests focus on computer vision and machine learning, particularly in heterogeneous image synthesis and recognition, credible artificial intelligence, and embodied intelligence. He has published more than 200 papers on top-tier journals and conferences such as IEEE TPAMI, IJCV, IEEE TIP, NeurIPS, CVPR, ICCV, etc.
He has authorized over 40 patents with 7 technology transfers, led the formulation of 2 industry standards, and participated in 4 international/national standards. He received the First Class Prize for Natural Science from CSIG (R1), the First Class Prize for Natural Science from MoE (R2), and the Shaanxi Provincial Science and Technology First Prize (R5). He currently serves as the Co-Editor-in-Chief of The Visual Computer, Associate Editor of IEEE TIP and TMLR, and (Senior) Area Chair of ICML, NeurIPS, and ICLR. He obtained his Ph.D. degree from Xidian University under the supervision of Prof. Xinbo Gao, and visited the University of Technology, Sydney from Sep. 2011 to Sep. 2013 under the supervision of Prof. Dacheng Tao.
180
Journal/Conference
Publications
Selected Publications
Selected publications in CCF-A conferences and top journals (IEEE Transactions, IJCV) over the last three years (2024–2026). See the full list on DBLP.
2026
- De Cheng, Haichun Tai, Nannan Wang, Xiangqian Zhao, Jie Li, Xinbo Gao: A Multi-Granularity Scene-Aware Graph Convolution Method for Weakly Supervised Person Search. IJCV, 2026.
- Huaijie Wang, De Cheng, Lingfeng He, Yan Li, Jie Li, Nannan Wang, Xinbo Gao: EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning. IJCV, 2026.
- Decheng Liu, Xu Luo, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao: Symmetrical bidirectional knowledge alignment for zero-shot sketch-based image retrieval. NN, 2026.
- Mingrui Zhu, Fangzhou Wang, Xin Wei, Nannan Wang, Xinbo Gao: AdaAlign: A unified solution for traditional and modern zero-shot sketch-based image retrieval. NN, 2026.
- Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao: An Enhanced Adaptive Confidence Margin for Semi-Supervised Facial Expression Recognition. TPAMI, 2026.
- Shizhou Zhang, Yue Lu, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang: VPT-NSP2++: Importance-Aware Visual Prompt Tuning in Null Space for Continual Learning. TPAMI, 2026.
- De Cheng, Yubo Li, Chaowei Fang, Shizhou Zhang, Nannan Wang, Xinbo Gao: Isolating Interference Factors for Robust Cloth-Changing Person Re-Identification. TPAMI, 2026.
- De Cheng, Zhipeng Xu, Xinyang Jiang, Dongsheng Li, Nannan Wang, Xinbo Gao: Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization. TPAMI, 2026.
- Ruiyang Xia, Dawei Zhou, Lin Yuan, Jie Li, Nannan Wang, Xinbo Gao: SSD: Making Face Forgery Clues Evident Again With Self-Steganographic Detection. TPAMI, 2026.
- Chaojian Yu, Dawei Zhou, Li Shen, Jun Yu, Bo Han, Mingming Gong, Nannan Wang, Tongliang Liu: Strength-Adaptive Adversarial Training. TPAMI, 2026.
- Xi Yang, Wenjiao Dong, Yingzhi Tang, Gu Zheng, Nannan Wang, Xinbo Gao: Condense loss: Exploiting vector magnitude during person Re-identification training process. PR, 2026.
- Decheng Liu, Weijie He, Chunlei Peng, Nannan Wang, Jie Li, Xinbo Gao: TransFA: Transformer-based representation for face attribute evaluation. PR, 2026.
- Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao: FST: Improving adversarial robustness via feature similarity-based targeted adversarial training. PR, 2026.
- Ruiying Lu, Shuang Wan, Zimin Miao, Nannan Wang, Chunlei Peng: IDCFace: Identity Consistent Face anonymization for secure recognition. PR, 2026.
- Mingrui Zhu, Jianhang Chen, Xin Wei, Nannan Wang, Xinbo Gao: Fine-Detailed Facial Sketch-to-Photo Synthesis With Detail-Enhanced Codebook Priors. TCSVT, 2026.
- Xi Yang, Haoyuan Shi, Zihan Wang, Nannan Wang, Xinbo Gao: CSHNet: A Novel Information Asymmetric Image Translation Method. TCSVT, 2026.
- Zhongqing Yu, Xin Liu, Yiu-Ming Cheung, Lei Zhu, Xing Xu, Nannan Wang: FPAD: Fuzzy-Prototype-Guided Adversarial Attack and Defense for Deep Cross-Modal Hashing. TCSVT, 2026.
- Chunlei Peng, Huiqing Guo, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao: DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection. TCSVT, 2026.
- Xi Yang, Wenjiao Dong, Gu Zheng, Nannan Wang: Nearest Neighbor Sample Constraint and ODE Guided Feature Reconstruction for Unsupervised Person Re-Identification. TCSVT, 2026.
- Xi Yang, Hexun Zhou, De Cheng, Menghui Tian, Nannan Wang: Semantic-Interactive Clustering Optimization With SAM for Weakly Supervised Person Search. TCSVT, 2026.
- Xi Yang, Kun Chen, Chenghuan Qi, Nannan Wang: Probabilistic Distribution Alignment for Text-Based Person Retrieval. TCSVT, 2026.
- Jiuyao Jing, Feiyang Sun, Chunlei Peng, Decheng Liu, Nannan Wang, Xinbo Gao: Adaptive Consensus Multi-Teacher Distillation for Generalizable Face Forgery Detection. TCSVT, 2026.
- Keyi Chen, Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao: IMEVSI: Online Adaptive Video Stream Interpolation via Inertia-Aware Motion Estimation. TCSVT, 2026.
- Xi Yang, Haoyuan Shi, Fei Gao, Nannan Wang: AdaNoise: Cycle-Consistent Image Translation With Domain-Adaptive Noise Perturbation. TCSVT, 2026.
- Wenjiao Dong, Xi Yang, Nannan Wang: Sparse VMamba: Robust Spatio-Temporal Information Modeling for Event Camera Person Re-Identification. TIFS, 2026.
- Yinyin Chen, Huiqing Guo, Chunlei Peng, Nannan Wang, Xinbo Gao: Component-Specific Prompt Tuning for Deepfake Detection. TIFS, 2026.
- Xi Yang, Kun Chen, Nannan Wang: ALIGNER: Learning Fine-Grained Cross-Modal Alignment for Text-Based Person Retrieval. TIFS, 2026.
- Keyi Chen, Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao: Video Frame Interpolation via Appearance-Based Intermediate Flow Estimation. TIP, 2026.
- Xi Yang, Hexun Zhou, De Cheng, Nannan Wang: Overcoming Dual Incremental Challenges in Continual Person Search via Adapter and Prototype. TIP, 2026.
- Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Jie Hu, Nannan Wang, Xinbo Gao: One Step Diffusion-Based Super-Resolution With Time-Aware Distillation. TIP, 2026.
- Xi Yang, Hui Zhang, Sheng Zhang, Nannan Wang: Prompt-Driven Knowledge Distillation for Remote Sensing Object Detection. TIP, 2026.
- Xi Yang, Xinyue Zhong, Nannan Wang: Distribution-Aware Prompt Learning for Vision-Language Models With Dynamic Boundary Prototype. TIP, 2026.
- Xi Yang, Quantao Xie, Yirong Yang, Nannan Wang: Active Style-Content Dual-Branch Domain Adaptation for Semi-Supervised SAR Object Detection. TIP, 2026.
- Kun Chen, Xi Yang, Nannan Wang: Toward Semantically Enhanced Representation Learning for Text-Based Person Retrieval. TIP, 2026.
- Bohan Li, Xi Yang, Songsong Duan, Nannan Wang: Toward Universal Semantic Communication via Matchable Semantic Subspace Transmission. TIP, 2026.
- Jingwei Xin, Boneng Shi, Zhen Li, Jun Hao, Xuehao Song, Nannan Wang, Jie Li, Xinbo Gao: Interpretable General Image Fusion via Scalable Autoregressive Modeling. TIP, 2026.
- Haonan Shi, Yubin Wang, De Cheng, Lingfeng He, Nannan Wang, Xinbo Gao: Hierarchical Identity Learning for Unsupervised Visible-Infrared Person Re-Identification. TIP, 2026.
- Junlong Mu, Lin Zhao, Di Wang, Chen Gong, Nannan Wang: Generating Imperceptible Perturbations to Attack Human Pose Estimation Networks. TMM, 2026.
- Xiao He, Zhijun Tu, Kun Cheng, Mingrui Zhu, Jie Hu, Nannan Wang, Xinbo Gao: Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution. AAAI, 2026.
- Jingwei Xin, Kai Guo, Jie Li, Nannan Wang: Revealing the Invisible: Latent Structure Modeling for Semantically Consistent Cloud Removal. AAAI, 2026.
- Lingfeng He, De Cheng, Di Xu, Huaijie Wang, Nannan Wang: Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning. AAAI, 2026.
2025
- Lingfeng He, De Cheng, Nannan Wang, Xinbo Gao: Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person ReID. IJCV, 2025.
- Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu, Xinbo Gao: Defending Against Adversarial Examples Via Modeling Adversarial Noise. IJCV, 2025.
- De Cheng, Lingfeng He, Nannan Wang, Dingwen Zhang, Xinbo Gao: Semantic-Aligned Learning with Collaborative Refinement for Unsupervised VI-ReID. IJCV, 2025.
- Chunlei Peng, Tao Chen, Decheng Liu, Huiqing Guo, Nannan Wang, Xinbo Gao: Revisiting face forgery detection towards generalization. NN, 2025.
- Chunlei Peng, Yinyin Chen, Decheng Liu, Nannan Wang, Xinbo Gao: FairForensics: mitigating attribute bias in deepfake detection by integrating texture and attribute features. NN, 2025.
- Dawei Zhou, Nannan Wang, Tongliang Liu, Xinbo Gao: Improving Adversarial Training From the Perspective of Class-Flipping Distribution. TPAMI, 2025.
- Xiong Peng, Feng Liu, Nannan Wang, Long Lan, Tongliang Liu, Yiu-Ming Cheung, Bo Han: Unknown-Aware Bilateral Dependency Optimization for Defending Against Model Inversion Attacks. TPAMI, 2025.
- Liangchen Liu, Nannan Wang, Chen Chen, Decheng Liu, Xi Yang, Xinbo Gao, Tongliang Liu: Frequency-Based Comprehensive Prompt Learning for Vision-Language Models. TPAMI, 2025.
- Xueting Chen, Yan Yan, Jing-Hao Xue, Nannan Wang, Hanzi Wang: Consistency-driven feature scoring and regularization network for visible-infrared person re-identification. PR, 2025.
- Xi Yang, Xingyilang Yin, Nannan Wang, Xinbo Gao: Associative graph convolution network for point cloud analysis. PR, 2025.
- Xi Yang, Huanling Liu, Nannan Wang, Xinbo Gao: Bidirectional modality information interaction for Visible-Infrared Person Re-identification. PR, 2025.
- Lin Yuan, Kai Liang, Xiong Li, Tao Wu, Nannan Wang, Xinbo Gao: iFADIT: Invertible Face Anonymization via Disentangled Identity Transform. PR, 2025.
- Decheng Liu, Rong Sheng, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao: Devil in Shadow: Attacking NIR-VIS Heterogeneous Face Recognition via Adversarial Shadow. TCSVT, 2025.
- Dechen Kong, Xi Yang, Nannan Wang, Xinbo Gao: Perspectives of Calibrated Adaptation for Few-Shot Cross-Domain Classification. TCSVT, 2025.
- Ruoyu Zhao, Mingrui Zhu, Shiyin Dong, De Cheng, Nannan Wang, Xinbo Gao: CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization. TCSVT, 2025.
- Yihan Xu, Hangyu Li, Mingrui Zhu, Nannan Wang, Xinbo Gao: Boosting Semi-Supervised Facial Attribute Recognition With Dynamic Threshold Pairs. TCSVT, 2025.
- De Cheng, Yusong Hu, Nannan Wang, Dingwen Zhang, Xinbo Gao: Achieving Plasticity-Stability Trade-Off in Continual Learning Through Adaptive Orthogonal Projection. TCSVT, 2025.
- De Cheng, Lei Wei, Chaowei Fang, Lingfeng He, Nannan Wang, Xinbo Gao: Progressive Feature-Attribute Matching via Bi-Directional Generation for Transductive Zero-Shot Learning. TCSVT, 2025.
- Shuai Han, Jingwei Xin, Jie Li, Nannan Wang, Xinbo Gao: Unsupervised Face Super-Resolution via Integrating Faithful 3D Facial Priors. TCSVT, 2025.
- Dawei Zhou, Zhigang Su, Decheng Liu, Tongliang Liu, Nannan Wang, Xinbo Gao: A Knowledge-Guided Adversarial Defense for Resisting Malicious Visual Manipulation. TDSC, 2025.
- Decheng Liu, Tao Chen, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao: Attention Consistency Refined Masked Frequency Forgery Representation for Generalizing Face Forgery Detection. TIFS, 2025.
- Chunlei Peng, Xiaoyi Luo, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao: Semantic Token Transformer for Face Forgery Detection. TIFS, 2025.
- Decheng Liu, Tao Chen, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao: Improving Adversarial Robustness via Decoupled Visual Representation Masking. TIFS, 2025.
- Chenghuan Qi, Xi Yang, Nannan Wang, Xinbo Gao: Granularity-Aware Hyperbolic Representation for Text-Based Person Search. TIFS, 2025.
- Chunlei Peng, Tian Xu, Decheng Liu, Nannan Wang, Xinbo Gao: Within 3DMM Space: Exploring Inherent 3D Artifact for Video Forgery Detection. TIFS, 2025.
- Chengrui Hao, Boyu Wang, Chunlei Peng, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao: Masked Text Adversarial Training for Cloth-Changing Person Re-Identification. TIFS, 2025.
- Decheng Liu, Zhou Zhou, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao: Toward Fair Adversarial Defense via Class Encourage-Suppress Robust Learning. TIFS, 2025.
- Mingrui Zhu, Dongxin Chen, Xin Wei, Nannan Wang, Xinbo Gao: Disentangle Before Anonymize: A Two-Stage Framework for Attribute-Preserved and Occlusion-Robust De-Identification. TIFS, 2025.
- Xi Yang, Penghui Li, Qiubai Zhou, Nannan Wang, Xinbo Gao: Dense Information Learning Based Semi-Supervised Object Detection. TIP, 2025.
- Xi Yang, Dechen Kong, Nannan Wang, Xinbo Gao: Hyperbolic Insights With Knowledge Distillation for Cross-Domain Few-Shot Learning. TIP, 2025.
- Xi Yang, Wenjiao Dong, Gu Zheng, Nannan Wang, Xinbo Gao: IDENet: An Inter-Domain Equilibrium Network for Unsupervised Cross-Domain Person Re-Identification. TIP, 2025.
- Songsong Duan, Xi Yang, Nannan Wang, Xinbo Gao: Lightweight RGB-D Salient Object Detection From a Speed-Accuracy Tradeoff Perspective. TIP, 2025.
- Decheng Liu, Weizhao Yang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao: PrivacyHFR: Visual Privacy Preserving for Heterogeneous Face Recognition. TIP, 2025.
- Quanxing Zha, Xin Liu, Yiu-Ming Cheung, Shu-Juan Peng, Xing Xu, Nannan Wang: UCPM: Uncertainty-Guided Cross-Modal Retrieval With Partially Mismatched Pairs. TIP, 2025.
- Wenjiao Dong, Xi Yang, De Cheng, Nannan Wang, Xinbo Gao: Escaping Modal Interactions: An Efficient DESANet for Multi-Modal Object Re-Identification. TIP, 2025.
- Jingwei Xin, Boneng Shi, Nannan Wang, Jie Li, Xinbo Gao: MVFusion: Generative Representation Learning With Masked Variational Autoencoders for Multi-Modality Image Fusion. TIP, 2025.
- Xi Yang, Haoyuan Shi, Ziyun Li, Maoying Qiao, Fei Gao, Nannan Wang: S3OIL: Semi-Supervised SAR-to-Optical Image Translation via Multi-Scale and Cross-Set Matching. TIP, 2025.
- Chunlei Peng, Zhuang Tang, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao: SketchAging: Face Photo-Sketch Synthesis and Aging With Multi-Scale Feature Extraction. TIP, 2025.
- Xi Yang, Xinyue Zhong, Dechen Kong, Nannan Wang: Toward Generalizable Prompt Learning via Multi-Regularization Guided Knowledge Distillation. TIP, 2025.
- Xi Yang, Penghui Li, Qiubai Zhou, Nannan Wang, Xinbo Gao: Uncertainty Quantification for Semi-Supervised Object Detection in Remote Sensing Images. TIP, 2025.
- Xi Yang, Wenjiao Dong, Xian Wang, De Cheng, Nannan Wang: FA-Net: A Feature Alignment Network for Video-Based Visible-Infrared Person Re-Identification. TIP, 2025.
- Chunlei Peng, Tianzhe Yan, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao: Face Forgery Detection With CLIP-Enhanced Multi-Encoder Distillation. TIP, 2025.
- Kefan Tang, Lihuo He, Nannan Wang, Xinbo Gao: Dual Semantic Reconstruction Network for Weakly Supervised Temporal Sentence Grounding. TMM, 2025.
- Liangchen Liu, Nannan Wang, Dawei Zhou, Decheng Liu, Xi Yang, Xinbo Gao, Tongliang Liu: Generalizable Prompt Learning via Gradient Constrained Sharpness-Aware Minimization. TMM, 2025.
- Chunlei Peng, Boyu Wang, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao: Masked Attribute Description Embedding for Cloth-Changing Person Re-Identification. TMM, 2025.
- Guozhang Li, Xinpeng Ding, De Cheng, Jie Li, Nannan Wang, Xinbo Gao: ETC: Temporal Boundary Expand Then Clarify for Weakly Supervised Video Grounding With Multimodal Large Language Model. TMM, 2025.
- Ziyou Ren, Guozhang Li, Nan Cheng, Anqi Wu, Nannan Wang, Xinbo Gao: Cluster Assumption-Guided Timestamp-Supervised Temporal Action Segmentation. TMM, 2025.
- Xiaoyan Sun, De Cheng, Yan Li, Nannan Wang, Dingwen Zhang, Xinbo Gao, Jiande Sun: Progressive Prompt-Driven Low-Light Image Enhancement With Frequency Aware Learning. TMM, 2025.
- Hangyu Li, Yihan Xu, Jiangchao Yao, Nannan Wang, Xinbo Gao, Bo Han: Knowledge-Enhanced Facial Expression Recognition With Emotional-to-Neutral Transformation. TMM, 2025.
- Chaohua Shi, Xuan Wang, Si Shi, Xule Wang, Mingrui Zhu, Nannan Wang, Xinbo Gao: Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models. TMM, 2025.
- Runqing Jiang, Yan Yan, Jing-Hao Xue, Si Chen, Nannan Wang, Hanzi Wang: Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery. TNNLS, 2025.
- Ruoyu Zhao, Mingrui Zhu, Nannan Wang, Xinbo Gao: Few-Shot Face Stylization via GAN Prior Distillation. TNNLS, 2025.
- Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xiaoyu Wang, Xinbo Gao: Rectified Binary Network for Single-Image Super-Resolution. TNNLS, 2025.
- Xi Yang, Wenjiao Dong, De Cheng, Nannan Wang, Xinbo Gao: TIENet: A Tri-Interaction Enhancement Network for Multimodal Person Reidentification. TNNLS, 2025.
- Chaohua Shi, Mingrui Zhu, Nannan Wang, Xinbo Gao: PStyle-3D: Example-Based 3-D-Aware Portrait Style Domain Adaptation. TNNLS, 2025.
- Liting Sun, Jingwei Xin, Keyu Li, Jie Li, Nannan Wang, Xinbo Gao: I²NQ: Inter and Intra Nonuniform Quantization for Single Image Super-Resolution. TNNLS, 2025.
- Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu: Effective Diffusion Transformer Architecture for Image Super-Resolution. AAAI, 2025.
- Decheng Liu, Zongqi Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao: Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations. AAAI, 2025.
- Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xinbo Gao: Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model. AAAI, 2025.
- Nuoyan Zhou, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement. AAAI, 2025.
- Haiyang Zhu, Xi Yang, Nannan Wang: Optimizing Label Assignment for Weakly Supervised Person Search. AAAI, 2025.
- Fei Gao, Ying Zhou, Ziyun Li, Wenwang Han, Jiaqi Shi, Maoying Qiao, Jinlan Xu, Nannan Wang: QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception. AAAI, 2025.
- Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu: Asymmetric Reinforcing Against Multi-Modal Representation Bias. AAAI, 2025.
- Yue Lu, Shizhou Zhang, De Cheng, Guoqiang Liang, Yinghui Xing, Nannan Wang, Yanning Zhang: Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning. AAAI, 2025.
- Yalong Xu, Lin Zhao, Chen Gong, Guangyu Li, Di Wang, Nannan Wang: DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework. CVPR, 2025.
- Zhipeng Xu, De Cheng, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao: Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization. CVPR, 2025.
- Quanxing Zha, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Xing Xu, Nannan Wang: ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning. CVPR, 2025.
- Songsong Duan, Xi Yang, Nannan Wang: Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation. CVPR, 2025.
- Jiachen Sun, De Cheng, Xi Yang, Nannan Wang: Dual Domain Control via Active Learning for Remote Sensing Domain Incremental Object Detection. ICCV, 2025.
- Lanning Zhang, Ying Zhou, Fei Gao, Ziyun Li, Maoying Qiao, Jinlan Xu, Nannan Wang: Q-Norm: Robust Representation Learning via Quality-Adaptive Normalization. ICCV, 2025.
- Songsong Duan, Xi Yang, Nannan Wang: 풟ℐℋ-CLIP: Unleashing the Diversity of Multi-Head Self-Attention for Training-Free Open-Vocabulary Semantic Segmentation. ICCV, 2025.
- Liangchen Liu, Nannan Wang, Xi Yang, Xinbo Gao, Tongliang Liu: Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models. ICML, 2025.
- Kun Cheng, Xiao He, Lei Yu, Zhijun Tu, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu: Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts. ICML, 2025.
- Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang: Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness. ICML, 2025.
- Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han: Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition. IJCAI, 2025.
- Yongjie Hu, Yifan Jiang, Ziyun Li, Fei Gao, Henrik Boström, Nannan Wang: CADQ: Attribute-Consistent Face Cartoonization with Cross-modal Aligned and Deformable Quantization. ACM MM, 2025.
2024
- Qinlin He, Chunlei Peng, Decheng Liu, Nannan Wang, Xinbo Gao: GazeForensics: DeepFake detection via gaze-guided spatial inconsistency learning. NN, 2024.
- Chunlei Peng, Feiyang Sun, Decheng Liu, Nannan Wang, Xinbo Gao: Local artifacts amplification for deepfakes augmentation. NN, 2024.
- Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao: Unconstrained Facial Expression Recognition With No-Reference De-Elements Learning. TAFFC, 2024.
- Youjiang Yu, Kaibing Zhang, Xiaohua Wang, Nannan Wang, Xinbo Gao: An Adaptive Region Proposal Network With Progressive Attention Propagation for Tiny Person Detection From UAV Images. TCSVT, 2024.
- Lin Yuan, Kai Liang, Xiao Pu, Yan Zhang, Jiaxu Leng, Tao Wu, Nannan Wang, Xinbo Gao: Invertible Image Obfuscation for Facial Privacy Protection via Secure Flow. TCSVT, 2024.
- Xiao He, Mingrui Zhu, Nannan Wang, Xinbo Gao: Few-Shot Font Generation by Learning Style Difference and Similarity. TCSVT, 2024.
- Chunlei Peng, Bo Wang, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao: MRLReID: Unconstrained Cross-Resolution Person Re-Identification With Multi-Task Resolution Learning. TCSVT, 2024.
- De Cheng, Yuxin Zhao, Nannan Wang, Guozhang Li, Dingwen Zhang, Xinbo Gao: Efficient Statistical Sampling Adaptation for Exemplar-Free Class Incremental Learning. TCSVT, 2024.
- Xi Yang, Menghui Tian, Nannan Wang, Xinbo Gao: Unleashing the Feature Hierarchy Potential: An Efficient Tri-Hybrid Person Search Model. TCSVT, 2024.
- Xiao He, Mingrui Zhu, Dongxin Chen, Nannan Wang, Xinbo Gao: Diff-Privacy: Diffusion-Based Face Privacy Protection. TCSVT, 2024.
- Xin Liu, Yi He, Yiu-Ming Cheung, Xing Xu, Nannan Wang: Learning Relationship-Enhanced Semantic Graph for Fine-Grained Image-Text Matching. TCYB, 2024.
- Decheng Liu, Xinbo Gao, Chunlei Peng, Nannan Wang, Jie Li: Universal Heterogeneous Face Analysis via Multi-Domain Feature Disentanglement. TIFS, 2024.
- Jingwei Xin, Zikai Wei, Nannan Wang, Jie Li, Xinbo Gao: Large Pose Face Recognition via Facial Representation Learning. TIFS, 2024.
- Ziyu Wei, Xi Yang, Nannan Wang, Xinbo Gao: Dual-Adversarial Representation Disentanglement for Visible Infrared Person Re-Identification. TIFS, 2024.
- Yulong Yang, Chenhao Lin, Qian Li, Zhengyu Zhao, Haoran Fan, Dawei Zhou, Nannan Wang, Tongliang Liu, Chao Shen: Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization. TIFS, 2024.
- Ruiyang Xia, Decheng Liu, Jie Li, Lin Yuan, Nannan Wang, Xinbo Gao: MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection. TIFS, 2024.
- Chunlei Peng, Zimin Miao, Decheng Liu, Nannan Wang, Ruimin Hu, Xinbo Gao: Where Deepfakes Gaze at? Spatial-Temporal Gaze Inconsistency Analysis for Video Face Forgery Detection. TIFS, 2024.
- De Cheng, Haichun Tai, Nannan Wang, Chaowei Fang, Xinbo Gao: Neighbor Consistency and Global-Local Interaction: A Novel Pseudo-Label Refinement Approach for Unsupervised Person Re-Identification. TIFS, 2024.
- Guozhang Li, De Cheng, Nannan Wang, Jie Li, Xinbo Gao: Neighbor-Guided Pseudo-Label Generation and Refinement for Single-Frame Supervised Temporal Action Localization. TIP, 2024.
- Ziyu Wei, Xi Yang, Nannan Wang, Xinbo Gao: Semi-Supervised Learning With Heterogeneous Distribution Consistency for Visible Infrared Person Re-Identification. TIP, 2024.
- Ruiyang Xia, Dawei Zhou, Decheng Liu, Jie Li, Lin Yuan, Nannan Wang, Xinbo Gao: Inspector for Face Forgery Detection: Defending Against Adversarial Attacks From Coarse to Fine. TIP, 2024.
- Xi Yang, Huanling Liu, Nannan Wang, Xinbo Gao: Image-Level Adaptive Adversarial Ranking for Person Re-Identification. TIP, 2024.
- Xi Yang, Dechen Kong, Ren Lin, Nannan Wang, Xinbo Gao: Adapting Few-Shot Classification via In-Process Defense. TIP, 2024.
- Decheng Liu, Zeyang Zheng, Chunlei Peng, Yukai Wang, Nannan Wang, Xinbo Gao: Hierarchical Forgery Classifier on Multi-Modality Face Forgery Clues. TMM, 2024.
- Chunlei Peng, Zimo Kong, Decheng Liu, Nannan Wang, Xinbo Gao: Disguised Heterogeneous Face Generation With Iterative-Adversarial Style Unification. TMM, 2024.
- Xi Yang, Menghui Tian, Meijie Li, Ziyu Wei, Liu Yuan, Nannan Wang, Xinbo Gao: SSRR: Structural Semantic Representation Reconstruction for Visible-Infrared Person Re-Identification. TMM, 2024.
- Xi Yang, Xian Wang, Liangchen Liu, Nannan Wang, Xinbo Gao: STFE: A Comprehensive Video-Based Person Re-Identification Network Based on Spatio-Temporal Feature Enhancement. TMM, 2024.
- Xi Yang, Wenjiao Dong, Meijie Li, Ziyu Wei, Nannan Wang, Xinbo Gao: Cooperative Separation of Modality Shared-Specific Features for Visible-Infrared Person Re-Identification. TMM, 2024.
- De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang: Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure. TMM, 2024.
- De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Jiande Sun, Xinbo Gao: Progressive Negative Enhancing Contrastive Learning for Image Dehazing and Beyond. TMM, 2024.
- Liangchen Liu, Nannan Wang, Decheng Liu, Xi Yang, Xinbo Gao, Tongliang Liu: Towards Specific Domain Prompt Learning via Improved Text Label Optimization. TMM, 2024.
- Xi Yang, Qiubai Zhou, Ziyu Wei, Hong Liu, Nannan Wang, Xinbo Gao: Elaborate Teacher: Improved Semi-Supervised Object Detection With Rich Image Exploiting. TMM, 2024.
- Xinrui Jiang, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang, Jie Li, Xinbo Gao: Toward Pixel-Level Precision for Binary Super-Resolution With Mixed Binary Representation. TNNLS, 2024.
- Keyu Li, Nannan Wang, Jingwei Xin, Xinrui Jiang, Jie Li, Xinbo Gao, Kai Han, Yunhe Wang: Local Means Binary Networks for Image Super-Resolution. TNNLS, 2024.
- Changcheng Liang, Mingrui Zhu, Nannan Wang, Heng Yang, Xinbo Gao: PMSGAN: Parallel Multistage GANs for Face Image Translation. TNNLS, 2024.
- Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Jie Li, Xinbo Gao: Weakly Supervised Temporal Action Localization With Bidirectional Semantic Consistency Constraint. TNNLS, 2024.
- Xi Yang, Xiaoqi Wang, Nannan Wang, Xinbo Gao: Address the Unseen Relationships: Attribute Correlations in Text Attribute Person Search. TNNLS, 2024.
- Zhen Wang, Yang Zhang, Yan Pang, Nannan Wang, Mohamed Jaward Bah, Ke Li, Ji Zhang: Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation. TNNLS, 2024.
- Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang: SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation. AAAI, 2024.
- Yan Gao, Haojun Xu, Jie Li, Nannan Wang, Xinbo Gao: Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking. AAAI, 2024.
- Decheng Liu, Xijun Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao: Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model. AAAI, 2024.
- Xingyilang Yin, Xi Yang, Liangchen Liu, Nannan Wang, Xinbo Gao: Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis. AAAI, 2024.
- Yu Chen, Fei Gao, Yanguang Zhang, Maoying Qiao, Nannan Wang: Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline. CVPR, 2024.
- De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao: Disentangled Prompt Representation for Domain Generalization. CVPR, 2024.
- Chaohua Shi, Kexin Huang, Lu Gan, Hongqing Liu, Mingrui Zhu, Nannan Wang, Xinbo Gao: On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection. ICLR, 2024.
- Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han: Robust Training of Federated Models with Extremely Label Deficiency. ICLR, 2024.
- Yusong Hu, De Cheng, Dingwen Zhang, Nannan Wang, Tongliang Liu, Xinbo Gao: Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning. ICML, 2024.
- Fei Gao, Lingna Dai, Jingjie Zhu, Mei Du, Yiyuan Zhang, Maoying Qiao, Chenghao Xia, Nannan Wang, Peng Li: Human-Robot Interactive Creation of Artistic Portrait Drawings. ICRA, 2024.
- Shiyin Dong, Mingrui Zhu, Kun Cheng, Nannan Wang, Xinbo Gao: Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors. IJCAI, 2024.
- Haichun Tai, De Cheng, Jie Li, Nannan Wang, Xinbo Gao: Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search. IJCAI, 2024.
- Yubo Li, De Cheng, Chaowei Fang, Changzhe Jiao, Nannan Wang, Xinbo Gao: Disentangling Identity Features from Interference Factors for Cloth-Changing Person Re-identification. ACM MM, 2024.
- Ruiyang Xia, Dawei Zhou, Decheng Liu, Lin Yuan, Shuodi Wang, Jie Li, Nannan Wang, Xinbo Gao: Advancing Generalized Deepfake Detector with Forgery Perception Guidance. ACM MM, 2024.
- Fei Gao, Yuhao Lin, Jiaqi Shi, Maoying Qiao, Nannan Wang: AesMamba: Universal Image Aesthetic Assessment with State Space Models. ACM MM, 2024.
- Xi Yang, Huanling Liu, De Cheng, Nannan Wang, Xinbo Gao: Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification. NeurIPS, 2024.
- Yue Lu, Shizhou Zhang, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang: Visual Prompt Tuning in Null Space for Continual Learning. NeurIPS, 2024.
- Ying Yang, De Cheng, Chaowei Fang, Yubiao Wang, Changzhe Jiao, Lechao Cheng, Nannan Wang, Xinbo Gao: Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection. NeurIPS, 2024.