Research

Research

Research Projects

Embodied Intelligence

Embodied Intelligence

Research on embodied perception, reasoning, and interaction for intelligent agents operating in physical and simulated environments.

  • Video understanding for embodied decision-making
  • Multimodal large language models for autonomous driving
  • Human-robot interaction and collaboration
  • Vision-language-action models for robotic manipulation
Multimodal Learning / Computer Vison

Visual Understanding

Research on image and video understanding, multimodal perception, and trustworthy visual analysis.

  • Image and video understanding and recognition
  • Multimodal large language models and vision-language learning
  • Pedestrian re-identification in social security
  • Explainable and trustworthy visual analysis (XAI)
AIGC

Artificial Intelligence Generated Content (AIGC)

Research on generative models for visual content creation, translation, and quality assessment.

  • Multi-modal driven video generation and editing
  • Generative adversarial networks, diffusion models, and cross-modal learning
  • Face photo-sketch synthesis and artistic style transfer
  • Generated visual quality assessment (GIQA)
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 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.
  • 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.
  • 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 2025

  • Xinpeng Ding, et al.: HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving. IJCV, 2025.
  • Runhui Huang, Xinpeng Ding, et al.: Hires-llava: Restoring fragmentation input in high-resolution large vision-language models. CVPR, 2025.
  • Yi Li, Hualiang Wang, Xinpeng Ding, et al.: Token Activation Map to Visually Explain Multimodal LLMs. ICCV, 2025 (Oral).
  • Mingjin Zhang, et al.: MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection. AAAI, 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.
  • 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.
  • 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 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.
  • Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu: Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. JBHI, 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.
  • 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.
  • Quanxing Zha, Xin Liu, Yiu-ming Cheung, Xing Xu, Nannan Wang, Jianjia Cao: UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching. SIGIR, 2024.

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