期刊论文成果 (2021-2024)

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• Consistent Prompt Tuning for Generalized Category Discovery

M. Yang, J. Yin, Y. Gu, C. Deng, H. Zhang, and H. Zhu.

Int. J. Comput. Vis., 2024.(IF22=19.5)

• Rethinking Noise Sampling in Class-Imbalanced Diffusion Models 

C. Xu, J. Yan, M. Yang, and C. Deng.

IEEE Trans. Image Process., 2024.(IF21=11.041)

• Heterogeneous Vertical Federated Learning Using Black-Box Solvers

Q. Zhang, B. Gu, F. He, C. Deng, and H. Huang.

IEEE Trans. Neural Netw. Learn. Syst., 2024.(IF22=14.255)

• CrossFormer: Cross-modal Representation Learning via Heterogeneous Graph Transformer 

X. Liang, E. Yang, C. Deng, and Y. Yang.

ACM Trans. Multimed. Comput. Commun. Appl., 2024.(IF22=5.2)

• Memory-Enhanced Confidence Calibration for Class-Incremental Unsupervised Domain Adaptation

J. Yu, M. Yang, A. Wu, and C. Deng.

IEEE Trans. Multimed., 2024.(IF22=8.182)

• Prototype-Decomposed Knowledge Distillation for Learning Generalized Federated Representation

A. Wu, J. Yu, Y. Wang, and C. Deng.

IEEE Trans. Multimed., 2024.(IF22=8.182)

• Unsupervised Graph Transformer with Augmentation-Free Contrastive Learning

H. Zhao, X. Yang, K. Wei, C. Deng, and D. Tao.

IEEE Trans. Knowl. Data Eng., 2024.(IF22=8.9)

• Multi-Relational Deep Hashing for Cross-Modal Search 

X. Liang, E. Yang, Y. Yang, and C. Deng.

IEEE Trans. Image Process., 33: 3009-3020, 2024.(IF21=11.041)

• Few-Shot Generative Model Adaption via Optimal Kernel Modulation

Z. Zhang, S. Pan, K. Wei, J. Ji, X. Yang, and C. Deng.

IEEE Trans. Circuits Syst. Video Technol., 2024.(IF21=8.4)

• Causality-Invariant Interactive Mining for Cross-Modal Similarity Learning

J. Yan, C. Deng, H. Huang, and W. Liu.

IEEE Trans. Pattern Anal. Mach. Intell., 2024.(IF21=24.319)

• Few-shot Generative Model Adaptation via Style-Guided Prompt

S. Pan, Z. Zhang, K. Wei, X. Yang, and C. Deng.

IEEE Trans. Multimed., 26: 7661-7672, 2024.(IF23=8.182)

• Agree to Disagree: Exploring Partial Semantic Consistency against Visual Deviation for Compositional Zero-Shot Learning

X. Li, X. Yang, X. Wang, and C. Deng.

IEEE Trans. Cogn. Develop. Syst., 2024.(IF23=5.0)

• Unsupervised Out-of-Distribution Object Detection via PCA-Driven Dynamic Prototype Enhancement

A. Wu, and C. Deng.

IEEE Trans. Image Process., 33: 2431-2446, 2024.(IF21=11.041)

• Class-Incremental Unsupervised Domain Adaptation via Pseudo-Label Distillation 

K. Wei, X. Yang, Z. Xu, and C. Deng.

IEEE Trans. Image Process., 2024.(IF₂₁=11.041)

• Global Model Selection via Solution Paths for Robust Support Vector Machine 

Z. Zhai, B. Gu, C. Deng, and H. Huang.

IEEE Trans. Pattern Anal. Mach. Intell., 2023.(IF₂₁=24.319)

• Implicit Compositional Generative Network for Length-Variable Co-Speech Gesture Synthesis 

C. Xu, J. Yan, Y. Yang. and C. Deng.

IEEE Trans. Multimed., 2023.(IF₂₁=8.182)

• Invisible Backdoor Attack With Dynamic Triggers Against Person Re-Identification 

W. Sun, X. Jiang, S. Dou, D. Li, D. Miao, C. Deng, and C. Zhao.

IEEE Trans. Inf. Forensics Security, 19: 307-319, 2024.(IF₂₃=4.157)

• Parameter-Agnostic Deep Graph Clustering 

H. Zhao, X. Yang, and C. Deng.

ACM Trans. Knowl. Discov. Data, 18(3), 66:1-20, Jan. 2024.(IF₂₃=4.157)

• TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck 

A. Wu, and C. Deng.

IEEE Trans. Pattern Anal. Mach. Intell., 2023.(IF₂₁=24.319)

• Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization 

Z. Xu, K. Wei, E. Yang, C. Deng, and W. Liu.

IEEE Trans. Pattern Anal. Mach. Intell., 2023.(IF₂₁=24.319)

• Adaptive Hierarchical Similarity Metric Learning With Noisy Labels 

J. Yan, L. Luo, C. Deng, and H. Huang.

IEEE Trans. Image Process., 32: 1245-1256, 2023.(IF₂₁=11.041)

• Dual-Stream Contrastive Learning for Compositional Zero-Shot Recognition 

Y. Yang, R. Pan, X. Li, X. Yang, and C. Deng.

IEEE Trans. Multimed., 2023.(IF₂₁=8.182)

• Frequency Domain Regularization for Iterative Adversarial Attacks 

T. Li, M. Li, Y. Yang, and C. Deng.

Pattern Recogn., 2022.(IF₂₁=8.518)

• Point-Supervised Video Temporal Grounding 

Z. Xu, K. Wei, X. Yang, C. Deng.

IEEE Trans. Multimed., 25: 6121-6131, 2023.(IF₂₁=8.182)

• Asynchronous Parallel Large-Scale Gaussian Process Regression 

Z. Dang, B. Gu, C. Deng, and H. Huang.

IEEE Trans. Neural Netw. Learn. Syst., 2022.(IF₂₁=14.255)

• A Decomposable Causal View of Compositional Zero-Shot Learning 

M. Yang, C. Xu, A. Wu, and C. Deng.

IEEE Trans. Multimed., 25: 5892-5902, 2023.(IF₂₁=8.182)

• Incremental Embedding Learning with Disentangled Representation Translation 

K. Wei, D. Chen, Y. Li, K. Wei, X. Yang, C. Deng, and D. Tao.

IEEE Trans. Neural Netw. Learn. Syst., 2022.(IF₂₁=14.255)

• HiSA: Hierarchically Semantic Associating for Video Temporal Grounding 

Z. Xu, D. Chen, K. Wei, C. Deng, and H. Xue.

IEEE Trans. Image Process., 31: 5178-5188, 2022.(IF₂₁=11.041)

• Group Contrastive Self-Supervised Learning on Graphs 

X. Xu, C. Deng, Y. Xie, and S. Ji^✉.

IEEE Trans. Pattern Anal. Mach. Intell., 2022.(IF₂₁=24.319)

• A Survey on Multimodal-Guided Visual Content Synthesis 

Z. Zhang, Z. Li, K. Wei, and C. Deng.

Neurocomputing, 2022.(IF₂₁=5.779)

• Object-Agnostic Transformers for Video Referring Segmentation 

X. Yang, H. Wang, D. Xie, C. Deng, and D. Tao.

IEEE Trans. Image Process., 31: 2839-2849, Mar. 2022.(IF₂₁=11.041)

• Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping 

X. Xu, Z. Wang, C. Deng, H. Yuan, and S. Ji^✉.

IEEE Trans. Pattern Anal. Mach. Intell., 2022.(IF₂₁=24.319)

• Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot Learning 

Y. Yang, X. Zhang, M. Yang, and C. Deng.

IEEE Trans. Multimed., 25:280-290, 2023.(IF₂₁=8.182)

• Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval 

H. Wang, C. Deng, T. Liu^✉ and D. Tao.

IEEE Trans. Pattern Anal. Mach. Intell., 2021.(IF₂₁=24.319)

• Incremental Zero-Shot Learning 

K. Wei, C. Deng, X. Yang and D. Tao.

IEEE Trans. Cybern., 52(12): 13788-13799, Dec. 2022.(IF₂₁=19.118)

• Learning Semantic Priors for Texture-Realistic Sketch-to-Image Synthesis 

Z. Li, C. Deng, K. Wei, W. Liu and D. Tao.

Neurocomputing, 2021.(IF₂₁=5.779)

• Deep Multi-View Collaborative Clustering 

X. Yang, C. Deng, Z. Dang, and D. Tao.

IEEE Trans. Neural Netw. Learn. Syst., 34(1): 516-526, Jan. 2023.(IF₂₁=14.255)

• Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity 

B. Gu, X. Wei, S. Gao, C. Deng, H. Huang, and Z. Xiong.

Journal of Machine Learning Research, 22(170): 1-47, 2021.(IF₂₁=5.177)

• Self-Training with Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-identification 

H. Zhang, H. Cao, X. Yang, C. Deng, and D. Tao.

IEEE Trans. Image Process., 30: 5287-5298, 2021.(IF₂₁=11.041)

• Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning 

B. Gu, A. Xu, Z. Huo, C. Deng, and H. Huang.

IEEE Trans. Neural Netw. Learn. Syst., 33(11): 6103-6115, Nov. 2022.(IF₂₁=14.255)

• Multi-sentence Auxiliary Adversarial Networks for Fine-grained Text-to-Image Synthesis 

Y. Yang, L. Wang, D. Xie, C. Deng, and D. Tao.

IEEE Trans. Image Process., 30: 2798-2809, 2021.(IF₂₁=11.041)

• Scaling Up Generalized Kernel Methods 

B. Gu, Z. Dang, Z. Huo, C. Deng, and H. Huang.

IEEE Trans. Pattern Anal. Mach. Intell., 44(7): 3767-3778, July 2022.(IF₂₁=24.319)

• Faster Stochastic Quasi-Newton Methods 

Q. Zhang, F. Huang, C. Deng, and H. Huang.

IEEE Trans. Neural Netw. Learn. Syst., 33(9): 4388-4397, Sep. 2022.(IF₂₁=14.255)

• Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation  (Highly Cited Paper)

X. Yang, C. Deng, T. Liu, and D. Tao.

IEEE Trans. Pattern Anal. Mach. Intell., 44(4): 1992-2003, April 2022.(IF₂₁=24.319)

• Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients 

Z. Dang, X. Li, B. Gu, C. Deng, and H. Huang^✉.

IEEE Trans. Pattern Anal. Mach. Intell., 44(3): 1385-1398, Mar. 2021.(IF₂₂=24.319)

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会议论文成果 (2021-2024)

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• Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World.

C. Mu, J. Li, K. Wei, and C. Deng.

In AAAI Conference on Artificial Intelligence (AAAI), 2025.

• Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning.

K. Wei, Z. Xu, and C. Deng.

In AAAI Conference on Artificial Intelligence (AAAI), 2025.

• ACFun: Abstract-Concrete Fusion Facial Stylization.

J. Ji, K. Wei, Z. Zhang, and C. Deng.

In 38th Conference on Neural Information Processing Systems (NeurIPS), 2024.

• Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization.

Z. Xu, K. Wei, X. Yang, and C. Deng.

In In the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.

• LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures.

C. Xu, G. Lyu, J. Yan, M. Yang, and C. Deng.

In In the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.

• Retrieval Across Any Domains via Large-scale Pre-trained Model.

J. Yan, Z. Yin, C. Xu, and C. Deng., and H. Huang.

In Conference on Machine Learning (ICML), 2024.

• Navigating Continual Test-time Adaptation with Symbiosis Knowledge.

X. Xu, M. Li, J. Yin, K. Wei, and C. Deng..

In International Joint Conference on Artificial Intelligence (IJCAI), 2024.

• Long-Tail Class Incremental Learning via Independent Sub-prototype Construction

X. Wang, X. Yang, J. Yin, K. Wei, and C. Deng..

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

• Capture Now and Embrace Future: A Versatile Framework for Continual Test-Time Domain Adaptation

X. Yang, X. Chen, M. Li, K. Wei, and C. Deng..

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

• Robust Noisy Correspondence Learning with Equivariant Similarity Consistency. 

Y. Yang, E. Yang, K. Wang, and C. Deng.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

• Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation. 

F. Wan, H. Zhao, X. Yang, and C. Deng..

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

• Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects. 

A. Wu and C. Deng.

In Twelfth International Conference on Learning Representations (ICLR), 2024.

• Dynamic Reactive Spiking Graph Neural Network 

H. Zhao, X. Yang, C. Deng, and J. Yan.

In Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.

• Asymmetric Mutual Alignment for Unsupervised Zero-shot Sketch-based Image Retrieval 

Z. Yin, J. Yan, C. Xu, and C. Deng.

In Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.

• Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery 

M. Yang, L. Wang, C. Deng, and H. Zhang.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

• Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder 

A. Wu, and C. Deng.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

• Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection 

M. Li, X. Li, K. Yu, C. Deng, H. Huang, F. Mao, H. Xue, and M. Li.

In ACM Conference on Multimedia (ACM MM), 2023.

• Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation 

Y. Min, A. Wu, and C. Deng.

In International Conference on Computer Vision (ICCV), 2023.

• Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects 

A. Wu, D. Chen, and C. Deng.

In International Conference on Computer Vision (ICCV), 2023.

• Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning 

J. Yan, Z. Yin, E. Yang, and C. Deng.

In International Conference on Computer Vision (ICCV), 2023.

• MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning 

J. Yan, E. Yang, C. Deng, and H. Huang.

In 36th Conference on Neural Information Processing Systems (NeurIPS), 2022.

• MSR: Making Self-supervised learning Robust to Aggressive Augmentations 

Y. Bai, E. Yang, Z. Wang, Y. Du, B. Han, C. Deng, D. Wang, and T. Liu.

In 36th Conference on Neural Information Processing Systems (NeurIPS), 2022.

• Attention-guided Contrastive Hashing for Long-tailed Image Retrieval 

X. Kou, C. Xu, X. Yang, and C. Deng.

In 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.

• Mutual Quantization for Cross-Modal Search with Noisy Labels 

E. Yang, D. Yao, T. Liu, and C. Deng.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery 

M. Yang, Y. Zhu, J. Yu, A. Wu, and C. Deng.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation 

A. Wu and C. Deng.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning 

X. Li, X. Yang, K. Wei, C. Deng, and M. Yang.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning 

J. Yan, L. Luo, C. Xu, and C. Deng, and H. Huang.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency 

Y. Gu, X. Yang, K Wei, and C. Deng.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement 

A. Wu, S. Zhao, C. Deng, and W. Liu.

In 35th Conference on Neural Information Processing Systems (NeurIPS), 2021.

• Adversarial Attack on Deep Cross-Modal Hamming Retrieval 

C. Li, S. Gao, C. Deng, W. Liu, and H. Huang.

In International Conference on Computer Vision (ICCV), 2021.

• AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization 

Q. Zhang, B. Gu, C. Deng, J. Pei, and H. Huang.

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.

• Graph Debiased Contrastive Learning with Joint Representation Clustering 

H. Zhao, X. Yang, Z. Wang, E. Yang, and C. Deng.

In 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.

• Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval 

Z. Wang, H. Wang, J. Yan, A. Wu, and C. Deng.

In 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.

• SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network 

X. Yang, C. Deng, Z. Dang, K. Wei, and J. Yan.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

• Nearest Neighbor Matching for Deep Clustering 

Z. Dang, C. Deng, X. Yang, K. Wei, and H. Huang.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

• Unsupervised Hyperbolic Metric Learning 

J. Yan, L. Luo, C. Deng, and H. Huang.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

• Incremental Embedding Learning via Zero-Shot Translation 

K. Wei, C. Deng, X. Yang, and M. Li.

In AAAI Conference on Artificial Intelligence (AAAI), 2021.

• Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating 

Q. Zhang, B. Gu, C. Deng, and H. Huang.

In AAAI Conference on Artificial Intelligence (AAAI), 2021.

• Class-Incremental Instance Segmentation via Multi-Teacher Networks 

Y. Gu, C. Deng, and K. Wei.

In AAAI Conference on Artificial Intelligence (AAAI), 2021.

• Generalized Zero-Shot Learning via Disentangled Representation 

X. Li, Z. Xu, C. Deng, and K. Wei.

In AAAI Conference on Artificial Intelligence (AAAI), 2021.