学术信息网 西电导航 关于 使用说明 搜索 系统首页 登录 控制面板 收藏 邓成的留言板
论文著作

期刊论文成果


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

A. Wu, and C. Deng.

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

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck 

A. Wu, and C. Deng.

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

  1. 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)

  1. 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)

  1. 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)

  1. Frequency Domain Regularization for Iterative Adversarial Attacks 

T. Li, M. Li, Y. Yang, and C. Deng.

Pattern Recogn., 2022.(IF21=8.518)

  1. Point-Supervised Video Temporal Grounding 

Z. Xu, K. Wei, X. Yang, C. Deng.

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

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. A Survey on Multimodal-Guided Visual Content Synthesis 

Z. Zhang, Z. Li, K. Wei, and C. Deng.

Neurocomputing, 2022.(IF21=5.779)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. 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)

  1. Progressive Cross-Modal Network for Zero-Shot Sketch-Based Image Retrieval 

C. Deng, X. Xu, H. Wang, M. Yang, and D. Tao.

IEEE Trans. Image Process., 29: 8892-8902, 2020.(IF21=11.041)

  1. A Unified q-Memorization Framework for Asynchronous Stochastic Optimization 

H. Huang, B. Gu, Z. Huo, C. Deng, and W. Xian.

Journal of Machine Learning Research, 21(2020): 1-53.(IF21=5.177)

  1. Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients 

B. Gu, X. Geng, X. Li, W. Shi, G. Zheng, C. Deng, and H. Huang.

IEEE Trans. Neural Netw. Learn. Syst., 32(8): 3677-3689, Aug., 2021.(IF21=14.255)

  1. Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data 

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

IEEE Trans. Neural Netw. Learn. Syst., 32(9): 4111-4122, Sept. 2021.(IF21=14.255)

  1. Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks 

Z. Li, C. Deng, E. Yang, and D. Tao.

IEEE Trans. Multimed., 23: 2694-2705, 2021.(IF21=8.182)

  1. Sparse Modal Additive Model 

H. Chen, Y. Wang, F. Zheng, C. Deng, and H. Huang.

IEEE Trans. Neural Netw. Learn. Syst., 2020.(IF21=14.255)

  1. Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval 

D. Xie, C. Deng, C. Li, X. Liu, and D. Tao.

IEEE Trans. Image Process., 29(1): 3626-3637, 2020.(IF21=11.041)

  1. Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model 

K. G. Dizaji, H. Gao, Y. Yang, H. Huang, and C. Deng.

IEEE Trans. Neural Netw. Learn. Syst., 31(11): 4610-4621, Nov. 2020.(IF21=14.255)

  1. Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking 

C. Deng, X. Yang, F. Nie, and D. Tao.

IEEE Trans. Multimed., 22(4): 885-896, April 2020.(IF21=8.182)

  1. Two-Stream Deep Hashing with Class-Specific Centers for Image Search 

C. Deng, E. Yang, T. Liu, and D. Tao.

IEEE Trans. Neural Netw. Learn. Syst., 31(6): 2189-2201, June 2020.(IF21=14.255)

  1. Category-Aware Spatial Constraint for Weakly Supervised Detection 

Y. Shen, R. Ji, K. Yang, C. Deng, and C. Wang.

IEEE Trans. Image Process., 29(1): 843-858, Dec. 2019.(IF21=11.041)

  1. Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression 

J. Yan, C. Deng, X. Wang, X. Yao, L. Shen, and H. Huang.

Frontiers Neurosci., 13(668): 1-9, July 2019.(IF21=5.152)

  1. Towards Compact ConvNet via Structure-Sparsity Regularized Filter Pruning 

S. Lin, R. Ji, Y. Li, C. Deng, and X. Li.

IEEE Trans. Neural Netw. Learn. Syst., 2019.(IF21=14.255)

  1. Unsupervised Semantic-Preserving Adversarial Hashing for Image Search  (Highly Cited Paper)

C. Deng, E. Yang, T. Liu, W. Liu, J. Li, and D. Tao.

IEEE Trans. Image Process., 28(8): 4032-4044, Aug. 2019.(IF21=11.041)

  1. Adaptive-Weighting Discriminative Regression for Multi-View Classification 

M. Yang, C. Deng, and F. Nie.

Pattern Recogn., 88: 236-245, April 2019.(IF21=8.518)

  1. Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics 

C. Deng, Zhao Li, X. Gao, and D. Tao.

ACM Trans. Intel. Syst. Tec., 10(2), Article 20, 2018.(IF21=10.489)

  1. Adversarial Examples for Hamming Space Search 

E. Yang, T. Liu, C. Deng, and D. Tao.

IEEE Trans. Cybern., 50(4): 1473-1484, April 2020.(IF21=19.118)

  1. Active Transfer Learning Network: A Unified Deep Joint Feature Learning Model For Hyperspectral Image Classification  (Highly Cited Paper)

C. Deng, Y. Xue, X. Liu, et al.

IEEE Trans. Geosci. Remote Sens., 57(3): 1741-1754, March 2019.(IF21=8.125)

  1. Triplet-Based Deep Hashing Network for Cross-Modal Retrieval  (Highly Cited Paper)

C. Deng, Z. Chen, X. Liu, et al.

IEEE Trans. Image Process., 27(8): 3893-3903, August 2018.(IF21=11.041)

  1. Shared Predictive Cross-Modal Deep Quantization 

E. Yang, C. Deng, C. Li, W. Liu, et al.

IEEE Trans. Neural Netw. Learn. Syst., 29(11): 5292-5303, November 2018.(IF21=14.255)

  1. Compressed Multi-scale Feature Fusion Network for Single Image Super-Resolution 

X. Fan, Y. Yang, C. Deng, J. Xu, X. Gao.

Signal Process., 146: 50-60, May 2018.(IF21=4.729)

  1. Active Multi-kernel Domain Adaptation for Hyperspectral Image Classification 

C. Deng, X. Liu, C. Li, and D. Tao.

Pattern Recogn., 77: 306-315, May 2018.(IF21=8.518)

  1. Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search 

X. Liu, Z. Li, C. Deng, and D. Tao.

IEEE Trans. Image Process., 26(11): 5324-5336, 2017.(IF21=11.041)

  1. Discriminative Multi-instance Multitask Learning for 3D Action Recognition 

Y. Yang, C. Deng, S. Gao, et al.

IEEE Trans. Multimed., 19(3): 519-529, 2017.(IF21=8.182)

  1. Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search 

X. Liu, L. Huang, C. Deng, B. Lang, and D. Tao.

IEEE Trans. Image Process., 25(10): 4514-4524, 2016.(IF21=11.041)

  1. Latent Max-margin Multitask Learning with Skelets for 3-D Action Recognition 

Y. Yang, C. Deng, et al.

IEEE Trans. Cybern., 47(2): 439-448, 2017.(IF21=19.118)

  1. Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval 

C. Deng, X. Tang, et al.

IEEE Trans. Multimed., 18(2): 208-218, 2016.(IF21=8.182)

  1. Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search 

X. Liu, C. Deng, et al.

IEEE Trans. Image Process., 25(2): 907-919, 2016.(IF21=11.041)

  1. Structure Sensitive Hashing with Adaptive Product Quantization 

X. Liu, B. Du, C. Deng, et al.

IEEE Trans. Cybern., 46(10): 2252-2264, 2016.(IF21=19.118)

  1. Similarity Constraints Based Structured Output Regression Machine: An Approach to Image Super-resolution 

C. Deng, J. Xu, et al.

IEEE Trans. Neural Netw. Learn. Syst., 27(12): 2472-2485, 2016.(IF21=14.255)

  1. Weakly Supervised Multi-graph Learning for Robust Image Reranking 

C. Deng, R. Ji, et al.

IEEE Trans. Multimed., 16(3): 785-795, 2014.(IF21=8.182)

 

会议论文成果


  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. Incremental Embedding Learning via Zero-Shot Translation 

K. Wei, C. Deng, X. Yang, and M. Li.

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

  1. 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.

  1. Class-Incremental Instance Segmentation via Multi-Teacher Networks 

Y. Gu, C. Deng, and K. Wei.

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

  1. Generalized Zero-Shot Learning via Disentangled Representation 

X. Li, Z. Xu, C. Deng, and K. Wei.

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

  1. Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies 

Y. Zhu, M. Yang, C. Deng, and W. Liu.

In 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.

  1. Adversarial Learning for Robust Deep Clustering 

X. Yang, C. Deng, K. Wei, J. Yan, and W. Liu.

In 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.

  1. Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning 

C. Li, H. Tang, C. Deng, L. Zhan, and W. Liu.

In 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.

  1. Lifelong Zero-Shot Learning 

K. Wei, C. Deng, and X. Yang.

In International Joint Conference on Artificial Intelligence (IJCAI), 2020.

  1. Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval 

X. Xu, M. Yang, Y. Yang, and H. Wang.

In International Joint Conference on Artificial Intelligence (IJCAI), 2020.

  1. Learning Unseen Concepts via Hierarchical Decomposition and Composition 

M. Yang, C. Deng, J. Yan, X. Liu, and D. Tao.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  1. Multi-Scale Fusion Subspace Clustering Using Similarity Constraint 

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

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  1. Towards Transferable Targeted Attack 

M. Li, C. Deng, T. Li, J. Yan, X. Gao, and H. Huang.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  1. Projection & Probability-Driven Black-Box Attack 

J. Li, R. Ji, H. Liu, J. Liu, B. Zhong, C. Deng, and Q. Tian.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  1. Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation 

G. Luo, Y. Zhou, X. Sun, L. Cao, C. Wu, C. Deng, and R. Ji.

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  1. Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries 

H. Wang, C. Deng, and F. Ma et al.

In AAAI Conference on Artificial Intelligence (AAAI), 2020.

  1. Cross-Modal Learning with Adversarial Samples 

C. Li, C. Deng, S. Gao, D. Xie, W. Liu.

In Annual Conference on Neural Information Processing Systems (NeurIPS), 2019.

  1. Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition 

K. Wei, M. Yang, H. Wang, C. Deng, X. Liu.

In International Conference on Computer Vision (ICCV), 2019.

  1. Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation from Natural Language Query 

H. Wang, C. Deng, J. Yan, and D. Tao.

In International Conference on Computer Vision (ICCV), 2019.

  1. Zero-shot Metric Learning 

X. Xu, C. Cao, Y. Yang, E. Yang, and C. Deng.

In International Joint Conference on Artificial Intelligence (IJCAI), 2019.

  1. Graph Convolutional Network Hashing for Cross-Modal Retrieval 

R. Xu, C. Li, J. Yan, C. Deng, X. Liu.

In International Joint Conference on Artificial Intelligence (IJCAI), 2019.

  1. Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss 

F. Zheng, C. Deng, and H. Huang.

In International Joint Conference on Artificial Intelligence (IJCAI), 2019.

  1. Hypergraph Induced Convolutional Manifold Networks 

T. Jin, L. Cao, B. Zhang, X. Sun, C. Deng, and R. Ji.

In International Joint Conference on Artificial Intelligence (IJCAI), 2019.

  1. DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs 

E. Yang, T. Liu, C. Deng, W. Liu, and D. Tao.

In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.

  1. Deep Spectral Clustering Using Dual Autoencoder Network 

X. Yang, C. Deng, F. Zheng, J. Yan, and W. Liu.

In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.

  1. Deep Asymmetric Metric Learning via Rich Relationship Mining 

X. Xu, Y. Yang, C. Deng, F. Zheng.

In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.

  1. Cross Domain Model Compression by Structurally Weight Sharing 

S. Gao, C. Deng, and H. Huang.

In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.

  1. Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training 

F. Zheng, R. Ji, and C. Deng, et al.

In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.

  1. Balanced Self-Paced Learning for Generative Adversarial Clustering Network 

K. Ghasedi, X. Wang, C. Deng, and H. Huang.

In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.

  1. Towards Visual Feature Translation 

J. Hu, R. Ji, H. Liu, S. Zhang, and C. Deng, et al.

In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.

  1. Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification 

D. Xie, C. Deng, H. Wang, C. Li, and D. Tao.

In 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019: 9030-9037.

  1. Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval 

C. Li, C. Deng, L. Wang, D. Xie, and X. Liu.

In 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019: 176-183.

  1. Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees 

L. Luo, J. Xu, C. Deng, and H. Huang.

In 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019: 4480-4487.

  1. Orthogonality-Promoting Dictionary Learning via Bayesian Inference 

L. Luo, J. Xu, C. Deng, and H. Huang.

In 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019: 4472-4479.

  1. Bilevel Distance Metric Learning for Robust Image Recognition 

J. Xu, L. Luo, C. Deng, and H. Huang.

In Advances in Neural Information Processing Systems (NeurIPS), 2018.

  1. Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines 

B. Gu, Z. Huo, C. Deng, and H. Huang.

In Conference on Machine Learning (ICML), 2018: 1807-1816.

  1. New Robust Metric Learning Model Using Maximum Correntropy Criterion 

J. Xu, L. Luo, C. Deng, and H. Huang.

In Conference on Knowledge Discovery and Data Mining (KDD), 2018: 2555-2564.

  1. Multi-Level Metric Learning via Smoothed Wasserstein Distance 

J. Xu, L. Luo, C. Deng, and H. Huang.

In International Joint Conference on Artificial Intelligence (IJCAI), 2018: 2919-2925.

  1. Deep Joint Semantic-Embedding Hashing  

N. Li, C. Li, C. Deng, X. Liu, and X. Gao.

In International Joint Conference on Artificial Intelligence (IJCAI), 2018: 2397-2403.

  1. Deep View-Aware Metric Learning for Person Re-Identification 

P. Chen, X. Xu, C. Deng, X. Liu, and X. Gao.

In International Joint Conference on Artificial Intelligence (IJCAI), 2018: 620-626.

  1. Semantic Structure-based Unsupervised Deep Hashing 

E. Yang, C. Deng, T. Liu, W. Liu, and D. Tao.

In International Joint Conference on Artificial Intelligence (IJCAI), 2018: 1064-1070.

  1. Complementary Binary Quantization for Joint Multiple Indexing 

Q. Fu, X. Han, X. Liu, J. Song, C. Deng.

In International Joint Conference on Artificial Intelligence (IJCAI), 2018: 2114-2120.

  1. Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval 

C. Li, C. Deng, W. Liu, and D. Tao.

In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018: 4242-4251.

  1. Direct Shape Regression Networks for End-to-End Face Alignment 

X. Miao, X. Zhen, V. Athitsos, X. Liu, C. Deng, and H. Huang.

In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018: 4321-4330.

  1. Unsupervised Deep Generative Adversarial Hashing Network 

K. G. Dizaji, F. Zheng, N. S. Nourabadi, Y. Yang, C. Deng, and H. Huang.

In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018: 3664-3673.

  1. New L2,1-Norm Relaxation of Multi-Way Graph Cut for Clustering 

X. Yang, C. Deng, and X. Liu, and F. Nie.

In AAAI Conference on Artificial Intelligence (AAAI), 2018: 4374-4381.

  1. Dictionary Learning in Optimal Metric Space 

J. Yan, C. Deng, and X. Liu.

In AAAI Conference on Artificial Intelligence (AAAI), 2018: 4350-4357.

  1. Learning A Structured Optimal Bipartite Graph for Co-Clustering 

F. Nie, Q. Wang, C. Deng, and H. Huang.

In Advances in Neural Information Processing Systems (NIPS), 2017: 4129-4138.

  1. Group Sparse Additive Machine 

H. Chen, Q. Wang, C. Deng, and H. Huang.

In Advances in Neural Information Processing Systems (NIPS), 2017: 198-208.

  1. Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization 

K. G. Dizaji, A. Herandi, C. Deng, W. Cai, and H. Huang.

In International Conference on Computer Vision (ICCV), 2017: 5736-5745.

  1. Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-rank Structured Sparse Model 

J. Xu, C. Deng, X. Gao, D. Shen, and H. Huang.

In International Joint Conference on Artificial Intelligence (IJCAI), 2017: 3880-3886.

  1. Multi-Class Support Vector Machine via Maximizing Multi-Class Margins 

J. Xu, X. Liu, Z. Huo, C. Deng, F. Nie, and H. Huang.

In International Joint Conference on Artificial Intelligence (IJCAI), 2017: 3154-3160.

  1. How Unlabeled Web Videos Help Complex Event Detection? 

H. Liu, Q. Zheng, M. Luo, D. Zhang, X. Chang, C. Deng.

In International Joint Conference on Artificial Intelligence (IJCAI), 2017: 4040-4046.

  1. Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning 

W. Jiang, C. Deng, W. Liu, F. Nie, F. Chung, and H. Huang.

In International Joint Conference on Artificial Intelligence (IJCAI), 2017: 1958-1964.

  1. Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval 

E. Yang, C. Deng, W. Liu, X. Liu, D. Tao, and X. Gao.

In AAAI Conference on Artificial Intelligence (AAAI), 2017: 1618-1625.

  1. Boosting Complementary Hash Tables for Fast Nearest Neighbor Search 

X. Liu, C. Deng, Y. Mu, Z. Li.

In AAAI Conference on Artificial Intelligence (AAAI), 2017: 4183-4189.

  1. Multilinear Hyperplane Hashing 

X. Liu, X. Fan, C. Deng, H. Su, D. Tao.

In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016: 5119-5127.

  1. Drosophila Gene Expression Pattern Annotations via Muliti-Instance Biological Relevance Learning 

H. Wang, C. Deng, H. Zhang, X. Gao, H. Huang.

In AAAI Conference on Artificial Intelligence (AAAI), 2016: 1324-1330.

  1. New L1-Norm Relaxations and Optimizations for Graph Clustering 

F. Nie, H. Wang, C. Deng, X. Gao, X. Li, H. Huang.

In AAAI Conference on Artificial Intelligence (AAAI), 2016: 1962-1968.

  1. Multi-View Complementary Hash Tables for Nearest Neighbor Search 

X. Liu, L. Huang, C. Deng, J. Lu, B. Lang.

In International Conference on Computer Vision (ICCV), 2015: 1107-1115.

  1. Optimizing Bag Features for Multiple-Instance Retrieval 

Z. Fu, F. Pan, C. Deng, and W. Liu.

In AAAI Conference on Artificial Intelligence (AAAI), 2015: 2596-2602.

  1. Collaborative Hashing 

X. Liu, J. He, C. Deng, and B. Lang.

In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014: 2600-2607.

  1. Visual Reranking through Weakly Supervised Multi-Graph Learning 

C. Deng, R. Ji, W. Liu, X. Gao, and D. Tao.

In IEEE International Conference on Computer Vision (ICCV), 2013: 2600-2607.