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2020 – today
- 2024
[j112]Jiaqi Liu, Zhiwen Yu, Bin Guo, Cheng Deng, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
EvolveKG: a general framework to learn evolving knowledge graphs. Frontiers Comput. Sci. 18(3): 183309 (2024)- [j111]Aming Wu
, Cheng Deng:
TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 611-625 (2024) - [j110]Jiexi Yan, Cheng Deng, Heng Huang, Wei Liu:
Causality-Invariant Interactive Mining for Cross-Modal Similarity Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6216-6230 (2024) - [j109]Shuman Zhang, Chao Chen, Cheng Deng:
University-industry collaboration portfolio concentration and focal firms' innovation performance: evidence from China. Technol. Anal. Strateg. Manag. 36(5): 975-988 (2024) - [j108]Xiangyu Li, Xu Yang, Xi Wang, Cheng Deng:
Agree to Disagree: Exploring Partial Semantic Consistency Against Visual Deviation for Compositional Zero-Shot Learning. IEEE Trans. Cogn. Dev. Syst. 16(4): 1433-1444 (2024) - [j107]Xu Yang, Cheng Deng, Kun Wei, Dacheng Tao:
Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction. IEEE Trans. Cybern. 54(7): 4138-4149 (2024) - [j106]Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao:
Invisible Backdoor Attack With Dynamic Triggers Against Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 19: 307-319 (2024) - [j105]Kun Wei, Xu Yang, Zhe Xu, Cheng Deng:
Class-Incremental Unsupervised Domain Adaptation via Pseudo-Label Distillation. IEEE Trans. Image Process. 33: 1188-1198 (2024) - [j104]Aming Wu, Cheng Deng, Wei Liu:
Unsupervised Out-of-Distribution Object Detection via PCA-Driven Dynamic Prototype Enhancement. IEEE Trans. Image Process. 33: 2431-2446 (2024) - [j103]Xiao Liang, Erkun Yang, Yanhua Yang, Cheng Deng:
Multi-Relational Deep Hashing for Cross-Modal Search. IEEE Trans. Image Process. 33: 3009-3020 (2024) - [j102]Chenghao Xu, Jiexi Yan, Muli Yang, Cheng Deng:
Rethinking Noise Sampling in Class-Imbalanced Diffusion Models. IEEE Trans. Image Process. 33: 6298-6308 (2024) - [j101]Han Zhao, Xu Yang, Cheng Deng:
Parameter-Agnostic Deep Graph Clustering. ACM Trans. Knowl. Discov. Data 18(3): 66:1-66:20 (2024) - [j100]Han Zhao, Xu Yang, Kun Wei, Cheng Deng, Dacheng Tao:
Unsupervised Graph Transformer With Augmentation-Free Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(11): 7296-7307 (2024) - [j99]Yanhua Yang, Rui Pan, Xiangyu Li, Xu Yang, Cheng Deng:
Dual-Stream Contrastive Learning for Compositional Zero-Shot Recognition. IEEE Trans. Multim. 26: 1909-1919 (2024) - [j98]Chenghao Xu, Jiexi Yan, Yanhua Yang, Cheng Deng:
Implicit Compositional Generative Network for Length-Variable Co-Speech Gesture Synthesis. IEEE Trans. Multim. 26: 6325-6335 (2024) - [j97]Siduo Pan, Ziqi Zhang, Kun Wei, Xu Yang, Cheng Deng:
Few-Shot Generative Model Adaptation via Style-Guided Prompt. IEEE Trans. Multim. 26: 7661-7672 (2024) - [j96]Aming Wu, Jiaping Yu, Yuxuan Wang, Cheng Deng:
Prototype-Decomposed Knowledge Distillation for Learning Generalized Federated Representation. IEEE Trans. Multim. 26: 10991-11002 (2024) - [j95]Kun Wei, Da Chen, Yuhong Li, Xu Yang, Cheng Deng, Dacheng Tao:
Incremental Embedding Learning With Disentangled Representation Translation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3821-3833 (2024) - [j94]Zhiyuan Dang, Bin Gu, Cheng Deng, Heng Huang:
Asynchronous Parallel Large-Scale Gaussian Process Regression. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8683-8694 (2024) - [j93]Han Zhao, Xu Yang, Cheng Deng, Dacheng Tao:
Unsupervised Structure-Adaptive Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13728-13740 (2024) - [j92]Chong Zhang, Cheng Deng, Luoyi Fu, Xinbing Wang, Guihai Chen, Lei Zhou, Chenghu Zhou:
RWE: A Random Walk Based Graph Entropy for the Structural Complexity of Directed Networks. IEEE Trans. Netw. Sci. Eng. 11(2): 2264-2278 (2024) - [c140]Zhihui Yin, Jiexi Yan, Chenghao Xu, Cheng Deng:
Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval. AAAI 2024: 16504-16512 - [c139]Han Zhao, Xu Yang, Cheng Deng, Junchi Yan:
Dynamic Reactive Spiking Graph Neural Network. AAAI 2024: 16970-16978 - [c138]Zhe Xu, Kun Wei, Xu Yang, Cheng Deng:
Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization. ACL (1) 2024: 4511-4521 - [c137]Chenghao Xu, Guangtao Lyu, Jiexi Yan, Muli Yang, Cheng Deng:
LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures. ACL (1) 2024: 5004-5013 - [c136]Yuchen Yang, Likai Wang, Erkun Yang, Cheng Deng:
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency. CVPR 2024: 17700-17709 - [c135]Xu Yang, Xuan Chen, Moqi Li, Kun Wei, Cheng Deng:
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability. CVPR 2024: 23731-23740 - [c134]Fuli Wan, Han Zhao, Xu Yang, Cheng Deng:
Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation. CVPR 2024: 24015-24024 - [c133]Xi Wang, Xu Yang, Jie Yin, Kun Wei, Cheng Deng:
Long-Tail Class Incremental Learning via Independent SUb-Prototype Construction. CVPR 2024: 28598-28607 - [c132]Lin Sheng, Cheng Deng, Junjie Zhang, Fangyuan Chang, Qinghua Sun, Zhenyu Gu:
A Language Model as a Design Assistant for UI Design Recommendation and Evaluation. ECAI 2024: 3821-3827 - [c131]Aming Wu, Cheng Deng:
Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects. ICLR 2024 - [c130]Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang:
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. ICML 2024 - [c129]Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang:
Retrieval Across Any Domains via Large-scale Pre-trained Model. ICML 2024 - [c128]Xu Yang, Moqi Li, Jie Yin, Kun Wei, Cheng Deng:
Navigating Continual Test-time Adaptation with Symbiosis Knowledge. IJCAI 2024: 5326-5334 - [c127]Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie:
Label Learning Method Based on Tensor Projection. KDD 2024: 1599-1609 - [c126]Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
3D Molecular Geometry Analysis with 2D Graphs. SDM 2024: 343-351 - [c125]Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He:
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. WSDM 2024: 161-170 - [i56]Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Tao Shi, Tianyu Huang, Yiwei Xu, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou:
GeoGalactica: A Scientific Large Language Model in Geoscience. CoRR abs/2401.00434 (2024) - [i55]Zhe Xu, Kun Wei, Xu Yang, Cheng Deng:
Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons. CoRR abs/2401.13363 (2024) - [i54]Muning Wen, Cheng Deng, Jun Wang, Weinan Zhang, Ying Wen:
Entropy-Regularized Token-Level Policy Optimization for Large Language Models. CoRR abs/2402.06700 (2024) - [i53]Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie:
Label Learning Method Based on Tensor Projection. CoRR abs/2402.16544 (2024) - [i52]Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang:
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. CoRR abs/2402.17453 (2024) - [i51]Wenhui Zhao, Quanxue Gao, Guangfei Li, Cheng Deng, Ming Yang:
One-Step Multi-View Clustering Based on Transition Probability. CoRR abs/2403.01460 (2024) - [i50]Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou:
AceMap: Knowledge Discovery through Academic Graph. CoRR abs/2403.02576 (2024) - [i49]Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang:
NovelQA: A Benchmark for Long-Range Novel Question Answering. CoRR abs/2403.12766 (2024) - [i48]Jing Li, Quanxue Gao, Cheng Deng, Qianqian Wang, Ming Yang:
Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization. CoRR abs/2404.00883 (2024) - [i47]Han Lu, Fangfang Li, Quanxue Gao, Cheng Deng, Chris Ding, Qianqian Wang:
Fuzzy K-Means Clustering without Cluster Centroids. CoRR abs/2404.04940 (2024) - [i46]Yu Lei, Guoshuai Sheng, Fangfang Li, Quanxue Gao, Cheng Deng, Qin Li:
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning. CoRR abs/2404.04953 (2024) - [i45]Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang:
Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR abs/2404.18947 (2024) - [i44]Huawei Ji, Cheng Deng, Bo Xue, Zhouyang Jin, Jiaxin Ding, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing. CoRR abs/2409.10016 (2024) - [i43]Yi Xu, Bo Xue, Shuqian Sheng, Cheng Deng, Jiaxin Ding, Zanwei Shen, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Good Idea or Not, Representation of LLM Could Tell. CoRR abs/2409.13712 (2024) - [i42]Fangfang Li, Quanxue Gao, Ming Yang, Cheng Deng, Wei Xia:
Self-Supervised Graph Embedding Clustering. CoRR abs/2409.15887 (2024) - 2023
- [j91]Chenggang Duan, Xinmei Liu, Xiaomei Yang, Cheng Deng:
Knowledge complexity and team information processing: the mediating role of team learning goal orientation. J. Knowl. Manag. 27(5): 1279-1298 (2023) - [j90]Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1189-1200 (2023) - [j89]Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji:
Group Contrastive Self-Supervised Learning on Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3169-3180 (2023) - [j88]Zhe Xu, Kun Wei, Erkun Yang, Cheng Deng, Wei Liu:
Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11458-11471 (2023) - [j87]Tengjiao Li, Maosen Li, Yanhua Yang, Cheng Deng:
Frequency domain regularization for iterative adversarial attacks. Pattern Recognit. 134: 109075 (2023) - [j86]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning With Noisy Labels. IEEE Trans. Image Process. 32: 1245-1256 (2023) - [j85]Yanhua Yang, Xiaozhe Zhang, Muli Yang, Cheng Deng:
Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot Learning. IEEE Trans. Multim. 25: 280-290 (2023) - [j84]Muli Yang, Chenghao Xu, Aming Wu, Cheng Deng:
A Decomposable Causal View of Compositional Zero-Shot Learning. IEEE Trans. Multim. 25: 5892-5902 (2023) - [j83]Zhe Xu, Kun Wei, Xu Yang, Cheng Deng:
Point-Supervised Video Temporal Grounding. IEEE Trans. Multim. 25: 6121-6131 (2023) - [j82]Xu Yang, Cheng Deng, Zhiyuan Dang, Dacheng Tao:
Deep Multiview Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(1): 516-526 (2023) - [c124]Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao:
Similarity Distribution Based Membership Inference Attack on Person Re-identification. AAAI 2023: 14820-14828 - [c123]Muli Yang, Liancheng Wang, Cheng Deng, Hanwang Zhang:
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery. CVPR 2023: 3459-3468 - [c122]Aming Wu, Cheng Deng:
Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder. CVPR 2023: 23956-23965 - [c121]Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu:
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. EMNLP 2023: 915-932 - [c120]Hong Zhu, Cheng Deng, Yu Wang, Yixin Zhao:
Alarm Association Mining Model Based on Merging Strategy. ICCC 2023: 1-5 - [c119]Yukuan Min, Aming Wu, Cheng Deng:
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation. ICCV 2023: 13250-13261 - [c118]Aming Wu, Da Chen, Cheng Deng:
Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects. ICCV 2023: 13335-13345 - [c117]Henan Wang, Muli Yang, Kun Wei, Cheng Deng:
Hierarchical Prompt Learning for Compositional Zero-Shot Recognition. IJCAI 2023: 1470-1478 - [c116]Xu Yang, Yanan Gu, Kun Wei, Cheng Deng:
Exploring Safety Supervision for Continual Test-time Domain Adaptation. IJCAI 2023: 1649-1657 - [c115]Erkun Yang, Cheng Deng, Mingxia Liu:
Deep Bayesian Quantization for Supervised Neuroimage Search. MLMI@MICCAI (2) 2023: 396-406 - [c114]Maosen Li, Xurong Li, Kun Yu, Cheng Deng, Heng Huang, Feng Mao, Hui Xue, Minghao Li:
Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection. ACM Multimedia 2023: 8707-8718 - [i41]Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, Chenghu Zhou:
PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model. CoRR abs/2304.00592 (2023) - [i40]Cheng Deng, Fan Xu, Jiaxing Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang:
FMGNN: Fused Manifold Graph Neural Network. CoRR abs/2304.01081 (2023) - [i39]Cheng Deng, Jiaxin Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou:
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph. CoRR abs/2304.07242 (2023) - [i38]Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
3D Molecular Geometry Analysis with 2D Graphs. CoRR abs/2305.13315 (2023) - [i37]Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Le Zhou, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He:
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. CoRR abs/2306.05064 (2023) - [i36]Yukuan Min, Aming Wu, Cheng Deng:
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation. CoRR abs/2308.03282 (2023) - [i35]Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu:
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. CoRR abs/2311.13230 (2023) - 2022
- [j81]Jin Liu, Xiaoqing Xu, Yiqing Shi, Cheng Deng, Miaohua Shi:
RELAXNet: Residual efficient learning and attention expected fusion network for real-time semantic segmentation. Neurocomputing 474: 115-127 (2022) - [j80]Ziqi Zhang, Zeyu Li, Kun Wei, Siduo Pan, Cheng Deng:
A survey on multimodal-guided visual content synthesis. Neurocomputing 497: 110-128 (2022) - [j79]Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng, Heng Huang:
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1385-1398 (2022) - [j78]Xu Yang, Cheng Deng, Tongliang Liu, Dacheng Tao:
Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1992-2003 (2022) - [j77]Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang:
Scaling Up Generalized Kernel Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3767-3778 (2022) - [j76]Hao Wang, Cheng Deng, Tongliang Liu, Dacheng Tao:
Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9181-9194 (2022) - [j75]Cheng Deng, Jianjun Yang, Lawrence Loh, Tian Mu:
Exploring the antecedents and consequences of effectuation in NPD: the moderating role of firm size. Technol. Anal. Strateg. Manag. 34(7): 832-846 (2022) - [j74]Kun Wei, Cheng Deng, Xu Yang, Dacheng Tao:
Incremental Zero-Shot Learning. IEEE Trans. Cybern. 52(12): 13788-13799 (2022) - [j73]Xu Yang, Hao Wang, De Xie, Cheng Deng, Dacheng Tao:
Object-Agnostic Transformers for Video Referring Segmentation. IEEE Trans. Image Process. 31: 2839-2849 (2022) - [j72]Zhe Xu, Da Chen, Kun Wei, Cheng Deng, Hui Xue:
HiSA: Hierarchically Semantic Associating for Video Temporal Grounding. IEEE Trans. Image Process. 31: 5178-5188 (2022) - [j71]Jiaqi Liu, Cheng Deng, Luoyi Fu, Huan Long, Xiaoying Gan, Xinbing Wang, Guihai Chen, Jun Xu:
Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social Networks. IEEE Trans. Mob. Comput. 21(3): 971-985 (2022) - [j70]Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang:
Faster Stochastic Quasi-Newton Methods. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4388-4397 (2022) - [j69]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6103-6115 (2022) - [j68]Cheng Deng, Erhui Bian, Zhishen Ge:
Design and Realization of Stepping Motor Drive System Controlled by Single-Chip Microcomputer. Wirel. Pers. Commun. 124(4): 3703-3724 (2022) - [c113]Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang:
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. CVPR 2022: 31-40 - [c112]Aming Wu, Cheng Deng:
Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation. CVPR 2022: 837-846 - [c111]Yanan Gu, Xu Yang, Kun Wei, Cheng Deng:
Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency. CVPR 2022: 7432-7441 - [c110]Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng:
Mutual Quantization for Cross-Modal Search with Noisy Labels. CVPR 2022: 7541-7550 - [c109]Xiangyu Li, Xu Yang, Kun Wei, Cheng Deng, Muli Yang:
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning. CVPR 2022: 9316-9325 - [c108]Muli Yang, Yuehua Zhu, Jiaping Yu, Aming Wu, Cheng Deng:
Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery. CVPR 2022: 14248-14257 - [c107]Zhiyang Jia, Jihe Wang, Cheng Deng:
IIoT-based Predictive Maintenance for Oil and Gas Industry. EITCE 2022: 432-436 - [c106]Xuan Kou, Chenghao Xu, Xu Yang, Cheng Deng:
Attention-guided Contrastive Hashing for Long-tailed Image Retrieval. IJCAI 2022: 1017-1023 - [c105]Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu:
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning. NeurIPS 2022 - [c104]Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang:
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS 2022 - [i34]Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CoRR abs/2203.10329 (2022) - [i33]Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu:
MSR: Making Self-supervised learning Robust to Aggressive Augmentations. CoRR abs/2206.01999 (2022) - [i32]Xiangyu Li, Xu Yang, Kun Wei, Cheng Deng, Muli Yang:
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning. CoRR abs/2206.14475 (2022) - [i31]Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao:
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification. CoRR abs/2211.10933 (2022) - [i30]Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao:
Similarity Distribution based Membership Inference Attack on Person Re-identification. CoRR abs/2211.15918 (2022) - 2021
- [j67]Zeyu Li, Cheng Deng, Kun Wei, Wei Liu, Dacheng Tao:
Learning semantic priors for texture-realistic sketch-to-image synthesis. Neurocomputing 464: 130-140 (2021) - [j66]Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Cheng Deng, Heng Huang:
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity. J. Mach. Learn. Res. 22: 170:1-170:47 (2021) - [j65]Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang:
Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. Mach. Learn. 110(8): 2005-2033 (2021) - [j64]Yanhua Yang, Lei Wang, De Xie, Cheng Deng, Dacheng Tao:
Multi-Sentence Auxiliary Adversarial Networks for Fine-Grained Text-to-Image Synthesis. IEEE Trans. Image Process. 30: 2798-2809 (2021) - [j63]Hang Zhang, Huanhuan Cao, Xu Yang, Cheng Deng, Dacheng Tao:
Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification. IEEE Trans. Image Process. 30: 5287-5298 (2021) - [j62]Zeyu Li, Cheng Deng, Erkun Yang, Dacheng Tao:
Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks. IEEE Trans. Multim. 23: 2694-2705 (2021) - [j61]Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang:
Sparse Modal Additive Model. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2373-2387 (2021) - [j60]Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang:
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3677-3689 (2021) - [j59]Bin Gu, Zhou Zhai, Cheng Deng, Heng Huang:
Efficient Active Learning by Querying Discriminative and Representative Samples and Fully Exploiting Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4111-4122 (2021) - [c103]Yanan Gu, Cheng Deng, Kun Wei:
Class-Incremental Instance Segmentation via Multi-Teacher Networks. AAAI 2021: 1478-1486 - [c102]Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng:
Generalized Zero-Shot Learning via Disentangled Representation. AAAI 2021: 1966-1974 - [c101]Kun Wei, Cheng Deng, Xu Yang, Maosen Li:
Incremental Embedding Learning via Zero-Shot Translation. AAAI 2021: 10254-10262 - [c100]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. AAAI 2021: 10896-10904 - [c99]Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. CIKM 2021: 2598-2607 - [c98]Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou:
GAKG: A Multimodal Geoscience Academic Knowledge Graph. CIKM 2021: 4445-4454 - [c97]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Unsupervised Hyperbolic Metric Learning. CVPR 2021: 12465-12474 - [c96]Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang:
Nearest Neighbor Matching for Deep Clustering. CVPR 2021: 13693-13702 - [c95]Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan:
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. CVPR 2021: 16775-16784 - [c94]Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang:
Adversarial Attack on Deep Cross-Modal Hamming Retrieval. ICCV 2021: 2198-2207 - [c93]Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng:
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. IJCAI 2021: 1143-1149 - [c92]Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng:
Graph Debiased Contrastive Learning with Joint Representation Clustering. IJCAI 2021: 3434-3440 - [c91]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. KDD 2021: 3917-3927 - [c90]Aming Wu, Suqi Zhao, Cheng Deng, Wei Liu:
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement. NeurIPS 2021: 6353-6364 - [i29]Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. CoRR abs/2103.00958 (2021) - [i28]Aming Wu, Yahong Han, Linchao Zhu, Yi Yang, Cheng Deng:
Universal-Prototype Augmentation for Few-Shot Object Detection. CoRR abs/2103.01077 (2021) - [i27]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Doubly Contrastive Deep Clustering. CoRR abs/2103.05484 (2021) - [i26]Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng:
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. CoRR abs/2106.11841 (2021) - [i25]Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji:
Group Contrastive Self-Supervised Learning on Graphs. CoRR abs/2107.09787 (2021) - [i24]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. CoRR abs/2109.12519 (2021) - [i23]Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs. CoRR abs/2110.01717 (2021) - [i22]Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang:
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels. CoRR abs/2111.00006 (2021) - 2020
- [j58]Yuehua Zhu, Cheng Deng, Huanhuan Cao, Hao Wang:
Object and background disentanglement for unsupervised cross-domain person re-identification. Neurocomputing 403: 88-97 (2020) - [j57]Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang:
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. J. Mach. Learn. Res. 21: 190:1-190:53 (2020) - [j56]Junliang Ma, Bing Xiao, Cheng Deng:
Graph based semi-supervised classification with probabilistic nearest neighbors. Pattern Recognit. Lett. 133: 94-101 (2020) - [j55]Erkun Yang, Tongliang Liu, Cheng Deng, Dacheng Tao:
Adversarial Examples for Hamming Space Search. IEEE Trans. Cybern. 50(4): 1473-1484 (2020) - [j54]Cheng Deng, Masiqian Yong, Luciano Andres Garcia-Rodriguez, Juan Carlos Balda, Rui Li:
Passive Integration Using FMLF Technique for Integrated Boost Resonant Converters. IEEE Trans. Ind. Electron. 67(5): 3756-3766 (2020) - [j53]Yunhang Shen, Rongrong Ji, Kuiyuan Yang, Cheng Deng, Changhu Wang:
Category-Aware Spatial Constraint for Weakly Supervised Detection. IEEE Trans. Image Process. 29: 843-858 (2020) - [j52]De Xie, Cheng Deng, Chao Li, Xianglong Liu, Dacheng Tao:
Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval. IEEE Trans. Image Process. 29: 3626-3637 (2020) - [j51]Cheng Deng, Xinxun Xu, Hao Wang, Muli Yang, Dacheng Tao:
Progressive Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval. IEEE Trans. Image Process. 29: 8892-8902 (2020) - [j50]Cheng Deng, Xu Yang, Feiping Nie, Dapeng Tao:
Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking. IEEE Trans. Multim. 22(4): 885-896 (2020) - [j49]Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li:
Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. IEEE Trans. Neural Networks Learn. Syst. 31(2): 574-588 (2020) - [j48]Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao:
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2189-2201 (2020) - [j47]Kamran Ghasedi Dizaji, Hongchang Gao, Yanhua Yang, Heng Huang, Cheng Deng:
Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4610-4621 (2020) - [c89]Hao Wang, Cheng Deng, Fan Ma, Yi Yang:
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries. AAAI 2020: 12152-12159 - [c88]Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. CVPR 2020: 359-368 - [c87]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c86]Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang:
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. CVPR 2020: 6657-6666 - [c85]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji:
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. CVPR 2020: 10031-10040 - [c84]Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao:
Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR 2020: 10245-10253 - [c83]Kun Wei, Cheng Deng, Xu Yang:
Lifelong Zero-Shot Learning. IJCAI 2020: 551-557 - [c82]Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu:
Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. KDD 2020: 421-429 - [c81]Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, Wei Liu:
Adversarial Learning for Robust Deep Clustering. NeurIPS 2020 - [c80]Yuehua Zhu, Muli Yang, Cheng Deng, Wei Liu:
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies. NeurIPS 2020 - [i21]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji:
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. CoRR abs/2003.08813 (2020) - [i20]Xinxun Xu, Cheng Deng, Muli Yang, Hao Wang:
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval. CoRR abs/2003.09869 (2020) - [i19]Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. CoRR abs/2005.03837 (2020) - [i18]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR abs/2008.06233 (2020) - [i17]Yuehua Zhu, Muli Yang, Cheng Deng, Wei Liu:
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies. CoRR abs/2010.13636 (2020) - [i16]Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. CoRR abs/2011.08877 (2020) - [i15]Kun Wei, Cheng Deng, Xu Yang, Maosen Li:
Incremental Embedding Learning via Zero-Shot Translation. CoRR abs/2012.15497 (2020)
2010 – 2019
- 2019
- [j46]Qiguang Miao, Cheng Deng, Mingliang Xu, Yongjie Li:
Chinese Conference on Computer Vision 2017. Neurocomputing 328: 1-4 (2019) - [j45]Muli Yang, Cheng Deng, Feiping Nie:
Adaptive-weighting discriminative regression for multi-view classification. Pattern Recognit. 88: 236-245 (2019) - [j44]Xinyi Xu, Yanhua Yang, Cheng Deng, Feiping Nie:
Adaptive graph weighting for multi-view dimensionality reduction. Signal Process. 165: 186-196 (2019) - [j43]Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao:
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(3): 1741-1754 (2019) - [j42]Cheng Deng, Erkun Yang, Tongliang Liu, Jie Li, Wei Liu, Dacheng Tao:
Unsupervised Semantic-Preserving Adversarial Hashing for Image Search. IEEE Trans. Image Process. 28(8): 4032-4044 (2019) - [j41]Cheng Deng, Zhao Li, Xinbo Gao, Dacheng Tao:
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics. ACM Trans. Intell. Syst. Technol. 10(2): 20:1-20:20 (2019) - [c79]Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. AAAI 2019: 176-183 - [c78]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Orthogonality-Promoting Dictionary Learning via Bayesian Inference. AAAI 2019: 4472-4479 - [c77]Lei Luo, Jie Xu, Cheng Deng, Heng Huang:
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. AAAI 2019: 4480-4487 - [c76]De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao:
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification. AAAI 2019: 9030-9037 - [c75]Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao:
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. CVPR 2019: 2946-2955 - [c74]Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian:
Towards Visual Feature Translation. CVPR 2019: 3004-3013 - [c73]Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering Using Dual Autoencoder Network. CVPR 2019: 4066-4075 - [c72]Xinyi Xu, Yanhua Yang, Cheng Deng, Feng Zheng:
Deep Asymmetric Metric Learning via Rich Relationship Mining. CVPR 2019: 4076-4085 - [c71]Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang:
Balanced Self-Paced Learning for Generative Adversarial Clustering Network. CVPR 2019: 4391-4400 - [c70]Feng Zheng, Cheng Deng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang, Rongrong Ji:
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training. CVPR 2019: 8514-8522 - [c69]Shangqian Gao, Cheng Deng, Heng Huang:
Cross Domain Model Compression by Structurally Weight Sharing. CVPR 2019: 8973-8982 - [c68]Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu:
Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. ICCV 2019: 3740-3748 - [c67]Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao:
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. ICCV 2019: 3938-3947 - [c66]Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu:
Graph Convolutional Network Hashing for Cross-Modal Retrieval. IJCAI 2019: 982-988 - [c65]Feng Zheng, Cheng Deng, Heng Huang:
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. IJCAI 2019: 1032-1040 - [c64]Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji:
Hypergraph Induced Convolutional Manifold Networks. IJCAI 2019: 2670-2676 - [c63]Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng:
Zero-shot Metric Learning. IJCAI 2019: 3996-4002 - [c62]Chao Li, Shangqian Gao, Cheng Deng, De Xie, Wei Liu:
Cross-Modal Learning with Adversarial Samples. NeurIPS 2019: 10791-10801 - [i14]Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li:
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. CoRR abs/1901.07827 (2019) - [i13]De Xie, Muli Yang, Cheng Deng, Wei Liu, Dacheng Tao:
Fully-Featured Attribute Transfer. CoRR abs/1902.06258 (2019) - [i12]Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. CoRR abs/1903.02149 (2019) - [i11]De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao:
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification. CoRR abs/1903.02155 (2019) - [i10]Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao:
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. CoRR abs/1904.02449 (2019) - [i9]Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao:
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification. CoRR abs/1904.02454 (2019) - [i8]Cheng Deng, Zhao Li, Xinbo Gao, Dacheng Tao:
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics. CoRR abs/1904.02520 (2019) - [i7]Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao:
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification. CoRR abs/1904.05200 (2019) - [i6]Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao:
Shared Predictive Cross-Modal Deep Quantization. CoRR abs/1904.07488 (2019) - [i5]Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao:
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. CoRR abs/1904.08623 (2019) - [i4]Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering using Dual Autoencoder Network. CoRR abs/1904.13113 (2019) - [i3]Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao:
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. CoRR abs/1905.03465 (2019) - 2018
- [j40]Yuan Rao, Cheng Deng, Gang Zhao, Yan Qiao, Lei-yang Fu, Xing Shao, Ruchuan Wang:
Self-adaptive implicit contention window adjustment mechanism for QoS optimization in wireless sensor networks. J. Netw. Comput. Appl. 109: 36-52 (2018) - [j39]Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao:
Active multi-kernel domain adaptation for hyperspectral image classification. Pattern Recognit. 77: 306-315 (2018) - [j38]Xinxia Fan, Yanhua Yang, Cheng Deng, Jie Xu, Xinbo Gao:
Compressed multi-scale feature fusion network for single image super-resolution. Signal Process. 146: 50-60 (2018) - [j37]Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao:
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. IEEE Trans. Image Process. 27(8): 3893-3903 (2018) - [j36]Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao:
Shared Predictive Cross-Modal Deep Quantization. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5292-5303 (2018) - [c61]Jiexi Yan, Cheng Deng, Xianglong Liu:
Dictionary Learning in Optimal Metric Space. AAAI 2018: 4350-4357 - [c60]Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie:
New l2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering. AAAI 2018: 4374-4381 - [c59]Mi Feng, Cheng Deng, Evan M. Peck, Lane Harrison:
The Effects of Adding Search Functionality to Interactive Visualizations on the Web. CHI 2018: 137 - [c58]Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang:
Unsupervised Deep Generative Adversarial Hashing Network. CVPR 2018: 3664-3673 - [c57]Chao Li, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, Dacheng Tao:
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval. CVPR 2018: 4242-4251 - [c56]Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang:
Direct Shape Regression Networks for End-to-End Face Alignment. CVPR 2018: 5040-5049 - [c55]Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. ICML 2018: 1807-1816 - [c54]Pu Chen, Xinyi Xu, Cheng Deng:
Deep View-Aware Metric Learning for Person Re-Identification. IJCAI 2018: 620-626 - [c53]Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao:
Semantic Structure-based Unsupervised Deep Hashing. IJCAI 2018: 1064-1070 - [c52]Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng:
Complementary Binary Quantization for Joint Multiple Indexing. IJCAI 2018: 2114-2120 - [c51]Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao:
Deep Joint Semantic-Embedding Hashing. IJCAI 2018: 2397-2403 - [c50]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Multi-Level Metric Learning via Smoothed Wasserstein Distance. IJCAI 2018: 2919-2925 - [c49]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
New Robust Metric Learning Model Using Maximum Correntropy Criterion. KDD 2018: 2555-2564 - [c48]Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Bilevel Distance Metric Learning for Robust Image Recognition. NeurIPS 2018: 4202-4211 - [i2]Chao Li, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, Dacheng Tao:
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval. CoRR abs/1804.01223 (2018) - [i1]Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian:
Towards Visual Feature Translation. CoRR abs/1812.00573 (2018) - 2017
- [j35]Junge Shen, Enrang Zheng, Zhiyong Cheng, Cheng Deng:
Assisting Attraction Classification by Harvesting Web Data. IEEE Access 5: 1600-1608 (2017) - [j34]Shiguang Shan, Deng Cai, Cheng Deng, Hong Chang:
Special issue on selected and extended papers from the 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015). Neurocomputing 269: 1-2 (2017) - [j33]Juan Zou, Jinhua Zheng, Ruimin Shen, Cheng Deng:
A novel metric based on changes in pareto domination ratio for objective reduction of many-objective optimization problems. J. Exp. Theor. Artif. Intell. 29(5): 983-994 (2017) - [j32]Hao Wang, Yanhua Yang, Erkun Yang, Cheng Deng:
Exploring hybrid spatio-temporal convolutional networks for human action recognition. Multim. Tools Appl. 76(13): 15065-15081 (2017) - [j31]Nan Zhu, Cheng Deng, Xinbo Gao:
Image sharpening detection based on multiresolution overshoot artifact analysis. Multim. Tools Appl. 76(15): 16563-16580 (2017) - [j30]Dapeng Tao, Jun Cheng, Xinbo Gao, Xuelong Li, Cheng Deng:
Robust Sparse Coding for Mobile Image Labeling on the Cloud. IEEE Trans. Circuits Syst. Video Technol. 27(1): 62-72 (2017) - [j29]Jingjing Liu, Shaoting Zhang, Wei Liu, Cheng Deng, Yuanjie Zheng, Dimitris N. Metaxas:
Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2450-2460 (2017) - [j28]Yanhua Yang, Cheng Deng, Dapeng Tao, Shaoting Zhang, Wei Liu, Xinbo Gao:
Latent Max-Margin Multitask Learning With Skelets for 3-D Action Recognition. IEEE Trans. Cybern. 47(2): 439-448 (2017) - [j27]Xianglong Liu, Zhujin Li, Cheng Deng, Dacheng Tao:
Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search. IEEE Trans. Image Process. 26(11): 5324-5336 (2017) - [j26]Yanhua Yang, Cheng Deng, Shangqian Gao, Wei Liu, Dapeng Tao, Xinbo Gao:
Discriminative Multi-instance Multitask Learning for 3D Action Recognition. IEEE Trans. Multim. 19(3): 519-529 (2017) - [j25]Mi Feng, Cheng Deng, Evan M. Peck, Lane Harrison:
HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History. IEEE Trans. Vis. Comput. Graph. 23(1): 351-360 (2017) - [c47]Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao:
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. AAAI 2017: 1618-1625 - [c46]Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li:
Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. AAAI 2017: 4183-4189 - [c45]Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng, Weidong Cai, Heng Huang:
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. ICCV 2017: 5747-5756 - [c44]Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang:
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning. IJCAI 2017: 1958-1964 - [c43]Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang:
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI 2017: 3154-3160 - [c42]Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang:
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. IJCAI 2017: 3880-3886 - [c41]Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng:
How Unlabeled Web Videos Help Complex Event Detection? IJCAI 2017: 4040-4046 - [c40]Hong Chen, Xiaoqian Wang, Cheng Deng, Heng Huang:
Group Sparse Additive Machine. NIPS 2017: 198-208 - [c39]Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang:
Learning A Structured Optimal Bipartite Graph for Co-Clustering. NIPS 2017: 4129-4138 - 2016
- [j24]Yuan Rao, Yiming Cao, Cheng Deng, Zhao-Hui Jiang, Jun Zhu, Lei-yang Fu, Ruchuan Wang:
Performance analysis and simulation verification of S-MAC for wireless sensor networks. Comput. Electr. Eng. 56: 468-484 (2016) - [j23]Junge Shen, Cheng Deng, Xinbo Gao:
Attraction recommendation: Towards personalized tourism via collective intelligence. Neurocomputing 173: 789-798 (2016) - [j22]Nan Zhu, Cheng Deng, Xinbo Gao:
A learning-to-rank approach for image scaling factor estimation. Neurocomputing 204: 33-40 (2016) - [j21]Yanhua Yang, Ruishan Liu, Cheng Deng, Xinbo Gao:
Multi-task human action recognition via exploring super-category. Signal Process. 124: 36-44 (2016) - [j20]Xianglong Liu, Bowen Du, Cheng Deng, Ming Liu, Bo Lang:
Structure Sensitive Hashing With Adaptive Product Quantization. IEEE Trans. Cybern. 46(10): 2252-2264 (2016) - [j19]Xianglong Liu, Cheng Deng, Bo Lang, Dacheng Tao, Xuelong Li:
Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search. IEEE Trans. Image Process. 25(2): 907-919 (2016) - [j18]Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao:
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. IEEE Trans. Image Process. 25(10): 4514-4524 (2016) - [j17]Cheng Deng, Xu Tang, Junchi Yan, Wei Liu, Xinbo Gao:
Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval. IEEE Trans. Multim. 18(2): 208-218 (2016) - [j16]Cheng Deng, Jie Xu, Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li:
Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2472-2485 (2016) - [c38]Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang:
Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. AAAI 2016: 1324-1330 - [c37]Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang:
New l1-Norm Relaxations and Optimizations for Graph Clustering. AAAI 2016: 1962-1968 - [c36]Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao:
Multilinear Hyperplane Hashing. CVPR 2016: 5119-5127 - [c35]Yihan Liu, Zhaojia Chen, Cheng Deng, Xinbo Gao:
Joint Coupled-Hashing Representation for Cross-Modal Retrieval. ICIMCS 2016: 35-38 - [c34]Zeyu Li, Chao Li, Cheng Deng, Jie Li:
Hyperspectral image super-resolution using sparse spectral unmixing and low-rank constraints. IGARSS 2016: 7224-7227 - [c33]Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao:
Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval. IJCAI 2016: 1860-1866 - [c32]Junchi Yan, Xu-Cheng Yin, Weiyao Lin, Cheng Deng, Hongyuan Zha, Xiaokang Yang:
A Short Survey of Recent Advances in Graph Matching. ICMR 2016: 167-174 - 2015
- [j15]Cheng Deng, Huiru Deng, Xianglong Liu, Yuan Yuan:
Adaptive multi-bit quantization for hashing. Neurocomputing 151: 319-326 (2015) - [j14]Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li:
Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. Signal Process. 112: 137-145 (2015) - [j13]Juan Zou, Jinhua Zheng, Cheng Deng, Ruimin Shen:
An evaluation of non-redundant objective sets based on the spatial similarity ratio. Soft Comput. 19(8): 2275-2286 (2015) - [c31]Zhouyu Fu, Feifei Pan, Cheng Deng, Wei Liu:
Optimizing Bag Features for Multiple-Instance Retrieval. AAAI 2015: 2596-2602 - [c30]Songhang Ye, Cheng Deng, Jie Xu, Xinbo Gao:
Coupled fisher discrimination dictionary learning for single image super-resolution. ICASSP 2015: 1196-1200 - [c29]Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang:
Multi-View Complementary Hash Tables for Nearest Neighbor Search. ICCV 2015: 1107-1115 - [c28]Wenjun Wu, Yanhua Yang, Ruishan Liu, Cheng Deng:
Joint-based multi-task sparse learning for human action recognition. ICIMCS 2015: 43:1-43:4 - [c27]Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao:
Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information. IJCAI 2015: 3438-3444 - [c26]Xu Tang, Yanhua Yang, Cheng Deng, Xinbo Gao:
Coupled Dictionary Learning with Common Label Alignment for Cross-Modal Retrieval. IScIDE (1) 2015: 154-162 - [c25]Xu Tang, Cheng Deng, Xinbo Gao:
Discriminative Latent Feature Space Learning for Cross-Modal Retrieval. ICMR 2015: 507-510 - [c24]Ruishan Liu, Yanhua Yang, Cheng Deng:
Recognizing Human Actions by Sharing Knowledge in Implicit Action Groups. PCM (1) 2015: 644-652 - 2014
- [j12]Cheng Deng, Rongrong Ji, Dacheng Tao, Xinbo Gao, Xuelong Li:
Weakly Supervised Multi-Graph Learning for Robust Image Reranking. IEEE Trans. Multim. 16(3): 785-795 (2014) - [c23]A. S. Ismail, Xinbo Gao, Cheng Deng:
SAR image classification based on texture feature fusion. ChinaSIP 2014: 153-156 - [c22]Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang:
Collaborative Hashing. CVPR 2014: 2147-2154 - [c21]Jie Xu, Cheng Deng, Xinbo Gao, Dacheng Tao, Xuelong Li:
Image super-resolution using multi-layer support vector regression. ICASSP 2014: 5799-5803 - [c20]Jie Xu, Cheng Deng, Xianglong Liu, Jie Li:
Image Super-resolution Based on Sparse Representation With Joint Constraints. ICIMCS 2014: 381 - [c19]Liang Chen, Ming Yang, Cheng Deng, Hujun Yin:
Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification. IDEAL 2014: 247-254 - [c18]Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang:
Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search. ACM Multimedia 2014: 1005-1008 - [c17]Nan Zhu, Xinbo Gao, Cheng Deng:
Image scaling factor estimation based on normalized energy density and learning to rank. SPAC 2014: 197-202 - 2013
- [j11]Feng Ji, Cheng Deng, Lingling An, Dongyu Huang:
Desynchronization attacks resilient image watermarking scheme based on global restoration and local embedding. Neurocomputing 106: 42-50 (2013) - [c16]Cheng Deng, Rongrong Ji, Wei Liu, Dacheng Tao, Xinbo Gao:
Visual Reranking through Weakly Supervised Multi-graph Learning. ICCV 2013: 2600-2607 - [c15]Fang Xie, Cheng Deng, Jie Xu, Jifei Yu, Jie Li:
Image super resolution using Gaussian Process Regression with patch clustering. ICIMCS 2013: 109-112 - [c14]Haiyan Peng, Cheng Deng, Lingling An, Xinbo Gao, Dacheng Tao:
Learning to multimodal hash for robust video copy detection. ICIP 2013: 4482-4486 - [c13]Jialong Wang, Cheng Deng, Wei Liu, Rongrong Ji, Xiangyu Chen, Xinbo Gao:
Query-dependent visual dictionary adaptation for image reranking. ACM Multimedia 2013: 769-772 - [c12]Hongli Yang, Kai Ma, Cheng Deng, Husheng Liao, Jun Yan, Jian Zhang:
Towards Conformance Testing of Choreography Based on Scenario. TASE 2013: 59-62 - 2012
- [j10]Lingling An, Xinbo Gao, Yuan Yuan, Dacheng Tao, Cheng Deng, Feng Ji:
Content-adaptive reliable robust lossless data embedding. Neurocomputing 79: 1-11 (2012) - [j9]Lingling An, Xinbo Gao, Xuelong Li, Dacheng Tao, Cheng Deng, Jie Li:
Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking. IEEE Trans. Image Process. 21(8): 3598-3611 (2012) - [c11]Cheng Deng, Yifan Zhang, Xinbo Gao:
Robust video fingerprinting using local spatio-temporal features. ICNC 2012: 350-353 - 2011
- [j8]Feng Ji, Dongyu Huang, Cheng Deng, Yifan Zhang, Wen Miao:
Robust curvelet-domain image watermarking based on feature matching. Int. J. Comput. Math. 88(18): 3931-3941 (2011) - [j7]Cheng Deng, Jie Li, Yifan Zhang, Dongyu Huang, Lingling An:
An Image Quality Metric Based on Biologically Inspired Feature Model. Int. J. Image Graph. 11(2): 265-279 (2011) - [c10]Wen Zhang, Ping Wang, Mengfu Zhu, Cheng Deng, Ping Chen:
The Design of Dissolved Oxygen Detection System Based on C8051F020. ICDMA 2011: 1253-1255 - [p1]Cheng Deng, Xinbo Gao, Xuelong Li, Dacheng Tao:
Robust Image Watermarking Based on Feature Regions. Multimedia Analysis, Processing and Communications 2011: 111-137 - 2010
- [j6]Xinbo Gao, Cheng Deng, Xuelong Li, Dacheng Tao:
Local Feature Based Geometric-Resistant Image Information Hiding. Cogn. Comput. 2(2): 68-77 (2010) - [j5]Cheng Deng, Xinbo Gao, Hao Peng, Lingling An, Feng Ji:
Histogram modification based robust image watermarking approach. Int. J. Multim. Intell. Secur. 1(2): 153-168 (2010) - [j4]Cheng Deng, Xinbo Gao, Xuelong Li, Dacheng Tao:
Local histogram based geometric invariant image watermarking. Signal Process. 90(12): 3256-3264 (2010) - [j3]Xinbo Gao, Cheng Deng, Xuelong Li, Dacheng Tao:
Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions. IEEE Trans. Syst. Man Cybern. Part C 40(3): 278-286 (2010) - [c9]Lingling An, Xinbo Gao, Cheng Deng:
Reliable embedding for robust reversible watermarking. ICIMCS 2010: 57-60 - [c8]Juan Zou, Jinhua Zheng, Jingye Zhou, Cheng Deng:
A study on feature extraction of parallel immune genetic clustering algorithm based on clustering center optimization. ICNC 2010: 2264-2266 - [c7]Lingling An, Xinbo Gao, Cheng Deng, Feng Ji:
Robust lossless data hiding: Analysis and evaluation. HPCS 2010: 512-516 - [c6]Cheng Deng, Dacheng Tao:
Color image quality assessment with biologically inspired feature and machine learning. VCIP 2010: 77440Y
2000 – 2009
- 2009
- [j2]Cheng Deng, Xinbo Gao, Xuelong Li, Dacheng Tao:
A local Tchebichef moments-based robust image watermarking. Signal Process. 89(8): 1531-1539 (2009) - [c5]Cheng Deng, Jie Li, Meng Jia, Xinbo Gao:
Sinusoidal Signals Pattern Based Robust Video Watermarking in the 3D-CWT Domain. IAS 2009: 96-99 - [c4]Lingling An, Xinbo Gao, Cheng Deng, Feng Ji:
Reversible Watermarking Based on Statistical Quantity Histogram. PCM 2009: 1300-1305 - 2008
- [c3]Cheng Deng, Xinbo Gao, Xuelong Li, Dacheng Tao:
Invariant Image Watermarking Based on Local Feature Regions. CW 2008: 6-10 - [c2]Cheng Deng, Xinbo Gao, Dacheng Tao, Xuelong Li:
Geometrically invariant watermarking using affine covariant regions. ICIP 2008: 413-416 - [c1]Yougui Guo, Jianlin Zhu, Cheng Deng:
Three Modulation Modes of SVM for AC-AC Matrix Converter. RAM 2008: 382-386 - 2007
- [j1]Guoliang Huang, Shukuan Xu, Zhu Jiang, Cheng Deng, Zhonghua Dong, Yang Yang, Xiaoyong Yang, Xianhua Wang, Guofan Jin:
Development of a Confocal Optical System Design for Molecular Imaging Applications of Biochip. Int. J. Biomed. Imaging 2007: 79710:1-79710:9 (2007)
Coauthor Index
[j110] [j94] [c129] [j86] [c114] [j79] [j77] [j70] [j69] [c113] [c104] [i34] [j66] [j65] [j61] [j60] [j59] [c100] [c99] [c97] [c96] [c94] [c91] [i29] [i27] [i24] [i22] [j57] [j47] [c87] [c86] [i18] [c78] [c77] [c71] [c69] [c65] [c58] [c56] [c55] [c50] [c49] [c48] [c45] [c44] [c43] [c42] [c40] [c39] [c38] [c37]
[j107] [j100] [j95] [j93] [j82] [j78] [j76] [j74] [j73] [j67] [j64] [j63] [j62] [j55] [j52] [j51] [j48] [c84] [j43] [j42] [j41] [c75] [c67] [i13] [i10] [i9] [i8] [i7] [i6] [i5] [i3] [j39] [j37] [j36] [c57] [c53] [i2] [j27] [c47] [j19] [j18] [j16] [c36] [c27] [j12] [c21] [c16] [c14] [j10] [j9] [p1] [j6] [j4] [j3] [c6] [j2] [c3] [c2]
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