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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
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