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2020 – today
- 2024
[j184]Shuo Feng
, Jacky Keung, Yan Xiao, Peichang Zhang, Xiao Yu, Xiaochun Cao:
Improving the undersampling technique by optimizing the termination condition for software defect prediction. Expert Syst. Appl. 235: 121084 (2024)- [j183]Wenqi Ren, Senyou Deng, Kaihao Zhang, Fenglong Song, Xiaochun Cao, Ming-Hsuan Yang:
Fast Ultra High-Definition Video Deblurring via Multi-scale Separable Network. Int. J. Comput. Vis. 132(5): 1817-1834 (2024) - [j182]Yuning Cui, Wenqi Ren, Xiaochun Cao, Alois Knoll:
Image Restoration via Frequency Selection. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1093-1108 (2024) - [j181]Hua Zhang, Xiaohong Li, Xiaochun Cao, Hassan Foroosh:
Multiple Adverse Weather Conditions Adaptation for Object Detection via Causal Intervention. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1742-1756 (2024) - [j180]Jun Luo, Yunfeng Nie, Wenqi Ren, Xiaochun Cao, Ming-Hsuan Yang:
Correcting Optical Aberration via Depth-Aware Point Spread Functions. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5541-5555 (2024) - [j179]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6367-6383 (2024) - [j178]Shuren Qi, Yushu Zhang, Chao Wang, Tao Xiang, Xiaochun Cao, Yong Xiang:
Representing Noisy Image Without Denoising. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6713-6730 (2024) - [j177]Jingfan Tan, Xiaoxu Chen, Tao Wang, Kaihao Zhang, Wenhan Luo, Xiaochun Cao:
Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformer. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4914-4927 (2024) - [j176]Junlong Mao, Huiyi Tang, Shanxiang Lyu, Zhengchun Zhou, Xiaochun Cao:
Content-Aware Quantization Index Modulation: Leveraging Data Statistics for Enhanced Image Watermarking. IEEE Trans. Inf. Forensics Secur. 19: 1935-1947 (2024) - [j175]Xiaojun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao:
Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks. IEEE Trans. Inf. Forensics Secur. 19: 4547-4559 (2024) - [j174]Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao:
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. 19: 4560-4571 (2024) - [j173]Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao:
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. IEEE Trans. Inf. Forensics Secur. 19: 8125-8139 (2024) - [j172]Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu:
Texture Re-Scalable Universal Adversarial Perturbation. IEEE Trans. Inf. Forensics Secur. 19: 8291-8305 (2024) - [j171]Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr:
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [j170]Bo Peng, Guoting Lin, Jianjun Lei, Tianyi Qin, Xiaochun Cao, Nam Ling:
Contrastive Multi-View Learning for 3D Shape Clustering. IEEE Trans. Multim. 26: 6262-6272 (2024) - [j169]Yushu Zhang, Jiahao Zhu, Mingfu Xue, Xinpeng Zhang, Xiaochun Cao:
Adaptive 3D Mesh Steganography Based on Feature-Preserving Distortion. IEEE Trans. Vis. Comput. Graph. 30(8): 5299-5312 (2024) - [c213]Wenmin Huang, Weiqi Luo, Jiwu Huang, Xiaochun Cao:
SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing. AAAI 2024: 2374-2381 - [c212]Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, Xiaochun Cao:
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping. AAAI 2024: 3441-3449 - [c211]Jiangang Wang, Yuning Cui, Yawen Li, Wenqi Ren, Xiaochun Cao:
Omnidirectional Image Super-resolution via Bi-projection Fusion. AAAI 2024: 5454-5462 - [c210]Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024: 19893-19901 - [c209]Peng Jin, Ryuichi Takanobu, Wancai Zhang, Xiaochun Cao, Li Yuan:
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding. CVPR 2024: 13700-13710 - [c208]Shangquan Sun, Wenqi Ren, Jingzhi Li, Rui Wang, Xiaochun Cao:
Logit Standardization in Knowledge Distillation. CVPR 2024: 15731-15740 - [c207]Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang:
Improving Graph Contrastive Learning via Adaptive Positive Sampling. CVPR 2024: 23179-23187 - [c206]Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao:
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. CVPR 2024: 24326-24335 - [c205]Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang:
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CVPR 2024: 24645-24654 - [c204]Haodi Wang, Xiaojun Jia, Xiaochun Cao:
EAT-Face: Emotion-Controllable Audio-Driven Talking Face Generation via Diffusion Model. FG 2024: 1-10 - [c203]Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao:
Less is More: Fewer Interpretable Region via Submodular Subset Selection. ICLR 2024 - [c202]Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao:
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. ICLR 2024 - [c201]Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang:
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. ICML 2024 - [c200]Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang:
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. ICML 2024 - [c199]Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo:
GAUSS: GrAph-customized Universal Self-Supervised Learning. WWW 2024: 582-593 - [c198]Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang:
Graph Contrastive Learning Reimagined: Exploring Universality. WWW 2024: 641-651 - [i121]Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-shot Learning Suffer from Backdoor Attacks? CoRR abs/2401.01377 (2024) - [i120]Hao Li, Wei Wang, Cong Wang, Zhigang Luo, Xinwang Liu, Kenli Li, Xiaochun Cao:
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection. CoRR abs/2402.01304 (2024) - [i119]Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu, Xiaochun Cao, Wenjian Yu:
Cheating Suffix: Targeted Attack to Text-To-Image Diffusion Models with Multi-Modal Priors. CoRR abs/2402.01369 (2024) - [i118]Yichen Shi, Yuhao Gao, Yingxin Lai, Hongyang Wang, Jun Feng, Lei He, Jun Wan, Changsheng Chen, Zitong Yu, Xiaochun Cao:
SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models. CoRR abs/2402.04178 (2024) - [i117]Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao:
Less is More: Fewer Interpretable Region via Submodular Subset Selection. CoRR abs/2402.09164 (2024) - [i116]Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao:
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. CoRR abs/2402.11473 (2024) - [i115]Jiawei Liang, Siyuan Liang, Man Luo, Aishan Liu, Dongchen Han, Ee-Chien Chang, Xiaochun Cao:
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models. CoRR abs/2402.13851 (2024) - [i114]Shuren Qi, Yushu Zhang, Chao Wang, Zhihua Xia, Jian Weng, Xiaochun Cao:
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales. CoRR abs/2402.15430 (2024) - [i113]Shangquan Sun, Wenqi Ren, Jingzhi Li, Rui Wang, Xiaochun Cao:
Logit Standardization in Knowledge Distillation. CoRR abs/2403.01427 (2024) - [i112]Qilang Ye, Zitong Yu, Rui Shao, Xinyu Xie, Philip Torr, Xiaochun Cao:
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios. CoRR abs/2403.04640 (2024) - [i111]Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao:
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. CoRR abs/2403.05247 (2024) - [i110]Jingyun Xue, Tao Wang, Jun Wang, Kaihao Zhang, Wenhan Luo, Wenqi Ren, Zikun Liu, Hyunhee Park, Xiaochun Cao:
Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration. CoRR abs/2403.05906 (2024) - [i109]Cong Wang, Jinshan Pan, Yeying Jin, Liyan Wang, Wei Wang, Gang Fu, Wenqi Ren, Xiaochun Cao:
How Powerful Potential of Attention on Image Restoration? CoRR abs/2403.10336 (2024) - [i108]Siyuan Liang, Kuanrong Liu, Jiajun Gong, Jiawei Liang, Yuan Xun, Ee-Chien Chang, Xiaochun Cao:
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning. CoRR abs/2403.16257 (2024) - [i107]Siyuan Liang, Wei Wang, Ruoyu Chen, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, Dacheng Tao:
Object Detectors in the Open Environment: Challenges, Solutions, and Outlook. CoRR abs/2403.16271 (2024) - [i106]Shangquan Sun, Wenqi Ren, Jingyang Peng, Fenglong Song, Xiaochun Cao:
DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement. CoRR abs/2404.03327 (2024) - [i105]Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang:
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. CoRR abs/2405.07780 (2024) - [i104]Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang:
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. CoRR abs/2405.09782 (2024) - [i103]Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin:
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models. CoRR abs/2405.21018 (2024) - [i102]Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu:
Texture Re-scalable Universal Adversarial Perturbation. CoRR abs/2406.06089 (2024) - [i101]Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Ee-Chien Chang, Xiaochun Cao:
Revisiting Backdoor Attacks against Large Vision-Language Models. CoRR abs/2406.18844 (2024) - [i100]Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang:
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. CoRR abs/2407.01916 (2024) - [i99]Fengchuang Xing, Mingjie Li, Yuan-Gen Wang, Guopu Zhu, Xiaochun Cao:
CLIPVQA:Video Quality Assessment via CLIP. CoRR abs/2407.04928 (2024) - [i98]Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang:
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification. CoRR abs/2407.06709 (2024) - [i97]Shangquan Sun, Wenqi Ren, Xinwei Gao, Rui Wang, Xiaochun Cao:
Restoring Images in Adverse Weather Conditions via Histogram Transformer. CoRR abs/2407.10172 (2024) - [i96]Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. CoRR abs/2407.16307 (2024) - [i95]Junyan Wu, Wei Lu, Xiangyang Luo, Rui Yang, Qian Wang, Xiaochun Cao:
Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization. CoRR abs/2407.16554 (2024) - [i94]Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. CoRR abs/2408.07666 (2024) - [i93]Siyuan Yao, Hao Sun, Tian-Zhu Xiang, Xiao Wang, Xiaochun Cao:
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection. CoRR abs/2408.15020 (2024) - 2023
- [j168]Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao:
A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation. ACM Comput. Surv. 55(2): 1:1-1:35 (2023) - [j167]Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1017-1035 (2023) - [j166]Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang:
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4090-4108 (2023) - [j165]Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5053-5069 (2023) - [j164]Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao:
A Principled Design of Image Representation: Towards Forensic Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5337-5354 (2023) - [j163]Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5970-5987 (2023) - [j162]Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao, Qingming Huang:
Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7668-7685 (2023) - [j161]Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Two-Way Partial AUC With an End-to-End Framework. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10228-10246 (2023) - [j160]Xiao Dong, Xunlin Zhan, Yunchao Wei, Xiaoyong Wei, Yaowei Wang, Minlong Lu, Xiaochun Cao, Xiaodan Liang:
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-Level Product Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13117-13133 (2023) - [j159]Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang:
AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14161-14174 (2023) - [j158]Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, Qingming Huang:
Positive-Unlabeled Learning With Label Distribution Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15345-15363 (2023) - [j157]Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15494-15511 (2023) - [j156]Shengdong Zhang, Wenqi Ren, Xin Tan, Zhi-Jie Wang, Yong Liu, Jingang Zhang, Xiaoqin Zhang, Xiaochun Cao:
Semantic-Aware Dehazing Network With Adaptive Feature Fusion. IEEE Trans. Cybern. 53(1): 454-467 (2023) - [j155]Jianjun Lei, Bingzheng Liu, Bo Peng, Xiaochun Cao, Qingming Huang, Nam Ling:
Deep Gradual-Conversion and Cycle Network for Single-View Synthesis. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1665-1675 (2023) - [j154]Yikun Xu, Pengwen Dai, Zekun Li, Hongjun Wang, Xiaochun Cao:
The Best Protection is Attack: Fooling Scene Text Recognition With Minimal Pixels. IEEE Trans. Inf. Forensics Secur. 18: 1580-1595 (2023) - [j153]Wenyuan Yang, Xiaoyu Zhou, Zhikai Chen, Bofei Guo, Zhongjie Ba, Zhihua Xia, Xiaochun Cao, Kui Ren:
AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake. IEEE Trans. Inf. Forensics Secur. 18: 2015-2029 (2023) - [j152]Yushu Zhang, Xi Ye, Xiangli Xiao, Tao Xiang, Hongwei Li, Xiaochun Cao:
A Reversible Framework for Efficient and Secure Visual Privacy Protection. IEEE Trans. Inf. Forensics Secur. 18: 3334-3349 (2023) - [j151]Jingzhi Li, Hua Zhang, Siyuan Liang, Pengwen Dai, Xiaochun Cao:
Privacy-Enhancing Face Obfuscation Guided by Semantic-Aware Attribution Maps. IEEE Trans. Inf. Forensics Secur. 18: 3632-3646 (2023) - [j150]Jun Luo, Wenqi Ren, Xinwei Gao, Xiaochun Cao:
Multi-Exposure Image Fusion via Deformable Self-Attention. IEEE Trans. Image Process. 32: 1529-1540 (2023) - [j149]Zhitao Zeng, Pengwen Dai, Xuan Zhang, Lei Zhang, Xiaochun Cao:
Cognition Guided Human-Object Relationship Detection. IEEE Trans. Image Process. 32: 2468-2480 (2023) - [j148]Shangquan Sun, Wenqi Ren, Jingzhi Li, Kaihao Zhang, Meiyu Liang, Xiaochun Cao:
Event-Aware Video Deraining via Multi-Patch Progressive Learning. IEEE Trans. Image Process. 32: 3040-3053 (2023) - [j147]Sixuan Liu, Jingzhi Li, Hua Zhang, Long Xu, Xiaochun Cao:
Prediction With Visual Evidence: Sketch Classification Explanation via Stroke-Level Attributions. IEEE Trans. Image Process. 32: 4393-4406 (2023) - [j146]Sanyi Zhang, Xiaochun Cao, Rui Wang, Guo-Jun Qi, Jie Zhou:
Exploring the Robustness of Human Parsers Toward Common Corruptions. IEEE Trans. Image Process. 32: 5394-5407 (2023) - [j145]Kaige Li, Qichuan Geng, Maoxian Wan, Xiaochun Cao, Zhong Zhou:
Context and Spatial Feature Calibration for Real-Time Semantic Segmentation. IEEE Trans. Image Process. 32: 5465-5477 (2023) - [j144]Yushu Zhang, Wentao Zhou, Ruoyu Zhao, Xinpeng Zhang, Xiaochun Cao:
F-TPE: Flexible Thumbnail-Preserving Encryption Based on Multi-Pixel Sum-Preserving Encryption. IEEE Trans. Multim. 25: 5877-5891 (2023) - [j143]Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, Licheng Jiao:
Adversarial Multiview Clustering Networks With Adaptive Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7635-7647 (2023) - [j142]Xiangli Xiao, Yushu Zhang, Youwen Zhu, Pengfei Hu, Xiaochun Cao:
FingerChain: Copyrighted Multi-Owner Media Sharing by Introducing Asymmetric Fingerprinting Into Blockchain. IEEE Trans. Netw. Serv. Manag. 20(3): 2869-2885 (2023) - [j141]Ruoyu Chen, Jingzhi Li, Hua Zhang, Changchong Sheng, Li Liu, Xiaochun Cao:
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations. ACM Trans. Multim. Comput. Commun. Appl. 19(6): 220:1-220:22 (2023) - [j140]Xiangli Xiao, Yushu Zhang, Xuewen Dong, Liangmin Wang, Yong Xiang, Xiaochun Cao:
Fair Outsourcing Paid in Fiat Money Using Blockchain. IEEE Trans. Serv. Comput. 16(3): 1860-1873 (2023) - [c197]Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao:
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization. AAAI 2023: 764-772 - [c196]Yukun Zhang, Chuan Wang, Sanyi Zhang, Xiaochun Cao:
A Database for Multi-Modal Short Video Quality Assessment. ICASSP 2023: 1-5 - [c195]Aiping Zhang, Wenqi Ren, Yi Liu, Xiaochun Cao:
Lightweight Image Super-Resolution with Superpixel Token Interaction. ICCV 2023: 12682-12691 - [c194]Yuning Cui, Wenqi Ren, Xiaochun Cao, Alois Knoll:
Focal Network for Image Restoration. ICCV 2023: 12955-12965 - [c193]Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang:
Graph Reciprocal Neural Networks by Abstracting Node as Attribute. ICDM 2023: 1463-1468 - [c192]Yuning Cui, Yi Tao, Zhenshan Bing, Wenqi Ren, Xinwei Gao, Xiaochun Cao, Kai Huang, Alois Knoll:
Selective Frequency Network for Image Restoration. ICLR 2023 - [c191]Yuning Cui, Wenqi Ren, Sining Yang, Xiaochun Cao, Alois Knoll:
IRNeXt: Rethinking Convolutional Network Design for Image Restoration. ICML 2023: 6545-6564 - [c190]Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao:
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity. IJCAI 2023: 3550-3558 - [c189]Bing Han, Jianshu Li, Wenqi Ren, Man Luo, Jian Liu, Xiaochun Cao:
SIGMA-DF: Single-Side Guided Meta-Learning for Deepfake Detection. ICMR 2023: 153-161 - [c188]Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang:
Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs. ACM Multimedia 2023: 481-489 - [c187]Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao:
Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation. ACM Multimedia 2023: 768-778 - [c186]Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang:
Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing. ACM Multimedia 2023: 2955-2963 - [c185]Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao, Qingming Huang:
PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. ACM Multimedia 2023: 3489-3497 - [c184]Jiarui Yang, Chuan Wang, Zeming Liu, Jiahong Wu, Dongsheng Wang, Liang Yang, Xiaochun Cao:
Focusing on Flexible Masks: A Novel Framework for Panoptic Scene Graph Generation with Relation Constraints. ACM Multimedia 2023: 4209-4218 - [c183]Yulu Wang, Pengwen Dai, Xiaojun Jia, Zhitao Zeng, Rui Li, Xiaochun Cao:
Hi-SIGIR: Hierachical Semantic-Guided Image-to-image Retrieval via Scene Graph. ACM Multimedia 2023: 6400-6409 - [c182]Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. NeurIPS 2023 - [c181]Wenqiang Wang, Chongyang Du, Tao Wang, Kaihao Zhang, Wenhan Luo, Lin Ma, Wei Liu, Xiaochun Cao:
Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models. NeurIPS 2023 - [c180]Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. NeurIPS 2023 - [c179]Liang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Xiaochun Cao, Chuan Wang:
Self-supervised Graph Neural Networks via Low-Rank Decomposition. NeurIPS 2023 - [c178]Liang Yang,