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ORCIDChang Xu 0002
Person information
- affiliation: University of Sydney, School of Information Technologies, UBTECH Sydney Artificial Intelligence Centre, NSW, Australia
- affiliation (former): Peking University, Beijing, China
Other persons with the same name
- Chang Xu — disambiguation page
- Chang Xu 0001
![[0000-0002-6299-4704]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6299-4704")
— Nanjing University, Department of Computer Science and Technology / State Key Laboratory for Novel Software Technology, China (and 1 more) - Chang Xu 0003 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Chang Xu 0004 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Chang Xu 0005 — IBM China Research Labs (and 1 more)
- Chang Xu 0006 — Purdue University
- Chang Xu 0007 — Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, China
- Chang Xu 0008 — Microsoft Research Asia, Beijing, China (and 1 more)
- Chang Xu 0009 — QIAGEN, Frederick , MD, USA (and 1 more)
- Chang Xu 0010 — Zhejiang University of Water Resources and Electric Power, School of Geomatics and Municipal Engineering, Hangzhou, China (and 1 more)
- Chang Xu 0011 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China
- Chang Xu 0012 — University of Virginia, School of Engineering and Applied Science, Charlottesville, VA, USA
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2020 – today
- 2023
[j47]Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu:
Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7595-7610 (2023)- [j46]Dalu Guo, Chang Xu, Dacheng Tao:
Bilinear Graph Networks for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1023-1034 (2023) - [j45]Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu:
Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1639-1650 (2023) - [i102]Zunzhi You, Daochang Liu, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. CoRR abs/2302.01056 (2023) - [i101]Jiajun Huang, Xinqi Zhu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu:
Anti-Compression Contrastive Facial Forgery Detection. CoRR abs/2302.06183 (2023) - [i100]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. CoRR abs/2302.06245 (2023) - [i99]Yunke Wang, Bo Du, Chang Xu:
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. CoRR abs/2302.06271 (2023) - [i98]Chuyang Zhou, Jiajun Huang, Daochang Liu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu:
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection. CoRR abs/2302.10437 (2023) - [i97]Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. CoRR abs/2303.17959 (2023) - [i96]Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, Samuel Albanie:
Can GPT-4 Perform Neural Architecture Search? CoRR abs/2304.10970 (2023) - 2022
- [j44]Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian:
GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. 130(4): 1050-1069 (2022) - [j43]Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu:
Neural architecture tuning with policy adaptation. Neurocomputing 485: 196-204 (2022) - [j42]Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Optimizing Latent Distributions for Non-Adversarial Generative Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2657-2672 (2022) - [j41]Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama:
LocalDrop: A Hybrid Regularization for Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3590-3601 (2022) - [j40]Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao:
Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7731-7746 (2022) - [j39]Huaxi Huang, Junjie Zhang, Litao Yu, Jian Zhang, Qiang Wu, Chang Xu:
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples. IEEE Trans. Circuits Syst. Video Technol. 32(2): 853-866 (2022) - [j38]Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu:
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24: 876-889 (2022) - [c123]Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu:
DyRep: Bootstrapping Training with Dynamic Re-parameterization. CVPR 2022: 578-587 - [c122]Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang:
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CVPR 2022: 816-826 - [c121]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang:
An Image Patch is a Wave: Phase-Aware Vision MLP. CVPR 2022: 10925-10934 - [c120]Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. CVPR 2022: 11892-11901 - [c119]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164 - [c118]Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu:
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR 2022: 12165-12175 - [c117]Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu:
SimMatch: Semi-supervised Learning with Similarity Matching. CVPR 2022: 14451-14461 - [c116]Xueyu Wang, Jiajun Huang, Siqi Ma, Surya Nepal, Chang Xu:
DeepFake Disrupter: The Detector of DeepFake Is My Friend. CVPR 2022: 14900-14909 - [c115]Shuo Yang, Chang Xu:
One Size Does NOT Fit All: Data-Adaptive Adversarial Training. ECCV (5) 2022: 70-85 - [c114]Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu:
ViTAS: Vision Transformer Architecture Search. ECCV (21) 2022: 139-157 - [c113]Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya:
Data Agnostic Filter Gating For Efficient Deep Networks. ICASSP 2022: 3503-3507 - [c112]Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu:
Contrastive Code-Comment Pre-training. ICDM 2022: 398-407 - [c111]Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu:
Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments. ICDM 2022: 408-417 - [c110]Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu:
Relational Surrogate Loss Learning. ICLR 2022 - [c109]Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu:
Spatial-Channel Token Distillation for Vision MLPs. ICML 2022: 12685-12695 - [c108]Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu:
Sufficient Vision Transformer. KDD 2022: 190-200 - [c107]Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu:
Knowledge Distillation from A Stronger Teacher. NeurIPS 2022 - [c106]Yichao Cao, Xiu Su, Qingfei Tang, Shan You, Xiaobo Lu, Chang Xu:
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition. NeurIPS 2022 - [c105]Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu:
Random Normalization Aggregation for Adversarial Defense. NeurIPS 2022 - [c104]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS 2022 - [c103]Huihui Gong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Vulnerability Detection Using Deep Learning Based Function Classification. NSS 2022: 3-22 - [i95]Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian:
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR abs/2201.03297 (2022) - [i94]Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu:
Relational Surrogate Loss Learning. CoRR abs/2202.13197 (2022) - [i93]Yunke Wang, Bo Du, Chang Xu:
Multi-Tailed Vision Transformer for Efficient Inference. CoRR abs/2203.01587 (2022) - [i92]Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu:
SimMatch: Semi-supervised Learning with Similarity Matching. CoRR abs/2203.06915 (2022) - [i91]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Relational Self-Supervised Learning. CoRR abs/2203.08717 (2022) - [i90]Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu:
DyRep: Bootstrapping Training with Dynamic Re-parameterization. CoRR abs/2203.12868 (2022) - [i89]Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Searching for Network Width with Bilaterally Coupled Network. CoRR abs/2203.13714 (2022) - [i88]Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu:
Knowledge Distillation from A Stronger Teacher. CoRR abs/2205.10536 (2022) - [i87]Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu:
Masked Distillation with Receptive Tokens. CoRR abs/2205.14589 (2022) - [i86]Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu:
LightViT: Towards Light-Weight Convolution-Free Vision Transformers. CoRR abs/2207.05557 (2022) - [i85]Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chang Xu:
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. CoRR abs/2210.14670 (2022) - [i84]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR abs/2211.12905 (2022) - [i83]Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu:
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR abs/2212.06593 (2022) - [i82]Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. CoRR abs/2212.07277 (2022) - [i81]Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu:
Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution. CoRR abs/2212.14046 (2022) - 2021
- [j37]Yongjian Zhong, Bo Du, Chang Xu:
Learning to reweight examples in multi-label classification. Neural Networks 142: 428-436 (2021) - [j36]Zeyu Feng, Chang Xu, Dacheng Tao:
Open-Set Hypothesis Transfer With Semantic Consistency. IEEE Trans. Image Process. 30: 6473-6484 (2021) - [j35]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Learning Student Networks via Feature Embedding. IEEE Trans. Neural Networks Learn. Syst. 32(1): 25-35 (2021) - [c102]Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu:
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. AAAI 2021: 1602-1609 - [c101]Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu:
Adversarial Robustness through Disentangled Representations. AAAI 2021: 3145-3153 - [c100]Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu:
One-shot Graph Neural Architecture Search with Dynamic Search Space. AAAI 2021: 8510-8517 - [c99]Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu:
Distilling Object Detectors via Decoupled Features. CVPR 2021: 2154-2164 - [c98]Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
BCNet: Searching for Network Width With Bilaterally Coupled Network. CVPR 2021: 2175-2184 - [c97]Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang:
Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR 2021: 2653-2662 - [c96]Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu:
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR 2021: 4411-4420 - [c95]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CVPR 2021: 5018-5028 - [c94]Xinqi Zhu, Chang Xu, Dacheng Tao:
Where and What? Examining Interpretable Disentangled Representations. CVPR 2021: 5861-5870 - [c93]Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang:
Learning Student Networks in the Wild. CVPR 2021: 6428-6437 - [c92]Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu:
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR 2021: 10896-10906 - [c91]Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Prioritized Architecture Sampling With Monto-Carlo Tree Search. CVPR 2021: 10968-10977 - [c90]Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao:
Pre-Trained Image Processing Transformer. CVPR 2021: 12299-12310 - [c89]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR 2021: 15648-15657 - [c88]Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang:
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. ICCV 2021: 4288-4297 - [c87]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. ICCV 2021: 10022-10031 - [c86]Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu:
DeepFake MNIST+: A DeepFake Facial Animation Dataset. ICCVW 2021: 1973-1982 - [c85]Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu:
Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. ICDM 2021: 807-816 - [c84]Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Locally Free Weight Sharing for Network Width Search. ICLR 2021 - [c83]Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. ICML 2021: 9880-9890 - [c82]Yunke Wang, Chang Xu, Bo Du, Honglak Lee:
Learning to Weight Imperfect Demonstrations. ICML 2021: 10961-10970 - [c81]Xinqi Zhu, Chang Xu, Dacheng Tao:
Commutative Lie Group VAE for Disentanglement Learning. ICML 2021: 12924-12934 - [c80]Yunke Wang, Chang Xu, Bo Du:
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. IJCAI 2021: 3155-3161 - [c79]Chang Xu, Siqi Ma, David Lo:
PLP 2021: Workshop on Programming Language Processing. KDD 2021: 4171-4172 - [c78]Shan You, Chang Xu, Fei Wang, Changshui Zhang:
Workshop on Model Mining. KDD 2021: 4177-4178 - [c77]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. NeurIPS 2021: 2543-2555 - [c76]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS 2021: 6894-6905 - [c75]Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu:
Towards Stable and Robust AdderNets. NeurIPS 2021: 13255-13265 - [c74]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. NeurIPS 2021: 15316-15327 - [c73]Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu:
Handling Long-tailed Feature Distribution in AdderNets. NeurIPS 2021: 17902-17912 - [c72]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS 2021: 25553-25565 - [c71]Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Neural Architecture Dilation for Adversarial Robustness. NeurIPS 2021: 29578-29589 - [i80]Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Locally Free Weight Sharing for Network Width Search. CoRR abs/2102.05258 (2021) - [i79]Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama:
LocalDrop: A Hybrid Regularization for Deep Neural Networks. CoRR abs/2103.00719 (2021) - [i78]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR abs/2103.00841 (2021) - [i77]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CoRR abs/2103.05861 (2021) - [i76]Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang:
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. CoRR abs/2103.08357 (2021) - [i75]Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Prioritized Architecture Sampling with Monto-Carlo Tree Search. CoRR abs/2103.11922 (2021) - [i74]Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu:
Distilling Object Detectors via Decoupled Features. CoRR abs/2103.14475 (2021) - [i73]Xinqi Zhu, Chang Xu, Dacheng Tao:
Where and What? Examining Interpretable Disentangled Representations. CoRR abs/2104.05622 (2021) - [i72]Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
BCNet: Searching for Network Width with Bilaterally Coupled Network. CoRR abs/2105.10533 (2021) - [i71]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang:
Adder Neural Networks. CoRR abs/2105.14202 (2021) - [i70]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CoRR abs/2106.02852 (2021) - [i69]Xinqi Zhu, Chang Xu, Dacheng Tao:
Commutative Lie Group VAE for Disentanglement Learning. CoRR abs/2106.03375 (2021) - [i68]Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. CoRR abs/2106.06442 (2021) - [i67]Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Vision Transformer Architecture Search. CoRR abs/2106.13700 (2021) - [i66]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. CoRR abs/2106.15941 (2021) - [i65]Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR abs/2107.06263 (2021) - [i64]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. CoRR abs/2107.09282 (2021) - [i63]Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Neural Architecture Dilation for Adversarial Robustness. CoRR abs/2108.06885 (2021) - [i62]Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu:
DeepFake MNIST+: A DeepFake Facial Animation Dataset. CoRR abs/2108.07949 (2021) - [i61]Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang:
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR abs/2108.13341 (2021) - [i60]Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao:
Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR abs/2109.09310 (2021) - [i59]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. CoRR abs/2110.04770 (2021) - [i58]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang:
An Image Patch is a Wave: Phase-Aware Vision MLP. CoRR abs/2111.12294 (2021) - [i57]Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
GreedyNASv2: Greedier Search with a Greedy Path Filter. CoRR abs/2111.12609 (2021) - [i56]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. CoRR abs/2112.13608 (2021) - 2020
- [j34]Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao:
Robust learning with imperfect privileged information. Artif. Intell. 282: 103246 (2020) - [j33]Mengqing Mei, Yongjian Zhong, Fazhi He, Chang Xu:
An innovative multi-label learning based algorithm for city data computing. GeoInformatica 24(1): 221-245 (2020) - [j32]Jihai Yang, Mingmei Jia, Chang Xu, Shijun Li:
Joint hyperspectral unmixing for urban computing. GeoInformatica 24(1): 247-265 (2020) - [j31]Chaoyue Wang, Chang Xu, Dacheng Tao:
Self-Supervised Pose Adaptation for Cross-Domain Image Animation. IEEE Trans. Artif. Intell. 1(1): 34-46 (2020) - [j30]Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Jianhua Xu, Hong Zhang:
Discriminative Multi-View Privileged Information Learning for Image Re-Ranking. IEEE Trans. Image Process. 29: 3490-3505 (2020) - [j29]Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao:
Long-Term Video Prediction via Criticization and Retrospection. IEEE Trans. Image Process. 29: 7090-7103 (2020) - [j28]