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ORCIDChang Xu 0002
Charles 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.uni-trier.de/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
- Charles Xu 0001 — Cruise Automation, San Francisco, CA, USA
- Charles Xu 0003 — University of California, Berkeley, CA, USA
- Charles Xu 0004 — Yale University, Department of Computer Science, New Haven, CT, USA
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Journal Articles
- 2024
[j57]Yunke Wang, Bo Du, Wenyuan Wang, Chang Xu:
Multi-tailed vision transformer for efficient inference. Neural Networks 174: 106235 (2024)- [j56]Ruidong Han, Huihui Gong, Siqi Ma, Juanru Li, Chang Xu, Elisa Bertino, Surya Nepal, Zhuo Ma, Jianfeng Ma:
A Credential Usage Study: Flow-Aware Leakage Detection in Open-Source Projects. IEEE Trans. Inf. Forensics Secur. 19: 722-734 (2024) - [j55]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. IEEE Trans. Multim. 26: 5014-5025 (2024) - [j54]Jiajun Huang, Chengbin Du, Xinqi Zhu, Siqi Ma, Surya Nepal, Chang Xu:
Anti-Compression Contrastive Facial Forgery Detection. IEEE Trans. Multim. 26: 6166-6177 (2024) - [j53]Zhijian Wu, Jun Li, Chang Xu, Dingjiang Huang, Steven C. H. Hoi:
RUN: Rethinking the UNet Architecture for Efficient Image Restoration. IEEE Trans. Multim. 26: 10381-10394 (2024) - 2023
- [j52]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) - [j51]Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Searching for Network Width With Bilaterally Coupled Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8936-8953 (2023) - [j50]Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu:
Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14888-14904 (2023) - [j49]Zhijian Wu, Wenhui Liu, Jun Li, Chang Xu, Dingjiang Huang:
SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6459-6473 (2023) - [j48]Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu:
Improving Lightweight AdderNet via Distillation From ℓ2 to ℓ1-norm. IEEE Trans. Image Process. 32: 5524-5536 (2023) - [j47]Dalu Guo, Chang Xu, Dacheng Tao:
Bilinear Graph Networks for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1023-1034 (2023) - [j46]Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu:
Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1639-1650 (2023) - [j45]Minjing Dong, Chang Xu:
Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10419-10432 (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) - 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) - 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]Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao:
Robust Student Network Learning. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2455-2468 (2020) - [j27]Xue Li, Bo Du, Yipeng Zhang, Chang Xu, Dacheng Tao:
Iterative Privileged Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2805-2817 (2020) - [j26]Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao:
Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3047-3060 (2020) - 2019
- [j25]Minjing Dong, Chang Xu:
Spatial-Temporal Attention-Based Human Dynamics Retrospection. IEEE Access 7: 107300-107310 (2019) - [j24]Shumin Kong, Fangzhou Shi, Chaoyue Wang, Chang Xu:
Point Cloud Generation From Multiple Angles of Voxel Grids. IEEE Access 7: 160436-160448 (2019) - [j23]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Packing Convolutional Neural Networks in the Frequency Domain. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2495-2510 (2019) - [j22]Jihai Yang, Wei Xiong, Shijun Li, Chang Xu:
Learning structured and non-redundant representations with deep neural networks. Pattern Recognit. 86: 224-235 (2019) - [j21]Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao:
Evolutionary Generative Adversarial Networks. IEEE Trans. Evol. Comput. 23(6): 921-934 (2019) - [j20]Xinyuan Chen, Chang Xu, Xiaokang Yang, Li Song, Dacheng Tao:
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer. IEEE Trans. Image Process. 28(2): 546-560 (2019) - [j19]Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Ramamohanarao Kotagiri, Dacheng Tao:
ROMIR: Robust Multi-View Image Re-Ranking. IEEE Trans. Knowl. Data Eng. 31(12): 2393-2406 (2019) - [j18]Yali Du, Meng Fang, Jinfeng Yi, Chang Xu, Jun Cheng, Dacheng Tao:
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. IEEE Trans. Multim. 21(3): 555-565 (2019) - 2018
- [j17]Yue Zhao, Xinge You, Shujian Yu, Chang Xu, Wei Yuan, Xiao-Yuan Jing, Taiping Zhang, Dacheng Tao:
Multi-view manifold learning with locality alignment. Pattern Recognit. 78: 154-166 (2018) - [j16]Yali Du, Chang Xu, Dacheng Tao:
Matrix Factorization for Collaborative Budget Allocation. IEEE Trans Autom. Sci. Eng. 15(4): 1471-1482 (2018) - [j15]Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection by Optimizing F-Measures. IEEE Trans. Image Process. 27(3): 1323-1335 (2018) - [j14]Chaoyue Wang, Chang Xu, Chaohui Wang, Dacheng Tao:
Perceptual Adversarial Networks for Image-to-Image Transformation. IEEE Trans. Image Process. 27(8): 4066-4079 (2018) - [j13]Bo Du, Shaodong Wang, Chang Xu, Nan Wang, Liangpei Zhang, Dacheng Tao:
Multi-Task Learning for Blind Source Separation. IEEE Trans. Image Process. 27(9): 4219-4231 (2018) - 2017
- [j12]Jun Li, Chang Xu, Wankou Yang, Changyin Sun:
SPA: Spatially Pooled Attributes for image retrieval. Neurocomputing 257: 47-58 (2017) - [j11]Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao:
Diversified dictionaries for multi-instance learning. Pattern Recognit. 64: 407-416 (2017) - [j10]Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao:
Discriminative Multi-View Interactive Image Re-Ranking. IEEE Trans. Image Process. 26(7): 3113-3127 (2017) - [j9]Yunhe Wang, Chang Xu, Shan You, Chao Xu, Dacheng Tao:
DCT Regularized Extreme Visual Recovery. IEEE Trans. Image Process. 26(7): 3360-3371 (2017) - 2016
- [j8]Jun Li, Chang Xu, Mingming Gong, Junliang Xing, Wankou Yang, Changyin Sun:
SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing 207: 202-212 (2016) - [j7]Chang Xu, Tongliang Liu, Dacheng Tao, Chao Xu:
Local Rademacher Complexity for Multi-Label Learning. IEEE Trans. Image Process. 25(3): 1495-1507 (2016) - 2015
- [j6]Chang Xu, Dacheng Tao, Yangxi Li, Chao Xu:
Large-margin multi-view Gaussian process. Multim. Syst. 21(2): 147-157 (2015) - [j5]Chang Xu, Dacheng Tao, Chao Xu:
Multi-View Intact Space Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2531-2544 (2015) - [j4]Changxing Ding, Chang Xu, Dacheng Tao:
Multi-Task Pose-Invariant Face Recognition. IEEE Trans. Image Process. 24(3): 980-993 (2015) - [j3]Chang Xu, Dacheng Tao, Chao Xu:
Multi-View Learning With Incomplete Views. IEEE Trans. Image Process. 24(12): 5812-5825 (2015) - 2014
- [j2]Chang Xu, Dacheng Tao, Chao Xu:
Large-Margin Multi-ViewInformation Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1559-1572 (2014) - 2013
- [j1]Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen:
Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification. IEEE Trans. Neural Networks Learn. Syst. 24(5): 709-722 (2013)
Conference and Workshop Papers
- 2024
- [c174]Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu:
AMD: Autoregressive Motion Diffusion. AAAI 2024: 2022-2030 - [c173]Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu:
Residual Learning in Diffusion Models. CVPR 2024: 7289-7299 - [c172]Chen Chen, Daochang Liu, Chang Xu:
Towards Memorization-Free Diffusion Models. CVPR 2024: 8425-8434 - [c171]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Random Entangled Tokens for Adversarially Robust Vision Transformer. CVPR 2024: 24554-24563 - [c170]Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu:
Visual Prompting via Partial Optimal Transport. ECCV (35) 2024: 1-18 - [c169]Hongyan Xu, Xiaohuan Pei, Xiu Su, Shan You, Chang Xu:
TCNAS: Transformer Architecture Evolving in Code Clone Detection. ICASSP 2024: 5745-5749 - [c168]Xiu Su, Shan You, Hongyan Xu, Xiuxing Li, Jun Long, Yi Chen, Chang Xu:
Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models. ICASSP 2024: 6225-6229 - [c167]Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu:
Neural Architecture Retrieval. ICLR 2024 - [c166]Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu:
A Benchmark Study on Calibration. ICLR 2024 - [c165]Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu:
Data-efficient Large Vision Models through Sequential Autoregression. ICML 2024 - [c164]Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen:
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. ICML 2024 - [c163]Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu:
Imitation Learning from Purified Demonstrations. ICML 2024 - [c162]Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu:
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning. ICML 2024 - [c161]Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu:
Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA. ICML 2024 - [c160]Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. IJCAI 2024: 1416-1424 - [c159]Liujie Hua, Yichao Cao, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu:
Image Anomaly Detection Based on Controllable Self-Augmentation. IJCNN 2024: 1-10 - 2023
- [c158]Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu:
Neural Architecture Search for Wide Spectrum Adversarial Robustness. AAAI 2023: 442-451 - [c157]Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu:
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. AAAI 2023: 2938-2946 - [c156]Yunke Wang, Bo Du, Chang Xu:
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. AAAI 2023: 10262-10270 - [c155]Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. AAAI 2023: 11470-11478 - [c154]Minjing Dong, Chang Xu:
Adversarial Robustness via Random Projection Filters. CVPR 2023: 4077-4086 - [c153]Yanxi Li, Chang Xu:
Trade-off between Robustness and Accuracy of Vision Transformers. CVPR 2023: 7558-7568 - [c152]Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu:
Private Image Generation with Dual-Purpose Auxiliary Classifier. CVPR 2023: 20361-20370 - [c151]Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang:
PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation with Progressive Video Transformers. CVPR 2023: 21254-21263 - [c150]Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. ICCV 2023: 10105-10115 - [c149]Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang:
What Can Simple Arithmetic Operations Do for Temporal Modeling? ICCV 2023: 13666-13676 - [c148]Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu:
Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. ICCV 2023: 14146-14156 - [c147]Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu:
SimMatchV2: Semi-Supervised Learning with Graph Consistency. ICCV 2023: 16386-16396 - [c146]Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu:
Personalized Image Generation for Color Vision Deficiency Population. ICCV 2023: 22514-22523 - [c145]Yichao Cao, Qingfei Tang, Feng Yang, Xiu Su, Shan You, Xiaobo Lu, Chang Xu:
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. ICCV 2023: 23435-23446 - [c144]Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu:
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. ICDM 2023: 1121-1126 - [c143]Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu:
Masked Distillation with Receptive Tokens. ICLR 2023 - [c142]AnhDung Dinh, Daochang Liu, Chang Xu:
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML 2023: 8120-8137 - [c141]Linwei Tao, Minjing Dong, Chang Xu:
Dual Focal Loss for Calibration. ICML 2023: 33833-33849 - [c140]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. IJCAI 2023: 4271-4279 - [c139]Ziqing Lu, Chang Xu, Bo Du:
MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. IJCNN 2023: 1-6 - [c138]Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu:
Learning to Schedule in Diffusion Probabilistic Models. KDD 2023: 2478-2488 - [c137]Yichao Cao, Qingfei Tang, Xiu Su, Song Chen, Shan You, Xiaobo Lu, Chang Xu:
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. NeurIPS 2023 - [c136]Anh-Dung Dinh, Daochang Liu, Chang Xu:
Rethinking Conditional Diffusion Sampling with Progressive Guidance. NeurIPS 2023 - [c135]Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu:
Stable Diffusion is Unstable. NeurIPS 2023 - [c134]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. NeurIPS 2023 - [c133]Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu:
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. NeurIPS 2023 - [c132]Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu:
Knowledge Diffusion for Distillation. NeurIPS 2023 - [c131]Yanxiang Ma, Minjing Dong, Chang Xu:
Adversarial Robustness through Random Weight Sampling. NeurIPS 2023 - [c130]Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. NeurIPS 2023 - [c129]Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu:
Contrastive Sampling Chains in Diffusion Models. NeurIPS 2023 - 2022
- [c128]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 - [c127]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 - [c126]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 - [c125]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 - [c124]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164 - [c123]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 - [c122]Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu:
SimMatch: Semi-supervised Learning with Similarity Matching. CVPR 2022: 14451-14461 - [c121]Xueyu Wang, Jiajun Huang, Siqi Ma, Surya Nepal, Chang Xu:
DeepFake Disrupter: The Detector of DeepFake Is My Friend. CVPR 2022: 14900-14909 - [c120]Shuo Yang, Chang Xu:
One Size Does NOT Fit All: Data-Adaptive Adversarial Training. ECCV (5) 2022: 70-85 - [c119]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 - [c118]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 - [c117]Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu:
Contrastive Code-Comment Pre-training. ICDM 2022: 398-407 - [c116]Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu:
Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments. ICDM 2022: 408-417 - [c115]Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu:
Relational Surrogate Loss Learning. ICLR 2022 - [c114]Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu:
Spatial-Channel Token Distillation for Vision MLPs. ICML 2022: 12685-12695 - [c113]Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu:
Sufficient Vision Transformer. KDD 2022: 190-200 - [c112]Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu:
Knowledge Distillation from A Stronger Teacher. NeurIPS 2022 - [c111]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 - [c110]Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu:
Random Normalization Aggregation for Adversarial Defense. NeurIPS 2022 - [c109]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS 2022 - [c108]Huihui Gong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Vulnerability Detection Using Deep Learning Based Function Classification. NSS 2022: 3-22 - 2021
- [c107]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 - [c106]Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu:
Adversarial Robustness through Disentangled Representations. AAAI 2021: 3145-3153 - [c105]Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu:
One-shot Graph Neural Architecture Search with Dynamic Search Space. AAAI 2021: 8510-8517 - [c104]Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu:
Distilling Object Detectors via Decoupled Features. CVPR 2021: 2154-2164 - [c103]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 - [c102]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 - [c101]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 - [c100]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CVPR 2021: 5018-5028 - [c99]Xinqi Zhu, Chang Xu, Dacheng Tao:
Where and What? Examining Interpretable Disentangled Representations. CVPR 2021: 5861-5870 - [c98]Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang:
Learning Student Networks in the Wild. CVPR 2021: 6428-6437 - [c97]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 - [c96]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 - [c95]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 - [c94]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR 2021: 15648-15657 - [c93]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 - [c92]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. ICCV 2021: 10022-10031 - [c91]Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu:
DeepFake MNIST+: A DeepFake Facial Animation Dataset. ICCVW 2021: 1973-1982 - [c90]Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu:
Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. ICDM 2021: 807-816 - [c89]Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Locally Free Weight Sharing for Network Width Search. ICLR 2021 - [c88]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 - [c87]Yunke Wang, Chang Xu, Bo Du, Honglak Lee:
Learning to Weight Imperfect Demonstrations. ICML 2021: 10961-10970 - [c86]Xinqi Zhu, Chang Xu, Dacheng Tao:
Commutative Lie Group VAE for Disentanglement Learning. ICML 2021: 12924-12934 - [c85]Yunke Wang, Chang Xu, Bo Du:
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. IJCAI 2021: 3155-3161 - [c84]Chang Xu, Siqi Ma, David Lo:
PLP 2021: Workshop on Programming Language Processing. KDD 2021: 4171-4172 - [c83]Shan You, Chang Xu, Fei Wang, Changshui Zhang:
Workshop on Model Mining. KDD 2021: 4177-4178 - [c82]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 - [c81]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS 2021: 6894-6905 - [c80]Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu:
Towards Stable and Robust AdderNets. NeurIPS 2021: 13255-13265 - [c79]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. NeurIPS 2021: 15316-15327 - [c78]Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu:
Handling Long-tailed Feature Distribution in AdderNets. NeurIPS 2021: 17902-17912 - [c77]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS 2021: 25553-25565 - [c76]Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Neural Architecture Dilation for Adversarial Robustness. NeurIPS 2021: 29578-29589 - 2020
- [c75]Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling Portable Generative Adversarial Networks for Image Translation. AAAI 2020: 3585-3592 - [c74]Shumin Kong, Tianyu Guo, Shan You, Chang Xu:
Learning Student Networks with Few Data. AAAI 2020: 4469-4476 - [c73]Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu:
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. AAAI 2020: 5964-5971 - [c72]Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang:
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. AAAI 2020: 5972-5980 - [c71]Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. AAAI 2020: 12007-12014 - [c70]Chang Xu, Cécile Paris, Ross Sparks, Surya Nepal, Keith Vander Linden:
Assessing Social License to Operate from the Public Discourse on Social Media. COLING (Industry) 2020: 146-159 - [c69]Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020: 1465-1474 - [c68]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features From Cheap Operations. CVPR 2020: 1577-1586 - [c67]Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
Frequency Domain Compact 3D Convolutional Neural Networks. CVPR 2020: 1638-1647 - [c66]Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi:
Neuromorphic Camera Guided High Dynamic Range Imaging. CVPR 2020: 1727-1736 - [c65]Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
A Semi-Supervised Assessor of Neural Architectures. CVPR 2020: 1807-1816 - [c64]Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. CVPR 2020: 1826-1835 - [c63]Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao:
On Positive-Unlabeled Classification in GAN. CVPR 2020: 8382-8390 - [c62]Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu:
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CVPR 2020: 11402-11411 - [c61]Xikun Zhang, Chang Xu, Dacheng Tao:
Context Aware Graph Convolution for Skeleton-Based Action Recognition. CVPR 2020: 14321-14330 - [c60]Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang:
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. ECAI 2020: 2260-2267 - [c59]Xikun Zhang, Chang Xu, Dacheng Tao:
On Dropping Clusters to Regularize Graph Convolutional Neural Networks. ECCV (21) 2020: 245-260 - [c58]Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu:
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. ECCV (6) 2020: 614-630 - [c57]Xinqi Zhu, Chang Xu, Dacheng Tao:
Learning Disentangled Representations with Latent Variation Predictability. ECCV (10) 2020: 684-700 - [c56]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu:
Training Binary Neural Networks through Learning with Noisy Supervision. ICML 2020: 4017-4026 - [c55]Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu:
Neural Architecture Search in A Proxy Validation Loss Landscape. ICML 2020: 5853-5862 - [c54]Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian:
Discernible Image Compression. ACM Multimedia 2020: 1561-1569 - [c53]Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Adapting Neural Architectures Between Domains. NeurIPS 2020 - [c52]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS 2020 - [c51]Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang:
Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS 2020 - [c50]Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu:
Searching for Low-Bit Weights in Quantized Neural Networks. NeurIPS 2020 - [c49]Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi:
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging. NeurIPS 2020 - 2019
- [c48]Mike Li, Elija Perrier, Chang Xu:
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. AAAI 2019: 647-654 - [c47]Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Smooth Deep Image Generator from Noises. AAAI 2019: 3731-3738 - [c46]Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks:
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks. ACL (1) 2019: 4665-4671 - [c45]Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith Chinthana Ranasinghe, Surya Nepal:
STRIP: a defence against trojan attacks on deep neural networks. ACSAC 2019: 113-125 - [c44]Zeyu Feng, Chang Xu, Dacheng Tao:
Self-Supervised Representation Learning by Rotation Feature Decoupling. CVPR 2019: 10364-10374 - [c43]Dalu Guo, Chang Xu, Dacheng Tao:
Image-Question-Answer Synergistic Network for Visual Dialog. CVPR 2019: 10434-10443 - [c42]Gengxing Wang, Xinyuan Chen, Chang Xu:
Adversarial Watermarking to Attack Deep Neural Networks. ICASSP 2019: 1962-1966 - [c41]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. ICCV 2019: 3234-3243 - [c40]Zeyu Feng, Chang Xu, Dacheng Tao:
Self-Supervised Representation Learning From Multi-Domain Data. ICCV 2019: 3244-3254 - [c39]Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao:
Approximated Bilinear Modules for Temporal Modeling. ICCV 2019: 3493-3502 - [c38]Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. ICCV 2019: 3513-3521 - [c37]Fangzhou Shi, Shan You, Chang Xu:
Reinforced Molecule Generation with Heterogeneous States. ICDM 2019: 548-557 - [c36]Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
LegoNet: Efficient Convolutional Neural Networks with Lego Filters. ICML 2019: 7005-7014 - [c35]Minjing Dong, Chang Xu:
On Retrospecting Human Dynamics with Attention. IJCAI 2019: 708-714 - [c34]Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu:
Crafting Efficient Neural Graph of Large Entropy. IJCAI 2019: 2244-2250 - [c33]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI 2019: 2456-2462 - [c32]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI 2019: 3001-3007 - [c31]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. NeurIPS 2019: 2561-2570 - [c30]Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Learning from Bad Data via Generation. NeurIPS 2019: 6042-6053 - 2018
- [c29]Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao:
Reinforced Multi-Label Image Classification by Exploring Curriculum. AAAI 2018: 3183-3190 - [c28]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Adversarial Learning of Portable Student Networks. AAAI 2018: 4260-4267 - [c27]Shan You, Chang Xu, Chao Xu, Dacheng Tao:
Learning With Single-Teacher Multi-Student. AAAI 2018: 4390-4397 - [c26]Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks:
Cross-Target Stance Classification with Self-Attention Networks. ACL (2) 2018: 778-783 - [c25]Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao:
Attention-GAN for Object Transfiguration in Wild Images. ECCV (2) 2018: 167-184 - [c24]Zeyu Feng, Chang Xu, Dacheng Tao:
Historical Gradient Boosting Machine. GCAI 2018: 68-80 - [c23]Shan You, Chang Xu, Chao Xu:
Online Dictionary Learning with Confidence. ICDM 2018: 707-716 - [c22]Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang:
Independent Feature and Label Components for Multi-label Classification. ICDM 2018: 827-836 - [c21]Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao:
R-SVM+: Robust Learning with Privileged Information. IJCAI 2018: 2411-2417 - [c20]Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao:
Towards Evolutionary Compression. KDD 2018: 2476-2485 - [c19]Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao:
Learning Versatile Filters for Efficient Convolutional Neural Networks. NeurIPS 2018: 1615-1625 - 2017
- [c18]Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. AAAI 2017: 2252-2258 - [c17]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Beyond RPCA: Flattening Complex Noise in the Frequency Domain. AAAI 2017: 2761-2767 - [c16]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Beyond Filters: Compact Feature Map for Portable Deep Model. ICML 2017: 3703-3711 - [c15]Yali Du, Chang Xu, Dacheng Tao:
Privileged Matrix Factorization for Collaborative Filtering. IJCAI 2017: 1610-1616 - [c14]Yali Du, Chang Xu, Dacheng Tao:
Collaborative Rating Allocation. IJCAI 2017: 1617-1623 - [c13]Meng Liu, Chang Xu, Chao Xu, Dacheng Tao:
Fast SVM Trained by Divide-and-Conquer Anchors. IJCAI 2017: 2322-2328 - [c12]Chaoyue Wang, Chaohui Wang, Chang Xu, Dacheng Tao:
Tag Disentangled Generative Adversarial Network for Object Image Re-rendering. IJCAI 2017: 2901-2907 - [c11]Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao:
Multi-Positive and Unlabeled Learning. IJCAI 2017: 3182-3188 - [c10]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Privileged Multi-label Learning. IJCAI 2017: 3336-3342 - [c9]Shan You, Chang Xu, Chao Xu, Dacheng Tao:
Learning from Multiple Teacher Networks. KDD 2017: 1285-1294 - 2016
- [c8]Chang Xu, Dacheng Tao, Chao Xu:
Robust Extreme Multi-label Learning. KDD 2016: 1275-1284 - [c7]Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu:
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. NIPS 2016: 253-261 - 2015
- [c6]Chang Xu, Dacheng Tao, Chao Xu:
Large-Margin Multi-Label Causal Feature Learning. AAAI 2015: 1924-1930 - [c5]Chang Xu, Dacheng Tao, Chao Xu:
Multi-view Self-Paced Learning for Clustering. IJCAI 2015: 3974-3980 - 2014
- [c4]Chang Xu, Dacheng Tao, Chao Xu, Yong Rui:
Large-margin Weakly Supervised Dimensionality Reduction. ICML 2014: 865-873 - 2013
- [c3]Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu:
Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. AAAI 2013: 647-653 - [c2]Chang Xu, Dacheng Tao, Yangxi Li, Chao Xu:
Large-margin multi-view Gaussian process for image classification. ICIMCS 2013: 7-12 - 2012
- [c1]Chang Xu, Yangxi Li, Chao Zhou, Chao Xu:
Learning to rerank images with enhanced spatial verification. ICIP 2012: 1933-1936
Informal and Other Publications
- 2024
- [i143]Yunke Wang, Linwei Tao, Bo Du, Yutian Lin, Chang Xu:
Visual Imitation Learning with Calibrated Contrastive Representation. CoRR abs/2401.11396 (2024) - [i142]Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang:
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR abs/2402.03749 (2024) - [i141]Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu:
Data-efficient Large Vision Models through Sequential Autoregression. CoRR abs/2402.04841 (2024) - [i140]Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu:
LocalMamba: Visual State Space Model with Windowed Selective Scan. CoRR abs/2403.09338 (2024) - [i139]Xiaohuan Pei, Tao Huang, Chang Xu:
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba. CoRR abs/2403.09977 (2024) - [i138]Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu:
Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR abs/2403.11468 (2024) - [i137]Chen Chen, Daochang Liu, Chang Xu:
Towards Memorization-Free Diffusion Models. CoRR abs/2404.00922 (2024) - [i136]Peng Tu, Xun Zhou, Mingming Wang, Xiaojun Yang, Bo Peng, Ping Chen, Xiu Su, Yawen Huang, Yefeng Zheng, Chang Xu:
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization. CoRR abs/2404.04875 (2024) - [i135]Yuheng Shi, Minjing Dong, Chang Xu:
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. CoRR abs/2405.14174 (2024) - [i134]Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen:
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR abs/2406.01210 (2024) - [i133]Daochang Liu, Axel Hu, Mubarak Shah, Chang Xu:
Surgical Triplet Recognition via Diffusion Model. CoRR abs/2406.13210 (2024) - [i132]Anh-Dung Dinh, Daochang Liu, Chang Xu:
Compress Guidance in Conditional Diffusion Sampling. CoRR abs/2408.11194 (2024) - 2023
- [i131]Zunzhi You, Daochang Liu, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. CoRR abs/2302.01056 (2023) - [i130]Jiajun Huang, Xinqi Zhu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu:
Anti-Compression Contrastive Facial Forgery Detection. CoRR abs/2302.06183 (2023) - [i129]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. CoRR abs/2302.06245 (2023) - [i128]Yunke Wang, Bo Du, Chang Xu:
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. CoRR abs/2302.06271 (2023) - [i127]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) - [i126]Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang:
PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers. CoRR abs/2303.09187 (2023) - [i125]Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. CoRR abs/2303.17959 (2023) - [i124]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) - [i123]Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li:
AMD: Autoregressive Motion Diffusion. CoRR abs/2305.09381 (2023) - [i122]Linwei Tao, Minjing Dong, Chang Xu:
Dual Focal Loss for Calibration. CoRR abs/2305.13665 (2023) - [i121]Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu:
Knowledge Diffusion for Distillation. CoRR abs/2305.15712 (2023) - [i120]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. CoRR abs/2305.15781 (2023) - [i119]Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu:
Stable Diffusion is Unstable. CoRR abs/2306.02583 (2023) - [i118]Xiaohuan Pei, Yanxi Li, Chang Xu:
GPT Self-Supervision for a Better Data Annotator. CoRR abs/2306.04349 (2023) - [i117]Zhongwei Qiu, Qiansheng Yang, Jian Wang, Xiyu Wang, Chang Xu, Dongmei Fu, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang:
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation. CoRR abs/2306.17074 (2023) - [i116]Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu:
Neural Architecture Retrieval. CoRR abs/2307.07919 (2023) - [i115]Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang:
What Can Simple Arithmetic Operations Do for Temporal Modeling? CoRR abs/2307.08908 (2023) - [i114]Yichao Cao, Xiu Su, Qingfei Tang, Feng Yang, Shan You, Xiaobo Lu, Chang Xu:
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. CoRR abs/2307.13529 (2023) - [i113]Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu:
SimMatchV2: Semi-Supervised Learning with Graph Consistency. CoRR abs/2308.06692 (2023) - [i112]Mingkai Zheng, Shan You, Lang Huang, Xiu Su, Fei Wang, Chen Qian, Xiaogang Wang, Chang Xu:
CoNe: Contrast Your Neighbours for Supervised Image Classification. CoRR abs/2308.10761 (2023) - [i111]Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu:
A Benchmark Study on Calibration. CoRR abs/2308.11838 (2023) - [i110]Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. CoRR abs/2308.11941 (2023) - [i109]Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu:
Efficient Transfer Learning in Diffusion Models via Adversarial Noise. CoRR abs/2308.11948 (2023) - [i108]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. CoRR abs/2309.09480 (2023) - [i107]Zijiang Yang, Zhongwei Qiu, Chang Xu, Dongmei Fu:
MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field. CoRR abs/2309.13607 (2023) - [i106]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks. CoRR abs/2309.16207 (2023) - [i105]Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu:
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. CoRR abs/2310.04750 (2023) - [i104]Yunke Wang, Minjing Dong, Bo Du, Chang Xu:
Imitation Learning from Purified Demonstration. CoRR abs/2310.07143 (2023) - [i103]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - [i102]Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu:
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR abs/2310.19444 (2023) - [i101]Yichao Cao, Qingfei Tang, Xiu Su, Chen Song, Shan You, Xiaobo Lu, Chang Xu:
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. CoRR abs/2311.03799 (2023) - [i100]Wenhao Li, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Chang Xu:
Not All Steps are Equal: Efficient Generation with Progressive Diffusion Models. CoRR abs/2312.13307 (2023) - 2022
- [i99]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) - [i98]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) - [i97]Yunke Wang, Bo Du, Chang Xu:
Multi-Tailed Vision Transformer for Efficient Inference. CoRR abs/2203.01587 (2022) - [i96]Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu:
SimMatch: Semi-supervised Learning with Similarity Matching. CoRR abs/2203.06915 (2022) - [i95]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Relational Self-Supervised Learning. CoRR abs/2203.08717 (2022) - [i94]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) - [i93]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) - [i92]Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu:
Knowledge Distillation from A Stronger Teacher. CoRR abs/2205.10536 (2022) - [i91]Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu:
Masked Distillation with Receptive Tokens. CoRR abs/2205.14589 (2022) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. CoRR abs/2212.07277 (2022) - [i85]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
- [i84]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) - [i83]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) - [i82]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) - [i81]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CoRR abs/2103.05861 (2021) - [i80]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) - [i79]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) - [i78]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) - [i77]Xinqi Zhu, Chang Xu, Dacheng Tao:
Where and What? Examining Interpretable Disentangled Representations. CoRR abs/2104.05622 (2021) - [i76]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) - [i75]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang:
Adder Neural Networks. CoRR abs/2105.14202 (2021) - [i74]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) - [i73]Xinqi Zhu, Chang Xu, Dacheng Tao:
Commutative Lie Group VAE for Disentanglement Learning. CoRR abs/2106.03375 (2021) - [i72]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) - [i71]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) - [i70]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. CoRR abs/2106.15941 (2021) - [i69]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) - [i68]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) - [i67]Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Neural Architecture Dilation for Adversarial Robustness. CoRR abs/2108.06885 (2021) - [i66]Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu:
DeepFake MNIST+: A DeepFake Facial Animation Dataset. CoRR abs/2108.07949 (2021) - [i65]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) - [i64]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) - [i63]Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weakly Supervised Contrastive Learning. CoRR abs/2110.04770 (2021) - [i62]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) - [i61]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) - [i60]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
- [i59]Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao:
On Positive-Unlabeled Classification in GAN. CoRR abs/2002.01136 (2020) - [i58]Zhaohui Yang, Yunhe Wang, Chao Xu, Chang Xu:
Discernible Compressed Images via Deep Perception Consistency. CoRR abs/2002.06810 (2020) - [i57]Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu:
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. CoRR abs/2002.11022 (2020) - [i56]Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling portable Generative Adversarial Networks for Image Translation. CoRR abs/2003.03519 (2020) - [i55]Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang:
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. CoRR abs/2003.06514 (2020) - [i54]Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu:
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CoRR abs/2003.11818 (2020) - [i53]Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
A Semi-Supervised Assessor of Neural Architectures. CoRR abs/2005.06821 (2020) - [i52]Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu:
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples. CoRR abs/2005.13820 (2020) - [i51]Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu:
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CoRR abs/2005.14446 (2020) - [i50]Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu:
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. CoRR abs/2007.05146 (2020) - [i49]Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu:
Multi-Task Pruning for Semantic Segmentation Networks. CoRR abs/2007.08386 (2020) - [i48]Xinqi Zhu, Chang Xu, Dacheng Tao:
Learning Disentangled Representations with Latent Variation Predictability. CoRR abs/2007.12885 (2020) - [i47]Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao:
Approximated Bilinear Modules for Temporal Modeling. CoRR abs/2007.12887 (2020) - [i46]Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu:
Adversarially Robust Neural Architectures. CoRR abs/2009.00902 (2020) - [i45]Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu:
Searching for Low-Bit Weights in Quantized Neural Networks. CoRR abs/2009.08695 (2020) - [i44]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CoRR abs/2009.08891 (2020) - [i43]Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang:
Kernel Based Progressive Distillation for Adder Neural Networks. CoRR abs/2009.13044 (2020) - [i42]Zeyu Feng, Chang Xu, Dacheng Tao:
Open-Set Hypothesis Transfer with Semantic Consistency. CoRR abs/2010.00292 (2020) - [i41]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu:
Training Binary Neural Networks through Learning with Noisy Supervision. CoRR abs/2010.04871 (2020) - [i40]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR abs/2010.10732 (2020) - [i39]Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Data Agnostic Filter Gating for Efficient Deep Networks. CoRR abs/2010.15041 (2020) - [i38]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. CoRR abs/2012.00364 (2020) - [i37]Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu:
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. CoRR abs/2012.10844 (2020) - 2019
- [i36]Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith Chinthana Ranasinghe, Surya Nepal:
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks. CoRR abs/1902.06531 (2019) - [i35]Dalu Guo, Chang Xu, Dacheng Tao:
Image-Question-Answer Synergistic Network for Visual Dialog. CoRR abs/1902.09774 (2019) - [i34]Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. CoRR abs/1904.01186 (2019) - [i33]Xinyuan Chen, Chang Xu, Xiaokang Yang, Li Song, Dacheng Tao:
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer. CoRR abs/1904.02296 (2019) - [i32]Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection by Optimizing F-Measures. CoRR abs/1904.02301 (2019) - [i31]Chang Xu, Dacheng Tao, Chao Xu:
Multi-View Intact Space Learning. CoRR abs/1904.02340 (2019) - [i30]Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen:
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. CoRR abs/1904.03921 (2019) - [i29]Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks:
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks. CoRR abs/1906.01392 (2019) - [i28]Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu:
Bringing Giant Neural Networks Down to Earth with Unlabeled Data. CoRR abs/1907.06065 (2019) - [i27]Dalu Guo, Chang Xu, Dacheng Tao:
Graph Reasoning Networks for Visual Question Answering. CoRR abs/1907.09815 (2019) - [i26]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. CoRR abs/1907.10804 (2019) - [i25]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR abs/1907.11837 (2019) - [i24]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR abs/1907.11840 (2019) - [i23]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu:
Full-Stack Filters to Build Minimum Viable CNNs. CoRR abs/1908.02023 (2019) - [i22]Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. CoRR abs/1909.04977 (2019) - [i21]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. CoRR abs/1909.09757 (2019) - [i20]Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. CoRR abs/1909.11409 (2019) - [i19]Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu:
Balanced Binary Neural Networks with Gated Residual. CoRR abs/1909.12117 (2019) - [i18]Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu:
RNAS: Architecture Ranking for Powerful Networks. CoRR abs/1910.01523 (2019) - [i17]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features from Cheap Operations. CoRR abs/1911.11907 (2019) - [i16]Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
AdderNet: Do We Really Need Multiplications in Deep Learning? CoRR abs/1912.13200 (2019) - 2018
- [i15]Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao:
Evolutionary Generative Adversarial Networks. CoRR abs/1803.00657 (2018) - [i14]Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao:
Attention-GAN for Object Transfiguration in Wild Images. CoRR abs/1803.06798 (2018) - [i13]Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao:
Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition. CoRR abs/1805.06184 (2018) - [i12]Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks:
Cross-Target Stance Classification with Self-Attention Networks. CoRR abs/1805.06593 (2018) - [i11]Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao:
Robust Student Network Learning. CoRR abs/1807.11158 (2018) - [i10]Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao, Hong Zhang:
Discriminative multi-view Privileged Information learning for image re-ranking. CoRR abs/1808.04437 (2018) - [i9]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Learning Student Networks via Feature Embedding. CoRR abs/1812.06597 (2018) - 2017
- [i8]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Privileged Multi-label Learning. CoRR abs/1701.07194 (2017) - [i7]Chaoyue Wang, Chang Xu, Chaohui Wang, Dacheng Tao:
Perceptual Adversarial Networks for Image-to-Image Transformation. CoRR abs/1706.09138 (2017) - [i6]Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao:
Towards Evolutional Compression. CoRR abs/1707.08005 (2017) - 2016
- [i5]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Streaming Label Learning for Modeling Labels on the Fly. CoRR abs/1604.05449 (2016) - [i4]Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu:
Parts for the Whole: The DCT Norm for Extreme Visual Recovery. CoRR abs/1604.05451 (2016) - [i3]Chang Xu, Dacheng Tao, Chao Xu:
Streaming View Learning. CoRR abs/1604.08291 (2016) - 2014
- [i2]Chang Xu, Tongliang Liu, Dacheng Tao, Chao Xu:
Local Rademacher Complexity for Multi-label Learning. CoRR abs/1410.6990 (2014) - 2013
- [i1]Chang Xu, Dacheng Tao, Chao Xu:
A Survey on Multi-view Learning. CoRR abs/1304.5634 (2013)
Coauthor Index
[j44] [j40] [c165] [c164] [c134] [c133] [c127] [c126] [c124] [c123] [c109] [c104] [c102] [c101] [c79] [c77] [c68] [c62] [c56] [c50] [c41] [c33] [c32] [c31] [i142] [i141] [i134] [i120] [i102] [i99] [i88] [i87] [i82] [i78] [i74] [i70] [i69] [i65] [i64] [i62] [i54] [i45] [i41] [i26] [i25] [i24] [i23] [i21] [i19] [i18] [i17]
[j47] [j42] [j40] [j36] [j35] [j34] [j31] [j29] [j28] [j27] [j26] [j23] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j11] [j10] [j9] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c155] [c124] [c100] [c99] [c97] [c94] [c86] [c63] [c61] [c59] [c57] [c52] [c50] [c47] [c44] [c43] [c40] [c39] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i86] [i81] [i77] [i74] [i73] [i64] [i59] [i51] [i48] [i47] [i45] [i44] [i42] [i40] [i35] [i33] [i32] [i31] [i30] [i27] [i23] [i21] [i15] [i14] [i13] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j52] [j48] [j46] [j44] [j43] [j40] [j35] [j23] [j9] [c134] [c133] [c127] [c126] [c124] [c123] [c114] [c110] [c109] [c106] [c105] [c104] [c102] [c101] [c100] [c98] [c97] [c95] [c94] [c93] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c73] [c71] [c69] [c68] [c67] [c65] [c64] [c63] [c62] [c58] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c41] [c38] [c36] [c34] [c33] [c32] [c31] [c28] [c20] [c19] [c17] [c16] [c10] [c7] [i142] [i120] [i102] [i99] [i88] [i87] [i82] [i81] [i80] [i78] [i75] [i74] [i70] [i69] [i67] [i65] [i64] [i62] [i60] [i59] [i58] [i57] [i56] [i54] [i53] [i51] [i50] [i49] [i46] [i45] [i44] [i43] [i41] [i40] [i38] [i34] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i9] [i8] [i6] [i5] [i4]
[j42] [j35] [j28] [j23] [j15] [j9] [j7] [j6] [j5] [j3] [j2] [j1] [c127] [c126] [c124] [c109] [c100] [c98] [c97] [c95] [c79] [c75] [c73] [c72] [c69] [c67] [c66] [c65] [c64] [c63] [c54] [c52] [c50] [c49] [c47] [c38] [c36] [c30] [c29] [c28] [c27] [c23] [c20] [c19] [c18] [c17] [c16] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i88] [i81] [i75] [i74] [i70] [i65] [i62] [i59] [i58] [i57] [i56] [i53] [i51] [i45] [i40] [i38] [i34] [i32] [i31] [i30] [i28] [i22] [i16] [i11] [i9] [i8] [i6] [i5] [i4] [i3] [i2] [i1]
[j44] [j40] [c104] [c102] [c101] [c98] [c97] [c95] [c94] [c93] [c81] [c77] [c75] [c73] [c71] [c69] [c68] [c67] [c65] [c64] [c58] [c56] [c54] [c52] [c51] [c50] [c41] [c38] [c36] [c33] [c32] [c31] [c19] [i99] [i82] [i80] [i78] [i75] [i69] [i64] [i60] [i57] [i56] [i53] [i51] [i50] [i49] [i45] [i44] [i43] [i41] [i40] [i38] [i34] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i16]
[j51] [j9] [c169] [c168] [c161] [c159] [c158] [c157] [c147] [c145] [c144] [c143] [c137] [c132] [c128] [c125] [c122] [c119] [c118] [c115] [c113] [c112] [c111] [c103] [c96] [c92] [c89] [c88] [c83] [c82] [c74] [c72] [c37] [c27] [c23] [c10] [c9] [c7] [i140] [i124] [i121] [i114] [i113] [i112] [i105] [i101] [i100] [i98] [i96] [i95] [i94] [i93] [i92] [i91] [i90] [i89] [i84] [i79] [i76] [i72] [i71] [i68] [i63] [i61] [i39] [i28] [i8] [i5] [i4]
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-07 21:37 CET by the dblp team
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