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ORCIDChao Xu 0006
Person information
- affiliation: Peking University, Key Laboratory of Machine Perception, Beijing, China
Other persons with the same name
- Chao Xu — disambiguation page
- Chao Xu 0001
![[0000-0002-2759-6364]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2759-6364")
— Zhejiang University, College of Control Science and Engineering, Hangzhou, China - Chao Xu 0002 — University of Electronic Science and Technology of China, Chengdu, China (and 2 more)
- Chao Xu 0003 — Tianjin University, School of Computer Software, China
- Chao Xu 0004 — New Jersey Institute of Technology, USA
- Chao Xu 0005 — University of Southampton, UK
- Chao Xu 0007 — Northwest A&F University, School of Information Engineering, Yangling, China (and 1 more)
- Chao Xu 0008 — National University of Defense Technology, Changsha
- Chao Xu 0009 — Amazon (and 1 more)
- Chao Xu 0010 — Central South University, Changsha
- Chao Xu 0011 — Xuzhou College of Industrial Technology
- Chao Xu 0012 — Rice University
- Chao Xu 0013 — Northwestern Polytechnical University, School of Astronautics, Xi'an, China
- Chao Xu 0014 — Tulane University, New Orleans, LA, USA
- Chao Xu 0015 — Tsinghua University, Institute for Network Sciences and Cyberspace, BNRist, Beijing, China
- Chao Xu 0016 — University of California, Los Angeles, UCLA, CA, USA
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2020 – today
- 2023
[j35]Chu Zhou, Minggui Teng, Jin Han, Jinxiu Liang, Chao Xu, Gang Cao, Boxin Shi:
Deblurring Low-Light Images with Events. Int. J. Comput. Vis. 131(5): 1284-1298 (2023)- [j34]Jin Han, Yixin Yang, Peiqi Duan, Chu Zhou, Lei Ma, Chao Xu, Tie-Jun Huang, Imari Sato, Boxin Shi:
Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional Images. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8553-8565 (2023) - [j33]Chu Zhou, Yufei Han, Minggui Teng, Jin Han, Si Li, Chao Xu, Boxin Shi:
Polarization Guided HDR Reconstruction via Pixel-Wise Depolarization. IEEE Trans. Image Process. 32: 1774-1787 (2023) - [c102]Chu Zhou, Minggui Teng, Youwei Lyu, Si Li, Chao Xu, Boxin Shi:
Polarization-Aware Low-Light Image Enhancement. AAAI 2023: 3742-3750 - [c101]Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang:
Network Expansion For Practical Training Acceleration. CVPR 2023: 20269-20279 - [i41]Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang:
Multiscale Positive-Unlabeled Detection of AI-Generated Texts. CoRR abs/2305.18149 (2023) - 2022
- [j32]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) - [c100]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 - [c99]Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao:
Source-Free Domain Adaptation via Distribution Estimation. CVPR 2022: 7202-7212 - [c98]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 - [c97]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164 - [c96]Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang:
Federated Learning with Positive and Unlabeled Data. ICML 2022: 13344-13355 - [c95]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS 2022 - [i40]Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao:
Source-Free Domain Adaptation via Distribution Estimation. CoRR abs/2204.11257 (2022) - [i39]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) - 2021
- [j31]Zhaohui Yang, Miaojing Shi, Chao Xu, Vittorio Ferrari, Yannis Avrithis:
Training object detectors from few weakly-labeled and many unlabeled images. Pattern Recognit. 120: 108164 (2021) - [j30]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) - [c94]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CVPR 2021: 5018-5028 - [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]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 - [c90]Jin Han, Yixin Yang, Chu Zhou, Chao Xu, Boxin Shi:
EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-resolution. ICCV 2021: 4862-4871 - [c89]Chu Zhou, Minggui Teng, Jin Han, Chao Xu, Boxin Shi:
DeLiEve-Net: Deblurring Low-light Images with Light Streaks and Local Events. ICCVW 2021: 1155-1164 - [c88]Chu Zhou, Minggui Teng, Yufei Han, Chao Xu, Boxin Shi:
Learning to dehaze with polarization. NeurIPS 2021: 11487-11500 - [c87]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. NeurIPS 2021: 15316-15327 - [i38]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CoRR abs/2103.05861 (2021) - [i37]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang:
Adder Neural Networks. CoRR abs/2105.14202 (2021) - [i36]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) - [i35]Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang:
Federated Learning with Positive and Unlabeled Data. CoRR abs/2106.10904 (2021) - [i34]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. CoRR abs/2106.15941 (2021) - [i33]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) - [i32]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) - 2020
- [j29]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) - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao:
On Positive-Unlabeled Classification in GAN. CVPR 2020: 8382-8390 - [c77]Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian:
Discernible Image Compression. ACM Multimedia 2020: 1561-1569 - [c76]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS 2020 - [c75]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 - [c74]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 - [i31]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) - [i30]Zhaohui Yang, Yunhe Wang, Chao Xu, Chang Xu:
Discernible Compressed Images via Deep Perception Consistency. CoRR abs/2002.06810 (2020) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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)
2010 – 2019
- 2019
- [j28]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) - [c73]Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Smooth Deep Image Generator from Noises. AAAI 2019: 3731-3738 - [c72]Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen:
Revisiting Perspective Information for Efficient Crowd Counting. CVPR 2019: 7279-7288 - [c71]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 - [c70]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 - [c69]Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao:
Learning from Bad Data via Generation. NeurIPS 2019: 6042-6053 - [i22]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) - [i21]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) - [i20]Chang Xu, Dacheng Tao, Chao Xu:
Multi-View Intact Space Learning. CoRR abs/1904.02340 (2019) - [i19]Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu:
Decomposition-Based Transfer Distance Metric Learning for Image Classification. CoRR abs/1904.03846 (2019) - [i18]Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu:
Multi-View Matrix Completion for Multi-Label Image Classification. CoRR abs/1904.03901 (2019) - [i17]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) - [i16]Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu:
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification. CoRR abs/1904.04088 (2019) - [i15]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) - [i14]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) - [i13]Zhaohui Yang, Miaojing Shi, Yannis Avrithis, Chao Xu, Vittorio Ferrari:
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images. CoRR abs/1912.00384 (2019) - [i12]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
- [j27]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) - [c68]Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao:
Reinforced Multi-Label Image Classification by Exploring Curriculum. AAAI 2018: 3183-3190 - [c67]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Adversarial Learning of Portable Student Networks. AAAI 2018: 4260-4267 - [c66]Shan You, Chang Xu, Chao Xu, Dacheng Tao:
Learning With Single-Teacher Multi-Student. AAAI 2018: 4390-4397 - [c65]Kai Han, Yunhe Wang, Chao Zhang, Chao Li, Chao Xu:
Autoencoder Inspired Unsupervised Feature Selection. ICASSP 2018: 2941-2945 - [c64]Shan You, Chang Xu, Chao Xu:
Online Dictionary Learning with Confidence. ICDM 2018: 707-716 - [c63]Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao:
Towards Evolutionary Compression. KDD 2018: 2476-2485 - [c62]Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao:
Learning Versatile Filters for Efficient Convolutional Neural Networks. NeurIPS 2018: 1615-1625 - [i11]Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen:
Perspective-Aware CNN For Crowd Counting. CoRR abs/1807.01989 (2018) - [i10]Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao:
Robust Student Network Learning. CoRR abs/1807.11158 (2018) - [i9]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Learning Student Networks via Feature Embedding. CoRR abs/1812.06597 (2018) - 2017
- [j26]Pingping Wu, Hong Liu, Chao Xu, Yuan Gao, Zheyuan Li, Xuewu Zhang:
How do you smile? Towards a comprehensive smile analysis system. Neurocomputing 235: 245-254 (2017) - [j25]Yunhe Wang, Chang Xu, Shan You, Chao Xu, Dacheng Tao:
DCT Regularized Extreme Visual Recovery. IEEE Trans. Image Process. 26(7): 3360-3371 (2017) - [c61]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 - [c60]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Beyond RPCA: Flattening Complex Noise in the Frequency Domain. AAAI 2017: 2761-2767 - [c59]Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu:
Fast Compressive Phase Retrieval under Bounded Noise. AAAI 2017: 2884-2890 - [c58]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Beyond Filters: Compact Feature Map for Portable Deep Model. ICML 2017: 3703-3711 - [c57]Meng Liu, Chang Xu, Chao Xu, Dacheng Tao:
Fast SVM Trained by Divide-and-Conquer Anchors. IJCAI 2017: 2322-2328 - [c56]Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao:
Multi-Positive and Unlabeled Learning. IJCAI 2017: 3182-3188 - [c55]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Privileged Multi-label Learning. IJCAI 2017: 3336-3342 - [c54]Shan You, Chang Xu, Chao Xu, Dacheng Tao:
Learning from Multiple Teacher Networks. KDD 2017: 1285-1294 - [i8]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Privileged Multi-label Learning. CoRR abs/1701.07194 (2017) - [i7]Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao:
Towards Evolutional Compression. CoRR abs/1707.08005 (2017) - 2016
- [j24]Yong Luo, Yonggang Wen, Dacheng Tao, Jie Gui, Chao Xu:
Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification. IEEE Trans. Image Process. 25(1): 414-427 (2016) - [j23]Chang Xu, Tongliang Liu, Dacheng Tao, Chao Xu:
Local Rademacher Complexity for Multi-Label Learning. IEEE Trans. Image Process. 25(3): 1495-1507 (2016) - [j22]Yunhe Wang, Miaojing Shi, Shan You, Chao Xu:
DCT Inspired Feature Transform for Image Retrieval and Reconstruction. IEEE Trans. Image Process. 25(9): 4406-4420 (2016) - [c53]Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen:
Tensor canonical correlation analysis for multi-view dimension reduction. ICDE 2016: 1460-1461 - [c52]Chang Xu, Dacheng Tao, Chao Xu:
Robust Extreme Multi-label Learning. KDD 2016: 1275-1284 - [c51]Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu:
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. NIPS 2016: 253-261 - [i6]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Streaming Label Learning for Modeling Labels on the Fly. CoRR abs/1604.05449 (2016) - [i5]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) - [i4]Chang Xu, Dacheng Tao, Chao Xu:
Streaming View Learning. CoRR abs/1604.08291 (2016) - 2015
- [j21]Chang Xu, Dacheng Tao, Yangxi Li, Chao Xu:
Large-margin multi-view Gaussian process. Multim. Syst. 21(2): 147-157 (2015) - [j20]Chang Xu, Dacheng Tao, Chao Xu:
Multi-View Intact Space Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2531-2544 (2015) - [j19]Yong Luo, Tongliang Liu, Dacheng Tao, Chao Xu:
Multiview Matrix Completion for Multilabel Image Classification. IEEE Trans. Image Process. 24(8): 2355-2368 (2015) - [j18]Chang Xu, Dacheng Tao, Chao Xu:
Multi-View Learning With Incomplete Views. IEEE Trans. Image Process. 24(12): 5812-5825 (2015) - [j17]Miaojing Shi, Xinghai Sun, Dacheng Tao, Chao Xu, George Baciu, Hong Liu:
Exploring Spatial Correlation for Visual Object Retrieval. ACM Trans. Intell. Syst. Technol. 6(2): 24:1-24:21 (2015) - [j16]Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen:
Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction. IEEE Trans. Knowl. Data Eng. 27(11): 3111-3124 (2015) - [j15]Yuan Gao, Miaojing Shi, Dacheng Tao, Chao Xu:
Database Saliency for Fast Image Retrieval. IEEE Trans. Multim. 17(3): 359-369 (2015) - [c50]Chang Xu, Dacheng Tao, Chao Xu:
Large-Margin Multi-Label Causal Feature Learning. AAAI 2015: 1924-1930 - [c49]Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen:
Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification. AAAI 2015: 2778-2784 - [c48]Haibo Shi, Yong Luo, Chao Xu, Yonggang Wen:
Manifold Regularized Transfer Distance Metric Learning. BMVC 2015: 158.1-158.11 - [c47]Chang Xu, Dacheng Tao, Chao Xu:
Multi-view Self-Paced Learning for Clustering. IJCAI 2015: 3974-3980 - [i3]Yong Luo, Dacheng Tao,