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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
- 2024
[j37]Bin Fan, Zhexiong Wan, Boxin Shi, Chao Xu, Yuchao Dai:
Unified Video Reconstruction for Rolling Shutter and Global Shutter Cameras. IEEE Trans. Image Process. 33: 6821-6835 (2024)- [c105]Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang:
Image Processing GNN: Breaking Rigidity in Super-Resolution. CVPR 2024: 24108-24117 - [c104]Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang:
Multiscale Positive-Unlabeled Detection of AI-Generated Texts. ICLR 2024 - [i48]Chu Zhou, Minggui Teng, Xinyu Zhou, Chao Xu, Boxin Shi:
Learning to Deblur Polarized Images. CoRR abs/2402.18134 (2024) - [i47]Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang:
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. CoRR abs/2405.02730 (2024) - [i46]Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang:
Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation. CoRR abs/2407.00676 (2024) - [i45]Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang:
MemoryFormer: Minimize Transformer Computation by Removing Fully-Connected Layers. CoRR abs/2411.12992 (2024) - 2023
- [j36]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) - [j35]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) - [j34]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) - [c103]Chu Zhou, Minggui Teng, Youwei Lyu, Si Li, Chao Xu, Boxin Shi:
Polarization-Aware Low-Light Image Enhancement. AAAI 2023: 3742-3750 - [c102]Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang:
Network Expansion For Practical Training Acceleration. CVPR 2023: 20269-20279 - [c101]Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang:
Towards Higher Ranks via Adversarial Weight Pruning. NeurIPS 2023 - [i44]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) - [i43]Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang:
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? CoRR abs/2306.00693 (2023) - [i42]Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang:
Towards Higher Ranks via Adversarial Weight Pruning. CoRR abs/2311.17493 (2023) - [i41]Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao:
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. CoRR abs/2312.17276 (2023) - 2022
- [j33]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) - [j32]Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin:
Training Neural Networks by Lifted Proximal Operator Machines. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3334-3348 (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]