Chang Xu

发表

Locally Free Weight Sharing for Network Width Search pdf

Tao Huang, Fei Wang, Changshui Zhang, 2021, ICLR 2021 Spotlight.

Supplementary Material UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging

Chang Xu, Boxin Shi, Tiejun Huang, 2020 .

GhostNet: More Features From Cheap Operations

Jianyuan Guo, Qi Tian, Kai Han, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Pre-Trained Image Processing Transformer

Wen Gao, Siwei Ma, Chunjing Xu, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adapting Neural Architectures Between Domains (Supplementary Material)

Chang Xu, Yunhe Wang, Zhaohui Yang, 2020 .

GhostNet: More Features From Cheap Operations

Chang Xu, Kai Han, Yunhe Wang, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Manifold Regularized Dynamic Network Pruning

Dacheng Tao, Yixing Xu, Chang Xu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Research on the Topic Evolution of Digital Economy Based on LDA

Chang Xu, Guohua Deng, Yixuan Shen, 2022 .

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations

Chang Xu, Shan You, Mingkai Zheng, 2022, AAAI.

Adder Neural Networks pdf

Chao Xu, Chunjing Xu, Chang Xu, 2021, ArXiv.

Learning Convolutions with Only Additions

Chang Xu, Chao Xu, Yunhe Wang, 2021 .

Universal Adder Neural Networks

Chang Xu, Chao Xu, Yunhe Wang, 2021, 2105.14202.

Iterative Privileged Learning

Bo Du, Dacheng Tao, Yipeng Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Historical Gradient Boosting Machine

Dacheng Tao, Chang Xu, Zeyu Feng, 2018, GCAI.

A colorimetric and ratiometric fluorescent probe for selective detection and cellular imaging of glutathione.

Chang Xu, Hongda Li, Bingzhu Yin, 2015, Biosensors & bioelectronics.

Multi-Task Pruning for Semantic Segmentation Networks pdf

Yiman Zhang, Xinghao Chen, Yunhe Wang, 2020, ArXiv.

Co-Evolutionary Compression for Unpaired Image Translation

Xu Jia, Kai Han, Qi Tian, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer

Xiaokang Yang, Dacheng Tao, Li Song, 2019, IEEE Transactions on Image Processing.

Adversarial Recurrent Time Series Imputation

Shuo Yang, Yunhe Wang, Chang Xu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Preparation and performance of coal-based activated carbon based on an orthogonal experimental study

Chang Xu, Dongyang Li, Lichao Ge, 2023, Energy.

Initial mean arterial blood pressure (MABP) measurement is a risk factor for mortality in hypertensive COVID-19 positive hospitalized patients

Chang Xu, Raj Gaurav Rohatgi, F. Koraishy, 2023, PloS one.

Data-Free Learning of Student Networks

Qi Tian, Chao Xu, Zhaohui Yang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Cleanliness prediction of rusty iron in laser cleaning using convolutional neural networks

Yinghui Zhang, Bo Sun, Jun He, 2020, Applied Physics A.

Robust learning with imperfect privileged information

Bo Du, Xue Li, Yipeng Zhang, 2020, Artif. Intell..

Efficient Residual Dense Block Search for Image Super-Resolution

Chang Xu, Xu Jia, Yunhe Wang, 2019, AAAI.

AdderSR: Towards Energy Efficient Image Super-Resolution

Chunjing Xu, Chang Xu, Dehua Song, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Balanced Binary Neural Networks with Gated Residual

Chang Xu, Xianglong Liu, Kai Han, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neuromorphic Camera Guided High Dynamic Range Imaging

Tiejun Huang, Chang Xu, Yehui Tang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Weakly Supervised Contrastive Learning pdf

Fei Wang, Chen Qian, Changshui Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Effect of Fe on the pyrolysis products of lignin, cellulose and hemicellulose, and the formation of carbon nanotubes

Chang Xu, H. Chu, Lichao Ge, 2023, Renewable Energy.

Learning from Multiple Teacher Networks

Dacheng Tao, Chang Xu, Shan You, 2017, KDD.

CARS: Continuous Evolution for Efficient Neural Architecture Search

Chang Xu, Boxin Shi, Chao Xu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ReSSL: Relational Self-Supervised Learning with Weak Augmentation pdf

Fei Wang, Changshui Zhang, Chen Qian, 2021, NeurIPS.

Learning Frequency Domain Approximation for Binary Neural Networks pdf

Kai Han, Yixing Xu, Chunjing Xu, 2021, NeurIPS.

Distilling Object Detectors via Decoupled Features

Kai Han, Chunjing Xu, Chang Xu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Optimizing Latent Distributions for Non-Adversarial Generative Networks

Dacheng Tao, Boxin Shi, Chao Xu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Positive-Unlabeled Compression on the Cloud

Dacheng Tao, Kai Han, Yunhe Wang, 2019, NeurIPS.

AdderNet: Do We Really Need Multiplications in Deep Learning?

Chang Xu, Boxin Shi, Chao Xu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Student Networks in the Wild

Chao Xu, Chunjing Xu, Chang Xu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Weight Imperfect Demonstrations

Chang Xu, Chang Xu, Honglak Lee, 2021, ICML.

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples pdf

Jian Zhang, Junjie Zhang, Qiang Wu, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Patch Slimming for Efficient Vision Transformers

Chang Xu, D. Tao, Kai Han, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Locally Free Weight Sharing for Network Width Search

Chang Xu, C. Qian, Changshui Zhang, 2021, ICLR.

Prioritized Architecture Sampling with Monto-Carlo Tree Search

Fei Wang, Chang Xu, Changshui Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Student Networks with Few Data

Chang Xu, Tianyu Guo, Shan You, 2020, AAAI.

Frequency Domain Compact 3D Convolutional Neural Networks

Qi Tian, Yunhe Wang, Chunjing Xu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SCOP: Scientific Control for Reliable Neural Network Pruning

Chang Xu, D. Tao, Yunhe Wang, 2020, NeurIPS.

Dot Distance for Tiny Object Detection in Aerial Images

Wen Yang, Chang Xu, Jinwang Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Searching for Low-Bit Weights in Quantized Neural Networks pdf

Dacheng Tao, Zhaohui Yang, Chao Xu, 2020, NeurIPS.

Training Binary Neural Networks through Learning with Noisy Supervision

Enhua Wu, Kai Han, Yunhe Wang, 2020, ICML.

Hire-MLP: Vision MLP via Hierarchical Rearrangement pdf

Kai Han, Yehui Tang, Chang Xu, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Disentangled Representations with Latent Variation Predictability

Chang Xu, Xinqi Zhu, Dacheng Tao, 2020, ECCV.

LocalDrop: A Hybrid Regularization for Deep Neural Networks

Bo Du, Masashi Sugiyama, Lefei Zhang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adapting Neural Architectures Between Domains

Zhaohui Yang, Yunhe Wang, Yanxi Li, 2020, NeurIPS.

Learning Frequency-aware Dynamic Network for Efficient Super-Resolution pdf

Chunjing Xu, Chang Xu, Dehua Song, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Context Aware Graph Convolution for Skeleton-Based Action Recognition

Dacheng Tao, Chang Xu, Xikun Zhang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning pdf

Jian Zhang, Junjie Zhang, Qiang Wu, 2020, AAAI.

Towards Stable and Robust AdderNets (Supplementary Material)

Chang Xu, Yunhe Wang, Xinghao Chen, 2022 .

Robust Student Network Learning

Dacheng Tao, Chao Xu, Boxin Shi, 2018, IEEE Transactions on Neural Networks and Learning Systems.

UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging

Boxin Shi, Tiejun Huang, Jin Han, 2020, NeurIPS.

Bilinear Graph Networks for Visual Question Answering

Chang Xu, D. Tao, Dalu Guo, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Self-Supervised Representation Learning From Multi-Domain Data

Chang Xu, Dacheng Tao, Zeyu Feng, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Kernel Based Progressive Distillation for Adder Neural Networks

Chang Xu, Yunhe Wang, Wei Zhang, 2020, NeurIPS.

ReNAS: Relativistic Evaluation of Neural Architecture Search

Chang Xu, Kai Han, Yunhe Wang, 2019, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Attribute Aware Pooling for Pedestrian Attribute Recognition pdf

Kai Han, Yunhe Wang, Chunjing Xu, 2019, IJCAI.

K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs

Chang Xu, Jingxin Liu, You Song, 2020, IEEE Transactions on Knowledge and Data Engineering.

BCNet: Searching for Network Width with Bilaterally Coupled Network

Fei Wang, Chang Xu, Changshui Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarially Robust Neural Architectures

Chang Xu, Yunhe Wang, Yanxi Li, 2020, ArXiv.

Adversarial Robustness through Disentangled Representations

Chang Xu, Tianyu Guo, Chang Xu, 2021, AAAI.

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks

Chao Xu, Yunhe Wang, Yixing Xu, 2020, AAAI.

A Semi-Supervised Assessor of Neural Architectures

Qi Tian, Chao Xu, Yunhe Wang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Tailed Vision Transformer for Efficient Inference

Chang Xu, Bo Du, Yunke Wang, 2022, Neural Networks.

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Chao Zhang, Zhaohui Yang, Han Wu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Data-Free Learning of Student Networks

Chao Xu, Zhaohui Yang, Boxin Shi, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning Binary Neurons with Noisy Supervision

Enhua Wu, Kai Han, Yunhe Wang, 2020, International Conference on Machine Learning.

Where and What? Examining Interpretable Disentangled Representations

Chang Xu, D. Tao, Xinqi Zhu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

Dacheng Tao, Xinghao Chen, Chunjing Xu, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations

Chang Xu, Chang Xu, Yunke Wang, 2021, IJCAI.

3D reconstruction of insects: an improved multifocus stacking and an evaluation of learning-based MVS approaches

Chuong V. Nguyen, Chang Xu, Benoit Maujean, 2021, 2021 International Conference on 3D Vision (3DV).

Open-Set Hypothesis Transfer With Semantic Consistency pdf

Dacheng Tao, Chang Xu, Zeyu Feng, 2020, IEEE Transactions on Image Processing.

Commutative Lie Group VAE for Disentanglement Learning pdf

Dacheng Tao, Chang Xu, Chang Xu, 2021, ICML.

Neural Architecture Search via Proxy Validation

Chang Xu, Yunhe Wang, Yanxi Li, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Neural Architecture Search in A Proxy Validation Loss Landscape

Yunhe Wang, Chang Xu, Yanxi Li, 2020, ICML.

RNAS: Architecture Ranking for Powerful Networks pdf

Qi Tian, Kai Han, Yunhe Wang, 2019, ArXiv.

One-shot Graph Neural Architecture Search with Dynamic Search Space

Chang Xu, Chang Xu, Yanxi Li, 2021, AAAI.

On Dropping Clusters to Regularize Graph Convolutional Neural Networks

Dacheng Tao, Chang Xu, Xikun Zhang, 2020, ECCV.

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data

Chao Xu, Boxin Shi, Chang Xu, 2020, AAAI.

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets pdf

Fei Wang, Chang Xu, Changshui Zhang, 2021, ICML.

Data Agnostic Filter Gating for Efficient Deep Networks pdf

Chen Qian, Fei Wang, Tao Huang, 2020, ArXiv.

On Positive-Unlabeled Classification in GAN

Dacheng Tao, Chao Xu, Yunhe Wang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Vision Transformer Architecture Search pdf

Fei Wang, Chang Xu, Changshui Zhang, 2021, ArXiv.

Discriminative Multi-View Privileged Information Learning for Image Re-Ranking

Changyin Sun, Hong Zhang, Jun Li, 2018, IEEE Transactions on Image Processing.

Pre-Trained Image Processing Transformer

Chang Xu, Yunhe Wang, Chunjing Xu, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Augmented Shortcuts for Vision Transformers pdf

Kai Han, Chang Xu, Yehui Tang, 2021, NeurIPS.

Robust Student Network Learning

Chang Xu, D. Tao, Boxin Shi, 2018, IEEE Transactions on Neural Networks and Learning Systems.

AMD: Autoregressive Motion Diffusion

Yi Ren, Chang Xu, Yixuan Shen, 2023, AAAI.

Dual Focal Loss for Calibration

Chang Xu, Linwei Tao, Changming Xu, 2023, ICML.

Mixed crushing and competitive leaching of all electrode material components and metal collector fluid in the spent lithium battery.

Chang Xu, Shuai Yan, Xiangcheng Zhu, 2024, Journal of environmental management.

Adversarial Robustness via Random Projection Filters

Chang Xu, Minjing Dong, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ReNAS: Relativistic Evaluation of Neural Architecture Search

Kai Han, Yixing Xu, Chunjing Xu, 2019, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).