Chang Xu

According to our database, Chang Xu authored at least 244 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Anti-Compression Contrastive Facial Forgery Detection.

Jiajun Huang, Chengbin Du, Xinqi Zhu, Siqi Ma, Surya Nepal, Chang Xu

IEEE Trans. Multim., 2024

Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization.

Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu

IEEE Trans. Multim., 2024

A Credential Usage Study: Flow-Aware Leakage Detection in Open-Source Projects.

Ruidong Han, Huihui Gong, Siqi Ma, Juanru Li, Chang Xu, Elisa Bertino, Surya Nepal, Zhuo Ma, Jianfeng Ma

IEEE Trans. Inf. Forensics Secur., 2024

Data-efficient Large Vision Models through Sequential Autoregression.

Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu

CoRR, 2024

2023

Skeleton-Based Human Motion Prediction With Privileged Supervision.

Minjing Dong, Chang Xu

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution.

Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution.

Zhijian Wu, Wenhui Liu, Jun Li, Chang Xu, Dingjiang Huang

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Searching for Network Width With Bilaterally Coupled Network.

Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Neural Architecture Search via Proxy Validation.

Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Adversarial Recurrent Time Series Imputation.

Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Bilinear Graph Networks for Visual Question Answering.

Dalu Guo, Chang Xu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Improving Lightweight AdderNet via Distillation From ℓ₂ to ℓ₁-norm.

Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu

IEEE Trans. Image Process., 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

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.

CoRR, 2023

Imitation Learning from Purified Demonstration.

Yunke Wang, Minjing Dong, Bo Du, Chang Xu

CoRR, 2023

Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks.

Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu

CoRR, 2023

MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field.

Zijiang Yang, Zhongwei Qiu, Chang Xu, Dongmei Fu

CoRR, 2023

Efficient Transfer Learning in Diffusion Models via Adversarial Noise.

Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu

CoRR, 2023

Boosting Diffusion Models with an Adaptive Momentum Sampler.

Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu

CoRR, 2023

SimMatchV2: Semi-Supervised Learning with Graph Consistency.

Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu

CoRR, 2023

Neural Architecture Retrieval.

Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu

CoRR, 2023

Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation.

Zhongwei Qiu, Qiansheng Yang, Jian Wang, Xiyu Wang, Chang Xu, Dongmei Fu, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang

CoRR, 2023

GPT Self-Supervision for a Better Data Annotator.

Xiaohuan Pei, Yanxi Li, Chang Xu

CoRR, 2023

Knowledge Diffusion for Distillation.

Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu

CoRR, 2023

AMD: Autoregressive Motion Diffusion.

Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li

CoRR, 2023

Can GPT-4 Perform Neural Architecture Search?

Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, Samuel Albanie

CoRR, 2023

Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection.

Chuyang Zhou, Jiajun Huang, Daochang Liu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu

CoRR, 2023

Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense.

Zunzhi You, Daochang Liu, Chang Xu

CoRR, 2023

Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense.

Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stable Diffusion is Unstable.

Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Schedule in Diffusion Probabilistic Models.

Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models.

Ziqing Lu, Chang Xu, Bo Du

Proceedings of the International Joint Conference on Neural Networks, 2023

Calibrating a Deep Neural Network with Its Predecessors.

Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dual Focal Loss for Calibration.

Linwei Tao, Minjing Dong, Chang Xu

Proceedings of the International Conference on Machine Learning, 2023

PixelAsParam: A Gradient View on Diffusion Sampling with Guidance.

AnhDung Dinh, Daochang Liu, Chang Xu

Proceedings of the International Conference on Machine Learning, 2023

Masked Distillation with Receptive Tokens.

Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Diffusion Action Segmentation.

Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Personalized Image Generation for Color Vision Deficiency Population.

Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation with Progressive Video Transformers.

Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Trade-off between Robustness and Accuracy of Vision Transformers.

Yanxi Li, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adversarial Robustness via Random Projection Filters.

Minjing Dong, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Private Image Generation with Dual-Purpose Auxiliary Classifier.

Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ContraFeat: Contrasting Deep Features for Semantic Discovery.

Xinqi Zhu, Chang Xu, Dacheng Tao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations.

Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning.

Yunke Wang, Bo Du, Chang Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Neural Architecture Search for Wide Spectrum Adversarial Robustness.

Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

V-SVR+: Support Vector Regression With Variational Privileged Information.

Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu

IEEE Trans. Multim., 2022

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

Huaxi Huang, Junjie Zhang, Litao Yu, Jian Zhang, Qiang Wu, Chang Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

LocalDrop: A Hybrid Regularization for Deep Neural Networks.

Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Versatile Convolution Filters for Efficient Visual Recognition.

Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Optimizing Latent Distributions for Non-Adversarial Generative Networks.

Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Neural architecture tuning with policy adaptation.

Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu

Neurocomputing, 2022

GhostNets on Heterogeneous Devices via Cheap Operations.

Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian

Int. J. Comput. Vis., 2022

Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution.

Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu

CoRR, 2022

FastMIM: Expediting Masked Image Modeling Pre-training for Vision.

Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu

CoRR, 2022

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations.

Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chang Xu

CoRR, 2022

LightViT: Towards Light-Weight Convolution-Free Vision Transformers.

Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu

CoRR, 2022

Relational Self-Supervised Learning.

Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

CoRR, 2022

Multi-Tailed Vision Transformer for Efficient Inference.

Yunke Wang, Bo Du, Chang Xu

CoRR, 2022

Vulnerability Detection Using Deep Learning Based Function Classification.

Huihui Gong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu

Proceedings of the Network and System Security - 16th International Conference, 2022

GhostNetV2: Enhance Cheap Operation with Long-Range Attention.

Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Random Normalization Aggregation for Adversarial Defense.

Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition.

Yichao Cao, Xiu Su, Qingfei Tang, Shan You, Xiaobo Lu, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge Distillation from A Stronger Teacher.

Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sufficient Vision Transformer.

Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spatial-Channel Token Distillation for Vision MLPs.

Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu

Proceedings of the International Conference on Machine Learning, 2022

Relational Surrogate Loss Learning.

Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments.

Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu

Proceedings of the IEEE International Conference on Data Mining, 2022

Contrastive Code-Comment Pre-training.

Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu

Proceedings of the IEEE International Conference on Data Mining, 2022

Data Agnostic Filter Gating For Efficient Deep Networks.

Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya

Proceedings of the IEEE International Conference on Acoustics, 2022

One Size Does NOT Fit All: Data-Adaptive Adversarial Training.

Shuo Yang, Chang Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

ViTAS: Vision Transformer Architecture Search.

Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

SimMatch: Semi-supervised Learning with Similarity Matching.

Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeepFake Disrupter: The Detector of DeepFake Is My Friend.

Xueyu Wang, Jiajun Huang, Siqi Ma, Surya Nepal, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Image Patch is a Wave: Phase-Aware Vision MLP.

Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Patch Slimming for Efficient Vision Transformers.

Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hire-MLP: Vision MLP via Hierarchical Rearrangement.

Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CMT: Convolutional Neural Networks Meet Vision Transformers.

Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization.

Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GreedyNASv2: Greedier Search with a Greedy Path Filter.

Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Student Networks via Feature Embedding.

Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2021

Open-Set Hypothesis Transfer With Semantic Consistency.

Zeyu Feng, Chang Xu, Dacheng Tao

IEEE Trans. Image Process., 2021

Learning to reweight examples in multi-label classification.

Yongjian Zhong, Bo Du, Chang Xu

Neural Networks, 2021

CMT: Convolutional Neural Networks Meet Vision Transformers.

Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

CoRR, 2021

Vision Transformer Architecture Search.

Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

CoRR, 2021

Adder Neural Networks.

Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang

CoRR, 2021

ReSSL: Relational Self-Supervised Learning with Weak Augmentation.

Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Frequency Domain Approximation for Binary Neural Networks.

Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Augmented Shortcuts for Vision Transformers.

Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Architecture Dilation for Adversarial Robustness.

Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Handling Long-tailed Feature Distribution in AdderNets.

Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Stable and Robust AdderNets.

Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Empirical Study of Adder Neural Networks for Object Detection.

Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Workshop on Model Mining.

Shan You, Chang Xu, Fei Wang, Changshui Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

PLP 2021: Workshop on Programming Language Processing.

Chang Xu, Siqi Ma, David Lo

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations.

Yunke Wang, Chang Xu, Bo Du

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Commutative Lie Group VAE for Disentanglement Learning.

Xinqi Zhu, Chang Xu, Dacheng Tao

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Weight Imperfect Demonstrations.

Yunke Wang, Chang Xu, Bo Du, Honglak Lee

Proceedings of the 38th International Conference on Machine Learning, 2021

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

Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

Proceedings of the 38th International Conference on Machine Learning, 2021

Locally Free Weight Sharing for Network Width Search.

Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

Proceedings of the 9th International Conference on Learning Representations, 2021

Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries.

Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu

Proceedings of the IEEE International Conference on Data Mining, 2021

DeepFake MNIST+: A DeepFake Facial Animation Dataset.

Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Weakly Supervised Contrastive Learning.

Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Where and What? Examining Interpretable Disentangled Representations.

Xinqi Zhu, Chang Xu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.

Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ReNAS: Relativistic Evaluation of Neural Architecture Search.

Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Manifold Regularized Dynamic Network Pruning.

Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

BCNet: Searching for Network Width With Bilaterally Coupled Network.

Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Prioritized Architecture Sampling With Monto-Carlo Tree Search.

Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdderSR: Towards Energy Efficient Image Super-Resolution.

Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Positive-Unlabeled Data Purification in the Wild for Object Detection.

Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Object Detectors via Decoupled Features.

Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Student Networks in the Wild.

Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Pre-Trained Image Processing Transformer.

Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adversarial Robustness through Disentangled Representations.

Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

One-shot Graph Neural Architecture Search with Dynamic Search Space.

Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition.

Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

Iterative Privileged Learning.

Xue Li, Bo Du, Yipeng Zhang, Chang Xu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Student Network Learning.

Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

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

Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Jianhua Xu, Hong Zhang

IEEE Trans. Image Process., 2020

Long-Term Video Prediction via Criticization and Retrospection.

Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao

IEEE Trans. Image Process., 2020

Self-Supervised Pose Adaptation for Cross-Domain Image Animation.

Chaoyue Wang, Chang Xu, Dacheng Tao

IEEE Trans. Artif. Intell., 2020

Joint hyperspectral unmixing for urban computing.

Jihai Yang, Mingmei Jia, Chang Xu, Shijun Li

GeoInformatica, 2020

An innovative multi-label learning based algorithm for city data computing.

Mengqing Mei, Yongjian Zhong, Fazhi He, Chang Xu

GeoInformatica, 2020

Data Agnostic Filter Gating for Efficient Deep Networks.

Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

CoRR, 2020

Adversarially Robust Neural Architectures.

Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu

CoRR, 2020

Multi-Task Pruning for Semantic Segmentation Networks.

Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu

CoRR, 2020

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens.

Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu

CoRR, 2020

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples.

Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu

CoRR, 2020

Discernible Compressed Images via Deep Perception Consistency.

Zhaohui Yang, Yunhe Wang, Chao Xu, Chang Xu

CoRR, 2020

Robust learning with imperfect privileged information.

Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao

Artif. Intell., 2020

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

Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Searching for Low-Bit Weights in Quantized Neural Networks.

Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kernel Based Progressive Distillation for Adder Neural Networks.

Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SCOP: Scientific Control for Reliable Neural Network Pruning.

Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adapting Neural Architectures Between Domains.

Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discernible Image Compression.

Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Neural Architecture Search in A Proxy Validation Loss Landscape.

Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu

Proceedings of the 37th International Conference on Machine Learning, 2020

Training Binary Neural Networks through Learning with Noisy Supervision.

Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Disentangled Representations with Latent Variation Predictability.

Xinqi Zhu, Chang Xu, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2020, 2020

On Dropping Clusters to Regularize Graph Convolutional Neural Networks.

Xikun Zhang, Chang Xu, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2020, 2020

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer.

Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu

Proceedings of the Computer Vision - ECCV 2020, 2020

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains.

Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

CARS: Continuous Evolution for Efficient Neural Architecture Search.

Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Semi-Supervised Assessor of Neural Architectures.

Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neuromorphic Camera Guided High Dynamic Range Imaging.

Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GhostNet: More Features From Cheap Operations.

Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On Positive-Unlabeled Classification in GAN.

Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection.

Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AdderNet: Do We Really Need Multiplications in Deep Learning?

Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Frequency Domain Compact 3D Convolutional Neural Networks.

Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Context Aware Graph Convolution for Skeleton-Based Action Recognition.

Xikun Zhang, Chang Xu, Dacheng Tao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Assessing Social License to Operate from the Public Discourse on Social Media.

Chang Xu, Cécile Paris, Ross Sparks, Surya Nepal, Keith Vander Linden

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data.

Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks.

Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Residual Dense Block Search for Image Super-Resolution.

Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Student Networks with Few Data.

Shumin Kong, Tianyu Guo, Shan You, Chang Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Distilling Portable Generative Adversarial Networks for Image Translation.

Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.

Yali Du, Meng Fang, Jinfeng Yi, Chang Xu, Jun Cheng, Dacheng Tao

IEEE Trans. Multim., 2019

ROMIR: Robust Multi-View Image Re-Ranking.

Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Ramamohanarao Kotagiri, Dacheng Tao

IEEE Trans. Knowl. Data Eng., 2019

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

Xinyuan Chen, Chang Xu, Xiaokang Yang, Li Song, Dacheng Tao

IEEE Trans. Image Process., 2019

Evolutionary Generative Adversarial Networks.

Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao

IEEE Trans. Evol. Comput., 2019

Learning structured and non-redundant representations with deep neural networks.

Jihai Yang, Wei Xiong, Shijun Li, Chang Xu

Pattern Recognit., 2019

Packing Convolutional Neural Networks in the Frequency Domain.

Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2019

RNAS: Architecture Ranking for Powerful Networks.

Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu

CoRR, 2019

Balanced Binary Neural Networks with Gated Residual.

Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu

CoRR, 2019

Full-Stack Filters to Build Minimum Viable CNNs.

Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu

CoRR, 2019

Graph Reasoning Networks for Visual Question Answering.

Dalu Guo, Chang Xu, Dacheng Tao

CoRR, 2019

Bringing Giant Neural Networks Down to Earth with Unlabeled Data.

Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu

CoRR, 2019

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification.

Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen

CoRR, 2019

Point Cloud Generation From Multiple Angles of Voxel Grids.

Shumin Kong, Fangzhou Shi, Chaoyue Wang, Chang Xu

IEEE Access, 2019

Spatial-Temporal Attention-Based Human Dynamics Retrospection.

Minjing Dong, Chang Xu

IEEE Access, 2019

Positive-Unlabeled Compression on the Cloud.

Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning from Bad Data via Generation.

Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Instance-wise Sparsity for Accelerating Deep Models.

Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attribute Aware Pooling for Pedestrian Attribute Recognition.

Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On Retrospecting Human Dynamics with Attention.

Minjing Dong, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Crafting Efficient Neural Graph of Large Entropy.

Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LegoNet: Efficient Convolutional Neural Networks with Lego Filters.

Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

Proceedings of the 36th International Conference on Machine Learning, 2019

Reinforced Molecule Generation with Heterogeneous States.

Fangzhou Shi, Shan You, Chang Xu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Approximated Bilinear Modules for Temporal Modeling.

Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Co-Evolutionary Compression for Unpaired Image Translation.

Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Supervised Representation Learning From Multi-Domain Data.

Zeyu Feng, Chang Xu, Dacheng Tao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Free Learning of Student Networks.

Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Watermarking to Attack Deep Neural Networks.

Gengxing Wang, Xinyuan Chen, Chang Xu

Proceedings of the IEEE International Conference on Acoustics, 2019

Image-Question-Answer Synergistic Network for Visual Dialog.

Dalu Guo, Chang Xu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Supervised Representation Learning by Rotation Feature Decoupling.

Zeyu Feng, Chang Xu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

STRIP: a defence against trojan attacks on deep neural networks.

Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith Chinthana Ranasinghe, Surya Nepal

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

Recognising Agreement and Disagreement between Stances with Reason Comparing Networks.

Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data.

Mike Li, Elija Perrier, Chang Xu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Smooth Deep Image Generator from Noises.

Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Perceptual Adversarial Networks for Image-to-Image Transformation.

Chaoyue Wang, Chang Xu, Chaohui Wang, Dacheng Tao

IEEE Trans. Image Process., 2018

Cost-Sensitive Feature Selection by Optimizing F-Measures.

Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

IEEE Trans. Image Process., 2018

Multi-Task Learning for Blind Source Separation.

Bo Du, Shaodong Wang, Chang Xu, Nan Wang, Liangpei Zhang, Dacheng Tao

IEEE Trans. Image Process., 2018

Matrix Factorization for Collaborative Budget Allocation.

Yali Du, Chang Xu, Dacheng Tao

IEEE Trans Autom. Sci. Eng., 2018

Multi-view manifold learning with locality alignment.

Yue Zhao, Xinge You, Shujian Yu, Chang Xu, Wei Yuan, Xiao-Yuan Jing, Taiping Zhang, Dacheng Tao

Pattern Recognit., 2018

Discriminative multi-view Privileged Information learning for image re-ranking.

Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao, Hong Zhang

CoRR, 2018

Learning Versatile Filters for Efficient Convolutional Neural Networks.

Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Evolutionary Compression.

Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

R-SVM+: Robust Learning with Privileged Information.

Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Independent Feature and Label Components for Multi-label Classification.

Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

Online Dictionary Learning with Confidence.

Shan You, Chang Xu, Chao Xu

Proceedings of the IEEE International Conference on Data Mining, 2018

Historical Gradient Boosting Machine.

Zeyu Feng, Chang Xu, Dacheng Tao

Proceedings of the GCAI-2018, 2018

Attention-GAN for Object Transfiguration in Wild Images.

Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2018, 2018

Cross-Target Stance Classification with Self-Attention Networks.

Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning With Single-Teacher Multi-Student.

Shan You, Chang Xu, Chao Xu, Dacheng Tao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adversarial Learning of Portable Student Networks.

Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reinforced Multi-Label Image Classification by Exploring Curriculum.

Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

DCT Regularized Extreme Visual Recovery.

Yunhe Wang, Chang Xu, Shan You, Chao Xu, Dacheng Tao

IEEE Trans. Image Process., 2017

Discriminative Multi-View Interactive Image Re-Ranking.

Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao

IEEE Trans. Image Process., 2017

Diversified dictionaries for multi-instance learning.

Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao

Pattern Recognit., 2017

SPA: Spatially Pooled Attributes for image retrieval.

Jun Li, Chang Xu, Wankou Yang, Changyin Sun

Neurocomputing, 2017

Towards Evolutional Compression.

Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao

CoRR, 2017

Learning from Multiple Teacher Networks.

Shan You, Chang Xu, Chao Xu, Dacheng Tao

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Privileged Multi-label Learning.

Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Positive and Unlabeled Learning.

Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Tag Disentangled Generative Adversarial Network for Object Image Re-rendering.

Chaoyue Wang, Chaohui Wang, Chang Xu, Dacheng Tao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Fast SVM Trained by Divide-and-Conquer Anchors.

Meng Liu, Chang Xu, Chao Xu, Dacheng Tao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collaborative Rating Allocation.

Yali Du, Chang Xu, Dacheng Tao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Privileged Matrix Factorization for Collaborative Filtering.

Yali Du, Chang Xu, Dacheng Tao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Beyond Filters: Compact Feature Map for Portable Deep Model.

Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

Proceedings of the 34th International Conference on Machine Learning, 2017

Beyond RPCA: Flattening Complex Noise in the Frequency Domain.

Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Cost-Sensitive Feature Selection via F-Measure Optimization Reduction.

Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Local Rademacher Complexity for Multi-Label Learning.

Chang Xu, Tongliang Liu, Dacheng Tao, Chao Xu

IEEE Trans. Image Process., 2016

SERVE: Soft and Equalized Residual VEctors for image retrieval.

Jun Li, Chang Xu, Mingming Gong, Junliang Xing, Wankou Yang, Changyin Sun

Neurocomputing, 2016

Streaming Label Learning for Modeling Labels on the Fly.

Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao

CoRR, 2016

Streaming View Learning.

Chang Xu, Dacheng Tao, Chao Xu

CoRR, 2016

Parts for the Whole: The DCT Norm for Extreme Visual Recovery.

Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu

CoRR, 2016

CNNpack: Packing Convolutional Neural Networks in the Frequency Domain.

Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Robust Extreme Multi-label Learning.

Chang Xu, Dacheng Tao, Chao Xu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Multi-View Learning With Incomplete Views.

Chang Xu, Dacheng Tao, Chao Xu

IEEE Trans. Image Process., 2015

Multi-Task Pose-Invariant Face Recognition.

Changxing Ding, Chang Xu, Dacheng Tao

IEEE Trans. Image Process., 2015

Multi-View Intact Space Learning.

Chang Xu, Dacheng Tao, Chao Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Large-margin multi-view Gaussian process.

Chang Xu, Dacheng Tao, Yangxi Li, Chao Xu

Multim. Syst., 2015

Multi-view Self-Paced Learning for Clustering.

Chang Xu, Dacheng Tao, Chao Xu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Large-Margin Multi-Label Causal Feature Learning.

Chang Xu, Dacheng Tao, Chao Xu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Large-Margin Multi-ViewInformation Bottleneck.

Chang Xu, Dacheng Tao, Chao Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Large-margin Weakly Supervised Dimensionality Reduction.

Chang Xu, Dacheng Tao, Chao Xu, Yong Rui

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification.

Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen

IEEE Trans. Neural Networks Learn. Syst., 2013

A Survey on Multi-view Learning

Chang Xu, Dacheng Tao, Chao Xu

CoRR, 2013

Large-margin multi-view Gaussian process for image classification.

Chang Xu, Dacheng Tao, Yangxi Li, Chao Xu

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification.

Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Learning to rerank images with enhanced spatial verification.

Chang Xu, Yangxi Li, Chao Zhou, Chao Xu

Proceedings of the 19th IEEE International Conference on Image Processing, 2012