Chang Xu

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 287

Top Venues

Publications

Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. IEEE Trans. Multim. 26 (2024)
Ruidong Han, Huihui Gong, Siqi Ma, Juanru Li, Chang Xu, Elisa Bertino, Surya Nepal, Zhuo Ma, Jianfeng Ma
A Credential Usage Study: Flow-Aware Leakage Detection in Open-Source Projects. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
Data-efficient Large Vision Models through Sequential Autoregression. CoRR (2024)
Hongyan Xu, Xiaohuan Pei, Xiu Su, Shan You, Chang Xu
TCNAS: Transformer Architecture Evolving in Code Clone Detection. ICASSP (2024)
Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
A Benchmark Study on Calibration. ICLR (2024)
Xiu Su, Shan You, Hongyan Xu, Xiuxing Li, Jun Long, Yi Chen, Chang Xu
Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models. ICASSP (2024)
Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR (2024)
Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu
AMD: Autoregressive Motion Diffusion. AAAI (2024)
Jiajun Huang, Chengbin Du, Xinqi Zhu, Siqi Ma, Surya Nepal, Chang Xu
Anti-Compression Contrastive Facial Forgery Detection. IEEE Trans. Multim. 26 (2024)
Daochang Liu, Axel Hu, Mubarak Shah, Chang Xu
Surgical Triplet Recognition via Diffusion Model. CoRR (2024)
Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
Neural Architecture Retrieval. ICLR (2024)
Yunke Wang, Bo Du, Wenyuan Wang, Chang Xu
Multi-tailed vision transformer for efficient inference. Neural Networks 174 (2024)
Chen Chen, Daochang Liu, Chang Xu
Towards Memorization-Free Diffusion Models. CoRR (2024)
Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu
Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR (2024)
Linwei Tao, Minjing Dong, Chang Xu
Dual Focal Loss for Calibration. ICML (2023)
Dalu Guo, Chang Xu, Dacheng Tao
Bilinear Graph Networks for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Xiaohuan Pei, Yanxi Li, Chang Xu
GPT Self-Supervision for a Better Data Annotator. CoRR (2023)
Zhijian Wu, Wenhui Liu, Jun Li, Chang Xu, Dingjiang Huang
SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 33 (11) (2023)
Zunzhi You, Daochang Liu, Chang Xu
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. CoRR (2023)
Minjing Dong, Chang Xu
Adversarial Robustness via Random Projection Filters. CVPR (2023)
Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu
Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Yunke Wang, Minjing Dong, Bo Du, Chang Xu
Imitation Learning from Purified Demonstration. CoRR (2023)
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
Calibrating a Deep Neural Network with Its Predecessors. IJCAI (2023)
Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu
Neural Architecture Search for Wide Spectrum Adversarial Robustness. AAAI (2023)
Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
-norm. IEEE Trans. Image Process. 32 (2023)
Ziqing Lu, Chang Xu, Bo Du
MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. IJCNN (2023)
AnhDung Dinh, Daochang Liu, Chang Xu
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML (2023)
Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. AAAI (2023)
Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
Diffusion Action Segmentation. CoRR (2023)
Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu
Personalized Image Generation for Color Vision Deficiency Population. ICCV (2023)
Yunke Wang, Bo Du, Chang Xu
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. AAAI (2023)
Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. NeurIPS (2023)
Zijiang Yang, Zhongwei Qiu, Chang Xu, Dongmei Fu
MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field. CoRR (2023)
Minjing Dong, Chang Xu
Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu
Stable Diffusion is Unstable. NeurIPS (2023)
Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
Searching for Network Width With Bilaterally Coupled Network. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu
SimMatchV2: Semi-Supervised Learning with Graph Consistency. CoRR (2023)
Yunke Wang, Bo Du, Chang Xu
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. CoRR (2023)
Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
Neural Architecture Retrieval. CoRR (2023)
Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu
Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jiajun Huang, Xinqi Zhu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu
Anti-Compression Contrastive Facial Forgery Detection. CoRR (2023)
Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
Diffusion Action Segmentation. ICCV (2023)
Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
Knowledge Diffusion for Distillation. CoRR (2023)
Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, Samuel Albanie
Can GPT-4 Perform Neural Architecture Search? CoRR (2023)
Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu
Stable Diffusion is Unstable. CoRR (2023)
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) (2022)
Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu
Contrastive Code-Comment Pre-training. ICDM (2022)
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
Patch Slimming for Efficient Vision Transformers. CVPR (2022)
Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
LightViT: Towards Light-Weight Convolution-Free Vision Transformers. CoRR (2022)
Yunke Wang, Bo Du, Chang Xu
Multi-Tailed Vision Transformer for Efficient Inference. CoRR (2022)
Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu
ViTAS: Vision Transformer Architecture Search. ECCV (21) (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS (2022)
Huihui Gong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
Vulnerability Detection Using Deep Learning Based Function Classification. NSS (2022)
Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
GreedyNASv2: Greedier Search with a Greedy Path Filter. CVPR (2022)
Huaxi Huang, Junjie Zhang, Litao Yu, Jian Zhang, Qiang Wu, Chang Xu
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples. IEEE Trans. Circuits Syst. Video Technol. 32 (2) (2022)
Shuo Yang, Chang Xu
One Size Does NOT Fit All: Data-Adaptive Adversarial Training. ECCV (5) (2022)
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR (2022)
Yichao Cao, Xiu Su, Qingfei Tang, Shan You, Xiaobo Lu, Chang Xu
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition. NeurIPS (2022)
Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu
Relational Surrogate Loss Learning. ICLR (2022)
Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
Masked Distillation with Receptive Tokens. CoRR (2022)
Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama
LocalDrop: A Hybrid Regularization for Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya
Data Agnostic Filter Gating For Efficient Deep Networks. ICASSP (2022)
Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu
Spatial-Channel Token Distillation for Vision MLPs. ICML (2022)
Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu
SimMatch: Semi-supervised Learning with Similarity Matching. CoRR (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR (2022)
Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu
Neural architecture tuning with policy adaptation. Neurocomputing 485 (2022)
Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
Relational Self-Supervised Learning. CoRR (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. 130 (4) (2022)
Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
Searching for Network Width with Bilaterally Coupled Network. CoRR (2022)
Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
Random Normalization Aggregation for Adversarial Defense. NeurIPS (2022)
Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu
Sufficient Vision Transformer. KDD (2022)
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
Knowledge Distillation from A Stronger Teacher. CoRR (2022)
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)
Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
DyRep: Bootstrapping Training with Dynamic Re-parameterization. CoRR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR (2022)
Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chang Xu
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. CoRR (2022)
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)
Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
Knowledge Distillation from A Stronger Teacher. NeurIPS (2022)
Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
DyRep: Bootstrapping Training with Dynamic Re-parameterization. CVPR (2022)
Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu
SimMatch: Semi-supervised Learning with Similarity Matching. CVPR (2022)
Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24 (2022)
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR (2022)
Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
Vision Transformer Architecture Search. CoRR (2021)
Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. ICML (2021)
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
Distilling Object Detectors via Decoupled Features. CoRR (2021)
Xinqi Zhu, Chang Xu, Dacheng Tao
Commutative Lie Group VAE for Disentanglement Learning. CoRR (2021)
Yunke Wang, Chang Xu, Bo Du
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. IJCAI (2021)
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
Distilling Object Detectors via Decoupled Features. CVPR (2021)
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)
Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. ICCV (2021)
Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR (2021)
Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang
Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR (2021)
Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. CoRR (2021)
Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
Weakly Supervised Contrastive Learning. ICCV (2021)
Zeyu Feng, Chang Xu, Dacheng Tao
Open-Set Hypothesis Transfer With Semantic Consistency. IEEE Trans. Image Process. 30 (2021)
Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
Weakly Supervised Contrastive Learning. CoRR (2021)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR (2021)
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 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chang Xu