Learning to rerank images with enhanced spatial verification. - Chang Xu 002; Yangxi Li; Chao Zhou; Chao Xu 006 (ICIP, 2012)

Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. - Yong Luo 002; Dacheng Tao; Chang Xu 002; Dongchen Li; Chao Xu 006 (AAAI, 2013)

Large-margin multi-view Gaussian process for image classification. - Chang Xu 002; Dacheng Tao; Yangxi Li; Chao Xu 006 (ICIMCS, 2013)

A Survey on Multi-view Learning - Chang Xu 002; Dacheng Tao; Chao Xu 006 (CoRR, 2013)

Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification. - Yong Luo 002; Dacheng Tao; Chang Xu 002; Chao Xu 006; Hong Liu 008; Yonggang Wen 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Large-margin Weakly Supervised Dimensionality Reduction. - Chang Xu 002; Dacheng Tao; Chao Xu 006; Yong Rui (ICML, 2014)

Large-Margin Multi-ViewInformation Bottleneck. - Chang Xu 002; Dacheng Tao; Chao Xu 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Large-Margin Multi-Label Causal Feature Learning. - Chang Xu 002; Dacheng Tao; Chao Xu 006 (AAAI, 2015)

Multi-view Self-Paced Learning for Clustering. - Chang Xu 002; Dacheng Tao; Chao Xu 006 (IJCAI, 2015)

Large-margin multi-view Gaussian process. - Chang Xu 002; Dacheng Tao; Yangxi Li; Chao Xu 006 (Multim. Syst., 2015)

Multi-View Intact Space Learning. - Chang Xu 002; Dacheng Tao; Chao Xu 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Multi-Task Pose-Invariant Face Recognition. - Changxing Ding; Chang Xu 002; Dacheng Tao (IEEE Trans. Image Process., 2015)

Multi-View Learning With Incomplete Views. - Chang Xu 002; Dacheng Tao; Chao Xu 006 (IEEE Trans. Image Process., 2015)

Robust Extreme Multi-label Learning. - Chang Xu 002; Dacheng Tao; Chao Xu 006 (KDD, 2016)

CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. - Yunhe Wang 001; Chang Xu 002; Shan You; Dacheng Tao; Chao Xu 006 (NIPS, 2016)

Parts for the Whole: The DCT Norm for Extreme Visual Recovery. - Yunhe Wang 001; Chang Xu 002; Shan You; Dacheng Tao; Chao Xu 006 (CoRR, 2016)

Streaming View Learning. - Chang Xu 002; Dacheng Tao; Chao Xu 006 (CoRR, 2016)

Streaming Label Learning for Modeling Labels on the Fly. - Shan You; Chang Xu 002; Yunhe Wang 001; Chao Xu 006; Dacheng Tao (CoRR, 2016)

SERVE: Soft and Equalized Residual VEctors for image retrieval. - Jun Li 033; Chang Xu 002; Mingming Gong; Junliang Xing; Wankou Yang; Changyin Sun 001 (Neurocomputing, 2016)

Local Rademacher Complexity for Multi-Label Learning. - Chang Xu 002; Tongliang Liu; Dacheng Tao; Chao Xu 006 (IEEE Trans. Image Process., 2016)

Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. - Meng Liu 003; Chang Xu 002; Yong Luo 002; Chao Xu 006; Yonggang Wen 001; Dacheng Tao (AAAI, 2017)

Beyond RPCA: Flattening Complex Noise in the Frequency Domain. - Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (AAAI, 2017)

Beyond Filters: Compact Feature Map for Portable Deep Model. - Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (ICML, 2017)

Privileged Matrix Factorization for Collaborative Filtering. - Yali Du 001; Chang Xu 002; Dacheng Tao (IJCAI, 2017)

Collaborative Rating Allocation. - Yali Du 001; Chang Xu 002; Dacheng Tao (IJCAI, 2017)

Fast SVM Trained by Divide-and-Conquer Anchors. - Meng Liu 003; Chang Xu 002; Chao Xu 006; Dacheng Tao (IJCAI, 2017)

Tag Disentangled Generative Adversarial Network for Object Image Re-rendering. - Chaoyue Wang; Chaohui Wang; Chang Xu 002; Dacheng Tao (IJCAI, 2017)

Multi-Positive and Unlabeled Learning. - Yixing Xu; Chang Xu 002; Chao Xu 006; Dacheng Tao (IJCAI, 2017)

Privileged Multi-label Learning. - Shan You; Chang Xu 002; Yunhe Wang 001; Chao Xu 006; Dacheng Tao (IJCAI, 2017)

Learning from Multiple Teacher Networks. - Shan You; Chang Xu 002; Chao Xu 006; Dacheng Tao (KDD, 2017)

Towards Evolutional Compression. - Yunhe Wang 001; Chang Xu 002; Jiayan Qiu; Chao Xu 006; Dacheng Tao (CoRR, 2017)

SPA: Spatially Pooled Attributes for image retrieval. - Jun Li 033; Chang Xu 002; Wankou Yang; Changyin Sun 001 (Neurocomputing, 2017)

Diversified dictionaries for multi-instance learning. - Maoying Qiao; Liu Liu 014; Jun Yu 002; Chang Xu 002; Dacheng Tao (Pattern Recognit., 2017)

Discriminative Multi-View Interactive Image Re-Ranking. - Jun Li 033; Chang Xu 002; Wankou Yang; Changyin Sun 001; Dacheng Tao (IEEE Trans. Image Process., 2017)

DCT Regularized Extreme Visual Recovery. - Yunhe Wang 001; Chang Xu 002; Shan You; Chao Xu 006; Dacheng Tao (IEEE Trans. Image Process., 2017)

Reinforced Multi-Label Image Classification by Exploring Curriculum. - Shiyi He; Chang Xu 002; Tianyu Guo 001; Chao Xu 006; Dacheng Tao (AAAI, 2018)

Adversarial Learning of Portable Student Networks. - Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (AAAI, 2018)

Learning With Single-Teacher Multi-Student. - Shan You; Chang Xu 002; Chao Xu 006; Dacheng Tao (AAAI, 2018)

Cross-Target Stance Classification with Self-Attention Networks. - Chang Xu 002; Cécile Paris; Surya Nepal; Ross Sparks (ACL (2), 2018)

Attention-GAN for Object Transfiguration in Wild Images. - Xinyuan Chen; Chang Xu 002; Xiaokang Yang 001; Dacheng Tao (ECCV (2), 2018)

Historical Gradient Boosting Machine. - Zeyu Feng; Chang Xu 002; Dacheng Tao (GCAI, 2018)

Online Dictionary Learning with Confidence. - Shan You; Chang Xu 002; Chao Xu 006 (ICDM, 2018)

Independent Feature and Label Components for Multi-label Classification. - Yongjian Zhong; Chang Xu 002; Bo Du 001; Lefei Zhang (ICDM, 2018)

R-SVM+: Robust Learning with Privileged Information. - Xue Li; Bo Du 001; Chang Xu 002; Yipeng Zhang 001; Lefei Zhang; Dacheng Tao (IJCAI, 2018)

Towards Evolutionary Compression. - Yunhe Wang 001; Chang Xu 002; Jiayan Qiu; Chao Xu 006; Dacheng Tao (KDD, 2018)

Learning Versatile Filters for Efficient Convolutional Neural Networks. - Yunhe Wang 001; Chang Xu 002; Chunjing Xu; Chao Xu 006; Dacheng Tao (NeurIPS, 2018)

Discriminative multi-view Privileged Information learning for image re-ranking. - Jun Li 033; Chang Xu 002; Wankou Yang; Changyin Sun 001; Dacheng Tao; Hong Zhang 013 (CoRR, 2018)

Multi-view manifold learning with locality alignment. - Yue Zhao; Xinge You; Shujian Yu; Chang Xu 002; Wei Yuan 001; Xiao-Yuan Jing; Taiping Zhang; Dacheng Tao (Pattern Recognit., 2018)

Matrix Factorization for Collaborative Budget Allocation. - Yali Du 001; Chang Xu 002; Dacheng Tao (IEEE Trans Autom. Sci. Eng., 2018)

Multi-Task Learning for Blind Source Separation. - Bo Du 001; Shaodong Wang; Chang Xu 002; Nan Wang 016; Liangpei Zhang 001; Dacheng Tao (IEEE Trans. Image Process., 2018)

Cost-Sensitive Feature Selection by Optimizing F-Measures. - Meng Liu 003; Chang Xu 002; Yong Luo 002; Chao Xu 006; Yonggang Wen 001; Dacheng Tao (IEEE Trans. Image Process., 2018)

Perceptual Adversarial Networks for Image-to-Image Transformation. - Chaoyue Wang; Chang Xu 002; Chaohui Wang; Dacheng Tao (IEEE Trans. Image Process., 2018)

Smooth Deep Image Generator from Noises. - Tianyu Guo 001; Chang Xu 002; Boxin Shi; Chao Xu 006; Dacheng Tao (AAAI, 2019)

Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. - Mike Li; Elija Perrier; Chang Xu 002 (AAAI, 2019)

Recognising Agreement and Disagreement between Stances with Reason Comparing Networks. - Chang Xu 002; Cécile Paris; Surya Nepal; Ross Sparks (ACL (1), 2019)

STRIP: a defence against trojan attacks on deep neural networks. - Yansong Gao 001; Chang Xu 002; Derui Wang; Shiping Chen 001; Damith Chinthana Ranasinghe; Surya Nepal (ACSAC, 2019)

Self-Supervised Representation Learning by Rotation Feature Decoupling. - Zeyu Feng; Chang Xu 002; Dacheng Tao (CVPR, 2019)

Image-Question-Answer Synergistic Network for Visual Dialog. - Dalu Guo; Chang Xu 002; Dacheng Tao (CVPR, 2019)

Adversarial Watermarking to Attack Deep Neural Networks. - Gengxing Wang; Xinyuan Chen; Chang Xu 002 (ICASSP, 2019)

Data-Free Learning of Student Networks. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Zhaohui Yang 003; Chuanjian Liu; Boxin Shi; Chunjing Xu; Chao Xu 006; Qi Tian 001 (ICCV, 2019)

Self-Supervised Representation Learning From Multi-Domain Data. - Zeyu Feng; Chang Xu 002; Dacheng Tao (ICCV, 2019)

Co-Evolutionary Compression for Unpaired Image Translation. - Han Shu; Yunhe Wang 001; Xu Jia 012; Kai Han 002; Hanting Chen; Chunjing Xu; Qi Tian 001; Chang Xu 002 (ICCV, 2019)

Approximated Bilinear Modules for Temporal Modeling. - Xinqi Zhu; Chang Xu 002; Langwen Hui; Cewu Lu; Dacheng Tao (ICCV, 2019)

Reinforced Molecule Generation with Heterogeneous States. - Fangzhou Shi; Shan You; Chang Xu 002 (ICDM, 2019)

LegoNet: Efficient Convolutional Neural Networks with Lego Filters. - Zhaohui Yang 003; Yunhe Wang 001; Chuanjian Liu; Hanting Chen; Chunjing Xu; Boxin Shi; Chao Xu 006; Chang Xu 002 (ICML, 2019)

Crafting Efficient Neural Graph of Large Entropy. - Minjing Dong; Hanting Chen; Yunhe Wang 001; Chang Xu 002 (IJCAI, 2019)

On Retrospecting Human Dynamics with Attention. - Minjing Dong; Chang Xu 002 (IJCAI, 2019)

Attribute Aware Pooling for Pedestrian Attribute Recognition. - Kai Han 002; Yunhe Wang 001; Han Shu; Chuanjian Liu; Chunjing Xu; Chang Xu 002 (IJCAI, 2019)

Learning Instance-wise Sparsity for Accelerating Deep Models. - Chuanjian Liu; Yunhe Wang 001; Kai Han 002; Chunjing Xu; Chang Xu 002 (IJCAI, 2019)

Learning from Bad Data via Generation. - Tianyu Guo 001; Chang Xu 002; Boxin Shi; Chao Xu 006; Dacheng Tao (NeurIPS, 2019)

Positive-Unlabeled Compression on the Cloud. - Yixing Xu; Yunhe Wang 001; Hanting Chen; Kai Han 002; Chunjing Xu; Dacheng Tao; Chang Xu 002 (NeurIPS, 2019)

Spatial-Temporal Attention-Based Human Dynamics Retrospection. - Minjing Dong; Chang Xu 002 (IEEE Access, 2019)

Point Cloud Generation From Multiple Angles of Voxel Grids. - Shumin Kong; Fangzhou Shi; Chaoyue Wang; Chang Xu 002 (IEEE Access, 2019)

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. - Yong Luo 002; Dacheng Tao; Chang Xu 002; Chao Xu 006; Hong Liu 008; Yonggang Wen 001 (CoRR, 2019)

Bringing Giant Neural Networks Down to Earth with Unlabeled Data. - Yehui Tang; Shan You; Chang Xu 002; Boxin Shi; Chao Xu 006 (CoRR, 2019)

Graph Reasoning Networks for Visual Question Answering. - Dalu Guo; Chang Xu 002; Dacheng Tao (CoRR, 2019)

Full-Stack Filters to Build Minimum Viable CNNs. - Kai Han 002; Yunhe Wang 001; Yixing Xu; Chunjing Xu; Dacheng Tao; Chang Xu 002 (CoRR, 2019)

Balanced Binary Neural Networks with Gated Residual. - Mingzhu Shen; Xianglong Liu 001; Kai Han 002; Ruihao Gong; Yunhe Wang 001; Chang Xu 002 (CoRR, 2019)

RNAS: Architecture Ranking for Powerful Networks. - Yixing Xu; Yunhe Wang 001; Kai Han 002; Hanting Chen; Yehui Tang; Shangling Jui; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CoRR, 2019)

Packing Convolutional Neural Networks in the Frequency Domain. - Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Learning structured and non-redundant representations with deep neural networks. - Jihai Yang; Wei Xiong; Shijun Li 001; Chang Xu 002 (Pattern Recognit., 2019)

Evolutionary Generative Adversarial Networks. - Chaoyue Wang; Chang Xu 002; Xin Yao 001; Dacheng Tao (IEEE Trans. Evol. Comput., 2019)

Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer. - Xinyuan Chen; Chang Xu 002; Xiaokang Yang 001; Li Song 001; Dacheng Tao (IEEE Trans. Image Process., 2019)

ROMIR: Robust Multi-View Image Re-Ranking. - Jun Li 033; Chang Xu 002; Wankou Yang; Changyin Sun 001; Ramamohanarao Kotagiri; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2019)

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. - Yali Du 001; Meng Fang; Jinfeng Yi; Chang Xu 002; Jun Cheng 002; Dacheng Tao (IEEE Trans. Multim., 2019)

Distilling Portable Generative Adversarial Networks for Image Translation. - Hanting Chen; Yunhe Wang 001; Han Shu; Changyuan Wen; Chunjing Xu; Boxin Shi; Chao Xu 006; Chang Xu 002 (AAAI, 2020)

Learning Student Networks with Few Data. - Shumin Kong; Tianyu Guo 001; Shan You; Chang Xu 002 (AAAI, 2020)

Efficient Residual Dense Block Search for Image Super-Resolution. - Dehua Song; Chang Xu 002; Xu Jia 012; Yiyi Chen 003; Chunjing Xu; Yunhe Wang 001 (AAAI, 2020)

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Boxin Shi; Chao Xu 006; Chunjing Xu; Chang Xu 002 (AAAI, 2020)

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. - Yehui Tang; Shan You; Chang Xu 002; Jin Han 001; Chen Qian 006; Boxin Shi; Chao Xu 006; Changshui Zhang (AAAI, 2020)

Assessing Social License to Operate from the Public Discourse on Social Media. - Chang Xu 002; Cécile Paris; Ross Sparks; Surya Nepal; Keith Vander Linden (COLING (Industry), 2020)

Context Aware Graph Convolution for Skeleton-Based Action Recognition. - Xikun Zhang 002; Chang Xu 002; Dacheng Tao (CVPR, 2020)

Frequency Domain Compact 3D Convolutional Neural Networks. - Hanting Chen; Yunhe Wang 001; Han Shu; Yehui Tang; Chunjing Xu; Boxin Shi; Chao Xu 006; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

AdderNet: Do We Really Need Multiplications in Deep Learning? - Hanting Chen; Yunhe Wang 001; Chunjing Xu; Boxin Shi; Chao Xu 006; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. - Jianyuan Guo; Kai Han 002; Yunhe Wang 001; Chao Zhang 001; Zhaohui Yang 003; Han Wu 009; Xinghao Chen 001; Chang Xu 002 (CVPR, 2020)

On Positive-Unlabeled Classification in GAN. - Tianyu Guo 001; Chang Xu 002; Jiajun Huang; Yunhe Wang 001; Boxin Shi; Chao Xu 006; Dacheng Tao (CVPR, 2020)

GhostNet: More Features From Cheap Operations. - Kai Han 002; Yunhe Wang 001; Qi Tian 001; Jianyuan Guo; Chunjing Xu; Chang Xu 002 (CVPR, 2020)

Neuromorphic Camera Guided High Dynamic Range Imaging. - Jin Han 001; Chu Zhou; Peiqi Duan; Yehui Tang; Chang Xu 002; Chao Xu 006; Tiejun Huang 001; Boxin Shi (CVPR, 2020)

A Semi-Supervised Assessor of Neural Architectures. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Hanting Chen; Boxin Shi; Chao Xu 006; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

CARS: Continuous Evolution for Efficient Neural Architecture Search. - Zhaohui Yang 003; Yunhe Wang 001; Xinghao Chen 001; Boxin Shi; Chao Xu 006; Chunjing Xu; Qi Tian 001; Chang Xu 002 (CVPR, 2020)

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. - Chang Xu 002; Cécile Paris; Surya Nepal; Ross Sparks; Chong Long; Yafang Wang (ECAI, 2020)

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. - Xinghao Chen 001; Yiman Zhang; Yunhe Wang 001; Han Shu; Chunjing Xu; Chang Xu 002 (ECCV (6), 2020)

On Dropping Clusters to Regularize Graph Convolutional Neural Networks. - Xikun Zhang 002; Chang Xu 002; Dacheng Tao (ECCV (21), 2020)

Learning Disentangled Representations with Latent Variation Predictability. - Xinqi Zhu; Chang Xu 002; Dacheng Tao (ECCV (10), 2020)

Training Binary Neural Networks through Learning with Noisy Supervision. - Kai Han 002; Yunhe Wang 001; Yixing Xu; Chunjing Xu; Enhua Wu; Chang Xu 002 (ICML, 2020)

Neural Architecture Search in A Proxy Validation Loss Landscape. - Yanxi Li 001; Minjing Dong; Yunhe Wang 001; Chang Xu 002 (ICML, 2020)

Discernible Image Compression. - Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002; Peng Du; Chao Xu 006; Chunjing Xu; Qi Tian 001 (ACM Multimedia, 2020)

Adapting Neural Architectures Between Domains. - Yanxi Li 001; Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2020)

SCOP: Scientific Control for Reliable Neural Network Pruning. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Dacheng Tao; Chunjing Xu; Chao Xu 006; Chang Xu 002 (NeurIPS, 2020)

Kernel Based Progressive Distillation for Adder Neural Networks. - Yixing Xu; Chang Xu 002; Xinghao Chen 001; Wei Zhang 196; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2020)

Searching for Low-Bit Weights in Quantized Neural Networks. - Zhaohui Yang 003; Yunhe Wang 001; Kai Han 002; Chunjing Xu; Chao Xu 006; Dacheng Tao; Chang Xu 002 (NeurIPS, 2020)

UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging. - Chu Zhou; Hang Zhao; Jin Han 001; Chang Xu 002; Chao Xu 006; Tiejun Huang 001; Boxin Shi (NeurIPS, 2020)

Robust learning with imperfect privileged information. - Xue Li; Bo Du 001; Chang Xu 002; Yipeng Zhang 001; Lefei Zhang; Dacheng Tao (Artif. Intell., 2020)

Discernible Compressed Images via Deep Perception Consistency. - Zhaohui Yang 003; Yunhe Wang 001; Chao Xu 006; Chang Xu 002 (CoRR, 2020)

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples. - Huaxi Huang; Junjie Zhang 002; Jian Zhang 002; Qiang Wu 001; Chang Xu 002 (CoRR, 2020)

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Zhaohui Yang 003; Yunhe Wang 001; Dacheng Tao; Xinghao Chen 001; Jianyuan Guo; Chunjing Xu; Chao Xu 006; Chang Xu 002 (CoRR, 2020)

Multi-Task Pruning for Semantic Segmentation Networks. - Xinghao Chen 001; Yunhe Wang 001; Yiman Zhang; Peng Du; Chunjing Xu; Chang Xu 002 (CoRR, 2020)

Data Agnostic Filter Gating for Efficient Deep Networks. - Xiu Su; Shan You; Tao Huang 020; Hongyan Xu 002; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002 (CoRR, 2020)

An innovative multi-label learning based algorithm for city data computing. - Mengqing Mei; Yongjian Zhong; Fazhi He; Chang Xu 002 (GeoInformatica, 2020)

Joint hyperspectral unmixing for urban computing. - Jihai Yang; Mingmei Jia; Chang Xu 002; Shijun Li 001 (GeoInformatica, 2020)

Self-Supervised Pose Adaptation for Cross-Domain Image Animation. - Chaoyue Wang; Chang Xu 002; Dacheng Tao (IEEE Trans. Artif. Intell., 2020)

Long-Term Video Prediction via Criticization and Retrospection. - Xinyuan Chen; Chang Xu 002; Xiaokang Yang 001; Dacheng Tao (IEEE Trans. Image Process., 2020)

Discriminative Multi-View Privileged Information Learning for Image Re-Ranking. - Jun Li 033; Chang Xu 002; Wankou Yang; Changyin Sun 001; Jianhua Xu; Hong Zhang 013 (IEEE Trans. Image Process., 2020)

Robust Student Network Learning. - Tianyu Guo 001; Chang Xu 002; Shiyi He; Boxin Shi; Chao Xu 006; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Iterative Privileged Learning. - Xue Li; Bo Du 001; Yipeng Zhang 001; Chang Xu 002; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition. - Xikun Zhang 002; Chang Xu 002; Xinmei Tian 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. - Huaxi Huang; Junjie Zhang 002; Jian Zhang 002; Qiang Wu 001; Chang Xu 002 (AAAI, 2021)

One-shot Graph Neural Architecture Search with Dynamic Search Space. - Yanxi Li 001; Zean Wen; Yunhe Wang 001; Chang Xu 002 (AAAI, 2021)

Adversarial Robustness through Disentangled Representations. - Shuo Yang; Tianyu Guo 001; Yunhe Wang 001; Chang Xu 002 (AAAI, 2021)

Pre-Trained Image Processing Transformer. - Hanting Chen; Yunhe Wang 001; Tianyu Guo 001; Chang Xu 002; Yiping Deng; Zhenhua Liu 003; Siwei Ma; Chunjing Xu; Chao Xu 006; Wen Gao 001 (CVPR, 2021)

Learning Student Networks in the Wild. - Hanting Chen; Tianyu Guo 001; Chang Xu 002; Wenshuo Li; Chunjing Xu; Chao Xu 006; Yunhe Wang 001 (CVPR, 2021)

Distilling Object Detectors via Decoupled Features. - Jianyuan Guo; Kai Han 002; Yunhe Wang 001; Han Wu 009; Xinghao Chen 001; Chunjing Xu; Chang Xu 002 (CVPR, 2021)

Positive-Unlabeled Data Purification in the Wild for Object Detection. - Jianyuan Guo; Kai Han 002; Han Wu 009; Chao Zhang 001; Xinghao Chen 001; Chunjing Xu; Chang Xu 002; Yunhe Wang 001 (CVPR, 2021)

AdderSR: Towards Energy Efficient Image Super-Resolution. - Dehua Song; Yunhe Wang 001; Hanting Chen; Chang Xu 002; Chunjing Xu; Dacheng Tao (CVPR, 2021)

Prioritized Architecture Sampling With Monto-Carlo Tree Search. - Xiu Su; Tao Huang 020; Yanxi Li 001; Shan You; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002 (CVPR, 2021)

BCNet: Searching for Network Width With Bilaterally Coupled Network. - Xiu Su; Shan You; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002 (CVPR, 2021)

Manifold Regularized Dynamic Network Pruning. - Yehui Tang; Yunhe Wang 001; Yixing Xu; Yiping Deng; Chao Xu 006; Dacheng Tao; Chang Xu 002 (CVPR, 2021)

ReNAS: Relativistic Evaluation of Neural Architecture Search. - Yixing Xu; Yunhe Wang 001; Kai Han 002; Yehui Tang; Shangling Jui; Chunjing Xu; Chang Xu 002 (CVPR, 2021)

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Zhaohui Yang 003; Yunhe Wang 001; Xinghao Chen 001; Jianyuan Guo; Wei Zhang 196; Chao Xu 006; Chunjing Xu; Dacheng Tao; Chang Xu 002 (CVPR, 2021)

Where and What? Examining Interpretable Disentangled Representations. - Xinqi Zhu; Chang Xu 002; Dacheng Tao (CVPR, 2021)

Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. - Wenbin Xie; Dehua Song; Chang Xu 002; Chunjing Xu; Hui Zhang 013; Yunhe Wang 001 (ICCV, 2021)

Weakly Supervised Contrastive Learning. - Mingkai Zheng; Fei Wang 032; Shan You; Chen Qian 006; Changshui Zhang; Xiaogang Wang 001; Chang Xu 002 (ICCV, 2021)

DeepFake MNIST+: A DeepFake Facial Animation Dataset. - Jiajun Huang; Xueyu Wang; Bo Du 001; Pei Du; Chang Xu 002 (ICCVW, 2021)

Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. - Shuo Yang; Zeyu Feng; Pei Du; Bo Du 001; Chang Xu 002 (ICDM, 2021)

Locally Free Weight Sharing for Network Width Search. - Xiu Su; Shan You; Tao Huang 020; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002 (ICLR, 2021)

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. - Xiu Su; Shan You; Mingkai Zheng; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002 (ICML, 2021)

Learning to Weight Imperfect Demonstrations. - Yunke Wang; Chang Xu 002; Bo Du 001; Honglak Lee (ICML, 2021)

Commutative Lie Group VAE for Disentanglement Learning. - Xinqi Zhu; Chang Xu 002; Dacheng Tao (ICML, 2021)

Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. - Yunke Wang; Chang Xu 002; Bo Du 001 (IJCAI, 2021)

PLP 2021: Workshop on Programming Language Processing. - Chang Xu 002; Siqi Ma; David Lo 001 (KDD, 2021)

Workshop on Model Mining. - Shan You; Chang Xu 002; Fei Wang 032; Changshui Zhang (KDD, 2021)

An Empirical Study of Adder Neural Networks for Object Detection. - Xinghao Chen 001; Chang Xu 002; Minjing Dong; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

Towards Stable and Robust AdderNets. - Minjing Dong; Yunhe Wang 001; Xinghao Chen 001; Chang Xu 002 (NeurIPS, 2021)

Handling Long-tailed Feature Distribution in AdderNets. - Minjing Dong; Yunhe Wang 001; Xinghao Chen 001; Chang Xu 002 (NeurIPS, 2021)

Neural Architecture Dilation for Adversarial Robustness. - Yanxi Li 001; Zhaohui Yang 003; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2021)

Augmented Shortcuts for Vision Transformers. - Yehui Tang; Kai Han 002; Chang Xu 002; An Xiao; Yiping Deng; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2021)

Learning Frequency Domain Approximation for Binary Neural Networks. - Yixing Xu; Kai Han 002; Chang Xu 002; Yehui Tang; Chunjing Xu; Yunhe Wang 001 (NeurIPS, 2021)

ReSSL: Relational Self-Supervised Learning with Weak Augmentation. - Mingkai Zheng; Shan You; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiaogang Wang 001; Chang Xu 002 (NeurIPS, 2021)

Adder Neural Networks. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Chunjing Xu; Tong Zhang 001 (CoRR, 2021)

Vision Transformer Architecture Search. - Xiu Su; Shan You; Jiyang Xie 001; Mingkai Zheng; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiaogang Wang 001; Chang Xu 002 (CoRR, 2021)

CMT: Convolutional Neural Networks Meet Vision Transformers. - Jianyuan Guo; Kai Han 002; Han Wu 009; Chang Xu 002; Yehui Tang; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

Learning to reweight examples in multi-label classification. - Yongjian Zhong; Bo Du 001; Chang Xu 002 (Neural Networks, 2021)

Open-Set Hypothesis Transfer With Semantic Consistency. - Zeyu Feng; Chang Xu 002; Dacheng Tao (IEEE Trans. Image Process., 2021)

Learning Student Networks via Feature Embedding. - Hanting Chen; Yunhe Wang 001; Chang Xu 002; Chao Xu 006; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2021)

GreedyNASv2: Greedier Search with a Greedy Path Filter. - Tao Huang 020; Shan You; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiaogang Wang 001; Chang Xu 002 (CVPR, 2022)

DyRep: Bootstrapping Training with Dynamic Re-parameterization. - Tao Huang 020; Shan You; Bohan Zhang; Yuxuan Du; Fei Wang 032; Chen Qian 006; Chang Xu 002 (CVPR, 2022)

CMT: Convolutional Neural Networks Meet Vision Transformers. - Jianyuan Guo; Kai Han 002; Han Wu 009; Yehui Tang; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (CVPR, 2022)

Hire-MLP: Vision MLP via Hierarchical Rearrangement. - Jianyuan Guo; Yehui Tang; Kai Han 002; Xinghao Chen 001; Han Wu 009; Chao Xu 006; Chang Xu 002; Yunhe Wang 001 (CVPR, 2022)

Patch Slimming for Efficient Vision Transformers. - Yehui Tang; Kai Han 002; Yunhe Wang 001; Chang Xu 002; Jianyuan Guo; Chao Xu 006; Dacheng Tao (CVPR, 2022)

An Image Patch is a Wave: Phase-Aware Vision MLP. - Yehui Tang; Kai Han 002; Jianyuan Guo; Chang Xu 002; Yanxi Li 001; Chao Xu 006; Yunhe Wang 001 (CVPR, 2022)

DeepFake Disrupter: The Detector of DeepFake Is My Friend. - Xueyu Wang; Jiajun Huang; Siqi Ma; Surya Nepal; Chang Xu 002 (CVPR, 2022)

SimMatch: Semi-supervised Learning with Similarity Matching. - Mingkai Zheng; Shan You; Lang Huang 001; Fei Wang 032; Chen Qian 006; Chang Xu 002 (CVPR, 2022)

ViTAS: Vision Transformer Architecture Search. - Xiu Su; Shan You; Jiyang Xie 001; Mingkai Zheng; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiao-Gang Wang 001; Chang Xu 002 (ECCV (21), 2022)

One Size Does NOT Fit All: Data-Adaptive Adversarial Training. - Shuo Yang; Chang Xu 002 (ECCV (5), 2022)

Data Agnostic Filter Gating For Efficient Deep Networks. - Hongyan Xu 002; Xiu Su; Shan You; Tao Huang 020; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002; Dadong Wang; Arcot Sowmya (ICASSP, 2022)

Contrastive Code-Comment Pre-training. - Xiaohuan Pei; Daochang Liu; Luo Qian; Chang Xu 002 (ICDM, 2022)

Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments. - Xiaohuan Pei; Shuo Yang; Jiajun Huang; Chang Xu 002 (ICDM, 2022)

Relational Surrogate Loss Learning. - Tao Huang 020; Zekang Li; Hua Lu 017; Yong Shan; Shusheng Yang; Yang Feng; Fei Wang 032; Shan You; Chang Xu 002 (ICLR, 2022)

Spatial-Channel Token Distillation for Vision MLPs. - Yanxi Li 001; Xinghao Chen 001; Minjing Dong; Yehui Tang; Yunhe Wang 001; Chang Xu 002 (ICML, 2022)

Sufficient Vision Transformer. - Zhi Cheng; Xiu Su; Xueyu Wang; Shan You; Chang Xu 002 (KDD, 2022)

Knowledge Distillation from A Stronger Teacher. - Tao Huang 020; Shan You; Fei Wang 032; Chen Qian 006; Chang Xu 002 (NeurIPS, 2022)

Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition. - Yichao Cao; Xiu Su; Qingfei Tang; Shan You; Xiaobo Lu; Chang Xu 002 (NeurIPS, 2022)

Random Normalization Aggregation for Adversarial Defense. - Minjing Dong; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2022)

GhostNetV2: Enhance Cheap Operation with Long-Range Attention. - Yehui Tang; Kai Han 002; Jianyuan Guo; Chang Xu 002; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2022)

Vulnerability Detection Using Deep Learning Based Function Classification. - Huihui Gong; Siqi Ma; Seyit Camtepe; Surya Nepal; Chang Xu 002 (NSS, 2022)

Multi-Tailed Vision Transformer for Efficient Inference. - Yunke Wang; Bo Du 001; Chang Xu 002 (CoRR, 2022)

Relational Self-Supervised Learning. - Mingkai Zheng; Shan You; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiaogang Wang 001; Chang Xu 002 (CoRR, 2022)

LightViT: Towards Light-Weight Convolution-Free Vision Transformers. - Tao Huang 020; Lang Huang 001; Shan You; Fei Wang 032; Chen Qian 006; Chang Xu 002 (CoRR, 2022)

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. - Haoyu Xie; Changqi Wang; Mingkai Zheng; Minjing Dong; Shan You; Chang Xu 002 (CoRR, 2022)

FastMIM: Expediting Masked Image Modeling Pre-training for Vision. - Jianyuan Guo; Kai Han 002; Han Wu 009; Yehui Tang; Yunhe Wang 001; Chang Xu 002 (CoRR, 2022)

Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution. - Zhongwei Qiu; Huan Yang 005; Jianlong Fu; Daochang Liu; Chang Xu 002; Dongmei Fu (CoRR, 2022)

GhostNets on Heterogeneous Devices via Cheap Operations. - Kai Han 002; Yunhe Wang 001; Chang Xu 002; Jianyuan Guo; Chunjing Xu; Enhua Wu; Qi Tian 001 (Int. J. Comput. Vis., 2022)

Neural architecture tuning with policy adaptation. - Yanxi Li 001; Minjing Dong; Yixing Xu; Yunhe Wang 001; Chang Xu 002 (Neurocomputing, 2022)

Optimizing Latent Distributions for Non-Adversarial Generative Networks. - Tianyu Guo 001; Chang Xu 002; Boxin Shi; Chao Xu 006; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Versatile Convolution Filters for Efficient Visual Recognition. - Kai Han 002; Yunhe Wang 001; Chang Xu 002; Chunjing Xu; Enhua Wu; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

LocalDrop: A Hybrid Regularization for Deep Neural Networks. - Ziqing Lu; Chang Xu 002; Bo Du 001; Takashi Ishida 001; Lefei Zhang; Masashi Sugiyama (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples. - Huaxi Huang; Junjie Zhang 002; Litao Yu; Jian Zhang 002; Qiang Wu 001; Chang Xu 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

V-SVR+: Support Vector Regression With Variational Privileged Information. - Yangyang Shu; Qian Li 003; Chang Xu 002; Shaowu Liu; Guandong Xu (IEEE Trans. Multim., 2022)

Neural Architecture Search for Wide Spectrum Adversarial Robustness. - Zhi Cheng; Yanxi Li 001; Minjing Dong; Xiu Su; Shan You; Chang Xu 002 (AAAI, 2023)

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. - Yunke Wang; Bo Du 001; Chang Xu 002 (AAAI, 2023)

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. - Haoyu Xie; Changqi Wang; Mingkai Zheng; Minjing Dong; Shan You; Chong Fu; Chang Xu 002 (AAAI, 2023)

ContraFeat: Contrasting Deep Features for Semantic Discovery. - Xinqi Zhu; Chang Xu 002; Dacheng Tao (AAAI, 2023)

Private Image Generation with Dual-Purpose Auxiliary Classifier. - Chen Chen 074; Daochang Liu; Siqi Ma; Surya Nepal; Chang Xu 002 (CVPR, 2023)

Adversarial Robustness via Random Projection Filters. - Minjing Dong; Chang Xu 002 (CVPR, 2023)

Trade-off between Robustness and Accuracy of Vision Transformers. - Yanxi Li 001; Chang Xu 002 (CVPR, 2023)

PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation with Progressive Video Transformers. - Zhongwei Qiu; Qiansheng Yang; Jian Wang 066; Haocheng Feng; Junyu Han; Errui Ding; Chang Xu 002; Dongmei Fu; Jingdong Wang 001 (CVPR, 2023)

Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. - Yichao Cao; Qingfei Tang; Feng Yang; Xiu Su; Shan You; Xiaobo Lu; Chang Xu 002 (ICCV, 2023)

Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. - Shan He; Haonan He; Shuo Yang; Xiaoyan Wu; Pengcheng Xia; Bing Yin; Cong Liu 006; Lirong Dai 001; Chang Xu 002 (ICCV, 2023)

Personalized Image Generation for Color Vision Deficiency Population. - Shuyi Jiang; Daochang Liu; Dingquan Li; Chang Xu 002 (ICCV, 2023)

Diffusion Action Segmentation. - Daochang Liu; Qiyue Li; Anh-Dung Dinh; Tingting Jiang 001; Mubarak Shah; Chang Xu 002 (ICCV, 2023)

What Can Simple Arithmetic Operations Do for Temporal Modeling? - Wenhao Wu; Yuxin Song; Zhun Sun; Jingdong Wang 001; Chang Xu 002; Wanli Ouyang (ICCV, 2023)

SimMatchV2: Semi-Supervised Learning with Graph Consistency. - Mingkai Zheng; Shan You; Lang Huang 001; Chen Luo; Fei Wang 032; Chen Qian 006; Chang Xu 002 (ICCV, 2023)

DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. - Wenhao Li; Xiu Su; Shan You; Fei Wang 032; Chen Qian 006; Chang Xu 002 (ICDM, 2023)

Masked Distillation with Receptive Tokens. - Tao Huang 020; Yuan Zhang 020; Shan You; Fei Wang 032; Chen Qian 006; Jian Cao 002; Chang Xu 002 (ICLR, 2023)

PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. - AnhDung Dinh; Daochang Liu; Chang Xu 002 (ICML, 2023)

Dual Focal Loss for Calibration. - Linwei Tao; Minjing Dong; Chang Xu 002 (ICML, 2023)

Calibrating a Deep Neural Network with Its Predecessors. - Linwei Tao; Minjing Dong; Daochang Liu; Changming Sun; Chang Xu 002 (IJCAI, 2023)

MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. - Ziqing Lu; Chang Xu 002; Bo Du 001 (IJCNN, 2023)

Learning to Schedule in Diffusion Probabilistic Models. - Yunke Wang; Xiyu Wang; Anh-Dung Dinh; Bo Du 001; Charles Xu 002 (KDD, 2023)

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. - Yichao Cao; Qingfei Tang; Xiu Su; Song Chen; Shan You; Xiaobo Lu; Chang Xu 002 (NeurIPS, 2023)

Rethinking Conditional Diffusion Sampling with Progressive Guidance. - Anh-Dung Dinh; Daochang Liu; Chang Xu 002 (NeurIPS, 2023)

Stable Diffusion is Unstable. - Chengbin Du; Yanxi Li 001; Zhongwei Qiu; Chang Xu 002 (NeurIPS, 2023)

Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Han Hu 001; Chang Xu 002; Yunhe Wang 001 (NeurIPS, 2023)

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Yehui Tang; Han Hu 001; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2023)

Knowledge Diffusion for Distillation. - Tao Huang 020; Yuan Zhang 020; Mingkai Zheng; Shan You; Fei Wang 032; Chen Qian 006; Chang Xu 002 (NeurIPS, 2023)

Adversarial Robustness through Random Weight Sampling. - Yanxiang Ma; Minjing Dong; Chang Xu 002 (NeurIPS, 2023)

Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. - Zunzhi You; Daochang Liu; Bohyung Han; Chang Xu 002 (NeurIPS, 2023)

Contrastive Sampling Chains in Diffusion Models. - Junyu Zhang; Daochang Liu; Shichao Zhang 001; Chang Xu 002 (NeurIPS, 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 002 (CoRR, 2023)

Can GPT-4 Perform Neural Architecture Search? - Mingkai Zheng; Xiu Su; Shan You; Fei Wang 032; Chen Qian 006; Chang Xu 002; Samuel Albanie (CoRR, 2023)

AMD: Autoregressive Motion Diffusion. - Bo Han; Hao Peng; Minjing Dong; Chang Xu 002; Yi Ren; Yixuan Shen; Yuheng Li (CoRR, 2023)

VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Han Hu 001; Chang Xu 002; Yunhe Wang 001 (CoRR, 2023)

GPT Self-Supervision for a Better Data Annotator. - Xiaohuan Pei; Yanxi Li 001; Chang Xu 002 (CoRR, 2023)

Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation. - Zhongwei Qiu; Qiansheng Yang; Jian Wang 066; Xiyu Wang; Chang Xu 002; Dongmei Fu; Kun Yao; Junyu Han; Errui Ding; Jingdong Wang 001 (CoRR, 2023)

CoNe: Contrast Your Neighbours for Supervised Image Classification. - Mingkai Zheng; Shan You; Lang Huang 001; Xiu Su; Fei Wang 032; Chen Qian 006; Xiaogang Wang 001; Chang Xu 002 (CoRR, 2023)

Efficient Transfer Learning in Diffusion Models via Adversarial Noise. - Xiyu Wang; Baijiong Lin; Daochang Liu; Chang Xu 002 (CoRR, 2023)

Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks. - Huihui Gong; Minjing Dong; Siqi Ma; Seyit Camtepe; Surya Nepal; Chang Xu 002 (CoRR, 2023)

Imitation Learning from Purified Demonstration. - Yunke Wang; Minjing Dong; Bo Du 001; Chang Xu 002 (CoRR, 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; et al. (CoRR, 2023)

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. - Yichao Cao; Qingfei Tang; Xiu Su; Chen Song; Shan You; Xiaobo Lu; Chang Xu 002 (CoRR, 2023)

Not All Steps are Equal: Efficient Generation with Progressive Diffusion Models. - Wenhao Li; Xiu Su; Shan You; Tao Huang 020; Fei Wang 032; Chen Qian 006; Chang Xu 002 (CoRR, 2023)

Improving Lightweight AdderNet via Distillation From ℓ2 to ℓ1-norm. - Minjing Dong; Xinghao Chen 001; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Image Process., 2023)

Bilinear Graph Networks for Visual Question Answering. - Dalu Guo; Chang Xu 002; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adversarial Recurrent Time Series Imputation. - Shuo Yang; Minjing Dong; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Neural Architecture Search via Proxy Validation. - Yanxi Li 001; Minjing Dong; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Searching for Network Width With Bilaterally Coupled Network. - Xiu Su; Shan You; Jiyang Xie 001; Fei Wang 032; Chen Qian 006; Changshui Zhang; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution. - Zhijian Wu; Wenhui Liu; Jun Li 033; Chang Xu 002; Dingjiang Huang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. - Zhongwei Qiu; Huan Yang 005; Jianlong Fu; Daochang Liu; Chang Xu 002; Dongmei Fu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Skeleton-Based Human Motion Prediction With Privileged Supervision. - Minjing Dong; Chang Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

AMD: Autoregressive Motion Diffusion. - Bo Han; Hao Peng; Minjing Dong; Yi Ren; Yixuan Shen; Chang Xu 002 (AAAI, 2024)

Locating and Extracting Relational Concepts in Large Language Models. - Zijian Wang; Britney White; Chang Xu 002 (ACL (Findings), 2024)

Towards Memorization-Free Diffusion Models. - Chen Chen 074; Daochang Liu; Chang Xu 002 (CVPR, 2024)

Random Entangled Tokens for Adversarially Robust Vision Transformer. - Huihui Gong; Minjing Dong; Siqi Ma; Seyit Camtepe; Surya Nepal; Chang Xu 002 (CVPR, 2024)

Residual Learning in Diffusion Models. - Junyu Zhang; Daochang Liu; Eunbyung Park; Shichao Zhang 001; Chang Xu 002 (CVPR, 2024)

Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective. - Jinjing Zhao; Fangyun Wei; Chang Xu 002 (CVPR, 2024)

Active Generation for Image Classification. - Tao Huang 020; Jiaqi Liu; Shan You; Chang Xu 002 (ECCV (48), 2024)

LocalMamba: Visual State Space Model with Windowed Selective Scan. - Tao Huang 020; Xiaohuan Pei; Shan You; Fei Wang 032; Chen Qian 006; Chang Xu 002 (ECCV Workshops (11), 2024)

Training-Free Composite Scene Generation for Layout-to-Image Synthesis. - Jiaqi Liu; Tao Huang 020; Chang Xu 002 (ECCV (68), 2024)

Visual Prompting via Partial Optimal Transport. - Mengyu Zheng; Zhiwei Hao; Yehui Tang; Chang Xu 002 (ECCV (35), 2024)

Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. - Mengyu Zheng; Yehui Tang; Zhiwei Hao; Kai Han 002; Yunhe Wang 001; Chang Xu 002 (ECCV (54), 2024)

Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models. - Xiu Su; Shan You; Hongyan Xu 002; Xiuxing Li; Jun Long; Yi Chen; Chang Xu 002 (ICASSP, 2024)

TCNAS: Transformer Architecture Evolving in Code Clone Detection. - Hongyan Xu 002; Xiaohuan Pei; Xiu Su; Shan You; Chang Xu 002 (ICASSP, 2024)

Neural Architecture Retrieval. - Xiaohuan Pei; Yanxi Li 001; Minjing Dong; Chang Xu 002 (ICLR, 2024)

A Benchmark Study on Calibration. - Linwei Tao; Younan Zhu; Haolan Guo; Minjing Dong; Chang Xu 002 (ICLR, 2024)

Data-efficient Large Vision Models through Sequential Autoregression. - Zhiwei Hao; Jianyuan Guo; Chengcheng Wang; Yehui Tang; Han Wu 009; Han Hu 001; Kai Han 002; Chang Xu 002 (ICML, 2024)

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. - Ding Jia; Jianyuan Guo; Kai Han 002; Han Wu 009; Chao Zhang 001; Chang Xu 002; Xinghao Chen 001 (ICML, 2024)

Imitation Learning from Purified Demonstrations. - Yunke Wang; Minjing Dong; Yukun Zhao; Bo Du 001; Chang Xu 002 (ICML, 2024)

Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning. - Xiyu Wang; Baijiong Lin; Daochang Liu; Ying-Cong Chen; Chang Xu 002 (ICML, 2024)

Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA. - Zhongze Wu; Hongyan Xu 002; Yitian Long; Shan You; Xiu Su; Jun Long; Yueyi Luo; Chang Xu 002 (ICML, 2024)

Boosting Diffusion Models with an Adaptive Momentum Sampler. - Xiyu Wang; Anh-Dung Dinh; Daochang Liu; Chang Xu 002 (IJCAI, 2024)

Image Anomaly Detection Based on Controllable Self-Augmentation. - Liujie Hua; Yichao Cao; Yitian Long; Shan You; Xiu Su; Jun Long; Yueyi Luo; Chang Xu 002 (IJCNN, 2024)

Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. - Yuheng Shi; Minjing Dong; Chang Xu 002 (NeurIPS, 2024)

A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era. - Fangyun Wei; Jinjing Zhao; Kun Yan; Hongyang Zhang; Chang Xu 002 (NeurIPS, 2024)

Enhancing Large Language Models through Adaptive Tokenizers. - Mengyu Zheng; Hanting Chen; Tianyu Guo 001; Chong Zhu; Binfan Zheng; Chang Xu 002; Yunhe Wang 001 (NeurIPS, 2024)

Visual Imitation Learning with Calibrated Contrastive Representation. - Yunke Wang; Linwei Tao; Bo Du 001; Yutian Lin; Chang Xu 002 (CoRR, 2024)

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. - Jianyuan Guo; Hanting Chen; Chengcheng Wang; Kai Han 002; Chang Xu 002; Yunhe Wang 001 (CoRR, 2024)

Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. - Siyu Xu; Yunke Wang; Daochang Liu; Chang Xu 002 (CoRR, 2024)

NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization. - Peng Tu; Xun Zhou; Mingming Wang; Xiaojun Yang; Bo Peng; Ping Chen; Xiu Su; Yawen Huang; Yefeng Zheng 001; Chang Xu 002 (CoRR, 2024)

Surgical Triplet Recognition via Diffusion Model. - Daochang Liu; Axel Hu; Mubarak Shah; Chang Xu 002 (CoRR, 2024)

Compress Guidance in Conditional Diffusion Sampling. - Anh-Dung Dinh; Daochang Liu; Chang Xu 002 (CoRR, 2024)

Training-free Long Video Generation with Chain of Diffusion Model Experts. - Wenhao Li; Yichao Cao; Xiu Su; Xi Lin; Shan You; Mingkai Zheng; Yi Chen; Chang Xu 002 (CoRR, 2024)

FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation. - Daixun Li; Weiying Xie; Mingxiang Cao; Yunke Wang; Jiaqing Zhang; Yunsong Li 001; Leyuan Fang; Chang Xu 002 (CoRR, 2024)

Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors. - Linwei Tao; Haolan Guo; Minjing Dong; Chang Xu 002 (CoRR, 2024)

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model. - Jinxu Lin; Linwei Tao; Minjing Dong; Chang Xu 002 (CoRR, 2024)

Investigating Memorization in Video Diffusion Models. - Chen Chen 074; Enhuai Liu; Daochang Liu; Mubarak Shah; Chang Xu 002 (CoRR, 2024)

Cross-Self KV Cache Pruning for Efficient Vision-Language Inference. - Xiaohuan Pei; Tao Huang 020; Chang Xu 002 (CoRR, 2024)

Modelling Multi-modal Cross-interaction for ML-FSIC Based on Local Feature Selection. - Kun Yan; Zied Bouraoui; Fangyun Wei; Chang Xu 002; Ping Wang 003; Shoaib Jameel; Steven Schockaert (CoRR, 2024)

Multi-tailed vision transformer for efficient inference. - Yunke Wang; Bo Du 001; Wenyuan Wang; Chang Xu 002 (Neural Networks, 2024)

A Credential Usage Study: Flow-Aware Leakage Detection in Open-Source Projects. - Ruidong Han; Huihui Gong; Siqi Ma; Juanru Li; Chang Xu 002; Elisa Bertino; Surya Nepal; Zhuo Ma 001; Jianfeng Ma 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. - Huihui Gong; Minjing Dong; Siqi Ma; Seyit Camtepe; Surya Nepal; Chang Xu 002 (IEEE Trans. Multim., 2024)

Anti-Compression Contrastive Facial Forgery Detection. - Jiajun Huang; Chengbin Du; Xinqi Zhu; Siqi Ma; Surya Nepal; Chang Xu 002 (IEEE Trans. Multim., 2024)

RUN: Rethinking the UNet Architecture for Efficient Image Restoration. - Zhijian Wu; Jun Li 033; Chang Xu 002; Dingjiang Huang; Steven C. H. Hoi (IEEE Trans. Multim., 2024)

Weak Augmentation Guided Relational Self-Supervised Learning. - Mingkai Zheng; Shan You; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiaogang Wang 005; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration. - Laibin Chang; Yunke Wang; Longxiang Deng; Bo Du 001; Chang Xu 002 (AAAI, 2025)

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba. - Xiaohuan Pei; Tao Huang 020; Chang Xu 002 (AAAI, 2025)

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models. - Chen Chen 074; Daochang Liu; Mubarak Shah; Chang Xu 002 (CVPR, 2025)

Learning Mask Invariant Mutual Information for Masked Image Modeling. - Tao Huang 020; Yanxiang Ma; Shan You; Chang Xu 002 (ICLR, 2025)

Exploring Local Memorization in Diffusion Models via Bright Ending Attention. - Chen Chen 074; Daochang Liu; Mubarak Shah; Chang Xu 002 (ICLR, 2025)

Representative Guidance: Diffusion Model Sampling with Coherence. - Anh-Dung Dinh; Daochang Liu; Chang Xu 002 (ICLR, 2025)

Anti-Exposure Bias in Diffusion Models. - Junyu Zhang; Daochang Liu; Eunbyung Park; Shichao Zhang 001; Chang Xu 002 (ICLR, 2025)

CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V. - Siyu Xu; Yunke Wang; Daochang Liu; Bo Du 001; Chang Xu 002 (NAACL (Findings), 2025)

Workshop on Sustainable AI for the Future Web. - Chang Xu 002; Yunke Wang; Jianyuan Guo; Daochang Liu; Minjing Dong; Yasmeen George; Johan Barthelemy; Yan Liu 002; Ling Chen 006 (WWW (Companion Volume), 2025)

Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing. - Laibin Chang; Yunke Wang; Bo Du 001; Chang Xu 002 (Neural Networks, 2025)

Generative Physical AI in Vision: A Survey. - Daochang Liu; Junyu Zhang; Anh-Dung Dinh; Eunbyung Park; Shichao Zhang 001; Chang Xu 002 (CoRR, 2025)

AI Scaling: From Up to Down and Out. - Yunke Wang; Yanxi Li 001; Chang Xu 002 (CoRR, 2025)

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration. - Younan Zhu; Linwei Tao; Minjing Dong; Chang Xu 002 (CoRR, 2025)

VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation. - Siyu Xu; Yunke Wang; Chenghao Xia; Dihao Zhu; Tao Huang 020; Chang Xu 002 (CoRR, 2025)

Uncertainty Weighted Gradients for Model Calibration. - Jinxu Lin; Linwei Tao; Minjing Dong; Chang Xu 002 (CoRR, 2025)

DiffAct++: Diffusion Action Segmentation. - Daochang Liu; Qiyue Li; Anh-Dung Dinh; Tingting Jiang 001; Mubarak Shah; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Modeling Multi-modal Cross-interaction for Multi-label Few-shot Image Classification Based on Local Feature Selection. - Kun Yan; Zied Bouraoui; Fangyun Wei; Chang Xu 002; Ping Wang 003; Shoaib Jameel; Steven Schockaert (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation. - Laibin Chang; Yunke Wang; JiaXing Huang; Longxiang Deng; Bo Du 001; Chang Xu 002 (CoRR, 2025)

Rethinking Causal Mask Attention for Vision-Language Inference. - Xiaohuan Pei; Tao Huang 020; Yanxiang Ma; Chang Xu 002 (CoRR, 2025)

Adversarially Robust Neural Architectures. - Minjing Dong; Yanxi Li 001; Yunhe Wang 001; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Sample Margin-Aware Recalibration of Temperature Scaling. - Haolan Guo; Linwei Tao; Haoyang Luo; Minjing Dong; Chang Xu 002 (CoRR, 2025)

DIST+: Knowledge Distillation From a Stronger Adaptive Teacher. - Tao Huang 020; Shan You; Fei Wang 032; Chen Qian 006; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Low-Shot Video Object Segmentation. - Kun Yan; Fangyun Wei; Shuyu Dai; Minghui Wu; Ping Wang 003; Chang Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

EventTSF: Event-Aware Non-Stationary Time Series Forecasting. - Yunfeng Ge; Ming Jin 005; Yiji Zhao; Hongyan Li; Bo Du 001; Chang Xu 002; Shirui Pan (CoRR, 2025)

On Positive-Unlabeled Classification From Corrupted Data in GANs. - Yunke Wang; Chang Xu 002; Tianyu Guo 001; Bo Du 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field. - Zijiang Yang 009; Zhongwei Qiu; Charles Xu 002; Dongmei Fu (IEEE Trans. Vis. Comput. Graph., 2025)