Xu, Chang

182 publications

ICML 2025 Adversarial Robustness via Deformable Convolution with Stochasticity Yanxiang Ma, Zixuan Huang, Minjing Dong, Shan You, Chang Xu

ICLR 2025 Anti-Exposure Bias in Diffusion Models Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

ICML 2025 BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian

ICML 2025 Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu

ICLR 2025 Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu

AAAI 2025 Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei, Minjing Dong, Chang Xu

AAAI 2025 EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba Xiaohuan Pei, Tao Huang, Chang Xu

CVPR 2025 Enhancing Privacy-Utility Trade-Offs to Mitigate Memorization in Diffusion Models Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu

ICLR 2025 Exploring Local Memorization in Diffusion Models via Bright Ending Attention Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu

AAAI 2025 Feature Clipping for Uncertainty Calibration Linwei Tao, Minjing Dong, Chang Xu

ICCV 2025 Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation Yuheng Shi, Minjing Dong, Chang Xu

ICLRW 2025 Investigating Memorization in Video Diffusion Models Chen Chen, Enhuai Liu, Daochang Liu, Mubarak Shah, Chang Xu

ICLR 2025 Learning Mask Invariant Mutual Information for Masked Image Modeling Tao Huang, Yanxiang Ma, Shan You, Chang Xu

ICCV 2025 Lumina-Image 2.0: A Unified and Efficient Image Generative Framework Qi Qin, Le Zhuo, Yi Xin, Ruoyi Du, Zhen Li, Bin Fu, Yiting Lu, Xinyue Li, Dongyang Liu, Xiangyang Zhu, Will Beddow, Erwann Millon, Victor Perez, Wenhai Wang, Yu Qiao, Bo Zhang, Xiaohong Liu, Hongsheng Li, Chang Xu, Peng Gao

NeurIPS 2025 MIRA: Medical Time Series Foundation Model for Real-World Health Data Hao Li, Bowen Deng, Chang Xu, ZhiYuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian

ICLR 2025 MarS: A Financial Market Simulation Engine Powered by Generative Foundation Model Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

CVPR 2025 Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation Fangyun Wei, Jinjing Zhao, Kun Yan, Chang Xu

ICML 2025 Position: AI Scaling: From up to Down and Out Yunke Wang, Yanxi Li, Chang Xu

ICLR 2025 Representative Guidance: Diffusion Model Sampling with Coherence Anh-Dung Dinh, Daochang Liu, Chang Xu

ICCV 2025 SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images Gencer Sumbul, Chang Xu, Emanuele Dalsasso, Devis Tuia

NeurIPS 2025 SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning Chen Chen, Majid Abdolshah, Violetta Shevchenko, Hongdong Li, Chang Xu, Pulak Purkait

ICML 2025 Stable Fair Graph Representation Learning with Lipschitz Constraint Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu

AAAI 2025 TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian

CVPR 2025 Uncertainty Weighted Gradients for Model Calibration Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu

ICLR 2025 Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu

CVPR 2025 UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo

NeurIPS 2025 VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching Siyu Xu, Yunke Wang, Chenghao Xia, Dihao Zhu, Tao Huang, Chang Xu

ICCV 2025 VSSD: Vision Mamba with Non-Causal State Space Duality Yuheng Shi, Mingjia Li, Minjing Dong, Chang Xu

AAAI 2025 WaterDiffusion: Learning a Prior-Involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu

ICLR 2024 A Benchmark Study on Calibration Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu

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

AAAI 2024 AMD: Autoregressive Motion Diffusion Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu

ECCV 2024 Active Generation for Image Classification Tao Huang, Jiaqi Liu, Shan You, Chang Xu

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

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

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

ECCV 2024 ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations Li Mi, Chang Xu, Javiera Castillo Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia

ICML 2024 Data-Efficient Large Vision Models Through Sequential Autoregression Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu

ICML 2024 Detecting Any Instruction-to-Answer Interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu

ICLRW 2024 Efficient Transfer Learning in Diffusion Models via Adversarial Noise Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu

NeurIPS 2024 Enhancing Large Language Models Through Adaptive Tokenizers Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang

ICML 2024 GeminiFusion: Efficient Pixel-Wise Multimodal Fusion for Vision Transformer Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen

AAAI 2024 Harnessing Edge Information for Improved Robustness in Vision Transformers Yanxi Li, Chengbin Du, Chang Xu

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

ICML 2024 Imitation Learning from Purified Demonstrations Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu

AAAI 2024 Learning Visual Abstract Reasoning Through Dual-Stream Networks Kai Zhao, Chang Xu, Bailu Si

ECCVW 2024 LocalMamba: Visual State Space Model with Windowed Selective Scan Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu

ICLR 2024 MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian

NeurIPSW 2024 Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu

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

ICLR 2024 Neural Architecture Retrieval Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu

NeurIPSW 2024 Pruning for Robust Concept Erasing in Diffusion Models Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu

CVPR 2024 Random Entangled Tokens for Adversarially Robust Vision Transformer Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu

CVPR 2024 Residual Learning in Diffusion Models Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

CVPR 2024 Towards Memorization-Free Diffusion Models Chen Chen, Daochang Liu, Chang Xu

ECCV 2024 Training-Free Composite Scene Generation for Layout-to-Image Synthesis Jiaqi Liu, Tao Huang, Chang Xu

ECCV 2024 Visual Prompting via Partial Optimal Transport Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu

NeurIPS 2023 Adversarial Robustness Through Random Weight Sampling Yanxiang Ma, Minjing Dong, Chang Xu

CVPR 2023 Adversarial Robustness via Random Projection Filters Minjing Dong, Chang Xu

NeurIPS 2023 Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu

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

IJCAI 2023 Calibrating a Deep Neural Network with Its Predecessors Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu

AAAI 2023 ContraFeat: Contrasting Deep Features for Semantic Discovery Xinqi Zhu, Chang Xu, Dacheng Tao

NeurIPS 2023 Contrastive Sampling Chains in Diffusion Models Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu

WACV 2023 DSTrans: Dual-Stream Transformer for Hyperspectral Image Restoration Dabing Yu, Qingwu Li, Xiaolin Wang, Zhiliang Zhang, Yixi Qian, Chang Xu

NeurIPS 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

ICCV 2023 Diffusion Action Segmentation Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu

ICML 2023 Dual Focal Loss for Calibration Linwei Tao, Minjing Dong, Chang Xu

CVPR 2023 Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection Chang Xu, Jian Ding, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia

NeurIPS 2023 Knowledge Diffusion for Distillation Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu

ICLR 2023 Masked Distillation with Receptive Tokens Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu

AAAI 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu

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

CVPR 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

ICCV 2023 Personalized Image Generation for Color Vision Deficiency Population Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu

ICML 2023 PixelAsParam: A Gradient View on Diffusion Sampling with Guidance Anh-Dung Dinh, Daochang Liu, Chang Xu

CVPR 2023 Private Image Generation with Dual-Purpose Auxiliary Classifier Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu

ICCV 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

NeurIPS 2023 Rethinking Conditional Diffusion Sampling with Progressive Guidance Anh-Dung Dinh, Daochang Liu, Chang Xu

NeurIPS 2023 Revisit the Power of Vanilla Knowledge Distillation: From Small Scale to Large Scale Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang

ICCV 2023 SimMatchV2: Semi-Supervised Learning with Graph Consistency Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu

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, Lirong Dai, Chang Xu

NeurIPS 2023 Stable Diffusion Is Unstable Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu

CVPR 2023 Trade-Off Between Robustness and Accuracy of Vision Transformers Yanxi Li, Chang Xu

AAAI 2023 Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang, Bo Du, Chang Xu

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

CVPR 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

CVPR 2022 CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu

CVPR 2022 DeepFake Disrupter: The Detector of DeepFake Is My Friend Xueyu Wang, Jiajun Huang, Siqi Ma, Surya Nepal, Chang Xu

CVPR 2022 DyRep: Bootstrapping Training with Dynamic Re-Parameterization Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu

NeurIPS 2022 GhostNetV2: Enhance Cheap Operation with Long-Range Attention Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang

CVPR 2022 GreedyNASv2: Greedier Search with a Greedy Path Filter Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

CVPR 2022 Hire-MLP: Vision MLP via Hierarchical Rearrangement Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang

NeurIPS 2022 Knowledge Distillation from a Stronger Teacher Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu

ECCV 2022 One Size Does NOT Fit All: Data-Adaptive Adversarial Training Shuo Yang, Chang Xu

CVPR 2022 Patch Slimming for Efficient Vision Transformers Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao

ECCV 2022 RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia

NeurIPS 2022 Random Normalization Aggregation for Adversarial Defense Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu

ICLR 2022 Relational Surrogate Loss Learning Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu

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

CVPR 2022 SimMatch: Semi-Supervised Learning with Similarity Matching Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu

ICML 2022 Spatial-Channel Token Distillation for Vision MLPs Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu

ECCV 2022 ViTAS: Vision Transformer Architecture Search Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

CVPR 2021 AdderSR: Towards Energy Efficient Image Super-Resolution Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao

AAAI 2021 Adversarial Robustness Through Disentangled Representations Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

NeurIPS 2021 An Empirical Study of Adder Neural Networks for Object Detection Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang

NeurIPS 2021 Augmented Shortcuts for Vision Transformers Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang

CVPR 2021 BCNet: Searching for Network Width with Bilaterally Coupled Network Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

ICML 2021 Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu, Chang Xu, Dacheng Tao

ICCVW 2021 DeepFake MNIST+: A DeepFake Facial Animation Dataset Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu

CVPR 2021 Distilling Object Detectors via Decoupled Features Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu

CVPRW 2021 Dot Distance for Tiny Object Detection in Aerial Images Chang Xu, Jinwang Wang, Wen Yang, Lei Yu

NeurIPS 2021 Handling Long-Tailed Feature Distribution in AdderNets Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

CVPR 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

ICML 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

NeurIPS 2021 Learning Frequency Domain Approximation for Binary Neural Networks Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

ICCV 2021 Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang

CVPR 2021 Learning Student Networks in the Wild Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

ICML 2021 Learning to Weight Imperfect Demonstrations Yunke Wang, Chang Xu, Bo Du, Honglak Lee

ICLR 2021 Locally Free Weight Sharing for Network Width Search Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu

CVPR 2021 Manifold Regularized Dynamic Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu

NeurIPS 2021 Neural Architecture Dilation for Adversarial Robustness Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu

AAAI 2021 One-Shot Graph Neural Architecture Search with Dynamic Search Space Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu

AAAI 2021 PTN: A Poisson Transfer Network for Semi-Supervised Few-Shot Learning Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu

CVPR 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

CVPR 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

CVPR 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

CVPR 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

NeurIPS 2021 ReSSL: Relational Self-Supervised Learning with Weak Augmentation Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

IJCAI 2021 Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations Yunke Wang, Chang Xu, Bo Du

NeurIPS 2021 Towards Stable and Robust AdderNets Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu

ICCV 2021 Weakly Supervised Contrastive Learning Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu

CVPR 2021 Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu, Chang Xu, Dacheng Tao

NeurIPS 2020 Adapting Neural Architectures Between Domains Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu

AAAI 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

AAAI 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

AAAI 2020 Efficient Residual Dense Block Search for Image Super-Resolution Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang

NeurIPS 2020 Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

ECCV 2020 Learning Disentangled Representations with Latent Variation Predictability Xinqi Zhu, Chang Xu, Dacheng Tao

AAAI 2020 Learning Student Networks with Few Data Shumin Kong, Tianyu Guo, Shan You, Chang Xu

ICML 2020 Neural Architecture Search in a Proxy Validation Loss Landscape Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu

ECCV 2020 On Dropping Clusters to Regularize Graph Convolutional Neural Networks Xikun Zhang, Chang Xu, Dacheng Tao

ECCV 2020 Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu

AAAI 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

NeurIPS 2020 SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

NeurIPS 2020 Searching for Low-Bit Weights in Quantized Neural Networks Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu

ICML 2020 Training Binary Neural Networks Through Learning with Noisy Supervision Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu

NeurIPS 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

IJCAI 2019 Attribute Aware Pooling for Pedestrian Attribute Recognition Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu

IJCAI 2019 Crafting Efficient Neural Graph of Large Entropy Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu

AAAI 2019 Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data Mike Li, Elija Perrier, Chang Xu

IJCAI 2019 Learning Instance-Wise Sparsity for Accelerating Deep Models Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu

NeurIPS 2019 Learning from Bad Data via Generation Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

ICML 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

AAAI 2019 Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu

IJCAI 2019 On Retrospecting Human Dynamics with Attention Minjing Dong, Chang Xu

IJCAI 2019 Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu

NeurIPS 2019 Positive-Unlabeled Compression on the Cloud Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu

AAAI 2019 Smooth Deep Image Generator from Noises Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

AAAI 2018 Adversarial Learning of Portable Student Networks Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

ECCV 2018 Attention-GAN for Object Transfiguration in Wild Images Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao

NeurIPS 2018 Learning Versatile Filters for Efficient Convolutional Neural Networks Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao

AAAI 2018 Learning with Single-Teacher Multi-Student Shan You, Chang Xu, Chao Xu, Dacheng Tao

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

AAAI 2018 Reinforced Multi-Label Image Classification by Exploring Curriculum Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao

ICML 2017 Beyond Filters: Compact Feature mAP for Portable Deep Model Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

AAAI 2017 Beyond RPCA: Flattening Complex Noise in the Frequency Domain Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

IJCAI 2017 Collaborative Rating Allocation Yali Du, Chang Xu, Dacheng Tao

AAAI 2017 Cost-Sensitive Feature Selection via F-Measure Optimization Reduction Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

IJCAI 2017 Fast SVM Trained by Divide-and-Conquer Anchors Meng Liu, Chang Xu, Chao Xu, Dacheng Tao

IJCAI 2017 Multi-Positive and Unlabeled Learning Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao

IJCAI 2017 Online Reputation Fraud Campaign Detection in User Ratings Chang Xu, Jie Zhang, Zhu Sun

IJCAI 2017 Privileged Matrix Factorization for Collaborative Filtering Yali Du, Chang Xu, Dacheng Tao

IJCAI 2017 Privileged Multi-Label Learning Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao

IJCAI 2017 Tag Disentangled Generative Adversarial Network for Object Image Re-Rendering Chaoyue Wang, Chaohui Wang, Chang Xu, Dacheng Tao

NeurIPS 2016 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu

ACML 2015 Improving Sybil Detection via Graph Pruning and Regularization Techniques Huanhuan Zhang, Jie Zhang, Carol Fung, Chang Xu

AAAI 2015 Large-Margin Multi-Label Causal Feature Learning Chang Xu, Dacheng Tao, Chao Xu

IJCAI 2015 Multi-View Self-Paced Learning for Clustering Chang Xu, Dacheng Tao, Chao Xu

ICML 2014 Large-Margin Weakly Supervised Dimensionality Reduction Chang Xu, Dacheng Tao, Chao Xu, Yong Rui

AAAI 2014 Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu

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