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ORCIDChang Xu 0002
Charles Xu 0002
Person information
- affiliation: University of Sydney, School of Information Technologies, UBTECH Sydney Artificial Intelligence Centre, NSW, Australia
- affiliation (former): Peking University, Beijing, China
Other persons with the same name
- Chang Xu — disambiguation page
- Chang Xu 0001
![[0000-0002-6299-4704]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6299-4704")
— Nanjing University, Department of Computer Science and Technology / State Key Laboratory for Novel Software Technology, China (and 1 more) - Chang Xu 0003 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Chang Xu 0004 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Chang Xu 0005 — IBM China Research Labs (and 1 more)
- Chang Xu 0006 — Purdue University
- Chang Xu 0007 — Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, China
- Chang Xu 0008 — Microsoft Research Asia, Beijing, China (and 1 more)
- Chang Xu 0009 — QIAGEN, Frederick , MD, USA (and 1 more)
- Chang Xu 0010 — Zhejiang University of Water Resources and Electric Power, School of Geomatics and Municipal Engineering, Hangzhou, China (and 1 more)
- Chang Xu 0011 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China
- Chang Xu 0012 — University of Virginia, School of Engineering and Applied Science, Charlottesville, VA, USA
- Charles Xu 0001 — Cruise Automation, San Francisco, CA, USA
- Charles Xu 0003 — University of California, Berkeley, CA, USA
- Charles Xu 0004 — Yale University, Department of Computer Science, New Haven, CT, USA
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2020 – today
- 2025
[j59]Laibin Chang, Yunke Wang, Bo Du, Chang Xu:
Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing. Neural Networks 181: 106809 (2025)- 2024
- [j58]Yunke Wang, Bo Du, Wenyuan Wang, Chang Xu:
Multi-tailed vision transformer for efficient inference. Neural Networks 174: 106235 (2024) - [j57]Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
Weak Augmentation Guided Relational Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8502-8516 (2024) - [j56]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: 722-734 (2024) - [j55]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: 5014-5025 (2024) - [j54]Jiajun Huang, Chengbin Du, Xinqi Zhu, Siqi Ma, Surya Nepal, Chang Xu:
Anti-Compression Contrastive Facial Forgery Detection. IEEE Trans. Multim. 26: 6166-6177 (2024) - [j53]Zhijian Wu, Jun Li, Chang Xu, Dingjiang Huang, Steven C. H. Hoi:
RUN: Rethinking the UNet Architecture for Efficient Image Restoration. IEEE Trans. Multim. 26: 10381-10394 (2024) - [c175]Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu:
AMD: Autoregressive Motion Diffusion. AAAI 2024: 2022-2030 - [c174]Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu:
Residual Learning in Diffusion Models. CVPR 2024: 7289-7299 - [c173]Chen Chen, Daochang Liu, Chang Xu:
Towards Memorization-Free Diffusion Models. CVPR 2024: 8425-8434 - [c172]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Random Entangled Tokens for Adversarially Robust Vision Transformer. CVPR 2024: 24554-24563 - [c171]Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu:
Visual Prompting via Partial Optimal Transport. ECCV (35) 2024: 1-18 - [c170]Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu:
Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. ECCV (54) 2024: 109-125 - [c169]Hongyan Xu, Xiaohuan Pei, Xiu Su, Shan You, Chang Xu:
TCNAS: Transformer Architecture Evolving in Code Clone Detection. ICASSP 2024: 5745-5749 - [c168]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: 6225-6229 - [c167]Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu:
Neural Architecture Retrieval. ICLR 2024 - [c166]Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu:
A Benchmark Study on Calibration. ICLR 2024 - [c165]Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu:
Data-efficient Large Vision Models through Sequential Autoregression. ICML 2024 - [c164]Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen:
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. ICML 2024 - [c163]Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu:
Imitation Learning from Purified Demonstrations. ICML 2024 - [c162]Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu:
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning. ICML 2024 - [c161]Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu:
Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA. ICML 2024 - [c160]Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. IJCAI 2024: 1416-1424 - [c159]Liujie Hua, Yichao Cao, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu:
Image Anomaly Detection Based on Controllable Self-Augmentation. IJCNN 2024: 1-10 - [i149]Yunke Wang, Linwei Tao, Bo Du, Yutian Lin, Chang Xu:
Visual Imitation Learning with Calibrated Contrastive Representation. CoRR abs/2401.11396 (2024) - [i148]Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang:
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR abs/2402.03749 (2024) - [i147]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 abs/2402.04841 (2024) - [i146]Tao Huang, Jiaqi Liu, Shan You, Chang Xu:
Active Generation for Image Classification. CoRR abs/2403.06517 (2024) - [i145]Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu:
LocalMamba: Visual State Space Model with Windowed Selective Scan. CoRR abs/2403.09338 (2024) - [i144]Xiaohuan Pei, Tao Huang, Chang Xu:
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba. CoRR abs/2403.09977 (2024) - [i143]Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu:
Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR abs/2403.11468 (2024) - [i142]Chen Chen, Daochang Liu, Chang Xu:
Towards Memorization-Free Diffusion Models. CoRR abs/2404.00922 (2024) - [i141]Peng Tu, Xun Zhou, Mingming Wang, Xiaojun Yang, Bo Peng, Ping Chen, Xiu Su, Yawen Huang, Yefeng Zheng, Chang Xu:
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization. CoRR abs/2404.04875 (2024) - [i140]Yuheng Shi, Minjing Dong, Chang Xu:
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. CoRR abs/2405.14174 (2024) - [i139]Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen:
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR abs/2406.01210 (2024) - [i138]Daochang Liu, Axel Hu, Mubarak Shah, Chang Xu:
Surgical Triplet Recognition via Diffusion Model. CoRR abs/2406.13210 (2024) - [i137]Anh-Dung Dinh, Daochang Liu, Chang Xu:
Compress Guidance in Conditional Diffusion Sampling. CoRR abs/2408.11194 (2024) - [i136]Wenhao Li, Yichao Cao, Xiu Su, Xi Lin, Shan You, Mingkai Zheng, Yi Chen, Chang Xu:
Training-free Long Video Generation with Chain of Diffusion Model Experts. CoRR abs/2408.13423 (2024) - [i135]Linwei Tao, Haolan Guo, Minjing Dong, Chang Xu:
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors. CoRR abs/2410.12295 (2024) - [i134]Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu:
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model. CoRR abs/2410.18639 (2024) - [i133]Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu:
Exploring Local Memorization in Diffusion Models via Bright Ending Attention. CoRR abs/2410.21665 (2024) - [i132]Chen Chen, Enhuai Liu, Daochang Liu, Mubarak Shah, Chang Xu:
Investigating Memorization in Video Diffusion Models. CoRR abs/2410.21669 (2024) - 2023
- [j52]Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu:
Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7595-7610 (2023) - [j51]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): 8936-8953 (2023) - [j50]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): 14888-14904 (2023) - [j49]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): 6459-6473 (2023) - [j48]Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu:
Improving Lightweight AdderNet via Distillation From ℓ2 to ℓ1-norm. IEEE Trans. Image Process. 32: 5524-5536 (2023) - [j47]Dalu Guo, Chang Xu, Dacheng Tao:
Bilinear Graph Networks for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1023-1034 (2023) - [j46]Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu:
Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1639-1650 (2023) - [j45]Minjing Dong, Chang Xu:
Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10419-10432 (2023) - [c158]Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu:
Neural Architecture Search for Wide Spectrum Adversarial Robustness. AAAI 2023: 442-451 - [c157]Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu:
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. AAAI 2023: 2938-2946 - [c156]Yunke Wang, Bo Du, Chang Xu:
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. AAAI 2023: 10262-10270 - [c155]Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. AAAI 2023: 11470-11478 - [c154]Minjing Dong, Chang Xu:
Adversarial Robustness via Random Projection Filters. CVPR 2023: 4077-4086 - [c153]Yanxi Li, Chang Xu:
Trade-off between Robustness and Accuracy of Vision Transformers. CVPR 2023: 7558-7568 - [c152]Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu:
Private Image Generation with Dual-Purpose Auxiliary Classifier. CVPR 2023: 20361-20370 - [c151]Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang:
PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation with Progressive Video Transformers. CVPR 2023: 21254-21263 - [c150]Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. ICCV 2023: 10105-10115 - [c149]Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang:
What Can Simple Arithmetic Operations Do for Temporal Modeling? ICCV 2023: 13666-13676 - [c148]Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu:
Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. ICCV 2023: 14146-14156 - [c147]Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu:
SimMatchV2: Semi-Supervised Learning with Graph Consistency. ICCV 2023: 16386-16396 - [c146]Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu:
Personalized Image Generation for Color Vision Deficiency Population. ICCV 2023: 22514-22523 - [c145]Yichao Cao, Qingfei Tang, Feng Yang, Xiu Su, Shan You, Xiaobo Lu, Chang Xu:
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. ICCV 2023: 23435-23446 - [c144]Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu:
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. ICDM 2023: 1121-1126 - [c143]Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu:
Masked Distillation with Receptive Tokens. ICLR 2023 - [c142]AnhDung Dinh, Daochang Liu, Chang Xu:
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML 2023: 8120-8137 - [c141]Linwei Tao, Minjing Dong, Chang Xu:
Dual Focal Loss for Calibration. ICML 2023: 33833-33849 - [c140]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. IJCAI 2023: 4271-4279 - [c139]Ziqing Lu, Chang Xu, Bo Du:
MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. IJCNN 2023: 1-6 - [c138]Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu:
Learning to Schedule in Diffusion Probabilistic Models. KDD 2023: 2478-2488 - [c137]Yichao Cao, Qingfei Tang, Xiu Su, Song Chen, Shan You, Xiaobo Lu, Chang Xu:
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. NeurIPS 2023 - [c136]Anh-Dung Dinh, Daochang Liu, Chang Xu:
Rethinking Conditional Diffusion Sampling with Progressive Guidance. NeurIPS 2023 - [c135]Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu:
Stable Diffusion is Unstable. NeurIPS 2023 - [c134]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. NeurIPS 2023 - [c133]Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu:
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. NeurIPS 2023 - [c132]Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu:
Knowledge Diffusion for Distillation. NeurIPS 2023 - [c131]Yanxiang Ma, Minjing Dong, Chang Xu:
Adversarial Robustness through Random Weight Sampling. NeurIPS 2023 - [c130]Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. NeurIPS 2023 - [c129]Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu:
Contrastive Sampling Chains in Diffusion Models. NeurIPS 2023 - [i131]Zunzhi You, Daochang Liu, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. CoRR abs/2302.01056 (2023) - [i130]Jiajun Huang, Xinqi Zhu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu:
Anti-Compression Contrastive Facial Forgery Detection. CoRR abs/2302.06183 (2023) - [i129]Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu:
Calibrating a Deep Neural Network with Its Predecessors. CoRR abs/2302.06245 (2023) - [i128]Yunke Wang, Bo Du, Chang Xu:
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. CoRR abs/2302.06271 (2023) - [i127]Chuyang Zhou, Jiajun Huang, Daochang Liu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu:
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection. CoRR abs/2302.10437 (2023) - [i126]Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang:
PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers. CoRR abs/2303.09187 (2023) - [i125]Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. CoRR abs/2303.17959 (2023) - [i124]Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, Samuel Albanie:
Can GPT-4 Perform Neural Architecture Search? CoRR abs/2304.10970 (2023) - [i123]Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li:
AMD: Autoregressive Motion Diffusion. CoRR abs/2305.09381 (2023) - [i122]Linwei Tao, Minjing Dong, Chang Xu:
Dual Focal Loss for Calibration. CoRR abs/2305.13665 (2023) - [i121]Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu:
Knowledge Diffusion for Distillation. CoRR abs/2305.15712 (2023) - [i120]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. CoRR abs/2305.15781 (2023) - [i119]Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu:
Stable Diffusion is Unstable. CoRR abs/2306.02583 (2023) - [i118]Xiaohuan Pei, Yanxi Li, Chang Xu:
GPT Self-Supervision for a Better Data Annotator. CoRR abs/2306.04349 (2023) - [i117]Zhongwei Qiu, Qiansheng Yang, Jian Wang, Xiyu Wang, Chang Xu, Dongmei Fu, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang:
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation. CoRR abs/2306.17074 (2023) - [i116]Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu:
Neural Architecture Retrieval. CoRR abs/2307.07919 (2023) - [i115]Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang:
What Can Simple Arithmetic Operations Do for Temporal Modeling? CoRR abs/2307.08908 (2023) - [i114]Yichao Cao, Xiu Su, Qingfei Tang, Feng Yang, Shan You, Xiaobo Lu, Chang Xu:
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. CoRR abs/2307.13529 (2023) - [i113]Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu:
SimMatchV2: Semi-Supervised Learning with Graph Consistency. CoRR abs/2308.06692 (2023) - [i112]Mingkai Zheng, Shan You, Lang Huang, Xiu Su, Fei Wang, Chen Qian, Xiaogang Wang, Chang Xu:
CoNe: Contrast Your Neighbours for Supervised Image Classification. CoRR abs/2308.10761 (2023) - [i111]Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu:
A Benchmark Study on Calibration. CoRR abs/2308.11838 (2023) - [i110]Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. CoRR abs/2308.11941 (2023) - [i109]Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu:
Efficient Transfer Learning in Diffusion Models via Adversarial Noise. CoRR abs/2308.11948 (2023) - [i108]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. CoRR abs/2309.09480 (2023) - [i107]Zijiang Yang, Zhongwei Qiu, Chang Xu, Dongmei Fu:
MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field. CoRR abs/2309.13607 (2023) - [i106]Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu:
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks. CoRR abs/2309.16207 (2023) - [i105]Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu:
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. CoRR abs/2310.04750 (2023) - [i104]Yunke Wang, Minjing Dong, Bo Du, Chang Xu:
Imitation Learning from Purified Demonstration. CoRR abs/2310.07143 (2023) - [i103]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.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - [i102]Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu:
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR abs/2310.19444 (2023) - [i101]Yichao Cao, Qingfei Tang, Xiu Su, Chen Song, Shan You, Xiaobo Lu, Chang Xu:
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. CoRR abs/2311.03799 (2023) - [i100]Wenhao Li, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Chang Xu:
Not All Steps are Equal: Efficient Generation with Progressive Diffusion Models. CoRR abs/2312.13307 (2023) - 2022
- [j44]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): 1050-1069 (2022) - [j43]Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu:
Neural architecture tuning with policy adaptation. Neurocomputing 485: 196-204 (2022) - [j42]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): 2657-2672 (2022) - [j41]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): 3590-3601 (2022) - [j40]