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2020 – today
- 2025
[i63]Xiaojie Li, Yibo Yang, Jianlong Wu, David A. Clifton, Yue Yu, Bernard Ghanem, Min Zhang:
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning. CoRR abs/2501.05017 (2025)- 2024
- [j23]Xiangtai Li, Jiangning Zhang, Yibo Yang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong
, Dacheng Tao:
Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow. Int. J. Comput. Vis. 132(2): 466-489 (2024) - [j22]Jiangning Zhang, Xiangtai Li, Yabiao Wang, Chengjie Wang, Yibo Yang, Yong Liu, Dacheng Tao:
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm. Int. J. Comput. Vis. 132(9): 3509-3536 (2024) - [j21]Qi Wang, Can Luo, Shuai Yang, Shuo Xu, Yibo Yang, Jie Jia, Bin Yu:
MRehab: A Mixed Reality Rehabilitation System Supporting Integrated Speech and Hand Training. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 133:1-133:23 (2024) - [j20]Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, Dacheng Tao:
Towards Open Vocabulary Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5092-5113 (2024) - [j19]Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Ming-Hsuan Yang, Dacheng Tao:
Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11087-11103 (2024) - [j18]Yangyang Xu, Xiangtai Li, Haobo Yuan, Yibo Yang, Lefei Zhang:
Multi-Task Learning With Multi-Query Transformer for Dense Prediction. IEEE Trans. Circuits Syst. Video Technol. 34(2): 1228-1240 (2024) - [j17]Yiliang Luo, Gulan Zhang, Guowei Liang, Xiangwen Li, Jing Duan, Lei Li, Qihong Zhong, Yibo Yang, Ziheng Li, Fengchi Yang, Feng Qian:
Limited-Label Multiscale Deep-Learning Multihorizon Tracking. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c50]Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang:
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. ECCV (68) 2024: 306-325 - [c49]Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem:
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. ICML 2024 - [c48]Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem:
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning. NeurIPS 2024 - [c47]Lei Yu, Yifan Xin, Pengfei Wang, Guangzhen Luo, Pengfei Ma, Zheng Wang, Licheng Chen, Yibo Yang, Yejin Zhang, Jiaoqing Pan:
Large-scale integrated focal plane array for two-dimensional scanning. OFC 2024: 1-3 - [i62]Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang:
RAP-SAM: Towards Real-Time All-Purpose Segment Anything. CoRR abs/2401.10228 (2024) - [i61]Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang:
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. CoRR abs/2403.12003 (2024) - [i60]Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem:
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. CoRR abs/2406.05222 (2024) - [i59]Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem:
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models. CoRR abs/2406.05223 (2024) - [i58]Xiaojie Li, Yibo Yang, Jianlong Wu, Bernard Ghanem, Liqiang Nie, Min Zhang:
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning. CoRR abs/2407.06136 (2024) - [i57]Yibo Yang, Justus C. Will, Stephan Mandt:
Progressive Compression with Universally Quantized Diffusion Models. CoRR abs/2412.10935 (2024) - [i56]Xin Wang, Boyan Gao, Yi Dai, Lei Cao, Liang Zhao, Yibo Yang, David A. Clifton:
Cognition Chain for Explainable Psychological Stress Detection on Social Media. CoRR abs/2412.14009 (2024) - [i55]Sihao Liu, Yibo Yang, Xiaojie Li, David A. Clifton, Bernard Ghanem:
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization. CoRR abs/2412.18177 (2024) - 2023
- [j16]Yibo Yang, Zhengyang Shen, Huan Li, Zhouchen Lin:
Optimization-inspired manual architecture design and neural architecture search. Sci. China Inf. Sci. 66(11) (2023) - [j15]Xinke Ma, Hengfei Cui, Shuoyan Li, Yibo Yang, Yong Xia:
Deformable medical image registration with global-local transformation network and region similarity constraint. Comput. Medical Imaging Graph. 108: 102263 (2023) - [j14]Yibo Yang, Stephan Mandt, Lucas Theis:
An Introduction to Neural Data Compression. Found. Trends Comput. Graph. Vis. 15(2): 113-200 (2023) - [j13]Liang Xie, Yibo Yang, Deng Cai, Xiaofei He:
Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning. Neurocomputing 527: 60-70 (2023) - [j12]Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao:
Improving Video Instance Segmentation via Temporal Pyramid Routing. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6594-6601 (2023) - [j11]Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao:
TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7853-7869 (2023) - [j10]Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt:
Insights From Generative Modeling for Neural Video Compression. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9908-9921 (2023) - [c46]Yangyang Xu, Yibo Yang, Lefei Zhang:
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction. AAAI 2023: 3072-3080 - [c45]Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CVPR 2023: 19550-19559 - [c44]Wei Rong, Yongbin Guo, Yibo Yang, Tinchen Liu, Xiaopeng Shi:
Application research of construction monitoring and warning system based on BIM in Xintian Yangtze River BridgeConstruction monitoring and warning system in Xintian Yangtze River Bridge. ICAICE 2023: 857-863 - [c43]Yibo Yang, Stephan Mandt:
Computationally-Efficient Neural Image Compression with Shallow Decoders. ICCV 2023: 530-540 - [c42]Yangyang Xu, Yibo Yang, Lefei Zhang:
Multi-Task Learning with Knowledge Distillation for Dense Prediction. ICCV 2023: 21493-21502 - [c41]Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin:
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks. ICLR 2023 - [c40]Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao:
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning. ICLR 2023 - [c39]Zhouhao Lin, Yibo Yang, Anrui Huang, Zeyang Shou, Qizhong Zhang:
Self-training Based Semi-Supervised Learning and U-Net with Denoiser for Teeth Segmentation in X-Ray Image. SemiToothSeg@MICCAI 2023: 124-132 - [c38]Yibo Yang, Stephan Eckstein, Marcel Nutz, Stephan Mandt:
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent. NeurIPS 2023 - [i54]Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Dacheng Tao:
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. CoRR abs/2301.00954 (2023) - [i53]Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia:
Understanding Imbalanced Semantic Segmentation Through Neural Collapse. CoRR abs/2301.01100 (2023) - [i52]Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh:
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification. CoRR abs/2301.01597 (2023) - [i51]Yangyang Xu, Yibo Yang, Lefei Zhang:
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction. CoRR abs/2301.03461 (2023) - [i50]Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao:
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning. CoRR abs/2302.03004 (2023) - [i49]Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He:
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment. CoRR abs/2302.09907 (2023) - [i48]Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao:
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR abs/2303.00501 (2023) - [i47]Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai:
Neural Collapse Inspired Federated Learning with Non-iid Data. CoRR abs/2303.16066 (2023) - [i46]Yibo Yang, Stephan Mandt:
Asymmetrically-powered Neural Image Compression with Shallow Decoders. CoRR abs/2304.06244 (2023) - [i45]Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, Dacheng Tao:
Towards Open Vocabulary Learning: A Survey. CoRR abs/2306.15880 (2023) - [i44]Yibo Yang, Haobo Yuan, Xiangtai Li, Jianlong Wu, Lefei Zhang, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao, Bernard Ghanem:
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants. CoRR abs/2308.01746 (2023) - [i43]Yangyang Xu, Yibo Yang, Bernard Ghanem, Lefei Zhang, Du Bo, Dacheng Tao:
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction. CoRR abs/2308.05721 (2023) - [i42]Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao:
ShadowNet for Data-Centric Quantum System Learning. CoRR abs/2308.11290 (2023) - [i41]Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Ameneh Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song:
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. CoRR abs/2309.00810 (2023) - [i40]Peifeng Gao, Qianqian Xu, Yibo Yang, Peisong Wen, Huiyang Shao, Zhiyong Yang, Bernard Ghanem, Qingming Huang:
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges. CoRR abs/2310.08358 (2023) - [i39]Yibo Yang, Stephan Eckstein, Marcel Nutz, Stephan Mandt:
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent. CoRR abs/2310.18908 (2023) - 2022
- [j9]Mufeng Tang, Yibo Yang, Yali Amit:
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks. Frontiers Comput. Neurosci. 16 (2022) - [c37]Ruibin Wang, Yibo Yang, Dacheng Tao:
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation. CVPR 2022: 14351-14360 - [c36]Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang:
Eliminating Gradient Conflict in Reference-based Line-Art Colorization. ECCV (17) 2022: 579-596 - [c35]Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao:
PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation. ECCV (27) 2022: 582-599 - [c34]Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, Xinge You:
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums. ECCV (22) 2022: 682-700 - [c33]Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao:
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation. ECCV (27) 2022: 729-747 - [c32]Shilin Xu, Xiangtai Li, Yibo Yang, Hongyang Li, Guangliang Cheng, Yunhai Tong:
Query Learning of Both Thing and Stuff for Panoptic Segmentation. ICIP 2022: 716-720 - [c31]Yibo Yang, Stephan Mandt:
Towards Empirical Sandwich Bounds on the Rate-Distortion Function. ICLR 2022 - [c30]Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao:
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS 2022 - [c29]Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin:
Towards Theoretically Inspired Neural Initialization Optimization. NeurIPS 2022 - [i38]Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao:
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers. CoRR abs/2201.05047 (2022) - [i37]Yibo Yang, Stephan Mandt, Lucas Theis:
An Introduction to Neural Data Compression. CoRR abs/2202.06533 (2022) - [i36]Yibo Yang, Georgios Kissas, Paris Perdikaris:
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors. CoRR abs/2203.03048 (2022) - [i35]Robin Wang, Yibo Yang, Dacheng Tao:
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation. CoRR abs/2203.03888 (2022) - [i34]Yibo Yang, Liang Xie, Shixiang Chen, Xiangtai Li, Zhouchen Lin, Dacheng Tao:
Do We Really Need a Learnable Classifier at the End of Deep Neural Network? CoRR abs/2203.09081 (2022) - [i33]Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao:
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation. CoRR abs/2204.04655 (2022) - [i32]Liang Xie, Yibo Yang, Deng Cai, Xiaofei He:
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning. CoRR abs/2204.08735 (2022) - [i31]Yangyang Xu, Xiangtai Li, Haobo Yuan, Yibo Yang, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao:
Multi-Task Learning with Multi-query Transformer for Dense Prediction. CoRR abs/2205.14354 (2022) - [i30]Jiangning Zhang, Xiangtai Li, Yabiao Wang, Chengjie Wang, Yibo Yang, Yong Liu, Dacheng Tao:
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm. CoRR abs/2206.09325 (2022) - [i29]Xiangtai Li, Jiangning Zhang, Yibo Yang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Dacheng Tao:
SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow. CoRR abs/2207.04415 (2022) - [i28]Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang:
Eliminating Gradient Conflict in Reference-based Line-Art Colorization. CoRR abs/2207.06095 (2022) - [i27]Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin:
Towards Theoretically Inspired Neural Initialization Optimization. CoRR abs/2210.05956 (2022) - 2021
- [j8]Tiancheng Shen, Yibo Yang, Zhouchen Lin, Mingbin Zhang:
Recurrent learning with clique structures for prostate sparse-view CT artifacts reduction. IET Image Process. 15(3): 648-655 (2021) - [j7]Ting Zhang, Ruiqing Yang, Yibo Yang, Long Li, Longqian Chen:
Assessing the Urban Eco-Environmental Quality by the Remote-Sensing Ecological Index: Application to Tianjin, North China. ISPRS Int. J. Geo Inf. 10(7): 475 (2021) - [j6]Gang Pang, Yibo Yang, Xavier Antoine, Shaoqiang Tang:
Stability and convergence analysis of artificial boundary conditions for the Schrödinger equation on a rectangular domain. Math. Comput. 90(332): 2731-2756 (2021) - [c28]Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin:
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search. CVPR 2021: 6667-6676 - [c27]Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt:
Hierarchical Autoregressive Modeling for Neural Video Compression. ICLR 2021 - [i26]Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin:
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search. CoRR abs/2101.11342 (2021) - [i25]Yibo Yang, Antoine Blanchard, Themistoklis P. Sapsis, Paris Perdikaris:
Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs. CoRR abs/2102.10085 (2021) - [i24]Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt:
Insights from Generative Modeling for Neural Video Compression. CoRR abs/2107.13136 (2021) - [i23]Mufeng Tang, Yibo Yang, Yali Amit:
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks. CoRR abs/2109.15089 (2021) - [i22]Yibo Yang, Stephan Mandt:
Towards Empirical Sandwich Bounds on the Rate-Distortion Function. CoRR abs/2111.12166 (2021) - [i21]Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao:
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation. CoRR abs/2112.02582 (2021) - 2020
- [c26]Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin:
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. AAAI 2020: 6648-6655 - [c25]Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin:
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. AAAI 2020: 12637-12644 - [c24]Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu:
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. CVPR 2020: 8947-8956 - [c23]Yibo Yang, Robert Bamler, Stephan Mandt:
Variational Bayesian Quantization. ICML 2020: 10670-10680 - [c22]Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi:
Lifted Hybrid Variational Inference. IJCAI 2020: 4237-4244 - [c21]Yibo Yang, Robert Bamler, Stephan Mandt:
Improving Inference for Neural Image Compression. NeurIPS 2020 - [c20]Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin:
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding. NeurIPS 2020 - [i20]Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi:
Lifted Hybrid Variational Inference. CoRR abs/2001.02773 (2020) - [i19]Yibo Yang, Robert Bamler, Stephan Mandt:
Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding. CoRR abs/2002.08158 (2020) - [i18]Songsong Ji, Gang Pang, Jiwei Zhang, Yibo Yang, Paris Perdikaris:
Exact artificial boundary conditions of 1D semi-discretized peridynamics. CoRR abs/2002.12846 (2020) - [i17]Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu:
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. CoRR abs/2003.10211 (2020) - [i16]Yibo Yang, Mohamed Aziz Bhouri, Paris Perdikaris:
Bayesian differential programming for robust systems identification under uncertainty. CoRR abs/2004.06843 (2020) - [i15]Yibo Yang, Robert Bamler, Stephan Mandt:
Improving Inference for Neural Image Compression. CoRR abs/2006.04240 (2020) - [i14]Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin:
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding. CoRR abs/2010.06176 (2020) - [i13]Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt:
Hierarchical Autoregressive Modeling for Neural Video Compression. CoRR abs/2010.10258 (2020) - [i12]Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang:
Explicitly Learning Topology for Differentiable Neural Architecture Search. CoRR abs/2011.09300 (2020)
2010 – 2019
- 2019
- [j5]Yibo Yang, Paris Perdikaris:
Adversarial uncertainty quantification in physics-informed neural networks. J. Comput. Phys. 394: 136-152 (2019) - [c19]Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu:
Expectation-Maximization Attention Networks for Semantic Segmentation. ICCV 2019: 9166-9175 - [c18]Yongzhi Wang, Yulong Shen, Cuicui Su, Ke Cheng, Yibo Yang, Anter Faree, Yao Liu:
CFHider: Control Flow Obfuscation with Intel SGX. INFOCOM 2019: 541-549 - [c17]Bin Yang, Xu Ji, Xiaosong Ma, Xiyang Wang, Tianyu Zhang, Xiupeng Zhu, Nosayba El-Sayed, Haidong Lan, Yibo Yang, Jidong Zhai, Weiguo Liu, Wei Xue:
End-to-end I/O Monitoring on a Leading Supercomputer. NSDI 2019: 379-394 - [c16]Hao Xiong, Yuanzhen Guo, Yibo Yang, Nicholas Ruozzi:
One-Shot Inference in Markov Random Fields. UAI 2019: 102-112 - [i11]Yibo Yang, Paris Perdikaris:
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems. CoRR abs/1901.04878 (2019) - [i10]Georgios Kissas, Yibo Yang, Eileen Hwuang, Walter R. Witschey, John A. Detre, Paris Perdikaris:
Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning. CoRR abs/1905.04817 (2019) - [i9]Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu:
Expectation-Maximization Attention Networks for Semantic Segmentation. CoRR abs/1907.13426 (2019) - [i8]Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin:
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. CoRR abs/1911.07527 (2019) - [i7]Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin:
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. CoRR abs/1911.10305 (2019) - 2018
- [j4]Yibo Yang, Yongkui Ma, Wei Xiang, Xuemai Gu, Honglin Zhao:
Joint Optimization of Energy Consumption and Packet Scheduling for Mobile Edge Computing in Cyber-Physical Networks. IEEE Access 6: 15576-15586 (2018) - [j3]Songsong Ji, Yibo Yang, Gang Pang, Xavier Antoine:
Accurate artificial boundary conditions for the semi-discretized linear Schrödinger and heat equations on rectangular domains. Comput. Phys. Commun. 222: 84-93 (2018) - [j2]Ruizhong Jiang, Yibo Yang:
基于新型遗传算法的碳酸盐岩油气藏布井研究 (Research on Well Distribution in Carbonate Reservoirs Based on Novel Genetic Algorithm). 计算机科学 45(11A): 584-586 (2018) - [c15]Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin:
Optimization Algorithm Inspired Deep Neural Network Structure Design. ACML 2018: 614-629 - [c14]Qianyu Ji, Yibo Yang, JunJing Zhang, Yunsong Yan, Zhijian Zhang, Jian Wang:
Network Packet Capturing System for Communication Simulation in Smart Grid. CSPS (1) 2018: 891-898 - [c13]Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin:
Convolutional Neural Networks With Alternately Updated Clique. CVPR 2018: 2413-2422 - [c12]Yongzhi Wang, Yulong Shen, Ke Cheng, Yibo Yang, Cuicui Su, Anter Faree:
Obfuscating program control flow with Intel SGX. ICSE (Companion Volume) 2018: 321-322 - [c11]Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang:
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. NeurIPS 2018: 165-175 - [i6]Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin:
Convolutional Neural Networks with Alternately Updated Clique. CoRR abs/1802.10419 (2018) - [i5]Yibo Yang, Nicholas Ruozzi, Vibhav Gogate:
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization. CoRR abs/1806.05355 (2018) - [i4]Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang:
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. CoRR abs/1809.04508 (2018) - [i3]Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin:
Optimization Algorithm Inspired Deep Neural Network Structure Design. CoRR abs/1810.01638 (2018) - [i2]Yibo Yang, Paris Perdikaris:
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks. CoRR abs/1811.04026 (2018) - [i1]Yibo Yang, Paris Perdikaris:
Physics-informed deep generative models. CoRR abs/1812.03511 (2018) - 2017
- [j1]Gang Pang, Yibo Yang, Shaoqiang Tang:
Exact Boundary Condition for Semi-discretized Schrödinger Equation and Heat Equation in a Rectangular Domain. J. Sci. Comput. 72(1): 1-13 (2017) - [c10]Yibo Yang, Honglin Zhao:
A Social Aware Routing Protocol with Multi-social Features in Opportunistic Mobile Social Networks. CSPS 2017: 353-360 - [c9]Yibo Yang, Honglin Zhao, Xuemai Gu:
Improve Energy Consumption and Packet Scheduling for Mobile Edge Computing. CSPS 2017: 1659-1666 - [c8]Yongzhi Wang, Lingtong Liu, Cuicui Su, Jiawen Ma, Lei Wang, Yibo Yang, Yulong Shen, Guangxia Li, Tao Zhang, Xuewen Dong:
CryptSQLite: Protecting Data Confidentiality of SQLite with Intel SGX. NaNA 2017: 303-308 - 2014
- [c7]Yibo Yang, Wenfu Xu, Zonggao Mu:
Dynamic modeling and vibration properties study for flexible-joint space manipulators. ROBIO 2014: 2443-2448 - 2013
- [c6]Yibo Yang, Hongling Li, Qiong Huang:
Mobility management in VANET. WOCC 2013: 298-303 - 2012
- [c5]Qiong Huang, Yibo Yang, Rong Chai, Qianbin Chen:
Relay vehicle based access network selection scheme for Vehicular Ad Hoc Network. WCSP 2012: 1-6 - 2010
- [c4]Renwang He, Dandan Xie, Yuling Zhao, Yibo Yang:
Simulation Study of a Novel Algorithm for Digital Relaying Based on FPGA. CCTA (2) 2010: 517-520
2000 – 2009
Coauthor Index
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