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ORCIDYadong Mu
Person information
- affiliation: Peking University, Beijing, China
- affiliation (former): AT&T Labs, Middletown, NJ, USA
- affiliation (former): Columbia University, New York, NY, USA
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2020 – today
- 2024
[j24]Zhentao Tan
, Yadong Mu:
Hierarchical reinforcement learning for chip-macro placement in integrated circuit. Pattern Recognit. Lett. 179: 108-114 (2024)- [j23]Chenchen Liu, Yadong Mu:
Multi-Granularity Interaction for Multi-Person 3D Motion Prediction. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1546-1558 (2024) - [j22]Xinghan Wang, Yadong Mu:
Localized Linear Temporal Dynamics for Self-Supervised Skeleton Action Recognition. IEEE Trans. Multim. 26: 10189-10199 (2024) - [c91]Hao Jiang, Yang Yizhang, Yadong Mu:
Transferable Video Moment Localization by Moment-Guided Query Prompting. AAAI 2024: 2516-2524 - [c90]Hanwen Liu, Zhicheng Sun, Yadong Mu:
Countering Personalized Text-to-Image Generation with Influence Watermarks. CVPR 2024: 12257-12267 - [c89]Zhicheng Sun, Jinghan Li, Yadong Mu:
Exploring Orthogonality in Open World Object Detection. CVPR 2024: 17302-17312 - [c88]Hao Jiang, Bingfeng Zhou, Yadong Mu:
Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning. CVPR 2024: 27518-27527 - [c87]Kangqi Ma, Hao Dong, Yadong Mu:
Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection. ECCV (74) 2024: 1-18 - [c86]Yang Jin, Yadong Mu:
Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment. ECCV (48) 2024: 412-429 - [c85]Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. ICLR 2024 - [c84]Chenguo Lin, Yadong Mu:
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior. ICLR 2024 - [c83]Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu:
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. ICML 2024 - [c82]Zhentao Tan, Yadong Mu:
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem. ICML 2024 - [i35]Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu:
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. CoRR abs/2402.03161 (2024) - [i34]Chenguo Lin, Yadong Mu:
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior. CoRR abs/2402.04717 (2024) - [i33]Xinghan Wang, Zixi Kang, Yadong Mu:
Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion. CoRR abs/2404.11375 (2024) - [i32]Hongyu Yan, Yadong Mu:
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images. CoRR abs/2404.16423 (2024) - [i31]Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Di Zhang, Yang Song, Kun Gai, Yadong Mu:
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance. CoRR abs/2405.14677 (2024) - [i30]Zhentao Tan, Yadong Mu:
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem. CoRR abs/2406.09899 (2024) - [i29]Panwang Pan, Zhuo Su, Chenguo Lin, Zhen Fan, Yongjie Zhang, Zeming Li, Tingting Shen, Yadong Mu, Yebin Liu:
HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors. CoRR abs/2406.12459 (2024) - [i28]Chenguo Lin, Yuchen Lin, Panwang Pan, Xuanyang Zhang, Yadong Mu:
InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior. CoRR abs/2407.07580 (2024) - [i27]Kangqi Ma, Hao Dong, Yadong Mu:
Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection. CoRR abs/2407.15771 (2024) - [i26]Jinghan Li, Zhicheng Sun, Fei Li, Cao Sheng, Jiazhong Yu, Yadong Mu:
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling. CoRR abs/2410.01440 (2024) - [i25]Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin:
Pyramidal Flow Matching for Efficient Video Generative Modeling. CoRR abs/2410.05954 (2024) - 2023
- [j21]Guoqiang Gong, Linchao Zhu, Yadong Mu:
Language-Guided Multi-Granularity Context Aggregation for Temporal Sentence Grounding. IEEE Trans. Multim. 25: 7402-7414 (2023) - [c81]Xinzhe Zhou, Yadong Mu:
Tree-Structured Trajectory Encoding for Vision-and-Language Navigation. AAAI 2023: 3814-3824 - [c80]Xinghan Wang, Xin Xu, Yadong Mu:
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition. CVPR 2023: 10597-10607 - [c79]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce. CVPR 2023: 11060-11069 - [c78]Zhicheng Sun, Yadong Mu, Gang Hua:
Regularizing Second-Order Influences for Continual Learning. CVPR 2023: 20166-20175 - [c77]Borui Jiang, Yang Jin, Zhentao Tan, Yadong Mu:
Video Action Segmentation via Contextually Refined Temporal Keypoints. ICCV 2023: 13790-13799 - [c76]Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu:
Trapdoor Normalization with Irreversible Ownership Verification. ICML 2023: 22177-22187 - [c75]Peiran Xu, Yadong Mu:
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion. ACM Multimedia 2023: 2744-2755 - [c74]Borui Jiang, Yadong Mu:
Diffused Fourier Network for Video Action Segmentation. ACM Multimedia 2023: 5474-5483 - [c73]Zhicheng Sun, Yadong Mu:
Rewiring Neurons in Non-Stationary Environments. NeurIPS 2023 - [c72]Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi:
Image Completion with Heterogeneously Filtered Spectral Hints. WACV 2023: 4580-4590 - [c71]Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu:
Curriculum Graph Poisoning. WWW 2023: 2011-2021 - [i24]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce. CoRR abs/2304.02853 (2023) - [i23]Zhicheng Sun, Yadong Mu, Gang Hua:
Regularizing Second-Order Influences for Continual Learning. CoRR abs/2304.10177 (2023) - [i22]Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu:
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. CoRR abs/2309.04669 (2023) - [i21]Peiran Xu, Yadong Mu:
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion. CoRR abs/2309.07753 (2023) - 2022
- [j20]Yang Jin, Wenhao Jiang, Yi Yang, Yadong Mu:
Zero-Shot Video Event Detection With High-Order Semantic Concept Discovery and Matching. IEEE Trans. Multim. 24: 1896-1908 (2022) - [c70]Yang Jin, Linchao Zhu, Yadong Mu:
Complex Video Action Reasoning via Learnable Markov Logic Network. CVPR 2022: 3232-3241 - [c69]Hao Jiang, Yadong Mu:
Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer. CVPR 2022: 16367-16377 - [c68]Peijun Bao, Yadong Mu:
Learning Sample Importance for Cross-Scenario Video Temporal Grounding. ICMR 2022: 322-329 - [c67]Ben Xue, Chenchen Liu, Yadong Mu:
Video2Subtitle: Matching Weakly-Synchronized Sequences via Dynamic Temporal Alignment. ICMR 2022: 342-350 - [c66]Zhicheng Sun, Yadong Mu:
Patch-based Knowledge Distillation for Lifelong Person Re-Identification. ACM Multimedia 2022: 696-707 - [c65]Hao Jiang, Yadong Mu:
Conditional Diffusion Process for Inverse Halftoning. NeurIPS 2022 - [c64]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. NeurIPS 2022 - [i20]Peijun Bao, Yadong Mu:
Learning Sample Importance for Cross-Scenario Video Temporal Grounding. CoRR abs/2201.02848 (2022) - [i19]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. CoRR abs/2209.13306 (2022) - [i18]Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi:
Image Completion with Heterogeneously Filtered Spectral Hints. CoRR abs/2211.03700 (2022) - 2021
- [j19]Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao:
Deep High-Resolution Representation Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3349-3364 (2021) - [c63]Peijun Bao, Qian Zheng, Yadong Mu:
Dense Events Grounding in Video. AAAI 2021: 920-928 - [c62]Changsheng Liu, Yuan Huang, Yadong Mu, Xiaoming Yu:
DRENet: Giving Full Scope to Detection and Regression-Based Estimation for Video Crowd Counting. ICANN (2) 2021: 15-27 - [c61]Borui Jiang, Yadong Mu:
Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference. ICCVW 2021: 336-344 - [c60]Changsheng Liu, Yuan Huang, Yadong Mu, Xiaoming Yu:
PointerNet: Spatiotemporal Modeling for Crowd Counting in Videos. ICDLT 2021: 26-31 - [c59]Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu:
Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes. ICME 2021: 1-6 - [c58]Liangfeng Zheng, Yongzhi Li, Yadong Mu:
Learning Factorized Cross-View Fusion for Multi-View Crowd Counting. ICME 2021: 1-6 - [c57]Guoqiang Gong, Liangfeng Zheng, Wenhao Jiang, Yadong Mu:
Self-Supervised Video Action Localization with Adversarial Temporal Transforms. IJCAI 2021: 693-699 - [c56]Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu:
Learning 3-D Human Pose Estimation from Catadioptric Videos. IJCAI 2021: 852-859 - [c55]Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu:
Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection. IJCAI 2021: 3462-3469 - [c54]Xinzhe Zhou, Yadong Mu:
Question-Guided Semantic Dual-Graph Visual Reasoning with Novel Answers. ICMR 2021: 411-419 - [c53]Nan Zhuang, Yadong Mu:
Joint Hand-Object Pose Estimation with Differentiably-Learned Physical Contact Point Analysis. ICMR 2021: 420-428 - [c52]Chenchen Liu, Yadong Mu:
Searching Motion Graphs for Human Motion Synthesis. ACM Multimedia 2021: 871-879 - [i17]Guiyu Tian, Wenhao Jiang, Wei Liu, Yadong Mu:
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds. CoRR abs/2105.04839 (2021) - [i16]Xinzhe Zhou, Wei Liu, Yadong Mu:
Rethinking the Spatial Route Prior in Vision-and-Language Navigation. CoRR abs/2110.05728 (2021) - 2020
- [c51]Ruihai Wu, Kehan Xu, Chenchen Liu, Nan Zhuang, Yadong Mu:
Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection. AAAI 2020: 12297-12304 - [c50]Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang:
Weakly-Supervised Action Localization by Generative Attention Modeling. CVPR 2020: 1006-1016 - [c49]Guoqiang Gong, Xinghan Wang, Yadong Mu, Qi Tian:
Learning Temporal Co-Attention Models for Unsupervised Video Action Localization. CVPR 2020: 9816-9825 - [c48]Chenchen Liu, Yang Jin, Kehan Xu, Guoqiang Gong, Yadong Mu:
Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context. CVPR 2020: 10837-10846 - [c47]Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang:
Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. CVPR 2020: 11801-11810 - [c46]Yongzhi Li, Duo Zhang, Yadong Mu:
Visual-Semantic Matching by Exploring High-Order Attention and Distraction. CVPR 2020: 12783-12792 - [c45]Guoqiang Gong, Liangfeng Zheng, Yadong Mu:
Scale Matters: Temporal Scale Aggregation Network For Precise Action Localization In Untrimmed Videos. ICME 2020: 1-6 - [c44]Yongzhi Li, Lu Chi, Guiyu Tian, Yadong Mu, Shen Ge, Zhi Qiao, Xian Wu, Wei Fan:
Spectrally-Enforced Global Receptive Field For Contextual Medical Image Segmentation And Classification. ICME 2020: 1-6 - [c43]Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang:
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. ICML 2020: 8828-8839 - [c42]Xinzhe Zhou, Yadong Mu:
Google Helps YouTube: Learning Few-Shot Video Classification from Historic Tasks and Cross-Domain Sample Transfer. ICMR 2020: 172-179 - [c41]Guiyu Tian, Shuai Wang, Jie Feng, Li Zhou, Yadong Mu:
Cap2Seg: Inferring Semantic and Spatial Context from Captions for Zero-Shot Image Segmentation. ACM Multimedia 2020: 4125-4134 - [c40]Lu Chi, Borui Jiang, Yadong Mu:
Fast Fourier Convolution. NeurIPS 2020 - [i15]Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang:
Weakly-Supervised Action Localization by Generative Attention Modeling. CoRR abs/2003.12424 (2020) - [i14]Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang:
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. CoRR abs/2008.04254 (2020)
2010 – 2019
- 2019
- [j18]Xinzhe Zhou, Yigeng Fang, Yadong Mu:
Learning single-shot vehicle orientation estimation from large-scale street panoramas. Neurocomputing 367: 319-327 (2019) - [j17]Xiaobai Liu, Qian Xu, Thuan Chau, Yadong Mu, Lei Zhu, Shuicheng Yan:
Revisiting Jump-Diffusion Process for Visual Tracking: A Reinforcement Learning Approach. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2431-2441 (2019) - [c39]Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek:
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. AAAI 2019: 8441-8448 - [c38]Chenchen Liu, Xinyu Weng, Yadong Mu:
Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization. CVPR 2019: 1217-1226 - [c37]Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian:
Two-Stream Video Classification with Cross-Modality Attention. ICCV Workshops 2019: 4511-4520 - [c36]Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu:
High-Capacity Convolutional Video Steganography with Temporal Residual Modeling. ICMR 2019: 87-95 - [c35]Lu Chi, Guiyu Tian, Yadong Mu, Lingxi Xie, Qi Tian:
Fast Non-Local Neural Networks with Spectral Residual Learning. ACM Multimedia 2019: 2142-2151 - [i13]Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang:
High-Resolution Representations for Labeling Pixels and Regions. CoRR abs/1904.04514 (2019) - [i12]Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian:
Two-Stream Video Classification with Cross-Modality Attention. CoRR abs/1908.00497 (2019) - [i11]Guoqiang Gong, Liangfeng Zheng, Kun Bai, Yadong Mu:
Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos. CoRR abs/1908.00707 (2019) - [i10]Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao:
Deep High-Resolution Representation Learning for Visual Recognition. CoRR abs/1908.07919 (2019) - 2018
- [j16]Xiaobai Liu, Yuanlu Xu, Lei Zhu, Yadong Mu:
A Stochastic Attribute Grammar for Robust Cross-View Human Tracking. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2884-2895 (2018) - [j15]Xiaobai Liu, Qian Xu, Yadong Mu, Jiadi Yang, Liang Lin, Shuicheng Yan:
High-Precision Camera Localization in Scenes with Repetitive Patterns. ACM Trans. Intell. Syst. Technol. 9(6): 66:1-66:21 (2018) - [i9]Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu:
Convolutional Video Steganography with Temporal Residual Modeling. CoRR abs/1806.02941 (2018) - 2017
- [j14]Yadong Mu, Wei Liu, Xiaobai Liu, Wei Fan:
Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization. IEEE Trans. Knowl. Data Eng. 29(2): 458-471 (2017) - [c34]Yadong Mu, Zhu Liu:
Deep Hashing: A Joint Approach for Image Signature Learning. AAAI 2017: 2380-2386 - [c33]Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li:
Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. AAAI 2017: 4183-4189 - [c32]Lu Chi, Yadong Mu:
Learning End-to-End Autonomous Steering Model from Spatial and Temporal Visual Cues. VSCC@MM 2017: 9-16 - [c31]Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu:
Temporal Binary Coding for Large-Scale Video Search. ACM Multimedia 2017: 333-341 - [c30]Xiaobai Liu, Yadong Mu, Yu-Gang Jiang, Jiebo Luo:
VSCC'2017: Visual Analysis for Smart and Connected Communities. ACM Multimedia 2017: 1976-1977 - [c29]Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, Heng Tao Shen:
Classification by Retrieval: Binarizing Data and Classifiers. SIGIR 2017: 595-604 - [e1]Xiaobai Liu, Yadong Mu, Yu-Gang Jiang, Jiebo Luo:
Proceedings of the Workshop on Visual Analysis in Smart and Connected Communities, VSCC@MM 2017, Mountain View, CA, USA, October 23, 2017. ACM 2017, ISBN 978-1-4503-5506-3 [contents] - [i8]Wenhan Luo, Peng Sun, Yadong Mu, Wei Liu:
End-to-end Active Object Tracking via Reinforcement Learning. CoRR abs/1705.10561 (2017) - [i7]Lu Chi, Yadong Mu:
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues. CoRR abs/1708.03798 (2017) - 2016
- [c28]Yadong Mu:
Fixed-Rank Supervised Metric Learning on Riemannian Manifold. AAAI 2016: 1941-1947 - [c27]Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao:
Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval. IJCAI 2016: 1860-1866 - [c26]Xiaobai Liu, Yadong Mu, Liang Lin:
A Stochastic Image Grammar for Fine-Grained 3D Scene Reconstruction. IJCAI 2016: 3425-3431 - [i6]Fumin Shen, Yadong Mu, Wei Liu, Yang Yang, Heng Tao Shen:
Learning Binary Codes and Binary Weights for Efficient Classification. CoRR abs/1603.04116 (2016) - [i5]Yadong Mu, Zhu Liu:
Deep Hashing: A Joint Approach for Image Signature Learning. CoRR abs/1608.03658 (2016) - 2015
- [j13]Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li:
Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. Signal Process. 112: 137-145 (2015) - [j12]Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li:
Large-Scale Unsupervised Hashing with Shared Structure Learning. IEEE Trans. Cybern. 45(9): 1811-1822 (2015) - [c25]Ge Luo, Ke Yi, Siu-Wing Cheng, Zhenguo Li, Wei Fan, Cheng He, Yadong Mu:
Piecewise linear approximation of streaming time series data with max-error guarantees. ICDE 2015: 173-184 - [i4]Yadong Mu, Wei Liu, Wei Fan:
Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization. CoRR abs/1506.08350 (2015) - 2014
- [j11]Yadong Mu, Yi Yang, Liangliang Cao, Shuicheng Yan, Qi Tian:
Guest Editorial: Special issue on large scale multimedia semantic indexing. Comput. Vis. Image Underst. 124: 1-2 (2014) - [j10]Yadong Mu, Wei Liu, Shuicheng Yan:
Video De-Fencing. IEEE Trans. Circuits Syst. Video Technol. 24(7): 1111-1121 (2014) - [j9]