Yadong Mu
Wangxuan Institute of Computer Technology
No. 128, Zhong-Guan-Cun North Street
Peking University, Beijing 100080, China
E-mail: myd AT pku.edu.cn OR muyadong AT gmail DOT com

 

 

2024
  • 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, [pdf]
    Forty-first International Conference on Machine Learning (ICML) 2024.
  • Zhentao Tan, Yadong Mu
    Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem, [pdf]
    Forty-first International Conference on Machine Learning (ICML) 2024.
  • 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, [pdf]
    The Twelfth International Conference on Learning Representations (ICLR) 2024.
  • Chenguo Lin, Yadong Mu
    InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior, [pdf]
    The Twelfth International Conference on Learning Representations (ICLR) 2024. (spotlight)
  • Hao Jiang, Yizhang Yang, Yadong Mu
    Transferable Video Moment Localization by Moment-Guided Query Prompting, [pdf]
    The 38th AAAI Conference on Artificial Intelligence (AAAI) 2024.
  • Hao Jiang, Bingfeng Zhou, Yadong Mu
    Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning, [pdf]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024.
  • Zhicheng Sun, Jinghan Li, Yadong Mu
    Exploring Orthogonality in Open World Object Detection, [pdf]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024.
  • Hanwen Liu, Zhicheng Sun, Yadong Mu
    Countering Personalized Text-to-Image Generation with Influence Watermarks, [pdf]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024.
  • Zhentao Tan, Yadong Mu
    Hierarchical Reinforcement Learning for Chip-Macro Placement in Integrated Circuit, [pdf]
    Pattern Recognition Letters 2024.
  • Xinghan Wang, Yadong Mu
    Localized Linear Temporal Dynamics for Self-supervised Skeleton Action Recognition, [pdf]
    IEEE Transactions on Multimedia 2024.
  • Xinghan Wang, Zixi Kang, Yadong Mu
    Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion, [pdf]
    Arxiv 2024.
  • Hongyu Yan, Yadong Mu
    Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images, [pdf]
    Arxiv 2024.
2023
  • Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu
    Curriculum Graph Poisoning, [pdf]
    International World Wide Web Conference (WWW) 2023.
  • Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu
    Trapdoor Normalization with Irreversible Ownership Verification, [pdf]
    International Conference on Machine Learning (ICML) 2023.
  • Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan, Andranik Sargsyan, Yadong Mu, Humphrey Shi
    Image Completion with Heterogeneously Filtered Spectral Hints, [pdf]
    Winter Conference on Applications of Computer Vision 2023.
  • Xinzhe Zhou, Yadong Mu
    Tree-Structured Trajectory Encoding for Vision-and-Language Navigation, [pdf]
    AAAI 2023.
  • Zhicheng Sun, Yadong Mu, Gang Hua
    Regularizing Second-Order Influences for Continual Learning, [pdf]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
  • Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu
    Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce, [pdf]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
  • Xinghan Wang, Xin Xu, Yadong Mu
    Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition, [pdf]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
  • Borui Jiang, Yang Jin, Zhentao Tan, Yadong Mu
    Video Action Segmentation via Contextually Refined Temporal Keypoints, [pdf]
    International Conference on Computer Vision (ICCV) 2023.
  • Chenchen Liu, Yadong Mu
    Multi-Granularity Interaction for Multi-Person 3D Motion Prediction, [pdf]
    IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) 2023.
  • Borui Jiang, Yadong Mu
    Diffused Fourier Network for Video Action Segmentation, [pdf]
    ACM Multimedia 2023.
  • Peiran Xu, Yadong Mu
    Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion, [pdf]
    ACM Multimedia 2023.
  • Zhicheng Sun, Yadong Mu
    Rewiring Neurons in Non-Stationary Environments, [pdf]
    NeurIPS 2023.
2022
  • Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu
    Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding, [pdf] [code]
    NeurIPS 2022.
  • Hao Jiang, Yadong Mu
    Conditional Diffusion Process for Inverse Halftoning, [pdf]
    NeurIPS 2022.
  • Yang Jin, Linchao Zhu, Yadong Mu
    Complex Video Action Reasoning via Learnable Markov Logic Network, [pdf][supp]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
  • Hao Jiang, Yadong Mu
    Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer, [pdf][supp]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
  • Xinzhe Zhou, Wei Liu, Yadong Mu
    Rethinking the Spatial Route Prior in Vision-and-Language Navigation, [pdf]
    arXiv:2110.05728
  • Peijun Bao, Yadong Mu
    Learning Sample Importance for Cross-Scenario Video Temporal Grounding, [pdf]
    ACM International Conference on Multimedia Retrieval (ICMR) 2022.
  • Ben Xue, Chenchen Liu, Yadong Mu
    Video2Subtitle: Matching Weakly-Synchronized Sequences via Dynamic Temporal Alignment, [pdf]
    ACM International Conference on Multimedia Retrieval (ICMR) 2022.
  • Zhicheng Sun, Yadong Mu
    Patch-based Knowledge Distillation for Lifelong Person Re-Identification, [pdf]
    ACM Multimedia 2022.
  • Guoqiang Gong, Linchao Zhu, Yadong Mu
    Language-Guided Multi-Granularity Context Aggregation for Temporal Sentence Grounding, [pdf]
    IEEE Transactions on Multimedia 2022.
2021
  • Guiyu Tian, Wenhao Jiang, Wei Liu, Yadong Mu
    Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds, [pdf]
    arXiv:2105.04839
  • Hengfeng Huang, Bowen Xiao, Ziming Liu, Zeming Wu, Yadong Mu, and Huichao Song
    Applications of Deep Learning to Relativistic Hydrodynamics, [pdf]
    Physical Review Research.
  • Chenchen Liu, Yadong Mu
    Searching Motion Graphs for Human Motion Synthesis, [pdf]
    ACM Multimedia 2021.
  • Borui Jiang, Yadong Mu
    Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference, [pdf]
    ICCV Workshops 2021.
  • Peijun Bao, Qian Zheng, Yadong Mu
    Dense Events Grounding in Video, [pdf] [code]
    Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021.
  • Yang Jin, Wenhao Jiang, Yi Yang, Yadong Mu
    Zero-Shot Video Event Detection with High-Order Semantic Concept Discovery and Matching, [pdf]
    IEEE Transactions on Multimedia, 2021.
  • Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu
    Learning 3-D Human Pose Estimation from Catadioptric Videos, [pdf]
    The 30th International Joint Conference on Artificial Intelligence (IJCAI) 2021.
  • Guoqiang Gong, Liangfeng Zheng, Wenhao Jiang, Yadong Mu
    Self-Supervised Video Action Localization with Adversarial Temporal Transforms, [pdf]
    The 30th International Joint Conference on Artificial Intelligence (IJCAI) 2021.
  • Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu
    Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection, [pdf]
    The 30th International Joint Conference on Artificial Intelligence (IJCAI) 2021.
  • Xinzhe Zhou, Yadong Mu
    Question-Guided Semantic Dual-Graph Visual Reasoning with Novel Answers, [pdf]
    The Annual ACM International Conference on Multimedia Retrieval (ICMR) 2021.
  • Nan Zhuang, Yadong Mu
    Joint Hand-Object Pose Estimation with Differentiably-Learned Physical Contact Point Analysis, [pdf]
    The Annual ACM International Conference on Multimedia Retrieval (ICMR) 2021.
  • Liangfeng Zheng, Yongzhi Li, Yadong Mu
    Learning Factorized Cross-View Fusion for Multi-View Crowd Counting, [pdf]
    IEEE International Conference on Multimedia and Expo (ICME) 2021.
  • Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu
    Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes, [pdf]
    IEEE International Conference on Multimedia and Expo (ICME) 2021.
2020
  • Chenchen Liu, Yang Jin, Kehan Xu, Guoqiang Gong, Yadong Mu
    Beyond Short-Term Snippet: Video Relation Detection with Spatio-Temporal Global Context, [pdf] [code] [data & features]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
  • Yongzhi Li, Duo Zhang, Yadong Mu
    Visual-Semantic Matching by Exploring High-Order Attention and Distraction, [pdf]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
  • Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang
    Non-Local Neural Networks with Grouped Bilinear Attentional Transforms, [pdf] [supplemental] [code]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
  • Guoqiang Gong, Xinghan Wang, Yadong Mu, Qi Tian
    Learning Temporal Co-Attention Models for Unsupervised Video Action Localization, [pdf] [code]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020 (Oral Presentation).
  • Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang
    Weakly-Supervised Action Localization by Generative Attention Modeling, [pdf] [code]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
  • Ruihai Wu, Kehan Xu, Chenchen Liu, Nan Zhuang, Yadong Mu
    Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection, [pdf]
    Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020) (Oral Presentation)
  • Xinzhe Zhou, Yadong Mu
    Google Helps YouTube: Learning Few-Shot Video Classification from Historic Tasks and Cross-Domain Sample Transfer, [pdf]
    ACM International Conference on Multimedia Retrieval (ICMR) 2020 (Oral Presentation)
  • Guoqiang Gong, Liangfeng Zheng, Kun Bai, Yadong Mu
    Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos, [pdf]
    IEEE International Conference on Multimedia and Expo (ICME) 2020 (Oral Presentation)
  • 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, [pdf]
    IEEE International Conference on Multimedia and Expo (ICME) 2020
  • 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, [pdf] [code]
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
  • Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang
    Informative Dropout for Robust Representation Learning: A Shape-bias Perspective, [pdf] [code]
    International Conference on Machine Learning (ICML) 2020
  • Guiyu Tian, Shuai Wang, Jie Feng, Li Zhou, Yadong Mu
    Cap2Seg: Inferring Semantic and Spatial Context from Captions for Zero-Shot Image Segmentation, [pdf]
    ACM International Conference on Multimedia (ACMMM) 2020
  • Lu Chi, Borui Jiang, Yadong Mu
    Fast Fourier Convolution, [pdf] [code]
    Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) 2020.
2019
  • 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, [pdf]
    CoRR abs/1904.04514
  • Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian
    Two-Stream Video Classification with Cross-Modality Attention, [pdf]
    ICCV Workshops 2019.
  • Xinzhe Zhou, Lu Chi, Yigeng Fang, Yadong Mu,
    Learning Single-Shot Vehicle Orientation Estimation from Large-Scale Street Panoramas,
    Neurocomputing 2019.
  • Lu Chi, Guiyu Tian, Yadong Mu, Lingxi Xie, Qi Tian,
    Fast Non-Local Neural Networks with Spectral Residual Learning, [pdf] [code]
    ACM Multimedia 2019.
  • Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu
    High-Capacity Convolutional Video Steganography with Temporal Residual Modeling, [pdf] [code]
    ICMR, 2019. (Oral Presentation)
  • Chenchen Liu, Xinyu Weng, Yadong Mu
    Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization, [pdf] [code]
    CVPR, 2019.
  • Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G. M. Snoek
    Attention-based Multi-Context Guiding for Few-Shot Semantic Segmentation, [pdf]
    AAAI, 2019.
  • Xiaobai Liu, Qian Xu, Thuan Chau, Yadong Mu, Lei Zhu, Shuicheng Yan
    Revisiting Jump-Diffusion Process for Visual Tracking: A Reinforcement Learning Perspective, [pdf]
    IEEE Transactions on Circuits and Systems for Video Technology (CSVT), 2019
2018
  • Hengfeng Huang, Bowen Xiao, Huixin Xiong, Zeming Wu, Yadong Mu, Huichao Song
    Applications of Deep Learning to Relativistic Hydrodynamics,[pdf]
    Nuclear Physcis Section A, 2018
  • Xiaobai Liu, Yuanlu Xu, Lei Zhu, Yadong Mu
    A Stochastic Attribute Grammar for Robust Cross-View Human Tracking, [pdf]
    IEEE Transactions on Circuits and Systems for Video Technology (CSVT), 2018
  • Xiaobai Liu, Qian Xu, Yadong Mu, Jiadi Yang, Liang Lin, Shuicheng Yan
    High-Precision Camera Localization in Scenes with Repetitive Patterns, [pdf]
    ACM TIST 9(6): 66:1-66:21, 2018
2017
  • Lu Chi, Yadong Mu
    Learning End-to-End Autonomous Steering Model from Spatial and Temporal Visual Cues, [pdf]
    ACM Multimedia Workshops 2017.
  • Yadong Mu, Zhu Liu
    Deep Hashing: A Joint Approach for Image Signature Learning, [pdf]
    Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017
  • Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li
    Boosting Complementary Hash Tables for Fast Nearest Neighbor Search,[pdf]
    Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017
  • Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, Heng Tao Shen
    Classification by Retrieval: Binarizing Data and Classifiers,[pdf]
    SIGIR, 2017 (full-length paper, best paper honourable mention)
  • Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu
    Temporal Binary Coding for Large-Scale Video Search,[pdf]
    ACM Multimedia 2017 (full-length paper)
2016
  • Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao,
    Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval, [pdf]
    International Joint Conference on Artificial Intelligence (IJCAI), 2016
  • Xiaobai Liu, Yadong Mu, Liang Lin,
    A Stochastic Grammar for Fine-grained 3D Scene Reconstruction, [pdf]
    International Joint Conference on Artificial Intelligence (IJCAI), 2016
  • Yadong Mu,
    Fixed-Rank Supervised Metric Learning on Riemannian Manifold, [pdf] [bibtex]
    Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016
  • Yadong Mu, Wei Liu, Xiaobai Liu, Wei Fan
    Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization, [pdf] [bibtex]
    to appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016
  • Fumin Shen, Yadong Mu, Wei Liu, Yang Yang, Heng Tao Shen,
    Learning Binary Codes and Binary Weights for Efficient Classification, [pdf] [bibtex]
    CoRR abs/1603.04116, 2016
2015
  • 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, [pdf] [bibtex]
    IEEE International Conference on Data Engineering (ICDE)
  • Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li,
    Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing, [pdf] [bibtex]
    Signal Processing 112: 137-145, 2015
  • Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li,
    Large-Scale Unsupervised Hashing with Shared Structure Learning, [pdf] [bibtex]
    IEEE Trans. Cybernetics 45(9): 1811-1822, 2015
2014
  • Yadong Mu, Yi Yang, Liangliang Cao, Shuicheng Yan, Qi Tian,
    Guest Editorial: Special issue on large scale multimedia semantic indexing, [pdf] [bibtex]
    Computer Vision and Image Understanding 124: 1-2, 2014
  • Yadong Mu, Wei Liu, Shuicheng Yan,
    Video De-Fencing, [pdf] [bibtex]
    IEEE Trans. Circuits Syst. Video Techn. 24(7): 1111-1121, 2014
  • Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang,
    Mixed image-keyword query adaptive hashing over multilabel images, [pdf] [bibtex]
    ACM Transactions on Multimedia Computing, Communications, and Applications, 10(2): 22, 2014
  • Yadong Mu, Gang Hua, Wei Fan, Shih-Fu Chang,
    Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification, [pdf] [bibtex]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 979-986, 2014
  • Junbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan,
    Supervised deep learning with auxiliary networks, [pdf] [bibtex]
    ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2014
2013
  • Yadong Mu,
    Computational facial attractiveness prediction by aesthetics-aware features, [pdf] [bibtex]
    Neurocomputing 99: 59-64, 2013
  • Xiangyu Chen, Yadong Mu, Hairong Liu, Shuicheng Yan, Yong Rui, Tat-Seng Chua,
    Large-scale multilabel propagation based on efficient sparse graph construction, [pdf] [bibtex]
    ACM Transactions on Multimedia Computing, Communications, and Applications, 10(1): 6, 2013
  • Ameet Talwalkar, Lester W. Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan,
    Distributed Low-Rank Subspace Segmentation, [pdf] [bibtex]
    IEEE International Conference on Computer Vision (ICCV), 2013
2012
  • Yadong Mu, Xiangyu Chen, Xianglong Liu, Tat-Seng Chua, Shuicheng Yan,
    Multimedia semantics-aware query-adaptive hashing with bits reconfigurability, [pdf] [bibtex]
    International Journal of Multimedia Information Retrieval (IJMIR) 1(1): 59-70, 2012
  • Yadong Mu, John Wright, Shih-Fu Chang,
    Accelerated Large Scale Optimization by Concomitant Hashing, [pdf] [bibtex]
    European Conference on Computer Vision (ECCV), 2012
  • Liangliang Cao, Yadong Mu, Apostol Natsev, Shih-Fu Chang, Gang Hua, John R. Smith,
    Scene Aligned Pooling for Complex Video Recognition, [pdf] [bibtex]
    European Conference on Computer Vision (ECCV), 2012
  • Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay Cotton, Dan Ellis, Leiguang Gong, Matthew Hill, Gang Hua, John Kender, Michele Merler, Yadong Mu, John R. Smith, and Felix X. Yu,
    IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems, [pdf] [bibtex]
    NIST TRECVID Workshop, 2012 (authors in alphabetic order).
  • Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang,
    Compact Hyperplane Hashing with Bilinear Functions, [pdf] [bibtex]
    International Conference on Machine Learning (ICML), 2012
  • Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang,
    Compact hashing for mixed image-keyword query over multi-label images, [pdf][slides] [bibtex]
    International Conference on Multimedia Retrieval (ICMR), 2012
  • Liangliang Cao, Zhenguo Li, Yadong Mu, Shih-Fu Chang,
    Submodular video hashing: a unified framework towards video pooling and indexing, [pdf] [bibtex]
    ACM Multimedia 2012 (full-length paper)
2011
  • Yadong Mu, Bingfeng Zhou,
    Non-uniform multiple kernel learning with cluster-based gating functions, [pdf] [bibtex]
    Neurocomputing 74(7): 1095-1101, 2011
  • Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay Cotton, Dan Ellis, Leiguang Gong, Matthew Hill, Gang Hua, John Kender, Michele Merler, Yadong Mu, Apostol Natsev and John R. Smith,
    IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System, [pdf] [bibtex]
    NIST TRECVID Workshop, 2011 (authors in alphabetic order).
  • Bing-Kun Bao, Bingbing Ni, Yadong Mu, Shuicheng Yan,
    Efficient region-aware large graph construction towards scalable multi-label propagation, [pdf] [bibtex]
    Pattern Recognition 44(3): 598-606, 2011
  • Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan,
    Accelerated low-rank visual recovery by random projection, [pdf] [bibtex]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
  • Dong Liu, Shuicheng Yan, Yadong Mu, Xian-Sheng Hua, Shih-Fu Chang, Hong-Jiang Zhang,
    Towards Optimal Discriminating Order for Multiclass Classification, [pdf] [bibtex]
    IEEE International Conference on Data Mining (ICDM), 2011
  • Yadong Mu, Xiangyu Chen, Tat-Seng Chua, Shuicheng Yan,
    Learning reconfigurable hashing for diverse semantics, [pdf] [bibtex]
    International Conference on Multimedia Retrieval (ICMR), 2011
2010
  • Kui Hu, Zhi Tang, Liangcai Gao, Yadong Mu,
    MC-JBIG2: an improved algorithm for Chinese textual image compression, [pdf] [bibtex]
    International Journal on Document Analysis and Recognition (IJDAR) 13(4): 271-28, 2010
  • Yadong Mu, Bingfeng Zhou, Shuicheng Yan,
    Information-Theoretic Analysis of Input Strokes in Visual Object Cutout, [pdf] [bibtex]
    IEEE Trans. Multimedia 12(8): 843-852, 2011
  • Yadong Mu, Shuicheng Yan,
    Non-Metric Locality-Sensitive Hashing, [pdf] [bibtex]
    AAAI 2010
  • Yadong Mu, Jialie Shen, Shuicheng Yan,
    Weakly-supervised hashing in kernel space, [pdf] [bibtex]
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
  • Yadong Mu, Ju Sun, Tony X. Han, Loong Fah Cheong, Shuicheng Yan,
    Randomized Locality Sensitive Vocabularies for Bag-of-Features Model, [pdf] [bibtex]
    European Conference on Computer Vision (ECCV), 2010
  • Ju Sun, Yadong Mu, Shuicheng Yan, Loong Fah Cheong,
    Activity recognition using dense long-duration trajectories, [pdf] [bibtex]
    IEEE International Conference on Multimedia and Expo, (ICME), 2010
  • Xiangyu Chen, Yadong Mu, Shuicheng Yan, Tat-Seng Chua,
    Efficient large-scale image annotation by probabilistic collaborative multi-label propagation, [pdf] [bibtex]
    ACM Multimedia, 2010 (full-length paper)
Before 2010
  • Yadong Mu, Bingfeng Zhou,
    Connectivity similarity based transductive learning for interactive image segmentation, [pdf] [bibtex]
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009
  • Yadong Mu, Bingfeng Zhou,
    Prior-guided automatic object cutout in personal album, [bibtex]
    IEEE International Conference on Multimedia and Expo (ICME), 2009
  • Yadong Mu, Shuicheng Yan, Thomas S. Huang, Bingfeng Zhou,
    Contextual motion field-based distance for video analysis, [pdf] [bibtex]
    The Visual Computer 24(7-9): 595-603, 2008
  • Yadong Mu, Shuicheng Yan, Yi Liu, Thomas S. Huang, Bingfeng Zhou,
    Discriminative local binary patterns for human detection in personal album, [pdf] [bibtex]
    IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008
  • Yadong Mu, Bingfeng Zhou,
    Co-segmentation of Image Pairs with Quadratic Global Constraint in MRFs, [pdf] [bibtex]
    Asian Conference on Computer Vision (ACCV), 2007