Co-segmentation of Image Pairs with Quadratic Global Constraint in MRFs. - Yadong Mu; Bingfeng Zhou (ACCV (2), 2007)

Discriminative local binary patterns for human detection in personal album. - Yadong Mu; Shuicheng Yan; Yi Liu; Thomas S. Huang; Bingfeng Zhou (CVPR, 2008)

Contextual motion field-based distance for video analysis. - Yadong Mu; Shuicheng Yan; Thomas S. Huang; Bingfeng Zhou (Vis. Comput., 2008)

Connectivity similarity based transductive learning for interactive image segmentation. - Yadong Mu; Bingfeng Zhou (ICASSP, 2009)

Prior-guided automatic object cutout in personal album. - Yadong Mu; Bingfeng Zhou (ICME, 2009)

Non-Metric Locality-Sensitive Hashing. - Yadong Mu; Shuicheng Yan (AAAI, 2010)

Weakly-supervised hashing in kernel space. - Yadong Mu; Jialie Shen 001; Shuicheng Yan (CVPR, 2010)

Randomized Locality Sensitive Vocabularies for Bag-of-Features Model. - Yadong Mu; Ju Sun; Tony X. Han; Loong Fah Cheong; Shuicheng Yan (ECCV (3), 2010)

Activity recognition using dense long-duration trajectories. - Ju Sun; Yadong Mu; Shuicheng Yan; Loong Fah Cheong (ICME, 2010)

Efficient large-scale image annotation by probabilistic collaborative multi-label propagation. - Xiangyu Chen; Yadong Mu; Shuicheng Yan; Tat-Seng Chua (ACM Multimedia, 2010)

MC-JBIG2: an improved algorithm for Chinese textual image compression. - Kui Hu; Zhi Tang 001; Liangcai Gao; Yadong Mu (Int. J. Document Anal. Recognit., 2010)

Information-Theoretic Analysis of Input Strokes in Visual Object Cutout. - Yadong Mu; Bingfeng Zhou; Shuicheng Yan (IEEE Trans. Multim., 2010)

Accelerated low-rank visual recovery by random projection. - Yadong Mu; Jian Dong; Xiaotong Yuan; Shuicheng Yan (CVPR, 2011)

Towards Optimal Discriminating Order for Multiclass Classification. - Dong Liu 001; Shuicheng Yan; Yadong Mu; Xian-Sheng Hua 001; Shih-Fu Chang; Hong-Jiang Zhang (ICDM, 2011)

Learning reconfigurable hashing for diverse semantics. - Yadong Mu; Xiangyu Chen; Tat-Seng Chua; Shuicheng Yan (ICMR, 2011)

IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. - Liangliang Cao; Shih-Fu Chang; Noel Codella; Courtenay V. Cotton; Dan Ellis; Leiguang Gong; Matthew L. Hill; Gang Hua 001; John R. Kender; Michele Merler; Yadong Mu; Apostol Natsev; et al. (TRECVID, 2011)

Non-uniform multiple kernel learning with cluster-based gating functions. - Yadong Mu; Bingfeng Zhou (Neurocomputing, 2011)

Efficient region-aware large graph construction towards scalable multi-label propagation. - Bing-Kun Bao; Bingbing Ni; Yadong Mu; Shuicheng Yan (Pattern Recognit., 2011)

Scene Aligned Pooling for Complex Video Recognition. - Liangliang Cao; Yadong Mu; Apostol Natsev; Shih-Fu Chang; Gang Hua 001; John R. Smith (ECCV (2), 2012)

Accelerated Large Scale Optimization by Concomitant Hashing. - Yadong Mu; John Wright 001; Shih-Fu Chang (ECCV (1), 2012)

Compact Hyperplane Hashing with Bilinear Functions. - Wei Liu 005; Jun Wang 006; Yadong Mu; Sanjiv Kumar; Shih-Fu Chang (ICML, 2012)

Compact hashing for mixed image-keyword query over multi-label images. - Xianglong Liu 001; Yadong Mu; Bo Lang; Shih-Fu Chang (ICMR, 2012)

Submodular video hashing: a unified framework towards video pooling and indexing. - Liangliang Cao; Zhenguo Li; Yadong Mu; Shih-Fu Chang (ACM Multimedia, 2012)

IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. - Liangliang Cao; Shih-Fu Chang; Noel Codella; Courtenay V. Cotton; Dan Ellis; Leiguang Gong; Matthew L. Hill; Gang Hua 001; John R. Kender; Michele Merler; Yadong Mu; John R. Smith; et al. (TRECVID, 2012)

Multimedia semantics-aware query-adaptive hashing with bits reconfigurability. - Yadong Mu; Xiangyu Chen; Xianglong Liu 001; Tat-Seng Chua; Shuicheng Yan (Int. J. Multim. Inf. Retr., 2012)

Distributed Low-Rank Subspace Segmentation. - Ameet Talwalkar; Lester W. Mackey; Yadong Mu; Shih-Fu Chang; Michael I. Jordan (ICCV, 2013)

IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. - Lisa M. Brown; Liangliang Cao; Chih-Fu Chang; Yu Cheng 001; Alok N. Choudhary; Noel Codella; Courtenay V. Cotton; Dan Ellis; Quanfu Fan; Rogério Schmidt Feris; Leiguang Gong; Matthew L. Hill; et al. (TRECVID, 2013)

Divide-and-Conquer Subspace Segmentation - Ameet Talwalkar; Lester W. Mackey; Yadong Mu; Shih-Fu Chang; Michael I. Jordan (CoRR, 2013)

Computational facial attractiveness prediction by aesthetics-aware features. - Yadong Mu (Neurocomputing, 2013)

Large-scale multilabel propagation based on efficient sparse graph construction. - Xiangyu Chen; Yadong Mu; Hairong Liu; Shuicheng Yan; Yong Rui; Tat-Seng Chua (ACM Trans. Multim. Comput. Commun. Appl., 2013)

Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification. - Yadong Mu; Gang Hua 001; Wei Fan 001; Shih-Fu Chang (CVPR, 2014)

Text vectorization based on character recognition and character stroke modeling. - Zhigang Fan 001; Bingfeng Zhou; Francis Tse; Yadong Mu; Tao He (IMAWM, 2014)

Supervised deep learning with auxiliary networks. - Junbo Zhang; Guangjian Tian; Yadong Mu; Wei Fan 001 (KDD, 2014)

Guest Editorial: Special issue on large scale multimedia semantic indexing. - Yadong Mu; Yi Yang 001; Liangliang Cao; Shuicheng Yan; Qi Tian 001 (Comput. Vis. Image Underst., 2014)

Video De-Fencing. - Yadong Mu; Wei Liu 005; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2014)

Mixed image-keyword query adaptive hashing over multilabel images. - Xianglong Liu 001; Yadong Mu; Bo Lang; Shih-Fu Chang (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Piecewise linear approximation of streaming time series data with max-error guarantees. - Ge Luo 001; Ke Yi 001; Siu-Wing Cheng; Zhenguo Li; Wei Fan 001; Cheng He; Yadong Mu (ICDE, 2015)

Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization. - Yadong Mu; Wei Liu 005; Wei Fan 001 (CoRR, 2015)

Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. - Cheng Deng; Xianglong Liu 001; Yadong Mu; Jie Li 001 (Signal Process., 2015)

Large-Scale Unsupervised Hashing with Shared Structure Learning. - Xianglong Liu 001; Yadong Mu; Danchen Zhang; Bo Lang; Xuelong Li 001 (IEEE Trans. Cybern., 2015)

Fixed-Rank Supervised Metric Learning on Riemannian Manifold. - Yadong Mu (AAAI, 2016)

A Stochastic Image Grammar for Fine-Grained 3D Scene Reconstruction. - Xiaobai Liu; Yadong Mu; Liang Lin (IJCAI, 2016)

Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval. - Yadong Mu; Wei Liu 005; Cheng Deng; Zongting Lv; Xinbo Gao 001 (IJCAI, 2016)

Learning Binary Codes and Binary Weights for Efficient Classification. - Fumin Shen; Yadong Mu; Wei Liu 005; Yang Yang 002; Heng Tao Shen (CoRR, 2016)

Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. - Xianglong Liu 001; Cheng Deng; Yadong Mu; Zhujin Li (AAAI, 2017)

Deep Hashing: A Joint Approach for Image Signature Learning. - Yadong Mu; Zhu Liu 001 (AAAI, 2017)

Learning End-to-End Autonomous Steering Model from Spatial and Temporal Visual Cues. - Lu Chi; Yadong Mu (VSCC@MM, 2017)

VSCC'2017: Visual Analysis for Smart and Connected Communities. - Xiaobai Liu; Yadong Mu; Yu-Gang Jiang 001; Jiebo Luo 001 (ACM Multimedia, 2017)

Temporal Binary Coding for Large-Scale Video Search. - Ke Xia; Yuqing Ma; Xianglong Liu 001; Yadong Mu; Li Liu 004 (ACM Multimedia, 2017)

Classification by Retrieval: Binarizing Data and Classifiers. - Fumin Shen; Yadong Mu; Yang Yang 002; Wei Liu 005; Li Liu 004; Jingkuan Song; Heng Tao Shen (SIGIR, 2017)

End-to-end Active Object Tracking via Reinforcement Learning. - Wenhan Luo; Peng Sun 011; Yadong Mu; Wei Liu 005 (CoRR, 2017)

Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues. - Lu Chi; Yadong Mu (CoRR, 2017)

Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization. - Yadong Mu; Wei Liu 005; Xiaobai Liu; Wei Fan 001 (IEEE Trans. Knowl. Data Eng., 2017)

Convolutional Video Steganography with Temporal Residual Modeling. - Xinyu Weng; Yongzhi Li; Lu Chi; Yadong Mu (CoRR, 2018)

A Stochastic Attribute Grammar for Robust Cross-View Human Tracking. - Xiaobai Liu; Yuanlu Xu; Lei Zhu 002; Yadong Mu (IEEE Trans. Circuits Syst. Video Technol., 2018)

High-Precision Camera Localization in Scenes with Repetitive Patterns. - Xiaobai Liu; Qian Xu; Yadong Mu; Jiadi Yang; Liang Lin; Shuicheng Yan (ACM Trans. Intell. Syst. Technol., 2018)

Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation. - Tao Hu; Pengwan Yang; Chiliang Zhang; Gang Yu 002; Yadong Mu; Cees G. M. Snoek (AAAI, 2019)

Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization. - Chenchen Liu; Xinyu Weng; Yadong Mu (CVPR, 2019)

Two-Stream Video Classification with Cross-Modality Attention. - Lu Chi; Guiyu Tian; Yadong Mu; Qi Tian 001 (ICCV Workshops, 2019)

High-Capacity Convolutional Video Steganography with Temporal Residual Modeling. - Xinyu Weng; Yongzhi Li; Lu Chi; Yadong Mu (ICMR, 2019)

Fast Non-Local Neural Networks with Spectral Residual Learning. - Lu Chi; Guiyu Tian; Yadong Mu; Lingxi Xie; Qi Tian 001 (ACM Multimedia, 2019)

High-Resolution Representations for Labeling Pixels and Regions. - Ke Sun 009; Yang Zhao 019; Borui Jiang; Tianheng Cheng; Bin Xiao 004; Dong Liu 002; Yadong Mu; Xinggang Wang; Wenyu Liu 001; Jingdong Wang 001 (CoRR, 2019)

Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos. - Guoqiang Gong; Liangfeng Zheng; Kun Bai; Yadong Mu (CoRR, 2019)

Learning single-shot vehicle orientation estimation from large-scale street panoramas. - Xinzhe Zhou; Yigeng Fang; Yadong Mu (Neurocomputing, 2019)

Revisiting Jump-Diffusion Process for Visual Tracking: A Reinforcement Learning Approach. - Xiaobai Liu; Qian Xu; Thuan Chau; Yadong Mu; Lei Zhu 002; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2019)

Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection. - Ruihai Wu; Kehan Xu; Chenchen Liu; Nan Zhuang; Yadong Mu (AAAI, 2020)

Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. - Lu Chi; Zehuan Yuan; Yadong Mu; Changhu Wang (CVPR, 2020)

Learning Temporal Co-Attention Models for Unsupervised Video Action Localization. - Guoqiang Gong; Xinghan Wang; Yadong Mu; Qi Tian 001 (CVPR, 2020)

Visual-Semantic Matching by Exploring High-Order Attention and Distraction. - Yongzhi Li; Duo Zhang; Yadong Mu (CVPR, 2020)

Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context. - Chenchen Liu; Yang Jin; Kehan Xu; Guoqiang Gong; Yadong Mu (CVPR, 2020)

Weakly-Supervised Action Localization by Generative Attention Modeling. - Baifeng Shi; Qi Dai 001; Yadong Mu; Jingdong Wang 001 (CVPR, 2020)

Scale Matters: Temporal Scale Aggregation Network For Precise Action Localization In Untrimmed Videos. - Guoqiang Gong; Liangfeng Zheng; Yadong Mu (ICME, 2020)

Spectrally-Enforced Global Receptive Field For Contextual Medical Image Segmentation And Classification. - Yongzhi Li; Lu Chi; Guiyu Tian; Yadong Mu; Shen Ge; Zhi Qiao; Xian Wu 001; Wei Fan 001 (ICME, 2020)

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. - Baifeng Shi; Dinghuai Zhang; Qi Dai 001; Zhanxing Zhu; Yadong Mu; Jingdong Wang 001 (ICML, 2020)

Google Helps YouTube: Learning Few-Shot Video Classification from Historic Tasks and Cross-Domain Sample Transfer. - Xinzhe Zhou; Yadong Mu (ICMR, 2020)

Cap2Seg: Inferring Semantic and Spatial Context from Captions for Zero-Shot Image Segmentation. - Guiyu Tian; Shuai Wang; Jie Feng; Li Zhou; Yadong Mu (ACM Multimedia, 2020)

Fast Fourier Convolution. - Lu Chi; Borui Jiang; Yadong Mu (NeurIPS, 2020)

Dense Events Grounding in Video. - Peijun Bao; Qian Zheng; Yadong Mu (AAAI, 2021)

DRENet: Giving Full Scope to Detection and Regression-Based Estimation for Video Crowd Counting. - Changsheng Liu; Yuan Huang; Yadong Mu; Xiaoming Yu (ICANN (2), 2021)

Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference. - Borui Jiang; Yadong Mu (ICCVW, 2021)

PointerNet: Spatiotemporal Modeling for Crowd Counting in Videos. - Changsheng Liu; Yuan Huang; Yadong Mu; Xiaoming Yu (ICDLT, 2021)

Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes. - Yongzhi Li; Yadong Mu; Nan Zhuang; Xianglong Liu 001 (ICME, 2021)

Learning Factorized Cross-View Fusion for Multi-View Crowd Counting. - Liangfeng Zheng; Yongzhi Li; Yadong Mu (ICME, 2021)

Self-Supervised Video Action Localization with Adversarial Temporal Transforms. - Guoqiang Gong; Liangfeng Zheng; Wenhao Jiang; Yadong Mu (IJCAI, 2021)

Learning 3-D Human Pose Estimation from Catadioptric Videos. - Chenchen Liu; Yongzhi Li; Kangqi Ma; Duo Zhang; Peijun Bao; Yadong Mu (IJCAI, 2021)

Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection. - Xinzhe Zhou; Wenhao Jiang; Sheng Qi; Yadong Mu (IJCAI, 2021)

Question-Guided Semantic Dual-Graph Visual Reasoning with Novel Answers. - Xinzhe Zhou; Yadong Mu (ICMR, 2021)

Joint Hand-Object Pose Estimation with Differentiably-Learned Physical Contact Point Analysis. - Nan Zhuang; Yadong Mu (ICMR, 2021)

Searching Motion Graphs for Human Motion Synthesis. - Chenchen Liu; Yadong Mu (ACM Multimedia, 2021)

Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds. - Guiyu Tian; Wenhao Jiang; Wei Liu 005; Yadong Mu (CoRR, 2021)

Rethinking the Spatial Route Prior in Vision-and-Language Navigation. - Xinzhe Zhou; Wei Liu 005; Yadong Mu (CoRR, 2021)

Deep High-Resolution Representation Learning for Visual Recognition. - Jingdong Wang 001; Ke Sun 009; Tianheng Cheng; Borui Jiang; Chaorui Deng; Yang Zhao 019; Dong Liu 002; Yadong Mu; Mingkui Tan; Xinggang Wang; Wenyu Liu 001; Bin Xiao 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer. - Hao Jiang; Yadong Mu (CVPR, 2022)

Complex Video Action Reasoning via Learnable Markov Logic Network. - Yang Jin; Linchao Zhu; Yadong Mu (CVPR, 2022)

Learning Sample Importance for Cross-Scenario Video Temporal Grounding. - Peijun Bao; Yadong Mu (ICMR, 2022)

Video2Subtitle: Matching Weakly-Synchronized Sequences via Dynamic Temporal Alignment. - Ben Xue; Chenchen Liu; Yadong Mu (ICMR, 2022)

Patch-based Knowledge Distillation for Lifelong Person Re-Identification. - Zhicheng Sun 001; Yadong Mu (ACM Multimedia, 2022)

Conditional Diffusion Process for Inverse Halftoning. - Hao Jiang; Yadong Mu (NeurIPS, 2022)

Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. - Yang Jin; Yongzhi Li; Zehuan Yuan; Yadong Mu (NeurIPS, 2022)

Zero-Shot Video Event Detection With High-Order Semantic Concept Discovery and Matching. - Yang Jin; Wenhao Jiang; Yi Yang 001; Yadong Mu (IEEE Trans. Multim., 2022)

Tree-Structured Trajectory Encoding for Vision-and-Language Navigation. - Xinzhe Zhou; Yadong Mu (AAAI, 2023)

Regularizing Second-Order Influences for Continual Learning. - Zhicheng Sun 001; Yadong Mu; Gang Hua 001 (CVPR, 2023)

Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce. - Yang Jin; Yongzhi Li; Zehuan Yuan; Yadong Mu (CVPR, 2023)

Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition. - Xinghan Wang; Xin Xu; Yadong Mu (CVPR, 2023)

Video Action Segmentation via Contextually Refined Temporal Keypoints. - Borui Jiang; Yang Jin; Zhentao Tan; Yadong Mu (ICCV, 2023)

Trapdoor Normalization with Irreversible Ownership Verification. - Hanwen Liu; Zhenyu Weng; Yuesheng Zhu; Yadong Mu (ICML, 2023)

Diffused Fourier Network for Video Action Segmentation. - Borui Jiang; Yadong Mu (ACM Multimedia, 2023)

Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion. - Peiran Xu 001; Yadong Mu (ACM Multimedia, 2023)

Rewiring Neurons in Non-Stationary Environments. - Zhicheng Sun 001; Yadong Mu (NeurIPS, 2023)

Image Completion with Heterogeneously Filtered Spectral Hints. - Xingqian Xu; Shant Navasardyan; Vahram Tadevosyan; Andranik Sargsyan; Yadong Mu; Humphrey Shi (WACV, 2023)

Curriculum Graph Poisoning. - Hanwen Liu; Peilin Zhao; Tingyang Xu; Yatao Bian; Junzhou Huang; Yuesheng Zhu; Yadong Mu (WWW, 2023)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. - Yang Jin; Kun Xu 005; Liwei Chen; Chao Liao; Jianchao Tan; Quzhe Huang; Bin Chen; Chenyi Lei; An Liu; Chengru Song; Xiaoqiang Lei; Di Zhang; et al. (CoRR, 2023)

Language-Guided Multi-Granularity Context Aggregation for Temporal Sentence Grounding. - Guoqiang Gong; Linchao Zhu; Yadong Mu (IEEE Trans. Multim., 2023)

Transferable Video Moment Localization by Moment-Guided Query Prompting. - Hao Jiang; Yang Yizhang; Yadong Mu (AAAI, 2024)

Exploring Orthogonality in Open World Object Detection. - Zhicheng Sun 001; Jinghan Li; Yadong Mu (CVPR, 2024)

Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning. - Hao Jiang; Bingfeng Zhou; Yadong Mu (CVPR, 2024)

Countering Personalized Text-to-Image Generation with Influence Watermarks. - Hanwen Liu; Zhicheng Sun 001; Yadong Mu (CVPR, 2024)

Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment. - Yang Jin; Yadong Mu (ECCV (48), 2024)

Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection. - Kangqi Ma; Hao Dong; Yadong Mu (ECCV (74), 2024)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. - Yang Jin; Kun Xu 005; Kun Xu 005; Liwei Chen; Chao Liao; Jianchao Tan; Quzhe Huang; Bin Chen; Chengru Song; Dai Meng; Di Zhang; Wenwu Ou; et al. (ICLR, 2024)

InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior. - Chenguo Lin; Yadong Mu (ICLR, 2024)

Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. - Yang Jin; Zhicheng Sun 001; Kun Xu 005; Kun Xu 005; Liwei Chen; Hao Jiang; Quzhe Huang; Chengru Song; Yuliang Liu; Di Zhang; Yang Song 008; Kun Gai; et al. (ICML, 2024)

Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem. - Zhentao Tan; Yadong Mu (ICML, 2024)

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance. - Zhicheng Sun 001; Zhenhao Yang; Yang Jin; Haozhe Chi; Kun Xu 005; Liwei Chen; Hao Jiang; Yang Song 008; Kun Gai; Yadong Mu (NeurIPS, 2024)

HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors. - Panwang Pan; Zhuo Su 006; Chenguo Lin; Zhen Fan 015; Yongjie Zhang; Zeming Li; Tingting Shen; Yadong Mu; Yebin Liu (NeurIPS, 2024)

Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion. - Xinghan Wang; Zixi Kang; Yadong Mu (CoRR, 2024)

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance. - Zhicheng Sun 001; Zhenhao Yang; Yang Jin; Haozhe Chi; Kun Xu 005; Kun Xu 005; Liwei Chen; Hao Jiang; Di Zhang; Yang Song 008; Kun Gai; Yadong Mu (CoRR, 2024)

InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior. - Chenguo Lin; Yuchen Lin; Panwang Pan; Xuanyang Zhang; Yadong Mu (CoRR, 2024)

Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling. - Jinghan Li; Zhicheng Sun 001; Fei Li; Cao Sheng; Jiazhong Yu; Yadong Mu (CoRR, 2024)

Hierarchical reinforcement learning for chip-macro placement in integrated circuit. - Zhentao Tan; Yadong Mu (Pattern Recognit. Lett., 2024)

Localized Linear Temporal Dynamics for Self-Supervised Skeleton Action Recognition. - Xinghan Wang; Yadong Mu (IEEE Trans. Multim., 2024)

Multi-Granularity Interaction for Multi-Person 3D Motion Prediction. - Chenchen Liu; Yadong Mu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering. - Hao Jiang; Yang Jin; Zhicheng Sun 001; Kun Xu 005; Kun Xu 005; Liwei Chen; Yang Song 008; Kun Gai; Yadong Mu (AAAI, 2025)

Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images. - Hongyu Yan; Yadong Mu (AAAI, 2025)

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors. - Peiran Xu 001; Yadong Mu (ICLR, 2025)

Pyramidal Flow Matching for Efficient Video Generative Modeling. - Yang Jin; Zhicheng Sun 001; Ningyuan Li 002; Kun Xu 005; Hao Jiang; Nan Zhuang; Quzhe Huang; Yang Song 008; Yadong Mu; Zhouchen Lin (ICLR, 2025)

OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation. - Yuchen Lin; Chenguo Lin; Jianjin Xu; Yadong Mu (ICLR, 2025)

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation. - Chenguo Lin; Panwang Pan; Bangbang Yang; Zeming Li; Yadong Mu (ICLR, 2025)

BioMoDiffuse: Physics-Guided Biomechanical Diffusion for Controllable and Authentic Human Motion Synthesis. - Zixi Kang; Xinghan Wang; Yadong Mu (CoRR, 2025)

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers. - Yuchen Lin; Chenguo Lin; Panwang Pan; Honglei Yan; Yiqiang Feng; Yadong Mu; Katerina Fragkiadaki (CoRR, 2025)

Generating Attribute-Aware Human Motions from Textual Prompt. - Xinghan Wang; Kun Xu 005; Fei Li; Cao Sheng; Jiazhong Yu; Yadong Mu (CoRR, 2025)

MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second. - Chenguo Lin; Yuchen Lin; Panwang Pan; Yifan Yu; Honglei Yan; Katerina Fragkiadaki; Yadong Mu (CoRR, 2025)