Guang Dai

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 29

Top Topics

Image Generation

Diffusion Models

Conjugate Gradient

Recognition Of Human Actions

Top Venues

Publications

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition. CoRR (2024)
Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Caixia Yan, Guang Dai, Xiaojun Chang, Qinghua Zheng
Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning. IEEE Trans. Image Process. 33 (2024)
Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. AAAI (2024)
Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CoRR (2024)
Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
Timestep-Aware Correction for Quantized Diffusion Models. CoRR (2024)
Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. CoRR (2024)
Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. CoRR (2024)
Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang
TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On. CoRR (2024)
Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Guang Dai, Ping Chen, Shijian Lu
AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. CoRR (2024)
Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. AAAI (2024)
Jing Li, Pinhao Wang, Emilia I. Barakova, Jun Hu, Guang Dai
Stress Diffuser: A Biofeedback Agent for Stress Management in Children During Homework with Parent Involvement. IDC (2024)
Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong Liu, Jingdong Wang
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation. CoRR (2024)
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. AAAI (2024)
Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR (2024)
Wenbin An, Feng Tian, Jiahao Nie, Wenkai Shi, Haonan Lin, Yan Chen, Qianying Wang, Yaqiang Wu, Guang Dai, Ping Chen
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models. CoRR (2024)
Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang
Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. CoRR (2023)
Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng
Disentangled Representation Learning with Transmitted Information Bottleneck. CoRR (2023)
Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu
SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration. NeurIPS (2023)
Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. CoRR (2023)
Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong Liu
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration. CoRR (2023)
Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. CoRR (2023)
Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. ICCV (2023)
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation. CoRR (2023)
Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. CoRR (2023)
Jiazheng Xing, Mengmeng Wang, Xiaojun Hou, Guang Dai, Jingdong Wang, Yong Liu
Multimodal Adaptation of CLIP for Few-Shot Action Recognition. CoRR (2023)
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement. CoRR (2023)
Shuqi Wang, Ran Wan, Guang Dai, Xinpeng Wan, Jianxin Jin, Yixin Yu, Zepeng Yu, Yashi Shuai
Pleasure and Improvement - A Study on Digital Artistic Expression of Health Data Generation for Professional Women. DSIE (2022)
Guang Dai, Hanqing Liu, Zhen Guan, Yan Liu
Synchronization of complex-valued stochastic coupled systems with hybrid impulses via discrete-time state observations control. Neural Comput. Appl. 34 (19) (2022)
Guang Dai, Jianbin Huang, Stephen Manko Wambura, Heli Sun
A Balanced Assignment Mechanism for Online Taxi Recommendation. MDM (2017)
Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung
Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. 215 (2014)
Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang
An iterative SVM approach to feature selection and classification in high-dimensional datasets. Pattern Recognit. 46 (9) (2013)
Zhihua Zhang, Dehua Liu, Guang Dai, Michael I. Jordan
Coherence functions with applications in large-margin classification methods. J. Mach. Learn. Res. 13 (2012)
Zhihua Zhang, Guang Dai, Michael I. Jordan
Bayesian Generalized Kernel Mixed Models. J. Mach. Learn. Res. 12 (2011)
Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang
A non-convex relaxation approach to sparse dictionary learning. CVPR (2011)
Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
Sparse Unsupervised Dimensionality Reduction Algorithms. ECML/PKDD (1) (2010)
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan
Bayesian Generalized Kernel Models. AISTATS (2010)
Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan
Regularized Discriminant Analysis, Ridge Regression and Beyond. J. Mach. Learn. Res. 11 (2010)
Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky
A regularization framework for multiclass classification: A deterministic annealing approach. Pattern Recognit. 43 (7) (2010)
Zhihua Zhang, Guang Dai, Michael I. Jordan
Matrix-Variate Dirichlet Process Mixture Models. AISTATS (2010)
Zhihua Zhang, Guang Dai
Optimal Scoring for Unsupervised Learning. NIPS (2009)
Zhihua Zhang, Guang Dai, Michael I. Jordan
A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis. ECML/PKDD (2) (2009)
Zhijun Yang, Guang Dai, Wei Li, Yanbiao Jiang
Research on Magnetic Flux Leakage Signals Quantity Technology of Tank Floor Corrosion Defects Based on Artificial Neural Network. ICNC (2) (2009)
Dit-Yan Yeung, Hong Chang, Guang Dai
A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. Neural Comput. 20 (11) (2008)
Dit-Yan Yeung, Hong Chang, Guang Dai
Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognit. 40 (7) (2007)
Guang Dai, Dit-Yan Yeung, Yuntao Qian
Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognit. 40 (1) (2007)
Guang Dai, Dit-Yan Yeung
Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. IJCAI (2007)
Dit-Yan Yeung, Hong Chang, Guang Dai
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI (2007)
Guang Dai, Dit-Yan Yeung
Kernel selection forl semi-supervised kernel machines. ICML (2007)
Guang Dai, Dit-Yan Yeung
Tensor Embedding Methods. AAAI (2006)
Jian Xia, Dit-Yan Yeung, Guang Dai
Local Discriminant Embedding with Tensor Representation. ICIP (2006)
Guang Dai, Dit-Yan Yeung, Hong Chang
Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) (2006)
Guang Dai, Dit-Yan Yeung
Nonlinear dimensionality reduction for classification using kernel weighted subspace method. ICIP (2) (2005)
Guang Dai, Yuntao Qian, Sen Jia
Modified kernel-based nonlinear feature extraction [face recognition example]. ICASSP (5) (2004)
Guang Dai, Yuntao Qian
Face recognition with the robust feature extracted by the generalized Foley-Sammon transform. ISCAS (2) (2004)
Guang Dai, Yuntao Qian
Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition. ICIP (2004)
Guang Dai, Yuntao Qian
By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition. SMC (3) (2004)
Guang Dai, Yuntao Qian
A Gabor direct fractional-step LDA algorithm for face recognition. ICME (2004)
Guang Dai, Yuntao Qian, Sen Jia
A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. ICPR (2) (2004)
Guang Dai, Yasutoshi Otani
A robust feature extraction framework for face recognition. ICIP (2004)
Sen Jia, Yuntao Qian, Guang Dai
An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. ICPR (3) (2004)
Guang Dai, Yuntao Qian
Face Recognition Using Novel LDA-Based Algorithms. ECAI (2004)
Guang Dai, Huanhuai Zhou, Lin Zhang, Changle Zhou
Feature Extraction Method Based on the Generalized Weighted Foley-Sammon Transform in High Dimensional Spaces. IICAI (2003)