Guang Dai

According to our database, Guang Dai authored at least 67 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning.

Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Caixia Yan, Guang Dai, Xiaojun Chang, Qinghua Zheng

IEEE Trans. Image Process., 2024

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing.

Haonan Lin, Mengmeng Wang, Jiahao Wang, Wenbin An, Yan Chen, Yong Liu, Feng Tian, Guang Dai, Jingdong Wang, Qianying Wang

CoRR, 2024

On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs.

Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao

CoRR, 2024

Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery.

Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang

CoRR, 2024

SpotActor: Training-Free Layout-Controlled Consistent Image Generation.

Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang

CoRR, 2024

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis.

Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao

CoRR, 2024

Disentangled Noisy Correspondence Learning.

Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang

CoRR, 2024

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models.

Wenbin An, Feng Tian, Jiahao Nie, Wenkai Shi, Haonan Lin, Yan Chen, Qianying Wang, Yaqiang Wu, Guang Dai, Ping Chen

CoRR, 2024

AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention.

Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Guang Dai, Ping Chen, Shijian Lu

CoRR, 2024

TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On.

Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang

CoRR, 2024

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation.

Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong Liu, Jingdong Wang

CoRR, 2024

Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer.

Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang

CoRR, 2024

M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition.

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu

CoRR, 2024

Exploring Perceptions of Children's Learning Stress for Stress Management.

Pinhao Wang, Yujie Zhou, Guang Dai, Zhengke Li, Xin Zhao, Jiahui Lu, Cheng Yao, Fangtian Ying

Proceedings of the Intelligent Computing, 2024

Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition.

Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?

Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient.

Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods.

Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.

Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Timestep-Aware Correction for Quantized Diffusion Models.

Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval.

Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Stress Diffuser: A Biofeedback Agent for Stress Management in Children During Homework with Parent Involvement.

Jing Li, Pinhao Wang, Emilia I. Barakova, Jun Hu, Guang Dai

Proceedings of the 23rd Annual ACM Interaction Design and Children Conference, 2024

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition.

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation.

Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation.

Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Disentangled Representation Learning with Transmitted Information Bottleneck.

Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng

CoRR, 2023

SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration.

Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong Liu

CoRR, 2023

PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement.

Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng

CoRR, 2023

Multimodal Adaptation of CLIP for Few-Shot Action Recognition.

Jiazheng Xing, Mengmeng Wang, Xiaojun Hou, Guang Dai, Jingdong Wang, Yong Liu

CoRR, 2023

SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration.

Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching.

Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Synchronization of complex-valued stochastic coupled systems with hybrid impulses via discrete-time state observations control.

Guang Dai, Hanqing Liu, Zhen Guan, Yan Liu

Neural Comput. Appl., 2022

Pleasure and Improvement - A Study on Digital Artistic Expression of Health Data Generation for Professional Women.

Shuqi Wang, Ran Wan, Guang Dai, Xinpeng Wan, Jianxin Jin, Yixin Yu, Zepeng Yu, Yashi Shuai

Proceedings of the Design Studies and Intelligence Engineering, 2022

2017

A Balanced Assignment Mechanism for Online Taxi Recommendation.

Guang Dai, Jianbin Huang, Stephen Manko Wambura, Heli Sun

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

2014

Multicategory large margin classification methods: Hinge losses vs. coherence functions.

Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung

Artif. Intell., 2014

2013

An iterative SVM approach to feature selection and classification in high-dimensional datasets.

Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang

Pattern Recognit., 2013

2012

Coherence functions with applications in large-margin classification methods.

Zhihua Zhang, Dehua Liu, Guang Dai, Michael I. Jordan

J. Mach. Learn. Res., 2012

2011

Bayesian Generalized Kernel Mixed Models.

Zhihua Zhang, Guang Dai, Michael I. Jordan

J. Mach. Learn. Res., 2011

A non-convex relaxation approach to sparse dictionary learning.

Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

A regularization framework for multiclass classification: A deterministic annealing approach.

Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky

Pattern Recognit., 2010

Regularized Discriminant Analysis, Ridge Regression and Beyond.

Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan

J. Mach. Learn. Res., 2010

Bayesian Generalized Kernel Models.

Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Matrix-Variate Dirichlet Process Mixture Models.

Zhihua Zhang, Guang Dai, Michael I. Jordan

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Sparse Unsupervised Dimensionality Reduction Algorithms.

Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis.

Zhihua Zhang, Guang Dai, Michael I. Jordan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Optimal Scoring for Unsupervised Learning.

Zhihua Zhang, Guang Dai

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Research on Magnetic Flux Leakage Signals Quantity Technology of Tank Floor Corrosion Defects Based on Artificial Neural Network.

Zhijun Yang, Guang Dai, Wei Li, Yanbiao Jiang

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability.

Dit-Yan Yeung, Hong Chang, Guang Dai

Neural Comput., 2008

2007

Learning the kernel matrix by maximizing a KFD-based class separability criterion.

Dit-Yan Yeung, Hong Chang, Guang Dai

Pattern Recognit., 2007

Face recognition using a kernel fractional-step discriminant analysis algorithm.

Guang Dai, Dit-Yan Yeung, Yuntao Qian

Pattern Recognit., 2007

A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning.

Dit-Yan Yeung, Hong Chang, Guang Dai

Proceedings of the IJCAI 2007, 2007

Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data.

Guang Dai, Dit-Yan Yeung

Proceedings of the IJCAI 2007, 2007

Kernel selection forl semi-supervised kernel machines.

Guang Dai, Dit-Yan Yeung

Proceedings of the Machine Learning, 2007

2006

Local Discriminant Embedding with Tensor Representation.

Jian Xia, Dit-Yan Yeung, Guang Dai

Proceedings of the International Conference on Image Processing, 2006

Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion.

Guang Dai, Dit-Yan Yeung, Hong Chang

Proceedings of the Computer Vision, 2006

Tensor Embedding Methods.

Guang Dai, Dit-Yan Yeung

Proceedings of the Proceedings, 2006

2005

Nonlinear dimensionality reduction for classification using kernel weighted subspace method.

Guang Dai, Dit-Yan Yeung

Proceedings of the 2005 International Conference on Image Processing, 2005

2004

By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition.

Guang Dai, Yuntao Qian

Proceedings of the IEEE International Conference on Systems, 2004

Face recognition with the robust feature extracted by the generalized Foley-Sammon transform.

Guang Dai, Yuntao Qian

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection.

Sen Jia, Yuntao Qian, Guang Dai

Proceedings of the 17th International Conference on Pattern Recognition, 2004

A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition.

Guang Dai, Yuntao Qian, Sen Jia

Proceedings of the 17th International Conference on Pattern Recognition, 2004

A Gabor direct fractional-step LDA algorithm for face recognition.

Guang Dai, Yuntao Qian

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition.

Guang Dai, Yuntao Qian

Proceedings of the 2004 International Conference on Image Processing, 2004

A robust feature extraction framework for face recognition.

Guang Dai, Yasutoshi Otani

Proceedings of the 2004 International Conference on Image Processing, 2004

Modified kernel-based nonlinear feature extraction [face recognition example].

Guang Dai, Yuntao Qian, Sen Jia

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Face Recognition Using Novel LDA-Based Algorithms.

Guang Dai, Yuntao Qian

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

Feature Extraction Method Based on the Generalized Weighted Foley-Sammon Transform in High Dimensional Spaces.

Guang Dai, Huanhuai Zhou, Lin Zhang, Changle Zhou

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003