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2020 – today
- 2024
[j11]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: 3520-3535 (2024)- [c39]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang:
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. AAAI 2024: 1463-1471 - [c38]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: 2480-2488 - [c37]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: 5517-5525 - [c36]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: 701-705 - [c35]Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang:
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CVPR 2024: 26669-26678 - [c34]Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang:
Timestep-Aware Correction for Quantized Diffusion Models. ECCV (66) 2024: 215-232 - [c33]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 - [c32]Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang:
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods. ICML 2024 - [c31]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. ICML 2024 - [c30]Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang:
Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? ICML 2024 - [c29]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. ACM Multimedia 2024: 4640-4649 - [i24]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 abs/2401.11649 (2024) - [i23]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 abs/2402.15173 (2024) - [i22]Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang:
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CoRR abs/2403.05105 (2024) - [i21]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 abs/2403.19235 (2024) - [i20]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 abs/2404.00878 (2024) - [i19]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 abs/2405.17761 (2024) - [i18]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 abs/2406.12718 (2024) - [i17]Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang:
Timestep-Aware Correction for Quantized Diffusion Models. CoRR abs/2407.03917 (2024) - [i16]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 abs/2407.15346 (2024) - [i15]Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang:
Disentangled Noisy Correspondence Learning. CoRR abs/2408.05503 (2024) - [i14]Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao:
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. CoRR abs/2408.09613 (2024) - [i13]Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang:
SpotActor: Training-Free Layout-Controlled Consistent Image Generation. CoRR abs/2409.04801 (2024) - [i12]Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang:
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery. CoRR abs/2409.19659 (2024) - [i11]Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao:
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. CoRR abs/2410.12600 (2024) - [i10]Haonan Lin, Mengmeng Wang, Jiahao Wang, Wenbin An, Yan Chen, Yong Liu, Feng Tian, Guang Dai, Jingdong Wang, Qianying Wang:
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. CoRR abs/2410.18756 (2024) - 2023
- [c28]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: 1740-1750 - [c27]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 - [i9]Jiazheng Xing, Mengmeng Wang, Xiaojun Hou, Guang Dai, Jingdong Wang, Yong Liu:
Multimodal Adaptation of CLIP for Few-Shot Action Recognition. CoRR abs/2308.01532 (2023) - [i8]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 abs/2308.09346 (2023) - [i7]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 abs/2308.10156 (2023) - [i6]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 abs/2308.10547 (2023) - [i5]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 abs/2309.11125 (2023) - [i4]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 abs/2310.06218 (2023) - [i3]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng:
Disentangled Representation Learning with Transmitted Information Bottleneck. CoRR abs/2311.01686 (2023) - [i2]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 abs/2312.02226 (2023) - [i1]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang:
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. CoRR abs/2312.16478 (2023) - 2022
- [j10]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): 17037-17049 (2022) - [c26]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: 544-553
2010 – 2019
- 2017
- [c25]Guang Dai, Jianbin Huang, Stephen Manko Wambura, Heli Sun:
A Balanced Assignment Mechanism for Online Taxi Recommendation. MDM 2017: 102-111 - 2014
- [j9]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: 55-78 (2014) - 2013
- [j8]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): 2531-2537 (2013) - 2012
- [j7]Zhihua Zhang, Dehua Liu, Guang Dai, Michael I. Jordan:
Coherence functions with applications in large-margin classification methods. J. Mach. Learn. Res. 13: 2705-2734 (2012) - 2011
- [j6]Zhihua Zhang, Guang Dai, Michael I. Jordan:
Bayesian Generalized Kernel Mixed Models. J. Mach. Learn. Res. 12: 111-139 (2011) - [c24]Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang:
A non-convex relaxation approach to sparse dictionary learning. CVPR 2011: 1809-1816 - 2010
- [j5]Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan:
Regularized Discriminant Analysis, Ridge Regression and Beyond. J. Mach. Learn. Res. 11: 2199-2228 (2010) - [j4]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): 2466-2475 (2010) - [c23]Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang:
Sparse Unsupervised Dimensionality Reduction Algorithms. ECML/PKDD (1) 2010: 361-376 - [c22]Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan:
Bayesian Generalized Kernel Models. AISTATS 2010: 972-979 - [c21]Zhihua Zhang, Guang Dai, Michael I. Jordan:
Matrix-Variate Dirichlet Process Mixture Models. AISTATS 2010: 980-987
2000 – 2009
- 2009
- [c20]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: 245-249 - [c19]Zhihua Zhang, Guang Dai:
Optimal Scoring for Unsupervised Learning. NIPS 2009: 2241-2249 - [c18]Zhihua Zhang, Guang Dai, Michael I. Jordan:
A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis. ECML/PKDD (2) 2009: 632-647 - 2008
- [j3]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): 2839-2861 (2008) - 2007
- [j2]Guang Dai, Dit-Yan Yeung, Yuntao Qian:
Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognit. 40(1): 229-243 (2007) - [j1]Dit-Yan Yeung, Hong Chang, Guang Dai:
Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognit. 40(7): 2021-2028 (2007) - [c17]Guang Dai, Dit-Yan Yeung:
Kernel selection forl semi-supervised kernel machines. ICML 2007: 185-192 - [c16]Guang Dai, Dit-Yan Yeung:
Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. IJCAI 2007: 744-749 - [c15]Dit-Yan Yeung, Hong Chang, Guang Dai:
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI 2007: 1138-1143 - 2006
- [c14]Guang Dai, Dit-Yan Yeung:
Tensor Embedding Methods. AAAI 2006: 330-335 - [c13]Guang Dai, Dit-Yan Yeung, Hong Chang:
Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) 2006: 308-320 - [c12]Jian Xia, Dit-Yan Yeung, Guang Dai:
Local Discriminant Embedding with Tensor Representation. ICIP 2006: 929-932 - 2005
- [c11]Guang Dai, Dit-Yan Yeung:
Nonlinear dimensionality reduction for classification using kernel weighted subspace method. ICIP (2) 2005: 838-841 - 2004
- [c10]Guang Dai, Yuntao Qian:
Face Recognition Using Novel LDA-Based Algorithms. ECAI 2004: 455-459 - [c9]Guang Dai, Yuntao Qian, Sen Jia:
Modified kernel-based nonlinear feature extraction [face recognition example]. ICASSP (5) 2004: 721-724 - [c8]Guang Dai, Yasutoshi Otani:
A robust feature extraction framework for face recognition. ICIP 2004: 1393-1396 - [c7]Guang Dai, Yuntao Qian:
Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition. ICIP 2004: 2697-2700 - [c6]Guang Dai, Yuntao Qian:
A Gabor direct fractional-step LDA algorithm for face recognition. ICME 2004: 61-64 - [c5]Guang Dai, Yuntao Qian, Sen Jia:
A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. ICPR (2) 2004: 431-434 - [c4]Sen Jia, Yuntao Qian, Guang Dai:
An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. ICPR (3) 2004: 634-637 - [c3]Guang Dai, Yuntao Qian:
Face recognition with the robust feature extracted by the generalized Foley-Sammon transform. ISCAS (2) 2004: 109-112 - [c2]Guang Dai, Yuntao Qian:
By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition. SMC (3) 2004: 2175-2179 - 2003
- [c1]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: 578-589
Coauthor Index
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last updated on 2024-12-11 21:39 CET by the dblp team
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