Guang Dai - RankMe

126 papers A* 32A 4B 4C 1Misc 3Journal 65Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corrigendum to "MA-FSAR: Multimodal Adaptation of CLIP for few-shot action recognition" [Pattern Recognition 169 (2026) 111902]. Pattern Recognit. Jiazheng Xing, Jian Zhao, Chao Xu, Mengmeng Wang, Guang Dai, Yong Liu, Jingdong Wang, Xuelong Li
2026	J	`jnl`	ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning. CoRR Zhishen Sun, Sizhe Dang, Guang Dai, Haishan Ye
2026	J	`jnl`	From O(mn) to O(r CoRR Sizhe Dang, Jiaqi Shao, Xiaodong Zheng, Guang Dai, Yan Song, Haishan Ye
2026	J	`jnl`	HALO: Hardness-aware bilevel-inspired contrastive graph clustering. Int. J. Approx. Reason. Yuchen Zhu, Kuang Zhou, Haishan Ye, Guang Dai, Ivor W. Tsang
2026	J	`jnl`	MA-FSAR: Multimodal Adaptation of CLIP for few-shot action recognition. Pattern Recognit. Jiazheng Xing, Jian Zhao, Chao Xu, Mengmeng Wang, Guang Dai, Yong Liu, Jingdong Wang, Xuelong Li
2026	J	`jnl`	On the Convergence of Single-Loop Stochastic Bilevel Optimization with Approximate Implicit Differentiation. CoRR Yubo Zhou, Luo Luo, Guang Dai, Haishan Ye
2026	A*	`conf`	Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack. AAAI Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Guang Dai
2026	J	`jnl`	Stability of highly nonlinear impulsive coupled systems with multi-weights and applications to van der Pol-Duffing oscillators. Int. J. Control Guang Dai, Yingshuang Gao, Yan Liu
2026	J	`jnl`	VAE-REPA: Variational Autoencoder Representation Alignment for Efficient Diffusion Training. CoRR Mengmeng Wang, Dengyang Jiang, Liuzhuozheng Li, Yucheng Lin, Guojiang Shen, Xiangjie Kong, Yong Liu, Guang Dai, Jingdong Wang
2026	J	`jnl`	Warm-start or cold-start? A comparison of generalizability in gradient-based hyperparameter tuning. Neural Networks Yubo Zhou, Jun Shu, Chengli Tan, Haishan Ye, Quanziang Wang, Junmin Liu, Deyu Meng, Ivor W. Tsang, Guang Dai
2025	A*	`conf`	Action Detail Matters: Refining Video Recognition with Local Action Queries. CVPR Mengmeng Wang, Zeyi Huang, Xiangjie Kong, Guojiang Shen, Guang Dai, Jingdong Wang, Yong Liu
2025	J	`jnl`	AffordanceSAM: Segment Anything Once More in Affordance Grounding. CoRR Dengyang Jiang, Mengmeng Wang, Teli Ma, Hengzhuang Li, Yong Liu, Guang Dai, Lei Zhang
2025	J	`jnl`	Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection. CoRR Xiangyu Chang, Guang Dai, Hao Di, Haishan Ye
2025	J	`jnl`	Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking. CoRR Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang
2025	J	`jnl`	Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking. IEEE Trans. Signal Process. Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang
2025	J	`jnl`	Deforming Videos to Masks: Flow Matching for Referring Video Segmentation. CoRR Zanyi Wang, Dengyang Jiang, Liuzhuozheng Li, Sizhe Dang, Chengzu Li, Harry Yang, Guang Dai, Mengmeng Wang, Jingdong Wang
2025	Misc	`conf`	Density-aware and Depth-aware Visual Representation for Zero-Shot Object Counting. ICASSP Fang Nan, Feng Tian, Ni Zhang, Nian Liu, Haonan Miao, Guang Dai, Mengmeng Wang
2025	J	`jnl`	Disentangled Noisy Correspondence Learning. IEEE Trans. Image Process. Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang
2025	A*	`conf`	DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making. ICML Ziru Wang, Mengmeng Wang, Jade Dai, Teli Ma, Guo-Jun Qi, Yong Liu, Guang Dai, Jingdong Wang
2025	Misc	`conf`	Exploring Triple Knowledge Cues for Zero-Shot Human-Object Interaction Detection. ICASSP Fang Nan, Ni Zhang, Qidong Liu, Wei Jing, Guang Dai, Yan Chen, Feng Tian
2025	J	`jnl`	FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed. CoRR Sizhe Dang, Yangyang Guo, Yanjun Zhao, Haishan Ye, Xiaodong Zheng, Guang Dai, Ivor W. Tsang
2025	A*	`conf`	How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. EMNLP Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao
2025	—	`conf`	IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection. ACL (1) Zhi Zeng, Jiaying Wu, Minnan Luo, Herun Wan, Xiangzheng Kong, Zihan Ma, Guang Dai, Qinghua Zheng
2025	J	`jnl`	InnerSelf: Designing Self-Deepfaked Voice for Emotional Well-being. CoRR Guang Dai, Pinhao Wang, Cheng Yao, Fangtian Ying
2025	A*	`conf`	Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization. IJCAI Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai
2025	J	`jnl`	Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization. CoRR Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai
2025	A*	`conf`	Low-Biased General Annotated Dataset Generation. CVPR Dengyang Jiang, Haoyu Wang, Lei Zhang, Wei Wei, Guang Dai, Mengmeng Wang, Jingdong Wang, Yanning Zhang
2025	J	`jnl`	MSCR: Exploring the Vulnerability of LLMs' Mathematical Reasoning Abilities Using Multi-Source Candidate Replacement. CoRR Zhishen Sun, Guang Dai, Haishan Ye
2025	A*	`conf`	Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling. ICLR Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang
2025	J	`jnl`	No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves. CoRR Dengyang Jiang, Mengmeng Wang, Liuzhuozheng Li, Lei Zhang, Haoyu Wang, Wei Wei, Guang Dai, Yanning Zhang, Jingdong Wang
2025	J	`jnl`	Numerical Sensitivity and Robustness: Exploring the Flaws of Mathematical Reasoning in Large Language Models. CoRR Zhishen Sun, Guang Dai, Ivor W. Tsang, Haishan Ye
2025	—	`conf`	On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. ACL (1) Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao
2025	J	`jnl`	PSDiff: Diffusion Model for Person Search With Iterative and Collaborative Refinement. IEEE Trans. Circuits Syst. Video Technol. Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang
2025	J	`jnl`	Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack. CoRR Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Ivor W. Tsang, Guang Dai
2025	A*	`conf`	ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs. ICLR Hao Di, Tong He, Haishan Ye, Yinghui Huang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2025	A*	`conf`	Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. ICLR Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang
2025	A*	`conf`	SpotActor: Training-Free Layout-Controlled Consistent Image Generation. AAAI Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang
2025	J	`jnl`	Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization. CoRR Chengli Tan, Yubo Zhou, Haishan Ye, Guang Dai, Junmin Liu, Zengjie Song, Jiangshe Zhang, Zixiang Zhao, Yunda Hao, Yong Xu
2025	A*	`conf`	TriCLIP-3D: A Unified Parameter-Efficient Framework for Tri-Modal 3D Visual Grounding based on CLIP. ACM Multimedia Fan Li, Zanyi Wang, Zeyi Huang, Guang Dai, Jingdong Wang, Mengmeng Wang
2025	J	`jnl`	TriCLIP-3D: A Unified Parameter-Efficient Framework for Tri-Modal 3D Visual Grounding based on CLIP. CoRR Fan Li, Zanyi Wang, Zeyi Huang, Guang Dai, Jingdong Wang, Mengmeng Wang
2025	J	`jnl`	TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On. Int. J. Comput. Vis. Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang
2025	A*	`conf`	Understand, Refine and Summarize: Multi-View Knowledge Progressive Enhancement Learning for Fake News Video Detection. ACM Multimedia Zhi Zeng, Jiaying Wu, Minnan Luo, Xiangzheng Kong, Zihan Ma, Guang Dai, Qinghua Zheng
2025	A*	`conf`	VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling. IJCAI Sizhe Dang, Huan Liu, Mengmeng Wang, Xin Lai, Guang Dai, Jingdong Wang
2025	C	`conf`	VisualNetO&M: A Digital Twin-Based Collaborative Visualization System for Power System Communication Network Operation and Maintenance. VINCI Le Liu, Yong Li, Chuhua Yang, Guang Dai, Kaifeng Bai, Gang Chen, Siming Chen, Peng Wang
2024	A*	`conf`	A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. AAAI Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
2024	J	`jnl`	AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention. CoRR Wenbin An, Feng Tian, Sicong Leng, Jiahao Nie, Haonan Lin, Qianying Wang, Guang Dai, Ping Chen, Shijian Lu
2024	A*	`conf`	Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? ICML Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang
2024	A*	`conf`	Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2024	J	`jnl`	Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning. IEEE Trans. Image Process. Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Caixia Yan, Guang Dai, Xiaojun Chang, Qinghua Zheng
2024	J	`jnl`	Disentangled Noisy Correspondence Learning. CoRR Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang
2024	J	`jnl`	Disentangled Representation Learning With Transmitted Information Bottleneck. IEEE Trans. Circuits Syst. Video Technol. Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang
2024	A*	`conf`	Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods. ICML Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	A*	`conf`	Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. ICML Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	J	`jnl`	Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. CoRR Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	J	`jnl`	DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation. CoRR Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong Liu, Jingdong Wang
2024	—	`conf`	Exploring Perceptions of Children's Learning Stress for Stress Management. SAI (1) Pinhao Wang, Yujie Zhou, Guang Dai, Zhengke Li, Xin Zhao, Jiahui Lu, Cheng Yao, Fangtian Ying
2024	A*	`conf`	Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery. NeurIPS Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Qianying Wang, Guang Dai, Jingdong Wang
2024	J	`jnl`	Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery. CoRR Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang
2024	A*	`conf`	Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. ACM Multimedia Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang
2024	J	`jnl`	How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. CoRR Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao
2024	J	`jnl`	Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models. CoRR Wenbin An, Feng Tian, Jiahao Nie, Wenkai Shi, Haonan Lin, Yan Chen, Qianying Wang, Yaqiang Wu, Guang Dai, Ping Chen
2024	J	`jnl`	Learning Discretized Neural Networks under Ricci Flow. J. Mach. Learn. Res. Jun Chen, Hanwen Chen, Mengmeng Wang, Guang Dai, Ivor W. Tsang, Yong Liu
2024	A*	`conf`	Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CVPR Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang
2024	J	`jnl`	Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CoRR Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang
2024	J	`jnl`	M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition. CoRR Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
2024	A*	`conf`	Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. AAAI Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang
2024	J	`jnl`	On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. CoRR Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao
2024	A*	`conf`	OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance. NeurIPS Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang, Mengmeng Wang, Tieliang Gong, Guang Dai, Hao Sun
2024	A*	`conf`	SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. AAAI Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang
2024	A*	`conf`	Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. NeurIPS Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang
2024	J	`jnl`	Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. CoRR Haonan Lin, Mengmeng Wang, Jiahao Wang, Wenbin An, Yan Chen, Yong Liu, Feng Tian, Guang Dai, Jingdong Wang, Qianying Wang
2024	J	`jnl`	Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. CoRR Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang
2024	J	`jnl`	SpotActor: Training-Free Layout-Controlled Consistent Image Generation. CoRR Jiahao Wang, Caixia Yan, Weizhan Zhang, Haonan Lin, Mengmeng Wang, Guang Dai, Tieliang Gong, Hao Sun, Jingdong Wang
2024	Misc	`conf`	Stress Diffuser: A Biofeedback Agent for Stress Management in Children During Homework with Parent Involvement. IDC Jing Li, Pinhao Wang, Emilia I. Barakova, Jun Hu, Guang Dai
2024	—	`conf`	Timestep-Aware Correction for Quantized Diffusion Models. ECCV (66) Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
2024	J	`jnl`	Timestep-Aware Correction for Quantized Diffusion Models. CoRR Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
2024	J	`jnl`	TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On. CoRR Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang
2024	J	`jnl`	Unbiased General Annotated Dataset Generation. CoRR Dengyang Jiang, Haoyu Wang, Lei Zhang, Wei Wei, Guang Dai, Mengmeng Wang, Jingdong Wang, Yanning Zhang
2024	J	`jnl`	Visual Object Tracking across Diverse Data Modalities: A Review. CoRR Mengmeng Wang, Teli Ma, Shuo Xin, Xiaojun Hou, Jiazheng Xing, Guang Dai, Jingdong Wang, Yong Liu
2023	A*	`conf`	Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. ICCV Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
2023	J	`jnl`	Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. CoRR Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
2023	J	`jnl`	Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. CoRR Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2023	J	`jnl`	Disentangled Representation Learning with Transmitted Information Bottleneck. CoRR Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng
2023	J	`jnl`	Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition. CoRR Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang
2023	J	`jnl`	Multimodal Adaptation of CLIP for Few-Shot Action Recognition. CoRR Jiazheng Xing, Mengmeng Wang, Xiaojun Hou, Guang Dai, Jingdong Wang, Yong Liu
2023	J	`jnl`	Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. CoRR Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang
2023	J	`jnl`	PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement. CoRR Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng
2023	J	`jnl`	SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation. CoRR Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang
2023	J	`jnl`	SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration. CoRR Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong Liu
2023	A*	`conf`	SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration. NeurIPS Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu
2022	—	`conf`	Pleasure and Improvement - A Study on Digital Artistic Expression of Health Data Generation for Professional Women. DSIE Shuqi Wang, Ran Wan, Guang Dai, Xinpeng Wan, Jianxin Jin, Yixin Yu, Zepeng Yu, Yashi Shuai
2022	J	`jnl`	Synchronization of complex-valued stochastic coupled systems with hybrid impulses via discrete-time state observations control. Neural Comput. Appl. Guang Dai, Hanqing Liu, Zhen Guan, Yan Liu
2017	B	`conf`	A Balanced Assignment Mechanism for Online Taxi Recommendation. MDM Guang Dai, Jianbin Huang, Stephen Manko Wambura, Heli Sun
2014	J	`jnl`	Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung
2013	J	`jnl`	An iterative SVM approach to feature selection and classification in high-dimensional datasets. Pattern Recognit. Dehua Liu, Hui Qian, Guang Dai, Zhihua Zhang
2012	J	`jnl`	Coherence functions with applications in large-margin classification methods. J. Mach. Learn. Res. Zhihua Zhang, Dehua Liu, Guang Dai, Michael I. Jordan
2011	A*	`conf`	A non-convex relaxation approach to sparse dictionary learning. CVPR Jianping Shi, Xiang Ren, Guang Dai, Jingdong Wang, Zhihua Zhang
2011	J	`jnl`	Bayesian Generalized Kernel Mixed Models. J. Mach. Learn. Res. Zhihua Zhang, Guang Dai, Michael I. Jordan
2010	J	`jnl`	A regularization framework for multiclass classification: A deterministic annealing approach. Pattern Recognit. Zhihua Zhang, Gang Wang, Dit-Yan Yeung, Guang Dai, Frederick H. Lochovsky
2010	A	`conf`	Bayesian Generalized Kernel Models. AISTATS Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. Jordan
2010	A	`conf`	Matrix-Variate Dirichlet Process Mixture Models. AISTATS Zhihua Zhang, Guang Dai, Michael I. Jordan
2010	J	`jnl`	Regularized Discriminant Analysis, Ridge Regression and Beyond. J. Mach. Learn. Res. Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan
2010	—	`conf`	Sparse Unsupervised Dimensionality Reduction Algorithms. ECML/PKDD (1) Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
2009	—	`conf`	A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis. ECML/PKDD (2) Zhihua Zhang, Guang Dai, Michael I. Jordan
2009	—	`conf`	Optimal Scoring for Unsupervised Learning. NIPS Zhihua Zhang, Guang Dai
2009	—	`conf`	Research on Magnetic Flux Leakage Signals Quantity Technology of Tank Floor Corrosion Defects Based on Artificial Neural Network. ICNC (2) Zhijun Yang, Guang Dai, Wei Li, Yanbiao Jiang
2008	J	`jnl`	A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. Neural Comput. Dit-Yan Yeung, Hong Chang, Guang Dai
2007	A*	`conf`	A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI Dit-Yan Yeung, Hong Chang, Guang Dai
2007	A*	`conf`	Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data. IJCAI Guang Dai, Dit-Yan Yeung
2007	J	`jnl`	Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognit. Guang Dai, Dit-Yan Yeung, Yuntao Qian
2007	A*	`conf`	Kernel selection forl semi-supervised kernel machines. ICML Guang Dai, Dit-Yan Yeung
2007	J	`jnl`	Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognit. Dit-Yan Yeung, Hong Chang, Guang Dai
2006	—	`conf`	Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) Guang Dai, Dit-Yan Yeung, Hong Chang
2006	B	`conf`	Local Discriminant Embedding with Tensor Representation. ICIP Jian Xia, Dit-Yan Yeung, Guang Dai
2006	A*	`conf`	Tensor Embedding Methods. AAAI Guang Dai, Dit-Yan Yeung
2005	—	`conf`	Nonlinear dimensionality reduction for classification using kernel weighted subspace method. ICIP (2) Guang Dai, Dit-Yan Yeung
2004	A	`conf`	A Gabor direct fractional-step LDA algorithm for face recognition. ICME Guang Dai, Yuntao Qian
2004	—	`conf`	A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. ICPR (2) Guang Dai, Yuntao Qian, Sen Jia
2004	B	`conf`	A robust feature extraction framework for face recognition. ICIP Guang Dai, Yasutoshi Otani
2004	—	`conf`	An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. ICPR (3) Sen Jia, Yuntao Qian, Guang Dai
2004	—	`conf`	By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition. SMC (3) Guang Dai, Yuntao Qian
2004	A	`conf`	Face Recognition Using Novel LDA-Based Algorithms. ECAI Guang Dai, Yuntao Qian
2004	—	`conf`	Face recognition with the robust feature extracted by the generalized Foley-Sammon transform. ISCAS (2) Guang Dai, Yuntao Qian
2004	B	`conf`	Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition. ICIP Guang Dai, Yuntao Qian
2004	—	`conf`	Modified kernel-based nonlinear feature extraction [face recognition example]. ICASSP (5) Guang Dai, Yuntao Qian, Sen Jia
2003	—	`conf`	Feature Extraction Method Based on the Generalized Weighted Foley-Sammon Transform in High Dimensional Spaces. IICAI Guang Dai, Huanhuai Zhou, Lin Zhang, Changle Zhou