Guang Dai
36 papers · 2009–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (77) π Conference Polyglot Β· Gold π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Dynamic Duo
(17)
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Triple Crown
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Prolific Year Β· Prolific
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The Questioner
(2)
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Century Club Β· Bronze
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Renaissance Researcher
(8)
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Venues
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Research topics
Machine Learning
(20)
Artificial Intelligence
(16)
Deep Learning
(16)
Core AI
(14)
Computer Vision
(11)
Application Areas
(8)
Models
(8)
Optimization & Theory
(7)
Mathematics & Optimization
(6)
Core Methods
(6)
Generation
(6)
Learning Types Β· Machine Learning
(6)
Optimization
(6)
Learning Types Β· Deep Learning
(5)
Processing
(5)
Keywords
diffusion model
(8)
attention mechanism
(4)
multimodal learning
(3)
markov chain monte carlo
(3)
subject consistency
(2)
image editing
(2)
video understanding
(2)
sparse modeling
(2)
zeroth-order optimization
(2)
text-to-image generation
(2)
kernel methods
(2)
large language model
(2)
image generation
(2)
bayesian inference
(2)
cross-modal retrieval
(2)
text-to-image diffusion
(2)
model selection
(1)
adversarial learning
(1)
temporal modeling
(1)
action recognition
(1)
Papers
DynBridge: Bridging Imagination and Control through Interaction Dynamics for Robot Manipulation
CVPR 2026
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
AAAI 2026
SRA 2: Variational Autoencoder Self-Representation Alignment for Efficient Diffusion Training
CVPR 2026
Action Detail Matters: Refining Video Recognition with Local Action Queries
CVPR 2025
DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making
ICML 2025
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis
EMNLP 2025
IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection
ACL 2025
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization
IJCAI 2025
Low-Biased General Annotated Dataset Generation
CVPR 2025
Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling
ICLR 2025
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
ACL 2025
ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs
ICLR 2025
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer
ICLR 2025
SpotActor: Training-Free Layout-Controlled Consistent Image Generation
AAAI 2025
VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling
IJCAI 2025
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition
AAAI 2024
Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
ICML 2024
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
ICLR 2024
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods
ICML 2024
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient
ICML 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
NeurIPS 2024
Learning Discretized Neural Networks under Ricci Flow
JMLR 2024
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval
CVPR 2024
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
AAAI 2024
OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
NeurIPS 2024
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
NeurIPS 2024
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation
AAAI 2024
Timestep-Aware Correction for Quantized Diffusion Models
ECCV 2024
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
ICCV 2023
SUBP: Soft Uniform Block Pruning for 1ΓN Sparse CNNs Multithreading Acceleration
NeurIPS 2023
Coherence Functions with Applications in Large-Margin Classification Methods
JMLR 2012
Bayesian Generalized Kernel Mixed Models
JMLR 2011
Bayesian Generalized Kernel Models
AISTATS 2010
Matrix-Variate Dirichlet Process Mixture Models
AISTATS 2010
Regularized Discriminant Analysis, Ridge Regression and Beyond
JMLR 2010
Optimal Scoring for Unsupervised Learning
NeurIPS 2009