← Authors

Guanghui Wang

41 papers · 2018–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (8) 🀝 Dynamic Duo (16) πŸ† Grand Slam πŸ”¬ Deep Specialist (13) πŸ”₯ Unstoppable (9) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (157) πŸ’Ž Century Club (41)

Conferences

NIPS (6) ICML (5) JMLR (5) WACV (5) IJCAI (4) AAAI (3) AISTATS (3) CVPR (3) ICLR (3) COLING (1) COLT (1) ICCV (1) UAI (1)

Top co-authors

Lijun Zhang (16) Shiyin Lu (6) Zihao Hu (5) Jacob D. Abernethy (4) Ziming Zhang (4) Tianbao Yang (4) Changliang Zou (4) Yao Hu (3) Wei-Wei Tu (3) Zhi-Hua Zhou (3)

Keywords

online learning (9) regret bound (9) online convex optimization (6) strong convexity (3) gradient descent (3) convex optimization (3) neural network optimization (3) dynamic regret (3) riemannian manifold (3) upper confidence bound (2) representation learning (2) sequential decision-making (2) strongly convex (2) online optimization (2) attention mechanism (2) change-point detection (2) statistical inference (2) model selection (2) stochastic optimization (2) convolutional neural network (2)

Papers

SIAM: Synchronous Interaction Attention for Human Mesh Recovery WACV 2026
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting ICLR 2025
Learning Imbalanced Data with Beneficial Label Noise ICML 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning ICML 2025
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection JMLR 2025
Universal Online Convex Optimization Meets Second-order Bounds JMLR 2025
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying COLING 2025
Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation IJCAI 2025
Exposure-slot: Exposure-centric Representations Learning with Slot-in-Slot Attention for Region-aware Exposure Correction CVPR 2025
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $Ξ±$-$Ξ²$-Divergence ICML 2025
Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024
Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024
On Accelerated Perceptrons and Beyond ICLR 2023
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets WACV 2023
Minimizing Dynamic Regret on Geodesic Metric Spaces COLT 2023
Riemannian Projection-free Online Learning NIPS 2023
Faster Margin Maximization Rates for Generic Optimization Methods NIPS 2023
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization AISTATS 2022
Adaptive Oracle-Efficient Online Learning NIPS 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients CVPR 2022
A Simple yet Universal Strategy for Online Convex Optimization ICML 2022
Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022
Online Convex Optimization with Continuous Switching Constraint NIPS 2021
Bandit Convex Optimization in Non-stationary Environments JMLR 2021
Stochastic Graphical Bandits with Adversarial Corruptions AAAI 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NIPS 2021
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer ICCV 2021
SAdam: A Variant of Adam for Strongly Convex Functions ICLR 2020
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs IJCAI 2020
Bandit Convex Optimization in Non-stationary Environments AISTATS 2020
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs WACV 2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters WACV 2020
Plug-and-Play Rescaling Based Crowd Counting in Static Images WACV 2020
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization AAAI 2020
Multi-Objective Generalized Linear Bandits IJCAI 2019
Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards ICML 2019
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization UAI 2019
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning CVPR 2018
Minimizing Adaptive Regret with One Gradient per Iteration IJCAI 2018