Fengxiang He
33 papers · 2019–2025 · 9 conferences · across top CS/AI conferences
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Conferences
ICLR (7)
AAAI (4)
CVPR (4)
ICML (4)
NIPS (4)
ICCV (3)
IJCAI (3)
UAI (3)
AISTATS (1)
Top co-authors
Research topics
Keywords
neural network
(3)
data augmentation
(2)
generalization bound
(2)
generative adversarial network
(2)
metric learning
(2)
vision transformer
(2)
text-to-image synthesis
(2)
decentralized stochastic gradient descent
(2)
few-shot learning
(2)
image generation
(2)
policy optimization
(1)
non-convex optimization
(1)
variable selection
(1)
domain generalization
(1)
stochastic gradient descent
(1)
representation learning
(1)
attention mechanism
(1)
image classification
(1)
density estimation
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feature extraction
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Papers
Task-Aware Clustering for Prompting Vision-Language Models
CVPR 2025
DICE: Data Influence Cascade in Decentralized Learning
ICLR 2025
Human-Imperceptible, Machine-Recognizable Images
IJCAI 2025
Adaptive Time-Stepping Schedules for Diffusion Models
UAI 2024
Convergence of Bayesian Bilevel Optimization
ICLR 2024
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
ICML 2023
Improving Heterogeneous Model Reuse by Density Estimation
IJCAI 2023
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis
AAAI 2023
Learning to Generalize Provably in Learning to Optimize
AISTATS 2023
$E(2)$-Equivariant Vision Transformer
UAI 2023
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification
ICCV 2023
Tilted Sparse Additive Models
ICML 2023
Bridged Transformer for Vision and Point Cloud 3D Object Detection
CVPR 2022
Topology-aware Generalization of Decentralized SGD
ICML 2022
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
AAAI 2022
Self-paced Supervision for Multi-source Domain Adaptation
IJCAI 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
AAAI 2022
Benefits of Permutation-Equivariance in Auction Mechanisms
NIPS 2022
Knowledge Removal in Sampling-based Bayesian Inference
ICLR 2022
Huber Additive Models for Non-stationary Time Series Analysis
ICLR 2022
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
ICLR 2022
When to Update Your Model: Constrained Model-based Reinforcement Learning
NIPS 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
NIPS 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
ICML 2022
Siamese Network with Interactive Transformer for Video Object Segmentation
AAAI 2022
Text-to-Image Synthesis Based on Object-Guided Joint-Decoding Transformer
CVPR 2022
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms
UAI 2021
Understanding Generalization in Recurrent Neural Networks
ICLR 2020
Piecewise linear activations substantially shape the loss surfaces of neural networks
ICLR 2020
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence
NIPS 2019
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning
ICCV 2019
Progressive Reconstruction of Visual Structure for Image Inpainting
ICCV 2019
Fast Spatio-Temporal Residual Network for Video Super-Resolution
CVPR 2019