← Authors

Fengxiang He

33 papers · 2019–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) πŸƒ Academic Marathon (6) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (33) ⚑ Prolific Year (14) πŸ—ƒοΈ Keyword Collector (140) πŸ”₯ Unstoppable (7)

Conferences

ICLR (7) AAAI (4) CVPR (4) ICML (4) NIPS (4) ICCV (3) IJCAI (3) UAI (3) AISTATS (1)

Top co-authors

Dacheng Tao (23) Jun Cheng (6) Fusheng Hao (6) Bo Du (5) Fuxiang Wu (5) Xinmei Tian (4) Tongtian Zhu (3) Wenbing Huang (3) Lefei Zhang (3) Liu Liu (3)

Research topics

Differential Privacy (1)

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 (1) feature extraction (1)

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