Jiahao Xie
19 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(17)
Learning Types Β· Machine Learning
(11)
Deep Learning
(8)
Optimization & Theory
(7)
Computer Vision
(5)
Core Methods
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Artificial Intelligence
(3)
Analysis
(3)
Learning Types Β· Deep Learning
(3)
Learning Paradigms
(2)
Techniques
(2)
Natural Language Processing
(1)
Architectures
(1)
Keywords
self-supervised learning
(3)
representation learning
(3)
robust optimization
(2)
transfer learning
(2)
markov chain monte carlo
(2)
unsupervised learning
(2)
stochastic gradient
(2)
visual pretraining
(2)
optimal transport
(2)
online learning
(1)
feature learning
(1)
contrastive learning
(1)
adversarial learning
(1)
semantic segmentation
(1)
langevin dynamics
(1)
sparse representation
(1)
scene understanding
(1)
zero-shot learning
(1)
graph matching
(1)
bayesian inference
(1)
Papers
CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
ICCV 2025
Test-Time Visual In-Context Tuning
CVPR 2025
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems
AAAI 2023
Controllable Image Captioning via Prompting
AAAI 2023
Correlational Image Modeling for Self-Supervised Visual Pre-Training
CVPR 2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
CVPR 2023
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
ICLR 2023
Robust Graph Dictionary Learning
ICLR 2023
Towards Optimal Randomized Strategies in Adversarial Example Game
AAAI 2023
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs
AAAI 2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training
CVPR 2022
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method
AAAI 2021
Unsupervised Object-Level Representation Learning from Scene Images
NeurIPS 2021
Accelerating Stratified Sampling SGD by Reconstructing Strata
IJCAI 2020
Aggregated Gradient Langevin Dynamics
AAAI 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
AAAI 2020
Online Deep Clustering for Unsupervised Representation Learning
CVPR 2020
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization
AISTATS 2019
Towards Memory-Friendly Deterministic Incremental Gradient Method
AISTATS 2018