Xitong Gao
15 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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(10)
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(23)
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(7)
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(74)
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Prolific Year
(5)
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Century Club
(15)
Conferences
CVPR (3)
NIPS (3)
AAAI (2)
EMNLP (2)
ICLR (2)
ACL (1)
ACML (1)
ICCV (1)
Top co-authors
Keywords
model compression
(4)
adversarial attack
(2)
few-shot learning
(2)
federated learning
(2)
attention mechanism
(1)
semi-supervised learning
(1)
adversarial learning
(1)
model robustness
(1)
benchmark evaluation
(1)
optimal transport
(1)
model adaptation
(1)
knowledge distillation
(1)
empirical study
(1)
neural architecture search
(1)
efficient inference
(1)
data-free learning
(1)
ensemble learning
(1)
prompt learning
(1)
distributed optimization
(1)
representation learning
(1)
Papers
OAgents: An Empirical Study of Building Effective Agents
EMNLP 2025
A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
CVPR 2025
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization
EMNLP 2025
Progressive Distribution Matching for Federated Semi-Supervised Learning
AAAI 2025
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models
ACL 2025
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
AAAI 2024
Revisiting Structured Dropout
ACML 2023
AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models
ICCV 2023
Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity
CVPR 2023
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack
NIPS 2022
Rapid Model Architecture Adaption for Meta-Learning
NIPS 2022
LAFEAT: Piercing Through Adversarial Defenses With Latent Features
CVPR 2021
Pay Attention to Features, Transfer Learn Faster CNNs
ICLR 2020
Dynamic Channel Pruning: Feature Boosting and Suppression
ICLR 2019
Focused Quantization for Sparse CNNs
NIPS 2019