Xitong Gao

15 papers · 2019–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+7 more ↓

🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

👥 Mega-Team · Squad 🧬 Topic Evolution 🤝 Dynamic Duo (10) ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (81)

Venues

CVPR (3) NeurIPS (3) AAAI (2) EMNLP (2) ICLR (2) ACL (1) ACML (1) ICCV (1)

Top co-authors

Cheng-Zhong Xu (10) Yiren Zhao (8) Dongping Liao (5) Robert Mullins (4) Tianrui Qin (2) yunrui yu (2) Kejiang Ye (2) Jianyi Cheng (1) Xin Gui (1) Pai Liu (1)

Research topics

Machine Learning (14) Deep Learning (11) Artificial Intelligence (8) Learning Types · Machine Learning (7) Application Areas · Machine Learning (6) Architectures (6) Optimization & Theory · Deep Learning (6) Core AI (5) Learning Types · Deep Learning (5) Optimization & Theory · Machine Learning (5) Learning Paradigms · Artificial Intelligence (4) Techniques (3) Natural Language Processing (1) Application Areas · Deep Learning (1) Learning Paradigms · Machine Learning (1)

Keywords

model compression (6) convolutional neural network (3) few-shot learning (2) federated learning (2) knowledge distillation (2) adversarial attack (2) benchmark evaluation (1) ensemble learning (1) image classification (1) transfer learning (1) efficient inference (1) model robustness (1) optimal transport (1) attention mechanism (1) representation learning (1) data-free learning (1) neural architecture search (1) semi-supervised learning (1) empirical study (1) adversarial learning (1)

Papers

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 OAgents: An Empirical Study of Building Effective Agents 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 Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity CVPR 2023 AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models ICCV 2023 Revisiting Structured Dropout ACML 2023 MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack NeurIPS 2022 Rapid Model Architecture Adaption for Meta-Learning NeurIPS 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 NeurIPS 2019