Xiaoying Tang

26 papers · 2022–2026 · 11 conferences · across top CS/AI conferences

Achievements

+6 more ↓

🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (5)

🌍 Conference Polyglot (10) 🏆 Grand Slam 🗃️ Keyword Collector (71) 🚀 Conference Pioneer 💎 Century Club (24) ⚡ Prolific Year (6)

Conferences

MICCAI (5) AAAI (4) ICLR (3) MIDL (3) ACL (2) CVPR (2) ICCV (2) ICML (2) AISTATS (1) EMNLP (1) NIPS (1)

Top co-authors

Yongxin Guo (10) Tao LIN (6) Li Lin (5) Pujin Cheng (4) Zibin Pan (3) Chi Li (3) Junyan Lyu (3) Junhua Zhao (3) Zhichao Wang (2) Qingbin Liu (2)

Keywords

federated learning (5) model aggregation (2) gradient descent (2) data heterogeneity (2) contrastive learning (2) feature learning (2) vision-language model (2) client sampling (2) large language model (2) gradient conflict (2) multi-objective optimization (2) medical imaging (1) noisy label learning (1) attention mechanism (1) mathematical reasoning (1) multi-task learning (1) optimal transport (1) prompt learning (1) visual question answering (1) benchmark evaluation (1)

Papers

G2RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance ACL 2026 Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs ACL 2026 Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 2025 AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer CVPR 2025 TRACE: Temporal Grounding Video LLM via Causal Event Modeling ICLR 2025 VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding AAAI 2025 Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025 Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies ICLR 2025 Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models ICLR 2025 Masked Contrastive Language-Image Modeling For Brain Segmentation MICCAI 2025 Probabilistic Prior-Guided Anatomical Alignment for MRI Super-Resolution MICCAI 2025 UniOCTSeg: Towards Universal OCT Retinal Layer Segmentation via Hierarchical Prompting and Progressive Consistency Learning MICCAI 2025 FedLF: Layer-Wise Fair Federated Learning AAAI 2024 Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs EMNLP 2024 BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification MICCAI 2024 Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification MICCAI 2024 FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering ICML 2024 DELTA: Diverse Client Sampling for Fasting Federated Learning NIPS 2023 MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging MIDL 2023 PRIOR: Prototype Representation Joint Learning from Medical Images and Reports ICCV 2023 FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023 FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023 Prior Guided 3D Medical Image Landmark Localization MIDL 2023 JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection MIDL 2022