Xiaoying Tang
27 papers · 2022–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 5 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Xiaoying Tang?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yongxin Guo, Tao LIN, Zibin Pan
13 papers
· 2023–2026
· AAAI, ICLR, ACL
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Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs
ACL 2026
G2RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance
ACL 2026
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
ICCV 2025
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
ICLR 2025
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
ICLR 2025
Federated Unlearning with Gradient Descent and Conflict Mitigation
AAAI 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
FedLF: Layer-Wise Fair Federated Learning
AAAI 2024
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
ICML 2024
DELTA: Diverse Client Sampling for Fasting Federated Learning
NeurIPS 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
ICML 2023
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance
AAAI 2023