Tao LIN
59 papers · 2017–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 23 separate collaboration groups - the largest holds only 20% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Tao LIN?
11 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 Martin Jaggi, Sebastian Stich, Lingjing Kong
12 papers
· 2018–2026
· NeurIPS, ICLR, ICML
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with Yongxin Guo, Xiaoying Tang, Lin Wang
6 papers
· 2023–2025
· ICLR, ICML, ICCV
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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
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
12 papers whose co-authors appear nowhere else under this name
Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
CVPR 2026
Dual-Granularity Memory for Efficient Video Generation
CVPR 2026
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
ICLR 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning
AAAI 2025
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
NeurIPS 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
ECCV 2024
Towards Robust Multi-Modal Reasoning via Model Selection
ICLR 2024
Test-Time Robust Personalization for Federated Learning
ICLR 2023
Adversarial training for high-stakes reliability
NeurIPS 2022
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
AAAI 2022
Learning Utilities and Equilibria in Non-Truthful Auctions
NeurIPS 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
NeurIPS 2020