Weiran Huang
27 papers · 2018–2025 · 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 8 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Weiran Huang?
3 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 Zhiquan Tan, Kaipeng Zheng, Kun Song
10 papers
· 2023–2025
· ICML, NeurIPS
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Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
ICML 2025
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
NeurIPS 2024
Information Flow in Self-Supervised Learning
ICML 2024
Matrix Information Theory for Self-Supervised Learning
ICML 2024
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
ICML 2024
Provable Contrastive Continual Learning
ICML 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
NeurIPS 2024
Unveiling the Dynamics of Information Interplay in Supervised Learning
ICML 2024
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
NeurIPS 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
NeurIPS 2023
5 papers whose co-authors appear nowhere else under this name
FinLLM-B: When Large Language Models Meet Financial Breakout Trading
NAACL 2025
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering
ECCV 2024
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
ICLR 2023
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
AISTATS 2022
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks
AAAI 2019