Sen Wu
9 papers · 2016–2026 · 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
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
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Grand Slam
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Learning Types · Machine Learning
(5)
Core AI
(4)
Core Methods
(4)
Learning Paradigms
(4)
Deep Learning
(2)
Knowledge & Reasoning
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
negative transfer
(2)
multi-task learning
(2)
transfer learning
(2)
data augmentation
(2)
entity linking
(1)
text classification
(1)
representation learning
(1)
label noise
(1)
weakly supervised learning
(1)
knowledge transfer
(1)
knowledge base
(1)
ridge regression
(1)
causal effect estimation
(1)
factual knowledge
(1)
natural language understanding
(1)
attention mechanism
(1)
covariance matrix
(1)
mutual information
(1)
image classification
(1)
causal inference
(1)
Papers
SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
AAAI 2026
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
JMLR 2025
Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models
ACL 2022
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text
EMNLP 2021
Ivy: Instrumental Variable Synthesis for Causal Inference
AISTATS 2020
On the Generalization Effects of Linear Transformations in Data Augmentation
ICML 2020
Understanding and Improving Information Transfer in Multi-Task Learning
ICLR 2020
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
NeurIPS 2019
Data Programming: Creating Large Training Sets, Quickly
NeurIPS 2016