Shuheng Zhou
15 papers · 2007–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(84)
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Conference Pioneer
β‘
Prolific Year Β· Productive
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Trend Setter
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(7)
Mathematics & Optimization
(6)
Core Methods
(6)
Optimization & Theory
(6)
Core AI
(5)
Learning Types
(5)
Mathematics
(5)
Optimization
(4)
Application Areas
(3)
Learning Paradigms
(3)
Natural Language Processing
(2)
Deep Learning
(1)
Security & Privacy
(1)
Applications
(1)
Keywords
sparse regression
(3)
graphical model
(3)
high-dimensional statistics
(2)
open-domain question answering
(2)
precision matrix
(2)
sparse estimation
(2)
sparse optimization
(2)
lasso regression
(2)
precision matrix estimation
(2)
knowledge distillation
(2)
restricted eigenvalue
(2)
large language model
(2)
passage retrieval
(1)
semantic analysis
(1)
variable selection
(1)
chain-of-thought reasoning
(1)
in-context learning
(1)
multi-task learning
(1)
dimensionality reduction
(1)
l1 regularization
(1)
Papers
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering
COLING 2025
Sparse Latents Steer Retrieval-Augmented Generation
ACL 2025
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning
COLING 2024
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering
EMNLP 2024
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations
ACL 2024
Probe Then Retrieve and Reason: Distilling Probing and Reasoning Capabilities into Smaller Language Models
COLING 2024
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification
ACL 2024
Noise-Robust Training with Dynamic Loss and Contrastive Learning for Distantly-Supervised Named Entity Recognition
ACL 2023
Precision Matrix Estimation with Noisy and Missing Data
AISTATS 2019
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
NeurIPS 2017
The Bigraphical Lasso
ICML 2013
Reconstruction from Anisotropic Random Measurements
COLT 2012
High-dimensional Covariance Estimation Based On Gaussian Graphical Models
JMLR 2011
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
NeurIPS 2009
Compressed Regression
NeurIPS 2007