Shuheng Zhou
15 papers · 2007–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (18) π Interdisciplinary Bridge π Conference Polyglot (8) π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(38)
π±
Topic Pioneer
π
Keyword Champion
(2)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(15)
ποΈ
Keyword Collector
(81)
β‘
Prolific Year
(5)
Conferences
ACL (4)
COLING (3)
NIPS (3)
AISTATS (1)
COLT (1)
EMNLP (1)
ICML (1)
JMLR (1)
Top co-authors
Research topics
Keywords
graphical model
(3)
sparse regression
(3)
high-dimensional statistics
(2)
large language model
(2)
sparse optimization
(2)
sparse estimation
(2)
precision matrix
(2)
restricted eigenvalue
(2)
open-domain question answering
(2)
knowledge distillation
(2)
precision matrix estimation
(2)
semantic analysis
(1)
variable selection
(1)
passage retrieval
(1)
chain-of-thought reasoning
(1)
in-context learning
(1)
multi-task learning
(1)
dimensionality reduction
(1)
l1 regularization
(1)
brain connectivity
(1)
Papers
Sparse Latents Steer Retrieval-Augmented Generation
ACL 2025
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering
COLING 2025
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering
EMNLP 2024
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification
ACL 2024
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations
ACL 2024
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning
COLING 2024
Probe Then Retrieve and Reason: Distilling Probing and Reasoning Capabilities into Smaller Language Models
COLING 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
NIPS 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
NIPS 2009
Compressed Regression
NIPS 2007