Shi Li
13 papers · 2018–2026 · 9 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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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver ποΈ Keyword Collector (56)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(8)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Mathematics & Optimization
(7)
Optimization
(7)
Core Methods
(6)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(3)
Optimization & Theory
(3)
Computer Science
(2)
Data Science & Analytics
(2)
Deep Learning
(2)
Applications
(2)
Foundations
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
approximation algorithm
(6)
combinatorial optimization
(3)
online algorithm
(2)
fair clustering
(2)
stochastic clustering
(2)
multimodal learning
(1)
temporal reasoning
(1)
stochastic optimization
(1)
nonlinear regression
(1)
outlier detection
(1)
linear programming
(1)
algorithm design
(1)
stochastic process
(1)
outlier removal
(1)
video segmentation
(1)
bipartite graph
(1)
distributed clustering
(1)
outlier handling
(1)
k-median clustering
(1)
rule-based learning
(1)
Papers
From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature
CVPR 2026
Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion
AAAI 2026
Logarithmic Approximations for Fair k-Set Selection
IJCAI 2025
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
MICCAI 2025
TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy
EMNLP 2023
On Facility Location Problem in the Local Differential Privacy Model
AISTATS 2022
Consistent k-Median: Simpler, Better and Robust
AISTATS 2021
Online Unrelated Machine Load Balancing with Predictions Revisited
ICML 2021
Estimating Stochastic Linear Combination of Non-Linear Regressions
AAAI 2020
Approximation Algorithms for Stochastic Clustering
JMLR 2019
Facility Location Problem in Differential Privacy Model Revisited
NeurIPS 2019
Approximation algorithms for stochastic clustering
NeurIPS 2018
Distributed k-Clustering for Data with Heavy Noise
NeurIPS 2018