Tiancheng Lin
3 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Healthcare & Medicine
(3)
Machine Learning
(3)
Clinical
(3)
Computer Vision
(2)
Deep Learning
(2)
Domain-Specific
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
causal inference
(2)
multi-instance learning
(2)
whole slide image
(2)
pathological image
(2)
weakly supervised learning
(1)
state space model
(1)
causal intervention
(1)
tumor staging
(1)
backdoor adjustment
(1)
pathological image classification
(1)
bag-level prediction
(1)
local inductive bia
(1)
representation learning
(1)
feature extraction
(1)
instance-level prediction
(1)
Papers
Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis
ICCV 2025
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images
CVPR 2023
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
AAAI 2022