Tengfei LIU
8 papers · 2020–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (5) π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(29)
ποΈ
Keyword Collector
(55)
Conferences
AAAI (3)
NIPS (3)
IJCAI (2)
Top co-authors
Research topics
Keywords
radiology report generation
(2)
representation learning
(1)
label noise
(1)
online learning
(1)
binary classification
(1)
object detection
(1)
self-supervised learning
(1)
medical imaging
(1)
graph representation learning
(1)
knowledge distillation
(1)
in-context learning
(1)
temporal reasoning
(1)
graph representation
(1)
positive unlabeled learning
(1)
image segmentation
(1)
gradient descent
(1)
nonparametric regression
(1)
classifier learning
(1)
survival analysis
(1)
differential privacy
(1)
Papers
MARE: Multimodal Analogical Reasoning for Disease Evolution-Aware Radiology Report Generation
AAAI 2026
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
AAAI 2025
Mixture-of-Queries Transformer: Camouflaged Instance Segmentation via Queries Cooperation and Frequency Enhancement
IJCAI 2025
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
NIPS 2024
On provable privacy vulnerabilities of graph representations
NIPS 2024
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions
NIPS 2023
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
AAAI 2020
Online Positive and Unlabeled Learning
IJCAI 2020