Dianbo Liu
13 papers · 2019–2026 · 7 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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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Triple Crown
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Renaissance Researcher
(5)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(70)
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Trend Setter
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(3)
Models
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Analysis
(2)
Application Areas
(2)
Applications
(2)
Keywords
representation learning
(2)
vector quantization
(2)
posterior distribution
(2)
generative flow network
(2)
bayesian inference
(2)
federated learning
(2)
large language model
(2)
semantic segmentation
(1)
reinforcement learning
(1)
unsupervised learning
(1)
object detection
(1)
visual question answering
(1)
information extraction
(1)
clinical text mining
(1)
uncertainty quantification
(1)
text classification
(1)
out-of-distribution generalization
(1)
scene representation
(1)
future prediction
(1)
variational inference
(1)
Papers
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
AAAI 2026
Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models
ACL 2026
Flow Factorization for Efficient Generative Flow Networks
AAAI 2025
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
ICML 2025
Unsupervised Concept Discovery Mitigates Spurious Correlations
ICML 2024
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness
AAAI 2023
GFlowOut: Dropout with Generative Flow Networks
ICML 2023
Reusable Slotwise Mechanisms
NeurIPS 2023
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
ICLR 2023
Discrete-Valued Neural Communication
NeurIPS 2021
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters
ICCV 2021
hBERT + BiasCorp - Fighting Racism on the Web
EACL 2021
Two-stage Federated Phenotyping and Patient Representation Learning
ACL 2019