Bohan Wu
11 papers · 2019–2026 · 7 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Renaissance Researcher (5)
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Century Club Β· Bronze
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Reinforcement Learning
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Keywords
large language model
(2)
bayesian inference
(2)
nonparametric bayesian
(1)
variational inference
(1)
optimal transport
(1)
model misspecification
(1)
source separation
(1)
model-based reinforcement learning
(1)
video generation
(1)
video prediction
(1)
greedy training
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speaker embedding
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synthetic data generation
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label noise
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sim-to-real transfer
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distributed inference
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hierarchical model
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signal-to-noise ratio
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posterior consistency
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deep reinforcement learning
(1)
Papers
Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes
JMLR 2026
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
AAAI 2026
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
JMLR 2026
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
ACL 2026
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
ACL 2025
Frequentist Guarantees of Distributed (Non)-Bayesian Inference
JMLR 2025
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
NAACL 2025
Target conversation extraction: Source separation using turn-taking dynamics
Interspeech 2024
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
CoRL 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
CVPR 2021
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
CoRL 2019