Baochun Li
14 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Pioneer
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Grand Slam
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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(69)
Top co-authors
Research topics
Artificial Intelligence
(9)
Deep Learning
(8)
Core AI
(8)
Machine Learning
(7)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Reinforcement Learning
(3)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Methods
(3)
Core Methods
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Keywords
graph neural network
(4)
reinforcement learning
(3)
neural network training
(2)
causal inference
(2)
device placement
(2)
proximal policy optimization
(2)
large language model
(2)
problem solving
(2)
neural network optimization
(2)
prompt engineering
(2)
vision transformer
(1)
multimodal learning
(1)
model architecture
(1)
explainable ai
(1)
chain-of-thought reasoning
(1)
semi-supervised learning
(1)
multi-agent reinforcement learning
(1)
granger causality
(1)
collaborative filtering
(1)
permutation equivariance
(1)
Papers
Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence
ACL 2026
rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection
ACL 2026
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
ICLR 2024
PepRec: Progressive Enhancement of Prompting for Recommendation
EMNLP 2024
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search
AAAI 2024
Permutation Equivariance of Transformers and Its Applications
CVPR 2024
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
ICML 2024
RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching
UAI 2023
Multi-Modal Dynamic Graph Transformer for Visual Grounding
CVPR 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
CVPR 2022
Generative Causal Explanations for Graph Neural Networks
ICML 2021
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data
CVPR 2020
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
NeurIPS 2018
Spotlight: Optimizing Device Placement for Training Deep Neural Networks
ICML 2018