Bo Pan
13 papers · 2021–2026 · 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
Jump to papers ↓+4 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🧬 Topic Evolution
🗃️
Keyword Collector
(68)
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Deep Learning
(6)
Machine Learning
(6)
Learning Types · Deep Learning
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Generation · Natural Language Processing
(2)
Generation · Computer Vision
(2)
Optimization
(2)
Knowledge & Reasoning
(1)
Keywords
large language model
(2)
dependent data
(2)
sample average approximation
(2)
multimodal large language model
(2)
stochastic gradient descent
(1)
multi-task learning
(1)
active learning
(1)
knowledge distillation
(1)
reinforcement learning
(1)
natural language generation
(1)
prompt engineering
(1)
multimodal learning
(1)
convergence analysis
(1)
sample complexity
(1)
text-to-image generation
(1)
medical imaging
(1)
explainable ai
(1)
out-of-distribution generalization
(1)
medical image classification
(1)
image synthesis
(1)
Papers
Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation
ACL 2026
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
ACL 2026
Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports from Scratch with Agentic Framework
AAAI 2026
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge
ACL 2026
GRAG: Graph Retrieval-Augmented Generation
NAACL 2025
GraphNarrator: Generating Textual Explanations for Graph Neural Networks
ACL 2025
ELAD: Explanation-Guided Large Language Models Active Distillation
ACL 2024
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
ICML 2024
Visual Attention Prompted Prediction and Learning
IJCAI 2024
MAGI: Multi-Annotated Explanation-Guided Learning
ICCV 2023
Multi-objective Deep Data Generation with Correlated Property Control
NeurIPS 2022
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
AAAI 2022
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
NeurIPS 2021