Bo Pan
13 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (8) π Academic Marathon (5) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (30)
π
Conference Polyglot
(7)
π
Academic Marathon
(5)
π±
Topic Pioneer
π§¬
Topic Evolution
π₯
Unstoppable
(5)
π
Century Club
(10)
ποΈ
Keyword Collector
(51)
Conferences
ACL (5)
AAAI (2)
NIPS (2)
ICCV (1)
ICML (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
large language model
(2)
multimodal large language model
(2)
active learning
(1)
reinforcement learning
(1)
stochastic gradient descent
(1)
multi-task learning
(1)
medical imaging
(1)
text-to-image generation
(1)
knowledge distillation
(1)
natural language generation
(1)
prompt engineering
(1)
multimodal learning
(1)
convergence analysis
(1)
image synthesis
(1)
explainable ai
(1)
variational inference
(1)
out-of-distribution generalization
(1)
medical image classification
(1)
policy iteration
(1)
deep reinforcement learning
(1)
Papers
Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports from Scratch with Agentic Framework
AAAI 2026
Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation
ACL 2026
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge
ACL 2026
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
ACL 2026
GRAG: Graph Retrieval-Augmented Generation
NAACL 2025
GraphNarrator: Generating Textual Explanations for Graph Neural Networks
ACL 2025
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
ICML 2024
ELAD: Explanation-Guided Large Language Models Active Distillation
ACL 2024
Visual Attention Prompted Prediction and Learning
IJCAI 2024
MAGI: Multi-Annotated Explanation-Guided Learning
ICCV 2023
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
AAAI 2022
Multi-objective Deep Data Generation with Correlated Property Control
NIPS 2022
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
NIPS 2021