Chuanhao Li
31 papers · 2021–2026 · 11 conferences · across top CS/AI conferences
Achievements
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Keyword Collector
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Unstoppable
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Conferences
NIPS (7)
AAAI (5)
ICLR (4)
ICML (4)
AISTATS (3)
CVPR (2)
EMNLP (2)
ACL (1)
ECCV (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
compositional generalization
(5)
visual question answering
(5)
contextual bandit
(4)
federated learning
(4)
vision-language model
(3)
multi-armed bandit
(3)
large language model
(3)
communication efficiency
(3)
recommendation system
(3)
benchmark evaluation
(2)
linear contextual bandit
(2)
reinforcement learning
(2)
game theory
(2)
online learning
(2)
regret bound
(2)
recommender system
(2)
self-supervised learning
(1)
sequential decision making
(1)
image generation
(1)
cognitive modeling
(1)
Papers
Composition-Incremental Learning for Compositional Generalization
AAAI 2026
MeepleLM: A Virtual Playtester Simulating Diverse Subjective Experiences
ACL 2026
MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models
AAAI 2026
OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation
CVPR 2025
Multi-Sourced Compositional Generalization in Visual Question Answering
IJCAI 2025
Consistency of Compositional Generalization Across Multiple Levels
AAAI 2025
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
ICML 2025
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
ICLR 2025
InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
EMNLP 2025
Compositional Substitutivity of Visual Reasoning for Visual Question Answering
ECCV 2024
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
NIPS 2024
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
NIPS 2024
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
NIPS 2024
Federated Linear Contextual Bandits with Heterogeneous Clients
AISTATS 2024
In-Context Compositional Generalization for Large Vision-Language Models
EMNLP 2024
Communication-Efficient Federated Non-Linear Bandit Optimization
ICLR 2024
Incentivized Truthful Communication for Federated Bandits
ICLR 2024
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
ICML 2024
Pure Exploration in Asynchronous Federated Bandits
UAI 2024
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
ICLR 2023
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language
CVPR 2023
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
NIPS 2023
How Bad is Top-$K$ Recommendation under Competing Content Creators?
ICML 2023
Incentivized Communication for Federated Bandits
NIPS 2023
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
AISTATS 2022
Learning the Optimal Recommendation from Explorative Users
AAAI 2022
Learning from a Learning User for Optimal Recommendations
ICML 2022
Communication Efficient Federated Learning for Generalized Linear Bandits
NIPS 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
NIPS 2022
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing
AAAI 2022
Unifying Clustered and Non-stationary Bandits
AISTATS 2021