Guohao Li
20 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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Conferences
CVPR (4)
ACL (3)
EMNLP (3)
NIPS (3)
ICLR (2)
RSS (2)
AAAI (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
large language model
(4)
multi-agent system
(3)
graph convolutional network
(3)
graph neural network
(3)
semantic segmentation
(2)
neural network
(2)
vision-language model
(2)
deep learning
(2)
benchmark evaluation
(2)
game theory
(2)
point cloud
(2)
language model
(2)
graph classification
(1)
image retrieval
(1)
imitation learning
(1)
computer vision
(1)
feature extraction
(1)
robust optimization
(1)
cross-lingual transfer
(1)
domain adaptation
(1)
Papers
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
ACL 2026
Vision-Language Models Do Not Understand Negation
CVPR 2025
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
ICLR 2025
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis
ACL 2025
CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents
ACL 2025
EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
ICLR 2025
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
EMNLP 2025
Beyond Human Labels: A Multi-Linguistic Auto-Generated Benchmark for Evaluating Large Language Models on Resume Parsing
EMNLP 2025
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training
EMNLP 2024
Can Large Language Model Agents Simulate Human Trust Behavior?
NIPS 2024
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
NIPS 2023
Multi-Domain Generalized Graph Meta Learning
AAAI 2023
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers
RSS 2023
Robust Optimization As Data Augmentation for Large-Scale Graphs
CVPR 2022
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
NIPS 2021
Training Graph Neural Networks with 1000 Layers
ICML 2021
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks
CVPR 2021
SGAS: Sequential Greedy Architecture Search
CVPR 2020
OIL: Observational Imitation Learning
RSS 2019
DeepGCNs: Can GCNs Go As Deep As CNNs?
ICCV 2019