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Guohao Li

CAMEL: Communicative Agents for ''Mind'' Exploration of Large Language Model Society
DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers
Knowledge-aware Global Reasoning for Situation Recognition
LC-NAS: Latency constrained neural architecture search for point cloud networks
Robust Optimization as Data Augmentation for Large-scale Graphs
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Training Graph Neural Networks with 1000 layers
DeepGCNs: Making GCNs Go as Deep as CNNs
PU-GCN: Point Cloud Upsampling via Graph Convolutional Network
SGAS: Sequential Greedy Architecture Search
DeepGCNs: Can GCNs Go as Deep as CNNs?
OIL: Observational Imitation Learning