Haoran Liu
16 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
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Keywords
large language model
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graph neural network
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3d graph
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knowledge graph
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domain adaptation
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prototype learning
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dexterous grasping
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language modeling
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bias detection
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point cloud
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graph generation
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video understanding
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text generation
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Papers
SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of Experts
AAAI 2026
LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
ACL 2026
Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks
RSS 2025
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
ACL 2025
Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models
ACL 2025
A Survey on LLMs for Story Generation
EMNLP 2025
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
AAAI 2025
DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes
CORL 2024
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
ACL 2024
DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels
AAAI 2024
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy
CVPR 2023
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
CVPR 2023
Learning Hierarchical Protein Representations via Complete 3D Graph Networks
ICLR 2023
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
ICLR 2023
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
NIPS 2022
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021