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Haoran Liu

17 papers · 2021–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (42) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
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Papers

GeoDiT: A Diffusion-based Vision-Language Model for Geospatial Understanding CVPR 2026 LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety ACL 2026 SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of Experts AAAI 2026 A Survey on LLMs for Story Generation EMNLP 2025 GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking ACL 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025 Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models ACL 2025 Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks RSS 2025 DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes CoRL 2024 DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels AAAI 2024 KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques ACL 2024 Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling CVPR 2023 Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models ICLR 2023 Learning Hierarchical Protein Representations via Complete 3D Graph Networks ICLR 2023 UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy CVPR 2023 ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs NeurIPS 2022 DIG: A Turnkey Library for Diving into Graph Deep Learning Research JMLR 2021