Huaping Liu

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach AAAI 2025 Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning IJCAI 2025 LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification ICML 2025 Maximum Total Correlation Reinforcement Learning ICML 2025 MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation CVPR 2025 MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception CVPR 2025 ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments EMNLP 2025 Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks ICML 2025 CompetEvo: Towards Morphological Evolution from Competition IJCAI 2024 Demonstrating HumanTHOR: A Simulation Platform and Benchmark for Human-Robot Collaboration in a Shared Workspace RSS 2024 Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring CVPR 2024 EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models CVPR 2024 GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting CVPR 2024 Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation CoRL 2024 Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration RSS 2024 Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024 Small Scale Data-Free Knowledge Distillation CVPR 2024 Text-to-3D using Gaussian Splatting CVPR 2024 Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level ACL 2024 Vision-Language Foundation Models as Effective Robot Imitators ICLR 2024 Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction NeurIPS 2023 Mixed Neural Voxels for Fast Multi-view Video Synthesis ICCV 2023 Continual Learning with Recursive Gradient Optimization ICLR 2022 Embodied Multi-Agent Task Planning from Ambiguous Instruction RSS 2022 Sim2Real Object-Centric Keypoint Detection and Description AAAI 2022 Embodied Semantic Scene Graph Generation CoRL 2021 Evaluations of the Gap between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation Tasks CoRL 2021 MQA: Answering the Question via Robotic Manipulation RSS 2021 Understanding the Behaviour of Contrastive Loss CVPR 2021 Multi-Agent Embodied Question Answering in Interactive Environments ECCV 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Towards Embodied Scene Description RSS 2020 Unsupervised Representation Learning by Invariance Propagation NeurIPS 2020 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement NeurIPS 2019 Task Transfer by Preference-Based Cost Learning AAAI 2019 Deep Feature Pyramid Reconfiguration for Object Detection ECCV 2018 RON: Reverse Connection With Objectness Prior Networks for Object Detection CVPR 2017 Learning Stable Linear Dynamical Systems with the Weighted Least Square Method IJCAI 2016 Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016 Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm IJCAI 2015 Scalable Gaussian Process Regression Using Deep Neural Networks IJCAI 2015