Huaping Liu
41 papers · 2015–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (10) π Conference Polyglot (12) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (77)
πΊοΈ
Taxonomy Completionist
(77)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(17)
π§¬
Topic Evolution
π
Grand Slam
π
Century Club
(41)
ποΈ
Keyword Collector
(173)
π₯
Unstoppable
(11)
β‘
Prolific Year
(12)
π
Conference Pioneer
Conferences
CVPR (10)
AAAI (5)
IJCAI (5)
RSS (5)
CORL (3)
ICML (3)
NIPS (3)
ECCV (2)
ICLR (2)
ACL (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
reinforcement learning
(5)
imitation learning
(4)
large language model
(4)
graph neural network
(3)
embodied ai
(3)
contrastive learning
(3)
human-robot collaboration
(2)
unsupervised learning
(2)
task planning
(2)
representation learning
(2)
3d generation
(2)
benchmark evaluation
(2)
neural radiance field
(2)
gaussian splatting
(2)
visual question answering
(2)
graph representation learning
(2)
dynamic scene
(2)
embodied agent
(2)
feature learning
(1)
multi-task learning
(1)
Papers
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception
CVPR 2025
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
ICML 2025
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
AAAI 2025
Maximum Total Correlation Reinforcement Learning
ICML 2025
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
ICML 2025
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
IJCAI 2025
ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments
EMNLP 2025
MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation
CVPR 2025
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
CVPR 2024
Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation
CORL 2024
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024
Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level
ACL 2024
Small Scale Data-Free Knowledge Distillation
CVPR 2024
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models
CVPR 2024
Text-to-3D using Gaussian Splatting
CVPR 2024
GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
CVPR 2024
Vision-Language Foundation Models as Effective Robot Imitators
ICLR 2024
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
Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration
RSS 2024
Mixed Neural Voxels for Fast Multi-view Video Synthesis
ICCV 2023
Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
NIPS 2023
Sim2Real Object-Centric Keypoint Detection and Description
AAAI 2022
Continual Learning with Recursive Gradient Optimization
ICLR 2022
Embodied Multi-Agent Task Planning from Ambiguous Instruction
RSS 2022
Evaluations of the Gap between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation Tasks
CORL 2021
Understanding the Behaviour of Contrastive Loss
CVPR 2021
MQA: Answering the Question via Robotic Manipulation
RSS 2021
Embodied Semantic Scene Graph Generation
CORL 2021
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
AAAI 2020
Unsupervised Representation Learning by Invariance Propagation
NIPS 2020
Multi-Agent Embodied Question Answering in Interactive Environments
ECCV 2020
Towards Embodied Scene Description
RSS 2020
Task Transfer by Preference-Based Cost Learning
AAAI 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
NIPS 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