Haolin Liu
17 papers · 2020–2026 · 7 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.
Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(96)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Computer Vision
(8)
Deep Learning
(7)
Analysis
(7)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core AI
(4)
Core Methods
(4)
Generation
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Keywords
regret bound
(3)
diffusion model
(3)
3d vision
(2)
bandit feedback
(2)
knowledge distillation
(2)
point cloud
(2)
linear bandit
(2)
3d reconstruction
(2)
adversarial loss
(2)
image generation
(1)
object detection
(1)
adversarial learning
(1)
sample complexity
(1)
reinforcement learning
(1)
scene understanding
(1)
game theory
(1)
metric learning
(1)
referring expression
(1)
instance segmentation
(1)
domain adaptation
(1)
Papers
LATTICE: Democratize High-Fidelity 3D Generation at Scale
CVPR 2026
Stable and Efficient Single-Rollout RL for Multimodal Reasoning
CVPR 2026
Decision Making in Hybrid Environments: A Model Aggregation Approach
COLT 2025
Sample Complexity of Linear Regression Models for Opinion Formation in Networks
AAAI 2025
Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence
CVPR 2025
Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion
ICCV 2025
Unleashing Vecset Diffusion Model for Fast Shape Generation
ICCV 2025
Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback
NeurIPS 2024
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
NeurIPS 2024
LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset
CVPR 2024
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
ICLR 2024
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits
NeurIPS 2023
MVImgNet: A Large-Scale Dataset of Multi-View Images
CVPR 2023
TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes
ECCV 2022
Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes
ECCV 2022
Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images
CVPR 2021
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition
AAAI 2020