Zhi Gao
16 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
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(10)
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Keyword Collector
(68)
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Century Club Β· Bronze
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Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Deep Learning
(6)
Core AI
(6)
Mathematics & Optimization
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Core Methods
(3)
Learning Paradigms Β· Machine Learning
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Learning Types Β· Machine Learning
(3)
Optimization
(3)
Natural Language Processing
(2)
Application Areas
(2)
Architectures
(2)
Keywords
riemannian optimization
(3)
continual learning
(3)
metric learning
(2)
manifold optimization
(2)
few-shot learning
(2)
visual question answering
(2)
hyperbolic space
(2)
vision-language model
(2)
large language model
(2)
manifold learning
(2)
tool usage
(2)
multimodal learning
(2)
gradient-based optimization
(1)
graph classification
(1)
matrix factorization
(1)
link prediction
(1)
representation learning
(1)
computer vision
(1)
constrained optimization
(1)
neural network optimization
(1)
Papers
TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents
AAAI 2026
MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge
ICLR 2025
Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage
ICLR 2025
CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
CVPR 2024
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
NeurIPS 2024
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
ECCV 2024
Exploring Data Geometry for Continual Learning
CVPR 2023
Meta-Causal Learning for Single Domain Generalization
CVPR 2023
Efficient Riemannian Meta-Optimization by Implicit Differentiation
AAAI 2022
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
NeurIPS 2022
Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination
ECCV 2022
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
CVPR 2021
Curvature Generation in Curved Spaces for Few-Shot Learning
ICCV 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
AAAI 2021
Learning to Optimize on SPD Manifolds
CVPR 2020
Revisiting Bilinear Pooling: A Coding Perspective
AAAI 2020