Zhi Gao
16 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
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Keywords
continual learning
(3)
riemannian optimization
(3)
metric learning
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manifold learning
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few-shot learning
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visual question answering
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hyperbolic space
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manifold optimization
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gradient-based optimization
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matrix factorization
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link prediction
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graph classification
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representation learning
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implicit differentiation
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computer vision
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constrained optimization
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neural network optimization
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multi-modal learning
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domain generalization
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image classification
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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
NIPS 2024
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
ECCV 2024
Meta-Causal Learning for Single Domain Generalization
CVPR 2023
Exploring Data Geometry for Continual Learning
CVPR 2023
Efficient Riemannian Meta-Optimization by Implicit Differentiation
AAAI 2022
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
NIPS 2022
Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination
ECCV 2022
Curvature Generation in Curved Spaces for Few-Shot Learning
ICCV 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
CVPR 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
AAAI 2021
Revisiting Bilinear Pooling: A Coding Perspective
AAAI 2020
Learning to Optimize on SPD Manifolds
CVPR 2020