Zhi Gao

Orcid: 0000-0002-4424-4352

Affiliations:
  • Beijing Institute of Technology, China


According to our database1, Zhi Gao authored at least 52 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Riemannian Implicit Differentiation via a Fixed-Point Equation for Riemannian Bilevel Optimization.
IEEE Trans. Neural Networks Learn. Syst., April, 2026

Benchmarking and Improving GUI Agents in High-Dynamic Environments.
CoRR, April, 2026

GUIDE: Resolving Domain Bias in GUI Agents through Real-Time Web Video Retrieval and Plug-and-Play Annotation.
CoRR, March, 2026

Facial Expression Generation Aligned with Human Preference for Natural Dyadic Interaction.
CoRR, March, 2026

Enhancing Web Agents with a Hierarchical Memory Tree.
CoRR, March, 2026

MIRROR: Multimodal Iterative Reasoning via Reflection on Visual Regions.
CoRR, February, 2026

AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process.
CoRR, February, 2026

Simulate, Refocus and Ensemble: An Attention-Refocusing Scheme for Domain Generalization.
IEEE Trans. Multim., 2026

TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Curvature Learning for Generalization of Hyperbolic Neural Networks.
Int. J. Comput. Vis., December, 2025

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds.
CoRR, October, 2025

GUI Knowledge Bench: Revealing the Knowledge Gap Behind VLM Failures in GUI Tasks.
CoRR, October, 2025

Multi-Step Reasoning for Embodied Question Answering via Tool Augmentation.
CoRR, October, 2025

KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints.
CoRR, October, 2025

Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation.
CoRR, September, 2025

Adaptive Model Ensemble for Continual Learning.
CoRR, September, 2025

Long-Horizon Visual Imitation Learning via Plan and Code Reflection.
CoRR, September, 2025

Geometry-aware Distance Measure for Diverse Hierarchical Structures in Hyperbolic Spaces.
CoRR, June, 2025

A Set-to-Set Distance Measure in Hyperbolic Space.
CoRR, June, 2025

Hyperbolic Dual Feature Augmentation for Open-Environment.
CoRR, June, 2025

When Large Multimodal Models Confront Evolving Knowledge:Challenges and Pathways.
CoRR, May, 2025

Chain-of-Focus: Adaptive Visual Search and Zooming for Multimodal Reasoning via RL.
CoRR, May, 2025

Memory-Centric Embodied Question Answer.
CoRR, May, 2025

Iterative Trajectory Exploration for Multimodal Agents.
CoRR, April, 2025

TongUI: Building Generalized GUI Agents by Learning from Multimodal Web Tutorials.
CoRR, April, 2025

Building LLM Agents by Incorporating Insights from Computer Systems.
CoRR, April, 2025

Large-scale Riemannian meta-optimization via subspace adaptation.
Comput. Vis. Image Underst., 2025

Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding.
CoRR, 2024

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

🤖 VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024

CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Geometry-adaptive Meta-learning in Riemannian Manifolds.
Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2023
Learning to Optimize on Riemannian Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Exploring Data Geometry for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Meta-Causal Learning for Single Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Infinite-dimensional feature aggregation via a factorized bilinear model.
Pattern Recognit., 2022

Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Riemannian Meta-Optimization by Implicit Differentiation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Curvature Generation in Curved Spaces for Few-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Hyperbolic-to-Hyperbolic Graph Convolutional Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning a Gradient-free Riemannian Optimizer on Tangent Spaces.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold.
IEEE Trans. Neural Networks Learn. Syst., 2020

Learning to Optimize on SPD Manifolds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Revisiting Bilinear Pooling: A Coding Perspective.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning a robust representation via a deep network on symmetric positive definite manifolds.
Pattern Recognit., 2019

Deep convolutional network with locality and sparsity constraints for texture classification.
Pattern Recognit., 2019

2018
Set-to-Set Distance Metric Learning on SPD Manifolds.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds.
CoRR, 2017


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