Kaiwen Zhou

Orcid: 0000-0002-3088-8085

Affiliations:

Huawei Noah's Ark Lab, Shenzhen, China
Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (PhD 2022)

According to our database¹, Kaiwen Zhou authored at least 56 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

EE-MCP: Self-Evolving MCP-GUI Agents via Automated Environment Generation and Experience Learning.

[BibT_eX]

[DOI]

CoRR, April, 2026

A Unified Perspective on Adversarial Membership Manipulation in Vision Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

HATS: Hardness-Aware Trajectory Synthesis for GUI Agents.

[BibT_eX]

[DOI]

CoRR, March, 2026

A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HiconAgent: History Context-aware Policy Optimization for GUI Agents.

[BibT_eX]

[DOI]

CoRR, December, 2025

Consistency Flow Model Achieves One-step Denoising Error Correction Codes.

[BibT_eX]

[DOI]

CoRR, December, 2025

A<sup>2</sup>Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators.

[BibT_eX]

[DOI]

CoRR, November, 2025

More than A Point: Capturing Uncertainty with Adaptive Affordance Heatmaps for Spatial Grounding in Robotic Tasks.

[BibT_eX]

[DOI]

CoRR, October, 2025

Uncertainty-Aware GUI Agent: Adaptive Perception through Component Recommendation and Human-in-the-Loop Refinement.

[BibT_eX]

[DOI]

Chao Hao

Shuai Wang

Kaiwen Zhou

CoRR, August, 2025

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills.

[BibT_eX]

[DOI]

CoRR, June, 2025

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents.

[BibT_eX]

[DOI]

CoRR, May, 2025

VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT.

[BibT_eX]

[DOI]

CoRR, April, 2025

Generative Models in Decision Making: A Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling.

[BibT_eX]

[DOI]

CoRR, February, 2025

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers.

[BibT_eX]

[DOI]

CoRR, January, 2025

MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FALCON: Resolving Visual Redundancy and Fragmentation in High-Resolution Multimodal Large Language Models via Visual Registers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Less is More: Empowering GUI Agent with Context-Aware Simplification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Efficient private SCO for heavy-tailed data via averaged clipping.

[BibT_eX]

[DOI]

Mach. Learn., December, 2024

Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration.

[BibT_eX]

[DOI]

CoRR, 2024

HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Neural Subset Selection: Integrating Background Information into Set Representations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Evolving Domain Generalization through Dynamic Latent Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Understanding Feature Learning in Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding and Improving Feature Learning for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Novel Extrapolation Technique to Accelerate WMMSE.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Efficient Private SCO for Heavy-Tailed Data via Clipping.

[BibT_eX]

[DOI]

CoRR, 2022

Pareto Invariant Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2022

An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms.

[BibT_eX]

[DOI]

CoRR, 2022

On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions.

[BibT_eX]

[DOI]

Lai Tian

Kaiwen Zhou

Anthony Man-Cho So

Proceedings of the International Conference on Machine Learning, 2022

Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization.

[BibT_eX]

[DOI]

Kaiwen Zhou

Anthony Man-Cho So

James Cheng

CoRR, 2021

Local Reweighting for Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2021

2020

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Edit Distance Embedding using Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Convolutional Embedding for Edit Distance.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates.

[BibT_eX]

[DOI]

Kaiwen Zhou

Anthony Man-Cho So

James Cheng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Tight Convergence Rate of Gradient Descent for Eigenvalue Computation.

[BibT_eX]

[DOI]

Qinghua Ding

Kaiwen Zhou

James Cheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Direct Acceleration of SAGA using Sampled Negative Momentum.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS).

[BibT_eX]

[DOI]

CoRR, 2018

Direct Acceleration of SAGA using Sampled Negative Momentum.

[BibT_eX]

[DOI]

Kaiwen Zhou

CoRR, 2018

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2018

A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates.

[BibT_eX]

[DOI]

Kaiwen Zhou

Fanhua Shang

James Cheng

Proceedings of the 35th International Conference on Machine Learning, 2018

Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

ASVRG: Accelerated Proximal SVRG.

[BibT_eX]

[DOI]

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Kaiwen Zhou

Timeline

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Bibliography

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