Ziwei Zheng

Orcid: 0009-0000-4896-3293

According to our database1, Ziwei Zheng authored at least 34 papers between 2016 and 2026.

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Bibliography

2026
A Simple and Effective Architecture Selection Method for Differentiable Architecture Search.
IEEE Trans. Artif. Intell., April, 2026

Systematic Characterization of Minimal Deep Learning Architectures: A Unified Analysis of Convergence, Pruning, and Quantization.
CoRR, January, 2026

Experience-driven Multi-turn Reinforcement Learning for GUI Agents.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
When Average Delay Optimization Meets Deterministic Delay Constraint: A Renewal Framework for Resource Allocation.
IEEE Trans. Commun., December, 2025

UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning.
CoRR, September, 2025

Mobile-Agent-v3: Fundamental Agents for GUI Automation.
CoRR, August, 2025

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations.
CoRR, May, 2025

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.
CoRR, May, 2025

Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models.
CoRR, January, 2025

HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

LVLM-FDA: Protecting Large Vision-Language Models via Fast Detection of Malicious Attempts.
Proceedings of the Knowledge Science, Engineering and Management, 2025

DeepCatl: A Combination of Channel Attention Mechanism and Transformer Encoding to Predict Transcription Factor Binding Sites.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Retransmission Aware Adaptive Modulation and Coding Toward Deterministic Delay Performance.
IEEE Trans. Wirel. Commun., November, 2024

OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength.
IEEE Trans. Cybern., November, 2024

Dynamic Spatial Focus for Efficient Compressed Video Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks.
IEEE Trans. Cogn. Dev. Syst., February, 2024

A granularity-level information fusion strategy on hypergraph transformer for predicting synergistic effects of anticancer drugs.
Briefings Bioinform., January, 2024

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models.
CoRR, 2024

Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection.
CoRR, 2024

Adaptive Modulation and Coding for URLLC Retransmission.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Decision Tree Based Automated Detection of Breast Cancer.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

Bias-Rectified Multi-way Learning with Data Augmentation for Implicit Discourse Relation Recognition.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Fine-Grained Dynamic Network for Generic Event Boundary Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

DyFADet: Dynamic Feature Aggregation for Temporal Action Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

2022
Anomaly Detection based on Broad Leaning System for Rolling Element Bearing Fault Diagnosis.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021
Frame-Level Video Caching and Transmission Scheduling via Stochastic Learning.
Proceedings of the IEEE Global Communications Conference, 2021

AD-DARTS: Adaptive Dropout for Differentiable Architecture Search.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Max-Plus Approach Based Intelligent Coordinated Transmission for Robot Swarms.
IEEE Access, 2020

2016
Graph-Based Multi-Modality Learning for Clinical Decision Support.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


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