Yunhao Yang

Orcid: 0000-0002-7199-2508

According to our database1, Yunhao Yang authored at least 26 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Ciphertext Reduction Scheme for Garbling an S-Box in an AES Circuit with Minimal Online Time.
Symmetry, June, 2024

Reasoning, Memorization, and Fine-Tuning Language Models for Non-Cooperative Games.
CoRR, 2024

Joint Verification and Refinement of Language Models for Safety-Constrained Planning.
CoRR, 2024

Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models.
CoRR, 2024

Neuro-Symbolic Video Search.
CoRR, 2024

Fine-Tuning Language Models Using Formal Methods Feedback: A Use Case in Autonomous Systems.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Towards Neuro-Symbolic Video Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024

Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models.
Proc. Priv. Enhancing Technol., January, 2023

Fine-Tuning Language Models Using Formal Methods Feedback.
CoRR, 2023

Specification-Driven Video Search via Foundation Models and Formal Verification.
CoRR, 2023

On the Planning, Search, and Memorization Capabilities of Large Language Models.
CoRR, 2023

Multimodal Pretrained Models for Sequential Decision-Making: Synthesis, Verification, Grounding, and Perception.
CoRR, 2023

Microservice Indicator Prediction Method Based on STE and CNN-BiLSTM.
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022
Learning Automata-Based Task Knowledge Representation from Large-Scale Generative Language Models.
CoRR, 2022

Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning.
CoRR, 2022

Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq Model.
Proceedings of the Intelligent Systems and Applications, 2022

2021
Recursive Self-Improvement for Camera Image and Signal Processing Pipeline.
CoRR, 2021

On The Vulnerability of Recurrent Neural Networks to Membership Inference Attacks.
CoRR, 2021

Enhancing Latent Space Clustering in Multi-filter Seq2Seq Model: A Reinforcement Learning Approach.
CoRR, 2021

Representation Learning in Sequence to Sequence Tasks: Multi-filter Gaussian Mixture Autoencoder.
CoRR, 2021

Learning Deep Latent Subspaces for Image Denoising.
CoRR, 2021

2020
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder.
CoRR, 2020

A Survey on Reinforcement Learning for Combinatorial Optimization.
CoRR, 2020

Approximating Boolean Functions with Disjunctive Normal Form.
CoRR, 2020

A Poisoning Attack Against the Recognition Model Trained by the Data Augmentation Method.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020


  Loading...