Tianhao Wang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024
PrivShieldROS: An Extended Robot Operating System Integrating Ethereum and Interplanetary File System for Enhanced Sensor Data Privacy.
Sensors, May, 2024

Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder.
Neural Process. Lett., February, 2024

Dissecting the role of ALK double mutations in drug resistance to lorlatinib with in-depth theoretical modeling and analysis.
Comput. Biol. Medicine, February, 2024

Does Differential Privacy Impact Bias in Pretrained Language Models?
IEEE Data Eng. Bull., 2024

Does Differential Privacy Impact Bias in Pretrained NLP Models?
CoRR, 2024

Neural Scoring, Not Embedding: A Novel Framework for Robust Speaker Verification.
CoRR, 2024

Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning.
CoRR, 2024

Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers.
CoRR, 2024

Learning Interpretable Fair Representations.
CoRR, 2024

SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker Recognition.
CoRR, 2024

Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks.
CoRR, 2024

Towards a Fault-Injection Benchmarking Suite.
CoRR, 2024

Implicit Regularization of Gradient Flow on One-Layer Softmax Attention.
CoRR, 2024

In-depth theoretical modeling to explore the mechanism of TPX-0131 overcoming lorlatinib resistance to ALKL1196M/G1202R mutation.
Comput. Biol. Medicine, 2024

Structure-based virtual screening of novel USP5 inhibitors targeting the zinc finger ubiquitin-binding domain.
Comput. Biol. Medicine, 2024

A multi-domain dual-stream network for hyperspectral unmixing.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Two-Stage Multi-scale Feature Fusion for Small Medical Object Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Towards Certified Unlearning for Deep Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

How Phonemes Contribute to Deep Speaker Models?
Proceedings of the IEEE International Conference on Acoustics, 2024

One Flag to Rule Them All? On the Quest for Compiler Optimizations to Improve Fault Tolerance.
Proceedings of the 19th European Dependable Computing Conference, 2024

Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract).
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Benchmarking Secure Sampling Protocols for Differential Privacy.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Intelligent Recognition of Antigen Detection Reagent for Corona virus based on Improved Text Recognition.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

A feature-matching algorithm for web data based on word vector space indexing.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Deep Learning Cognitive Diagnostic Model Based on State Machines and Knowledge Graphs.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Real-time analysis of Intra-pulse characteristics based on instantaneous frequency.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022


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