Dongsheng Wang
6 papers in the PaperMetrix corpus
Papers by this author
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Determining the computational power of symmetry protected topological phases
2016 · arXiv (Cornell University)
We identify certain classes of 1D symmetry-protected topological (SPT) phases in which almost every state is universal for measurement based quantum computation (MBQC) in 1D. By developing a general scheme to extract the useful entanglement …
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Multi-Head Self-Attention with Role-Guided Masks
2020 · arXiv (Cornell University)
The state of the art in learning meaningful semantic representations of words is the Transformer model and its attention mechanisms. Simply put, the attention mechanisms learn to attend to specific parts of the input dispensing …
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Model Checking for Microarchitectural Data Sampling Security
2022
A new class of transient execution-based attacks, as known as Microarchitectural Data Sampling (MDS), were discovered in recent studies, such as RIDL, Fallout, and ZombieLoad, which have imposed severe threats to general-purpose processors. In MDS …
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PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
2023
Multi-label image classification is a prediction task that aims to identify more than one label from a given image. This paper considers the semantic consistency of the latent space between the visual patch and linguistic …
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VeriCache: Formally Verified Fine-Grained Partitioned Cache for Side-Channel-Secure Enclaves
2025 · IEEE Transactions on Dependable and Secure Computing
Cache side-channel attacks significantly threaten the security of TEE-enabled secure architectures such as Intel SGX due to the shared cache resources between the attacker and victim processes. Fine-grained partitioned caches are presented to prevent these …
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AI Pangaea: Unifying Intelligence Islands for Adapting Myriad Tasks
2025 · arXiv (Cornell University)
The pursuit of artificial general intelligence continuously demands generalization in one model across myriad tasks, even those not seen before. However, current AI models are isolated from each other for being limited to specific tasks, …