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20212024
most citedNeural Parameterization for Dynamic Human Head Editing

12 citations · 15 across the 10 of their papers we have counts for

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10 papers

quant-ph2024

Hypergraph product code with 0.2 constant coding rate and high code capacity noise threshold

Zhengzhong Yi, Zhipeng Liang, Jiahan Chen +2

The low coding rate of quantum stabilizer codes results in formidable physical qubit overhead when realizing quantum error correcting in engineering. In this letter, we propose a n…

quant-ph2024

Determining the upper bound of code distance of quantum stabilizer codes through Monte Carlo method based on fully decoupled belief propagation

Zhipeng Liang, Zicheng Wang, Zhengzhong Yi +3

Code distance is an important parameter for quantum stabilizer codes (QSCs). Directly precisely computing it is an NP-complete problem. However, the upper bound of code distance ca…

quant-ph2024

Recursive expansion of Tanner graph: a method to construct stabilizer codes with high coding rate

Zhengzhong Yi, Zhipeng Liang, Zicheng Wang +4

Quantum stabilizer codes face the problem of low coding rate. In this article, following the idea of recursively expanding Tanner graph proposed in our previous work, we try to con…

cs.CV20231 cited

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization

Hao Fang, Bin Chen, Xuan Wang +2

Federated Learning (FL) has recently emerged as a promising distributed machine learning framework to preserve clients' privacy, by allowing multiple clients to upload the gradient…

cs.SE2023

ConFL: Constraint-guided Fuzzing for Machine Learning Framework

Zhao Liu, Quanchen Zou, Tian Yu +4

As machine learning gains prominence in various sectors of society for automated decision-making, concerns have risen regarding potential vulnerabilities in machine learning (ML) f…

cs.CV20232 cited

Local Implicit Ray Function for Generalizable Radiance Field Representation

Xin Huang, Qi Zhang, Ying Feng +3

We propose LIRF (Local Implicit Ray Function), a generalizable neural rendering approach for novel view rendering. Current generalizable neural radiance fields (NeRF) methods sampl…