1 citations · 1 across the 5 of their papers we have counts for
5 papers
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
Chuangtao Chen, Qinglin Zhao, MengChu Zhou +3
Discrete diffusion models represent a significant advance in generative modeling, demonstrating remarkable success in synthesizing complex, high-quality discrete data. However, to…
Continuous-variable Quantum Diffusion Model for State Generation and Restoration
Haitao Huang, Chuangtao Chen, Qinglin Zhao
The generation and preservation of complex quantum states against environmental noise are paramount challenges in advancing continuous-variable (CV) quantum information processing.…
Across-Platform Detection of Malicious Cryptocurrency Transactions via Account Interaction Learning
Zheng Che, Meng Shen, Zhehui Tan +6
With the rapid evolution of Web3.0, cryptocurrency has become a cornerstone of decentralized finance. While these digital assets enable efficient and borderless financial transacti…
EVeCA: Efficient and Verifiable On-Chain Data Query Framework Using Challenge-Based Authentication
Meng Shen, Yuzhi Liu, Qinglin Zhao +4
As blockchain applications become increasingly widespread, there is a rising demand for on-chain data queries. However, existing schemes for on-chain data queries face a challenge…
Deep Joint Source-Channel Coding for Efficient and Reliable Cross-Technology Communication
Shumin Yao, Xiaodong Xu, Hao Chen +2
Cross-technology communication (CTC) is a promising technique that enables direct communications among incompatible wireless technologies without needing hardware modification. How…