138 citations · 224 across the 9 of their papers we have counts for
9 papers
Recovery of a generic local Hamiltonian from a degenerate steady state
Jing Zhou, D. L. Zhou
Hamiltonian Learning (HL) is essential for validating quantum systems in quantum computing. Not all Hamiltonians can be uniquely recovered from a steady state. HL success depends o…
An interpretability framework for Similar case matching
Nankai Lin, Haonan Liu, Jiajun Fang +2
Similar Case Matching (SCM) plays a pivotal role in the legal system by facilitating the efficient identification of similar cases for legal professionals. While previous research…
Utilizing Parallelism in Smart Contracts on Decentralized Blockchains by Taming Application-Inherent Conflicts
Péter Garamvölgyi, Yuxi Liu, Dong Zhou +2
Traditional public blockchain systems typically had very limited transaction throughput because of the bottleneck of the consensus protocol itself. With recent advances in consensu…
GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection
Xiaolei Hua, Lin Zhu, Shenglin Zhang +5
The reliability of wireless base stations in China Mobile is of vital importance, because the cell phone users are connected to the stations and the behaviors of the stations are d…
When can a local Hamiltonian be recovered from a steady state?
Jing Zhou, D. L. Zhou
With the development of quantum many-body simulator, Hamiltonian tomography has become an increasingly important technique for verification of quantum devices. Here we investigate…
Qlib: An AI-oriented Quantitative Investment Platform
Xiao Yang, Weiqing Liu, Dong Zhou +2
Quantitative investment aims to maximize the return and minimize the risk in a sequential trading period over a set of financial instruments. Recently, inspired by rapid developmen…
Improved Earthquake Forecasting Model Based on Long-term Memory in Earthquake
Yongwen Zhang, Dong Zhou, Jingfang Fan +3
A prominent feature of earthquakes is their empirical laws including memory (clustering) in time and space. Several earthquake forecasting models, like the EpidemicType Aftershock…
Dependency-based targeted attacks in interdependent networks
Dong Zhou, Amir Bashan
Modern large network systems normally work in cooperation and incorporate dependencies between their components for purposes of efficiency and regulation. Such dependencies may bec…
Scaling Nakamoto Consensus to Thousands of Transactions per Second
Chenxing Li, Peilun Li, Dong Zhou +3
This paper presents Conflux, a fast, scalable and decentralized blockchain system that optimistically process concurrent blocks without discarding any as forks. The Conflux consens…