activity
20162022
most citedRobust optimization for quantum reinforcement learning control using partial observations

11 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2024

ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation

Yijiang Xu, Hongrui Jia, Liguo Chen +8

Fuzz testing is crucial for identifying software vulnerabilities, with coverage-guided grey-box fuzzers like AFL and Angora excelling in broad detection. However, as the need for t…

quant-ph202211 cited

Robust optimization for quantum reinforcement learning control using partial observations

Chen Jiang, Yu Pan, Zheng-Guang Wu +2

The current quantum reinforcement learning control models often assume that the quantum states are known a priori for control optimization. However, full observation of quantum sta…

cs.CV20201 cited

Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging

Qing Gao, Mingtao Pei, Hongyu Shen

A healthy lifestyle is the key to better health and happiness and has a considerable effect on quality of life and disease prevention. Current lifelogging/egocentric datasets are n…

quant-ph2017

Self-to-self transitions in open quantum systems: the origin and solutions

Yaoxiong Wang, Ling Yang, Ying Wang +5

The information of quantum pathways can be extracted in the framework of the Hamiltonian-encoding and Observable-decoding method. For closed quantum systems, only off-diagonal elem…

astro-ph.HE20166 cited

Time-Variable Aluminum Absorption in the Polar AR Ursae Majoris, and an Updated Estimate for the Mass of the White Dwarf

Yu Bai, Stephen Justham, JiFeng Liu +3

We present spectra of the extreme polar AR Ursae Majoris (AR UMa) which display a clear Al I absorption doublet, alongside spectra taken less than a year earlier in which that feat…