A5100681170- Wastewater Treatment and Nitrogen Removal
- Statistical Methods and Inference
- Sparse and Compressive Sensing Techniques
- Constructed Wetlands for Wastewater Treatment
- Opinion Dynamics and Social Influence
- Phosphorus and nutrient management
- Microbial Community Ecology and Physiology
- Atomic and Subatomic Physics Research
- Advanced Text Analysis Techniques
- Reinforcement Learning in Robotics
- Ammonia Synthesis and Nitrogen Reduction
- Advanced Statistical Methods and Models
- Photonic and Optical Devices
- Quantum optics and atomic interactions
- Control Systems and Identification
- Metabolomics and Mass Spectrometry Studies
- IoT-based Smart Home Systems
- Gene Regulatory Network Analysis
- Mass Spectrometry Techniques and Applications
- Face and Expression Recognition
- Bayesian Modeling and Causal Inference
- Opportunistic and Delay-Tolerant Networks
- Analytical Chemistry and Chromatography
- Microbial Fuel Cells and Bioremediation
- Quantum Computing Algorithms and Architecture
Peking University
2025
City University of Hong Kong
2021-2024
Wuhan University of Technology
2019-2021
Donghua University
2019
Northwest Institute of Mechanical and Electrical Engineering
2013
Virginia Tech
2011
Abstract An optical frequency comb comprises a cluster of equally spaced, phase-locked spectral lines. Replacing these classical components with correlated quantum light gives rise to combs, providing abundant resources for measurement-based computation, and multi-user networks. We propose generate microcombs within an on-chip microresonator driven by multi-frequency lasers. Through resonantly enhanced four-wave mixing processes, continuous-variable states 60 qumodes are deterministically...
We study how the divide and conquer principle works in high-dimensional partially linear additive models when dimension of part is large compared to sample size. find that a two-stage approach well this setting. Using lasso penalty, first debiased profiled estimator for averaged obtain an has optimal rate, which further thresholded recover sparsity after averaging. In second stage, estimates nonparametric functions are obtained plugging estimate. Under mild assumptions, achieved oracle...
Aiming at the defects of random update and poor stability COPRA algorithm, this paper proposes an overlapping community discovery algorithm based on label propagation (COLBN). The calculates value node by traversing each node, finds reference to determine number divided communities. Then, is used for adjacent identify can be when all nodes are found. This makes use network dataset bottlenose dolphins in Magic Bay book American politics, comparison test which proves that COLBN significantly...
Abstract We propose the total variation penalized sparse additive support vector machine (TVSAM) for performing classification in high-dimensional settings, using a mixed $l_{1}$-type functional regularization scheme to induce sparsity and smoothness simultaneously. establish representer theorem TVSAM, which turns infinite-dimensional problem into finite-dimensional one, thereby providing computational feasibility. Even least squares loss, our result fills gap literature when compared with...
Increasing the number of entangled entities is crucial for achieving exponential computational speedups and secure quantum networks. Despite recent progress in generating large-scale entanglement through continuous-variable (CV) cluster states, translating these technologies to photonic chips has been hindered by decoherence, limiting 8. Here, we demonstrate 60-mode CVcluster states a chip-based optical microresonator pumped chromatic lasers. Resonantly-enhanced four-wave mixing processes...
We experimentally demonstrate entangled qumodes in an optical microresonator with bichromatic pumping. They form a 2-dimensional continuous-variable cluster state via several four-wave mixing processes.
Gas leak is one of the main reasons causing accidents in petrochemical industry. The effective technical means for timely, accuracy monitoring gas imperative accident prevention. With recent advances wireless communication and embedded computing technologies, systems (GLMS) incorporated with sensor networks (WSNs) have become practically feasible. A scenario ZigBee WSN GPRS ultrasonic detection (UGLD) proposed to provide continuous, timely reliable analysis parameters increased sensitivity...
Controlling the global statuses of a network by its local dynamic parameters is an important issue, and it difficult to obtain direct solution for. The transformation method, which originally used control physical field designing material parameters, proposed necessary when system are prescribed in space. feasibility this method demonstrated verified two examples (a communication cloak bender) system. It shown that state can be controlled adjusting nodes dynamics with method. Simulation...
A Bayesian alignment model (BAM) is proposed for of liquid chromatography-mass spectrometry (LC-MS) data. BAM composed two important components: prototype function and mapping function. Estimation both functions crucial the result. We use Markov chain Monte Carlo (MCMC) methods inference parameters. To address trapping effect in local modes, we propose a block Metropolis-Hastings algorithm that leads to better mixing behavior updating coefficients. applied simulated real LC-MS datasets,...
Statistical inference for precision matrix is of fundamental importance nowadays learning conditional dependence structure in high-dimensional graphical models. Despite the fast growing literature, how to develop scalable with insensitive tuning regularization parameters still remains unclear high dimensions. In this paper, we a new method called constrained projection (GCPI) test individual entry and efficient way. The proposed statistics are based on space yielded by certain screening...