A5100349811- Distributed Control Multi-Agent Systems
- Target Tracking and Data Fusion in Sensor Networks
- Stochastic Gradient Optimization Techniques
- Sparse and Compressive Sensing Techniques
- Cooperative Communication and Network Coding
- Advanced Wireless Communication Techniques
- Neural Networks Stability and Synchronization
- Energy Efficient Wireless Sensor Networks
- Wireless Communication Networks Research
- Network Security and Intrusion Detection
- Advanced Wireless Network Optimization
- Software System Performance and Reliability
- Parallel Computing and Optimization Techniques
- Advanced MIMO Systems Optimization
- Distributed Sensor Networks and Detection Algorithms
- Fault Detection and Control Systems
- Reinforcement Learning in Robotics
- Cryptography and Data Security
- Microgrid Control and Optimization
- Privacy-Preserving Technologies in Data
- Software Engineering Research
- Advanced Measurement and Detection Methods
- Integrated Energy Systems Optimization
- Coding theory and cryptography
- Power Systems and Renewable Energy
Peking University
2013-2025
Hangzhou Medical College
2025
Zhejiang Provincial People's Hospital
2025
Southern Medical University
2025
Wuhan University
2025
Tsinghua University
2015-2024
Second Hospital of Liaohe Oilfield
2024
Tsinghua–Berkeley Shenzhen Institute
2024
Xidian University
2021-2024
University of Münster
2022-2024
Of the different branches of indoor localization research, WiFi fingerprinting has drawn significant attention over past decade. These systems function by comparing received signal strength indicator (RSSI) and a pre-established location-specific fingerprint map. However, due to time-variant wireless strength, RSSI map needs be calibrated periodically, incurring high labor time costs. In addition, biased measurements across devices along with transmission power control techniques routers...
The proposed working mechanism of the electrochemical CO<sub>2</sub> reduction reaction on Fe<sub>1</sub>N<sub>4</sub>, Fe<sub>1</sub>N<sub>4</sub>–N<sub>1</sub>, and Fe<sub>1</sub>N<sub>4</sub>–O<sub>1</sub> active sites.
Similar to software bugs, configuration errors are also one of the major causes today's system failures. Many issues manifest themselves in ways similar bugs such as crashes, hangs, silent It leaves users clueless and forced report developers for technical support, wasting not only users' but developers' precious time effort. Unfortunately, unlike many take a much less active, responsible role handling because "they faults."
Many synchronizations in existing multi-threaded programs are implemented an ad hoc way. The first part of this paper does a comprehensive characteristic study concurrent programs. By studying 229 12 various types (server, desktop and scientific), including Apache, MySQL, Mozilla, etc., we find several interesting perhaps alarming characteristics: (1) Every studied application uses synchronizations. Specifically, there 6-83 each program. (2) Ad error-prone. Significant percentages (22-67%)...
In this paper, we consider efficient differentially private empirical risk minimization from the viewpoint of optimization algorithms. For strongly convex and smooth objectives, prove that gradient descent with output perturbation not only achieves nearly optimal utility, but also significantly improves running time previous state-of-the-art algorithms, for both $\epsilon$-DP $(\epsilon, \delta)$-DP. non-convex propose an RRPSGD (Random Round Private Stochastic Gradient Descent) algorithm,...
As software systems become more complex and configurable, failures due to misconfigurations are becoming a critical problem. Such often have serious functionality, security financial consequences. Further, diagnosis remediation for such require reasoning across the stack its operating environment, making it difficult costly. We present framework tool called EnCore automatically detect misconfigurations. takes into account two important factors that unexploited before: interaction between...
This paper proposes a novel exact asynchronous subgradient-push algorithm (AsySPA) to solve an additive cost optimization problem over digraphs where each node only has access local convex function and updates asynchronously with arbitrary rate. Specifically, of strongly connected digraph does not wait for from other nodes but simply starts new update within any bounded time interval by using information available its in-neighbors. "Exact" means that every the AsySPA can asymptotically...
This paper proposes distributed discrete-time algorithms to cooperatively solve an additive cost optimization problem in multi-agent networks. The striking feature lies the use of only sign relative state information between neighbors, which substantially differentiates our from others existing literature. We first interpret proposed terms penalty method theory and then perform non-asymptotic analysis study convergence for static network graphs. Compared with celebrated subgradient...
This paper proposes a distributed dual gradient tracking algorithm (DDGT) to solve resource allocation problems over an unbalanced network, where each node in the network holds private cost function and computes optimal by interacting only with its neighboring nodes. Our key idea is novel use of push-pull (PPG) problem problem. To study convergence DDGT, we first establish sublinear rate PPG for non-convex objective functions, which advances existing results on as they require...
Background Dendritic cell (DC)-mediated antigen presentation is essential for the priming and activation of tumor-specific T cells. However, few drugs that specifically manipulate DC functions are available. The identification targeting holds great promise cancer immunotherapy. Methods We observed type 1 conventional DCs (cDC1s) initiated a distinct transcriptional program during presentation. used network-based approach to screen cDC1-targeting therapeutics. antitumor potency underlying...
This paper studies the state estimation problem of a stochastic nonlinear system with unknown sensor measurement losses. If estimator knows losses linear Gaussian system, minimum variance estimate is easily computed by celebrated intermittent Kalman filter (IKF). However, this will no longer be case when are and/or or non-Gaussian. By exploiting binary property loss process and IKF, we design three suboptimal filters for estimation, that is, BKF-I, BKF-II, RBPF. The BKF-I based on MAP BKF-II...
Metal single-atom catalysts are promising in electrochemical CO2 reduction reaction (CO2 RR). The pores and cavities of the supports can promote exposure active sites mass transfer reactants, hence improve their performance. Here, iron oxalate is added to ZIF-8 subsequently form hollow carbon nanocages during calcination. formation mechanism structure studied depth by controlling variables synthesis. Kirkendall effect main reason for porous nanocages. with Fe single atoms exhibit better RR...
This paper investigates a new type of subsynchronous oscillation (SSO) event observed in real-world doubly fed induction generator (DFIG)-based wind power plant (WPP) connected to multiterminal dc (MTDC) grid Northern China. The system under study is unique and, date, the world's largest four-terminal DC transmission network, which connects far-away and photovoltaic plants regional load centers. For first time, this utilized field-measured data analyze characteristics reveal underlying...
Information compression is essential to reduce communication cost in distributed optimization over peer-to-peer networks. This article proposes a communication-efficient linearly convergent (COLD) algorithm solve strongly convex problems. By compressing innovation vectors, which are the differences between decision vectors and their estimates, COLD achieves linear convergence for class of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Developing precious metal-free catalysts for organic reactions under mild conditions is urgent. Herein, we report a three-dimensional covalent framework (3D-COF) with high crystallinity and permanent pores, termed 3D-TABPA-COF, the oxidation of tetrahydroquinoline to quinoline. The 3D-TABPA-COF assembled based on N4,N4-bis(4′-amino-[1,1′-biphenyl]-4-yl)-[1,1′-biphenyl]-4,4′-diamine (TABPA) catalytic active center conversion tetrahydroquinoline. triphenylamine in structure an effective...
Human activities and global climate change have greatly increased nitrogen (N) phosphorus (P) inputs altered precipitation patterns in alpine meadows. Functional genes are important indicators of microorganisms that drive the cycling process; however, functional gene responses soil to N P availability drought remain unclear. Separate or combined treatments fertilization were conducted on Zoige Wetland Qinghai-Tibet Plateau, abundances nitrification AOA amoA AOB denitrification nirS, nirK,...
This article proposes a flight controller for an unmanned aerial vehicle (UAV) to loiter over ground moving target (GMT). We are concerned with the scenario that stochastically time-varying maneuver of GMT is unknown UAV, which renders it challenging estimate GMT's motion state. Assuming state available, we first design discrete-time Lyapunov vector field loitering guidance and then integral sliding mode control (ISMC) track commands. By modeling process as finite-state Markov chain, propose...
This paper studies a decentralized stochastic gradient tracking (DSGT) algorithm for non-convex empirical risk minimization problems over peer-to-peer network of nodes, which is in sharp contrast to the existing DSGT only convex problems. To ensure exact convergence and handle variance among datasets, each node performs (SG) step by using mini-batch samples, where batch size designed be proportional local dataset. We explicitly evaluate rate with respect number iterations terms algebraic...
The interactions between voltage-sourced converters (VSCs) and the grid may trigger unstable electromagnetic oscillations. Impedance model-based analysis is widely utilized for investigating such emerging stability issues, mainly due to its capability model black/gray-box VSC-based devices without complete knowledge of their internal control structures parameters. It well known that characteristics triggered oscillation are determined by operating conditions. However, most existing...