A5101824364- Gas Sensing Nanomaterials and Sensors
- Analytical Chemistry and Sensors
- ZnO doping and properties
- Advanced Chemical Sensor Technologies
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Transition Metal Oxide Nanomaterials
- Advanced Neural Network Applications
- Forest Management and Policy
- Forest Biomass Utilization and Management
- Adsorption and Cooling Systems
- Forest ecology and management
- Liver Disease Diagnosis and Treatment
- Refrigeration and Air Conditioning Technologies
- Gut microbiota and health
- Thermal Radiation and Cooling Technologies
- Heat Transfer and Optimization
- Advanced Thermodynamics and Statistical Mechanics
- Privacy-Preserving Technologies in Data
- Generative Adversarial Networks and Image Synthesis
- Magnetic Properties and Applications
- Diet and metabolism studies
- Nanowire Synthesis and Applications
- Cryptography and Data Security
- Mobile Crowdsensing and Crowdsourcing
Tsinghua–Berkeley Shenzhen Institute
2021-2025
Tsinghua University
2021-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
Beijing University of Chinese Medicine
2024
Harbin Institute of Technology
2018-2024
Peng Cheng Laboratory
2022-2023
North China Electric Power University
2023
Beijing Forestry University
2022
China University of Geosciences
2018-2022
Anhui Agricultural University
2022
Obtaining a well-trained model involves expensive data collection and training procedures, therefore the is valuable intellectual property. Recent studies revealed that adversaries can `steal' deployed models even when they have no samples not get access to parameters or structures. Currently, there were some defense methods alleviate this threat, mostly by increasing cost of stealing. In paper, we explore from another angle verifying whether suspicious contains knowledge defender-specified...
Metal sulfide Zn1–xCdxS nanowires (NWs) covering the entire compositional range prepared by one step solvothermal method were used to fabricate gas sensors. This is first time for ternary metal nanostructures be in field of sensing. Surprisingly, sensors based on found exhibit enhanced response ethanol compared those binary CdS and ZnS NWs. Especially sensor (x = 0.4) NWs, a large (s 12.8) quick rise (2 s) recovery (1 observed at 206 °C toward 20 ppm ethanol, showing preferred selectivity. A...
The chemical and optical properties of 1D single-crystalline cadmium sulfide (CdS) nanowires (NWs) synthesized by a solvothermal method were discussed systematically. CdS NW was characterized using different analytical techniques. In our work, employed as the active nanomaterial to detect ethanol gas for first time showed good sensing performance. Especially, fast response (0.4 s) recovery speed (0.2 100 ppm much faster than reported values. visible-light detector based on NWs demonstrated...
Currently, deep neural networks (DNNs) are widely adopted in different applications. Despite its commercial values, training a well-performing DNN is resource-consuming. Accordingly, the well-trained model valuable intellectual property for owner. However, recent studies revealed threats of stealing, where adversaries can obtain function-similar copy victim model, even when they only query model. In this paper, we propose an effective and harmless ownership verification (MOVE) to defend...
ZnO@CdS heterostructure prepared by solvothermal method was used to fabricate visible-light photodetector which showed better photon sensing property than the pristine CdS nanowires based device.
Bowl-like TiO<sub>2</sub> submicron particles prepared by electrospray technique were used to detect xylene gas and Ni element was added into improve the sensing performances.
ZnO nanorings are synthesized by the Ostwald ripening of nanoplates and porous film formed shows an excellent trimethylamine-sensing property.
A Au@In<sub>2</sub>O<sub>3</sub> core–shell nanostructure was prepared <italic>via</italic> a sol–gel method firstly. The sensor showed rapid response and perfect selectivity to ethanol.
We demonstrate a high performance STPSC with significantly improved CRI of 91 and PCE 5.01% by introducing 1DPCs.
The best condition of the α-MoO<sub>3</sub>nanobelts was researched<italic>via</italic>hydrothermal treatment strategy. showed rapid response and low working temperature to xylene detection.
Federated learning (FL) enables data owners to train a global model with shared gradients while keeping private training locally. However, recent research demonstrated that the adversary may infer of clients from exchanged local gradients, e.g., having deep leakage (DLGs). Many existing privacy-preserving approaches take usage differential privacy (DP) guarantee privacy. Nevertheless, widely used budget DP (e.g., evenly distribution) leads sharp decline accuracy. To improve accuracy, some...
Highly base-free catalytic of biomass-derived feedstock into value-added chemical is great interest in catalysis but remains a challenge. Herein, hollow nanocatalyst composed Au nanoparticles as the core and Zn/Ni bimetallic metal–organic frameworks (MOFs) functionalized with −NH2 ligand shell (Au@Zn/Ni-MOF-2-NH2) fabricated through straightforward one-pot hydrothermal method for highly efficient, selective, synthesis d-xylonic acid by oxidation d-xylose. Experimental theoretical results...
Au nanoparticles with a size of 3–10 nm were decorated discretely on the surface ZnO nanorings porous Au–ZnO showing highly enhanced acetylene-sensing properties.
In this report, a metal–semiconductor–metal (MSM) ultraviolet photodetector based on ZnO nanofiber film with Au electrodes was demonstrated. The nanofibers were synthesized via effective electrospinning process and characterized by means of XRD , SEM XPS UV –visible absorption spectra. At 5 V bias, the dark current device 17.8 nA. Under irradiation 260 nm light, photocurrent could reach 11.5 μA high responsivity 790 A/W achieved due to large internal gain. mechanism photoconductive gain...
Unique hierarchical nanostructures of a Cr<sub>2</sub>O<sub>3</sub>@WO<sub>3</sub> sensor were prepared <italic>via</italic> water bath method, showing extraordinary sensing properties for xylene.