Zhiheng Yang

ORCID: 0009-0005-3721-2650
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About
Contact & Profiles
Research Areas
  • Microbial Metabolic Engineering and Bioproduction
  • CRISPR and Genetic Engineering
  • Autonomous Vehicle Technology and Safety
  • Video Surveillance and Tracking Methods
  • Biofuel production and bioconversion
  • Advanced Neural Network Applications
  • RNA and protein synthesis mechanisms
  • Microbial Natural Products and Biosynthesis
  • Natural Language Processing Techniques
  • Genomics and Phylogenetic Studies
  • Vehicle Dynamics and Control Systems
  • Topic Modeling
  • Bacteriophages and microbial interactions
  • Traffic and Road Safety
  • Plant-Microbe Interactions and Immunity
  • Microbial Fuel Cells and Bioremediation
  • Control and Dynamics of Mobile Robots
  • Forest Ecology and Biodiversity Studies
  • Text Readability and Simplification
  • Algal biology and biofuel production
  • bioluminescence and chemiluminescence research
  • Mycorrhizal Fungi and Plant Interactions
  • Plant Physiology and Cultivation Studies
  • Handwritten Text Recognition Techniques
  • Real-time simulation and control systems

Fudan University
2024-2025

Institute of Microbiology
2022-2025

Chinese Academy of Sciences
2020-2025

Microbiology Institute of Shaanxi
2022-2025

Czech Academy of Sciences, Institute of Microbiology
2025

Southeast University
2024

East China University of Science and Technology
2019-2024

Information Technology Laboratory
2023

Shenzhen Institutes of Advanced Technology
2018-2022

Shenzhen Academy of Robotics
2021

Abstract Besides genome editing, CRISPR-Cas12a has recently been used for DNA detection applications with attomolar sensitivity but, to our knowledge, it not the of small molecules. Bacterial allosteric transcription factors (aTFs) have evolved sense and respond sensitively a variety molecules benefit bacterial survival. By combining single-stranded cleavage ability competitive binding activities aTFs double-stranded DNA, here we develop simple, supersensitive, fast high-throughput platform...

10.1038/s41467-019-11648-1 article EN cc-by Nature Communications 2019-08-14

Abstract Direct cloning of biosynthetic gene clusters (BGCs) from microbial genomes facilitates natural product-based drug discovery. Here, by combining Cas12a and the advanced features bacterial artificial chromosome library construction, we developed a fast yet efficient in vitro platform for directly capturing large BGCs, named CAT-FISHING (CRISPR/Cas12a-mediated direct cluster cloning). As demonstrations, several BGCs different actinomycetal genomic DNA samples were efficiently captured...

10.1093/nar/gkac181 article EN cc-by-nc Nucleic Acids Research 2022-03-10

Thermophilic cell factories have remarkably broad potential for industrial applications, but are limited by a lack of genetic manipulation tools and recalcitrance to transformation. Here, we identify thermophilic type I-B CRISPR-Cas system from Parageobacillus thermoglucosidasius find it displays highly efficient transcriptional repression or DNA cleavage activity that can be switched adjusting crRNA length less than greater 26 bp, respectively, without ablating Cas3 nuclease. We then...

10.1038/s41467-023-41973-5 article EN cc-by Nature Communications 2023-10-04

Autonomous vehicles have been gaining increasing attentions, one key research interesting is stable path tracking for an advanced driver assistance system. This paper investigates Pure Pursuit, Stanley, Linear Quadratic Regulator (LQR) and Model Predictive Control (MPC) with Ackerman steering model these methods are tested on different shape paths in simulation experiments. It demonstrated that the performances of LQR MPC controllers better than those using Pursuit Stanley controllers. In...

10.1109/rcar52367.2021.9517448 article EN 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) 2021-07-15

10.1109/icassp49660.2025.10887716 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

The potential advantages for fermentation production of chemicals at high temperatures are attractive, such as promoting the rate biochemical reactions, reducing risk contamination and energy consumption fermenter cooling. In this work, we de novo engineered thermophile Geobacillus thermoglucosidasius to produce riboflavin, since bacterium can ferment diverse carbohydrates an optimal temperature 60°C with a growth rate. We first introduced heterogeneous riboflavin biosynthetic gene cluster...

10.1111/1751-7915.13543 article EN cc-by Microbial Biotechnology 2020-02-25

Trajectory tracking is a key technology for precisely controlling autonomous vehicles. In this paper, we propose trajectory-tracking method based on model predictive control. Instead of using the forward Euler integration method, backward used to establish model. To meet real-time requirement, constraint imposed control law and warm-start technique employed. The MPC-based controller proved be stable. simulation results demonstrate that, at cost no or little increase in computational time,...

10.3390/s21217165 article EN cc-by Sensors 2021-10-28

Fast and efficient pedestrian detection technology has become an increasingly important task in the autonomous driving technology. Traditional algorithms are usually too time-consuming to meet realtime requirements of driving. In this paper, we propose a new algorithm based on Darknet with optimized feature concatenation, hard negative mining, multi-scale training, model pretraining, proper calibration key parameters. view characteristics system, adopt priori experience about box sizes,...

10.1109/icoias.2018.8494031 article EN 2018-03-01

Fast and efficient pedestrian detection vehicle has become an increasingly important task in the autonomous driving technology. In this paper, we propose a new algorithm based on YOLOv2 with optimized feature extraction. We adopt priori experience about box sizes, instead of K-mean clustering original algorithm. first conduct statistical analysis dataset label vehicles, then design initial value pre-selection that is more line characteristics vehicle. Together hard negative mining,...

10.1109/ivs.2018.8500642 article EN 2022 IEEE Intelligent Vehicles Symposium (IV) 2018-06-01

Test the safety of Autonomous Driving Systems (ADS) with realistic traffic conditions is important to insurance industry, legislators, and third-party technical services. However, scarcity risky driving events distributed in real-world often makes sampling inefficient. In this paper, we propose a unified hierarchical testing framework for efficient unbiased tests ADS. We first extract risk subspace from Naturalistic Data (NDD) defined measures. Subsequently, use Gaussian Copula method...

10.1109/tiv.2022.3213310 article EN IEEE Transactions on Intelligent Vehicles 2022-10-10

is emerging as a highly promising thermophilic organism for metabolic engineering. The utilization of CRISPR-Cas technologies has facilitated programmable genetic manipulation in

10.1016/j.synbio.2024.05.009 article EN cc-by Synthetic and Systems Biotechnology 2024-05-17

The versatile photosynthetic α-proteobacterium Rhodobacter sphaeroides, has recently been extensively engineered as a novel microbial cell factory (MCF) to produce pharmaceuticals, nutraceuticals, commodity chemicals and even hydrogen. However, there are no well-characterized high-activity promoters modulate gene transcription during the engineering of R. sphaeroides. In this study, several native from sphaeroides JDW-710 (JDW-710), an industrial strain producing high levels co-enzyme Q10...

10.1016/j.synbio.2021.09.011 article EN cc-by-nc-nd Synthetic and Systems Biotechnology 2021-09-30

Reinforcement learning methods have promising applications in autonomous vehicles, such as lane keeping, adaptive cruise control, and overtaking. However, long-time sequential decision making complicated scenarios, continuous high-speed overtaking, remains challenge. One challenge is that current neural networks reinforcement employ a shallow network, which has limitations feature extractions. To address this, we propose deep actor–critic network framework using multilayer dense-connection...

10.1109/mits.2022.3174410 article EN IEEE Intelligent Transportation Systems Magazine 2022-06-06

As synthetic biology enters the era of quantitative biology, mathematical information such as kinetic parameters enzymes can offer us an accurate knowledge metabolism and growth cells, further guidance on precision metabolic engineering. kcat , termed turnover number, is a basic parameter that describes maximum number substrates converted to products each active site per unit time. It reflects enzyme activity essential for understanding biosystems. Usually, values are measured in vitro, thus...

10.1016/j.synbio.2021.12.006 article EN cc-by Synthetic and Systems Biotechnology 2022-01-05

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4790856 preprint EN 2024-01-01

10.1109/bigdata62323.2024.10825861 article EN 2021 IEEE International Conference on Big Data (Big Data) 2024-12-15

Embryogenesis induction from anthers of diploid and triploid loquat (Eriobotrya japonica Lindl.) was evaluated. The effects cultivar, stage flower buds culture media were tested. A correlation found between diameters the microspore developmental stages in both cultivars. Callus rates appropriate varied according to cultivars used, ranging about 60 (triploid) 78% (diploid). shared same pattern embryoid influenced by zeatin, NAA, IBA, although optimal for anther cultivar dependent.

10.17660/actahortic.2015.1092.9 article EN Acta Horticulturae 2015-08-01
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