Chuhao Chen

ORCID: 0009-0003-6286-8964
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Research Areas
  • Network Packet Processing and Optimization
  • Software-Defined Networks and 5G
  • Advanced Polymer Synthesis and Characterization
  • Indoor and Outdoor Localization Technologies
  • Time Series Analysis and Forecasting
  • Pickering emulsions and particle stabilization
  • Advanced MIMO Systems Optimization
  • Speech and Audio Processing
  • Surfactants and Colloidal Systems
  • IoT-based Smart Home Systems
  • Tactile and Sensory Interactions
  • Stock Market Forecasting Methods
  • Network Security and Intrusion Detection
  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Caching and Content Delivery
  • Advanced Sensor and Energy Harvesting Materials
  • Catalysis for Biomass Conversion
  • Polymer composites and self-healing
  • Underwater Vehicles and Communication Systems
  • Wireless Signal Modulation Classification
  • Cognitive Radio Networks and Spectrum Sensing
  • Robot Manipulation and Learning
  • Process Optimization and Integration
  • Impact of Light on Environment and Health

Harbin Engineering University
2023-2025

NARI Group (China)
2024

State Key Laboratory of Chemical Engineering
2023-2024

East China University of Science and Technology
2023-2024

Fudan University
2022-2024

Heilongjiang University of Science and Technology
2023

Sichuan University
2023

Xiamen University
2019

10.1109/icassp49660.2025.10889830 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

10.1109/icassp49660.2025.10890394 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

10.1109/icassp49660.2025.10889161 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

10.1109/icassp49660.2025.10888083 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

This paper proposes a novel material recognition method for robotic tactile sensing. The is composed of two steps. Firstly, human-touch-inspired short-duration (1 s) slide action conducted by the robot to obtain data. Then, data processed with machine learning algorithm, where 11 bioinspired features were designed imitate mechanical stimuli towards four main types receptors in skin. In this paper, database consisting 144,000 images used train seven classifiers, and most accurate classifier...

10.3390/app9122537 article EN cc-by Applied Sciences 2019-06-21

Fingerprint-based localization has gained significant commercial value in recent years and have brought new opportunities to location-based services indoor environments. Existing fingerprint positioning studies focused on various neural networks (e.g., convolutional (CNNs), recurrent (RNNs), hybrid approaches). However, these methods are limited by their inherent defects, such as local trapping CNNs gradient extinction RNNs, which result low accuracy high training overhead. In this article,...

10.1109/jsen.2023.3318835 article EN IEEE Sensors Journal 2023-10-06

Liquid-phase 1-butene hydroisomerization to 2-butene is an important approach utilize cheap and abundant C4 olefins (normally as by-products from refinery processes), the reaction kinetics critical development of its reactors catalysts. Herein, experiments are performed understand characteristics liquid-phase over a commercial Pd/Al2O3 catalyst, three intrinsic models proposed describe rates hydrogenation reactions. The results show that selectivity toward increases with temperature,...

10.1021/acs.iecr.2c04175 article EN Industrial & Engineering Chemistry Research 2023-02-22

The unique hardware structure of Ternary Content-Addressable Memory (TCAM) enables its unparalleled lookup throughput but also causes slow update due to the Priority Order Constraint (POC). With increase application demands, TCAM has become a bottleneck in network. This paper proposes new management mechanism named BubbleTCAM enable fast update, which available empty entries are defined as bubbles. core idea Bub-bleTCAM is uniformly distribute bubbles and dependency chains TCAM, beneficial...

10.1109/iwqos54832.2022.9812904 article EN 2022-06-10

Virtual reality (VR) based surgical simulation provides the best possible scenario and repeatable training for a surgeon. In this paper, virtual system dynamic needle insertion is presented. First, piece-wise nonlinear mass-spring model was used to simulate soft tissue material properties. Then novel force algorithm proposed by considering effects of velocity diameter haptic simulation. Finally, practical experiments were conducted, validity method confirmed comparison between feedback from force.

10.1109/aim.2019.8868373 article EN 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) 2019-07-01

Abstract For switchable surfactant to be reusable, its property must activated by a stimulus after it has been utilized. Nonetheless, plenty of surfactants are environmentally harmful tertiary amines. This study investigates the biocompatible amino acid derivatives, lauroyl arginate ethyl (LAE) as new biodegradable CO 2 ‐switchable surfactant. In study, LAE was prepared and structure characterized. The variation pH value measured determine responsiveness . surface tension interfacial were...

10.1002/jsde.12692 article EN Journal of Surfactants and Detergents 2023-06-02

The tactile sensing is of significant interest for coexisting-cooperative-cognitive robots (Tri-Co robots). In order to improve the performance robot via an electronic skin (e-skin), auxiliary elastomeric substrate required. This paper investigates effect including elastic modulus, thickness and location on static at first. It found that thick with small modulus can even force distribution effectively contact area sensing. But it brought noises crosstalk e-skin when has large deformation....

10.1142/s0219843619500269 article EN International Journal of Humanoid Robotics 2019-09-25

Recently, significant advancements have been made in time-series forecasting research, with an increasing focus on analyzing the nature of data, e.g, channel-independence (CI) and channel-dependence (CD), rather than solely focusing designing sophisticated models. However, current research has primarily focused either CI or CD isolation, challenge effectively combining these two opposing properties to achieve a synergistic effect remains unresolved issue. In this paper, we carefully examine...

10.48550/arxiv.2305.04800 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Ternary Content Addressable Memory (TCAM) is widely used in Software-Defined Networking (SDN) switches due to its impressive throughput. But unique circuit design results long and inconsistent update delays. To overcome this challenge, many TCAM algorithms based on rule semantics have been proposed. These eliminate unnecessary order restrictions, thus reducing delays theory. However, most commodity are semantic-unaware, which maintain rules strict priority order. therefore not available for...

10.1109/iwqos57198.2023.10188797 article EN 2023-06-19

10.1109/ijcnn60899.2024.10651439 article EN 2022 International Joint Conference on Neural Networks (IJCNN) 2024-06-30

10.1109/infocom53939.2023.10229074 article EN IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2023-05-17
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