Jiaqi Wang

ORCID: 0000-0003-2210-9608
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About
Contact & Profiles
Research Areas
  • Photonic and Optical Devices
  • Advanced Fiber Laser Technologies
  • Advanced Fiber Optic Sensors
  • Plasmonic and Surface Plasmon Research
  • Photonic Crystals and Applications
  • Optical Network Technologies
  • Semiconductor Lasers and Optical Devices
  • Mechanical and Optical Resonators
  • Gas Sensing Nanomaterials and Sensors
  • Photonic Crystal and Fiber Optics
  • Analytical Chemistry and Sensors
  • Advanced Chemical Sensor Technologies
  • Advanced Neural Network Applications
  • Advanced Sensor and Energy Harvesting Materials
  • Domain Adaptation and Few-Shot Learning
  • Semiconductor Quantum Structures and Devices
  • Spectroscopy and Laser Applications
  • Optical Coatings and Gratings
  • Advanced Photonic Communication Systems
  • Intensive Care Unit Cognitive Disorders
  • Advanced Image and Video Retrieval Techniques
  • Nanowire Synthesis and Applications
  • Anesthesia and Neurotoxicity Research
  • ZnO doping and properties
  • Conducting polymers and applications

Shenzhen University
2017-2025

Nanjing University of Science and Technology
2025

Integrated Optoelectronics (Norway)
2025

Ocean University of China
2025

Sichuan University
2024

Soochow University
2024

Nanjing Tech University
2023-2024

State Key Laboratory of Information Photonics and Optical Communications
2022-2024

Beijing University of Posts and Telecommunications
2022-2024

Beijing Normal University
2024

Cascade is a classic yet powerful architecture that has boosted performance on various tasks. However, how to introduce cascade instance segmentation remains an open question. A simple combination of R-CNN and Mask only brings limited gain. In exploring more effective approach, we find the key successful fully leverage reciprocal relationship between detection segmentation. this work, propose new framework, Hybrid Task (HTC), which differs in two important aspects: (1) instead performing...

10.1109/cvpr.2019.00511 preprint EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019-06-01

Region anchors are the cornerstone of modern object detection techniques. State-of-the-art detectors mostly rely on a dense anchoring scheme, where sampled uniformly over spatial domain with predefined set scales and aspect ratios. In this paper, we revisit foundational stage. Our study shows that it can be done much more effectively efficiently. Specifically, present an alternative named Guided Anchoring, which leverages semantic features to guide anchoring. The proposed method jointly...

10.1109/cvpr.2019.00308 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019-06-01

Feature upsampling is a key operation in number of modern convolutional network architectures, e.g. feature pyramids. Its design critical for dense prediction tasks such as object detection and semantic/instance segmentation. In this work, we propose Content-Aware ReAssembly FEatures (CARAFE), universal, lightweight highly effective operator to fulfill goal. CARAFE has several appealing properties: (1) Large field view. Unlike previous works (e.g. bilinear interpolation) that only exploit...

10.1109/iccv.2019.00310 article EN 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2019-10-01

Graphene's unique electronic and optical properties have made it an attractive material for developing ultrafast short-wave infrared (SWIR) photodetectors. However, the performance of graphene SWIR photodetectors has been limited by low absorption as well ultrashort lifetime photoinduced carriers. Here, we present two mechanisms to overcome these shortages demonstrate a graphene-based photodetector with high responsivity fast photoresponse. In particular, vertical built-in field is employed...

10.1021/acsnano.6b06172 article EN ACS Nano 2016-12-24

Instance segmentation has witnessed a remarkable progress on class-balanced benchmarks. However, they fail to perform as accurately in real-world scenarios, where the category distribution of objects naturally comes with long tail. Instances head classes dominate long-tailed dataset and serve negative samples tail categories. The overwhelming gradients lead biased learning process for classifiers. Consequently, categories are more likely be misclassified backgrounds or To tackle this...

10.1109/cvpr46437.2021.00957 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021-06-01

Microring resonators, due to their ability enable robust strong light–matter interactions within structures, have garnered substantial interest for utility in sensing applications, particularly the realm of gas detection. However, there is an inherent trade-off between a microring resonator's quality factor and confinement air, making it difficult balance them. Here, we demonstrate novel solution with suspended nanomembrane silicon (SNS) resonator. This resonator has ultrathin sub-wavelength...

10.1063/5.0189343 article EN mit Applied Physics Reviews 2024-05-01

A fast-response photodetector is developed, which highly photoresponsive and works over a broadband. It fabricated using combination of chemical vapor deposition graphene silicon, together with the utilization lateral photoconductor operating mode. The exhibits high responsivities ≈1.0 × 104 ≈0.23 W−1 in visible (632 nm) infrared regions (1550 nm), respectively. response time both below 3 μs spectral regions. As service to our authors readers, this journal provides supporting information...

10.1002/adom.201500127 article EN Advanced Optical Materials 2015-05-12

A highly sensitive and label-free fiber optic surface plasmon resonance (SPR) biosensor for specific detection of C-reactive protein (CRP) is proposed demonstrated. We take dopamine as a cross-linking agent to immobilize the anti-CRP monoclonal antibody, which an efficient simple method modification SPR sensor. The modified sensor can successfully detect CRP specifically. realize fabrication disposable detection. Through optimizing immobilization time antibody reaction antigen...

10.1038/s41598-017-17276-3 article EN cc-by Scientific Reports 2017-11-28

High-performance object detection relies on expensive convolutional networks to compute features, often leading significant challenges in applications, e.g. those that require detecting objects from video streams real time. The key this problem is trade accuracy for efficiency an effective way, i.e. reducing the computing cost while maintaining competitive performance. To seek a good balance, previous efforts usually focus optimizing model architectures. This paper explores alternative...

10.1109/cvpr.2018.00815 article EN 2018-06-01

We demonstrated strong optical absorption in a graphene integrated silicon slot waveguide. Due to the increase light intensity and decrease of mode confinement slot, experienced an increased interaction in-plane light. A waveguide 0.935 dB μm−1 was measured at 1.55 μm wavelengths. Based on graphene-on-silicon waveguide, compact high-responsivity photodetector demonstrated. Benefited from lack efficient electron cooling suspended enhancement effect nano maximum responsivity 0.273 W−1 achieved...

10.1039/c6nr03122f article EN Nanoscale 2016-01-01

Abstract Two‐dimensional materials are a promising solution for next‐generation electronic and optoelectronic devices due to their unique properties. Owing the atomic thickness of 2D materials, light‐matter interaction length in is much shorter than that bulk which limits performance composed materials. To improve interactions, optical micro/nano architectures have been introduced into material devices. In this review, we present concise introduction discussion various strategies enhancement...

10.1002/inf2.12148 article EN cc-by InfoMat 2020-09-15

Compact and smart optical gas sensors have attracted significant attention over the past few decades. Among materials used for developing such sensors, group-IV materials, including silicon, germanium, carbon allotropes, their compounds, are considered most promising candidates. By virtue of inherent compatibility with CMOS fabrication process in mature microelectronics industry, on-chip based on merits appreciable sensitivity high-density integration. Moreover, potential to be integrated...

10.1021/acsphotonics.0c00976 article EN ACS Photonics 2020-11-07

Self-powered smart windows are desirable with the expectations of their energy-saving, weather-independent, user-controllable, and miniature performance. Recently developed solar- or thermal-powered largely depend on weather conditions have an extremely slow response, only a certain portion saved energy can be utilized by external circuit for mode conversion. In this work, self-powered normally transparent window was conjunction rotary freestanding sliding triboelectric nanogenerator...

10.1021/acsnano.0c00107 article EN ACS Nano 2020-02-20

Silicon photonic devices used in the photonics industry over past three decades have helped realizing large-scale integrated circuits. nitride (Si <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> N xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> ) is another CMOS-compatible platform that provides several advantages such as low loss, high optical power tolerance, and broad spectral operation band from visible to infrared wavelengths....

10.1109/access.2020.3032186 article EN cc-by IEEE Access 2020-01-01

We demonstrate giant mid-infrared light absorption of a PtSe 2 -on-silicon waveguide by integrating film on an ultra-thin silicon waveguide, opening avenue to developing high-performance optoelectronic integrated circuits.

10.1039/d3nr05983a article EN Nanoscale 2024-01-01
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