Xing Lin
Assistant Professor
Works on photonic computing chips and optoelectronic intelligent computing, including diffractive optical neural networks.
Xing Lin's lab at Tsinghua works on accelerators, chips & architecture. 13 papers since 2023. 7 PhD students. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 0%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 0
- 5 papers2024 · T1 0
- 4 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- photonic4 papers
- optical4 papers
- Accelerators, chips & architecture0 papers
- optoelectronic0 papers
- computing chips0 papers
Paper list
From the lab homepage.
20261 paper
- Laser & Photonics ReviewsMeta-Training of Diffractive Meta-Neural Networks for Super-Resolution Direction of Arrival Estimation.
20253 papers
- CLEOAll-optical Computing for Direction-of-arrival Estimation Beyond Diffraction Limits.
- ETAISuper-resolution focusing spots generation using diffractive neural networks.
- CIOPUltra-spectral perception with reconfigurable scanning capability using super-resolution diffractive neural networks.
20245 papers
- Light: Science & ApplicationsDemixing microwave signals using system-on-chip photonic processor
- Engineering 35 : 56-66EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units
- Nanophotonics : 0233Opto-intelligence spectrometer using diffractive neural networks
- Light: Science & ApplicationsSuper-resolution diffractive neural network for all-optical direction of arrival estimation beyond diffraction limits
- Advanced PhotonicsSuperresolution imaging usingsuperoscillatory diffractive neural networks.
20234 papers
- Nature Machine Intelligence : 1-11Dual adaptive training of photonic neural networks
- NanophotonicsOptical multi-task learning using multi-wavelength diffractive deep neural networks
- Optics LettersOptical Neural Ordinary Differential Equations
- Science AdvancesPhotonic unsupervised learning variational autoencoder for high-throughput and low-latency image transmission
Where alumni went4 listed
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
Checked against the lab homepage.
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- Papers
- The lab homepage
- Members
- Lab homepage
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- Lab homepage
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