Changsong Liu
Associate Professor
Works on document image processing and OCR, biometric recognition, and intelligent health monitoring.
Changsong Liu's lab at Tsinghua works on recognition, detection & segmentation. 17 papers since 2023, 2 at top venues, mostly Neurocomputing and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 12%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 1
- 5 papers2024 · T1 1
- 1 papers2023 · T1 0
T1 venuesOtherVenues: Neurocomputing, AAAI, CVPR, Expert Systems with Applications, Pattern Recognition
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation8 papers
- document1 paper
- biometric recognition0 papers
- biometric0 papers
- health monitoring0 papers
Paper list
From DBLP.
20264 papers
- NeurocomputingDual-stage decoupling network for RGB-thermal salient object detection (opens in a new tab)
- Eng. Appl. Artif. Intell.Image-plane geometric decoding for view-invariant indoor scene reconstruction (opens in a new tab)
- Pattern RecognitionMS2Edge: Towards energy-efficient and crisp edge detection with multi-scale residual learning in SNNs (opens in a new tab)
- Expert Systems with ApplicationsSpiking Depth: Depth estimation from sparse events with spiking neural networks (opens in a new tab)
20257 papers
- Eng. Appl. Artif. Intell.A hybrid architecture of sparse convolutional neural network-transformer for enhanced spatial-geometric feature learning in surface reconstruction (opens in a new tab)
- NeurocomputingCycle pixel difference network for crisp edge detection (opens in a new tab)
- Knowl. Based Syst.Learning to utilize image second-order derivative information for crisp edge detection (opens in a new tab)
- AAAI (T1)Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders (opens in a new tab)
- Int. J. Mach. Learn. Cybern.Pixel-patch combination loss for refined edge detection (opens in a new tab)
- APSIPATH-LDV: Transformer-Based Hybrid Method for Signal Detection in Laser Doppler Velocimetry (opens in a new tab)
- APSIPAZero-shot Context Biasing with Trie-based Decoding using Synthetic Multi-Pronunciation (opens in a new tab)
20245 papers
- Eng. Appl. Artif. Intell.An effective method for small object detection in low-resolution images (opens in a new tab)
- CISP-BMEIFocusing on Refinement in Edge Detection Using Detailed Contour Loss (opens in a new tab)
- Appl. Intell.Generating crisp boundaries using multi-scale features and mixed loss function (opens in a new tab)
- ICDAR WorkshopHPSegNet: A Method for Handwritten and Printed Text Separation in Document Images (opens in a new tab)
- CVPR (T1)SFOD: Spiking Fusion Object Detector (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
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.
Similar labsnearest by research summary
- CNTsinghua
Haoqian Wang
- Video understanding
- USCMU
Matthew O'Toole
- Computational imaging & photography
- USCMU
Marios Savvides
- Recognition, detection & segmentation
- USNYU
Edward Wong
- Recognition, detection & segmentation
- CNZhejiang
Gaoang Wang
- Recognition, detection & segmentation
- CNPeking
Yisong Chen
- Recognition, detection & segmentation
Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
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