XIAOCHEN YUAN

Phone8599 6434
Emailxcyuanmpu.edumo

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 3 Good Health and Well-being

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Dive into the research topics where XIAOCHEN YUAN is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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134 Article
68 Conference contribution
2 Conference article
1 Chapter

AMGL: Adaptive Multimodal Graph Learning for Brain Disease Prediction
Wu, R., He, J., Huang, G., Yuan, X., Feng, Z., Li, Y., Zhong, G., Ling, W. K., Pun, C. M. & Yang, Q., 2026, (Accepted/In press) In: IEEE Transactions on Radiation and Plasma Medical Sciences.
Research output: Contribution to journal › Article › peer-review
A noise-assistant network for tampering detection via inconspicuous feature enhancement and multi-perspective perception
Xie, Z., Yuan, X., Lam, C. T., Huang, G. & Lourenço, N., 15 Jan 2026, In: Expert Systems with Applications. 296, 129089.
Research output: Contribution to journal › Article › peer-review
A novel quantum dialogue protocol using triangle star cluster states for dynamic multiparty communication
Zheng, X., Lam, C. T., Xing, Z. & Yuan, X., Mar 2026, In: Quantum Information Processing. 25, 3, 72.
Research output: Contribution to journal › Article › peer-review
An SAM Fine-Tuning Framework With Frequency-Domain Interactive LoRA for Remote Sensing Change Detection
Huang, J., Ji, S., Wang, Y., Xia, M. & Yuan, X., 2026, In: IEEE Transactions on Geoscience and Remote Sensing. 64, 4500519.
Research output: Contribution to journal › Article › peer-review
Decoding coefficients recovery based on modified Gauss-Jordan elimination for tampered content reconstruction
Liu, T., Zhuang, L., Huang, G., Pun, C. M. & Yuan, X., 1 May 2026, In: Expert Systems with Applications. 308, 131166.
Research output: Contribution to journal › Article › peer-review

Researchers from Faculty of Applied Sciences Detail Findings in Technology (Lungscope: an Intelligent Embedded System With a Lightweight Model for Real-time Lung Sound Analysis)
LAM, C. T., IM, S. K. & YUAN, X.
4/03/26
1 item of Media coverage
Press/Media
New Information and Data Encoding and Encryption Data Have Been Reported by Researchers at Faculty of Applied Sciences (Using 3d-lmm-based Encryption To Secure Digital Images With 3-d S-box and Fibonacci q -matrix)
YUAN, X.
23/01/26
1 item of Media coverage
Press/Media
Investigators from Faculty of Applied Sciences Zero in on Engineering (A Noise-assistant Network for Tampering Detection Via Inconspicuous Feature Enhancement and Multi-perspective Perception)
LAM, C. T. & YUAN, X.
20/01/26
1 item of Media coverage
Press/Media
New Computers and Electrical Engineering Findings from Faculty of Applied Sciences Discussed (Low-complexity Dqed: Advancing Dual-scenario Quantum Edge Detection for Enhanced Image Analysis)
LAM, C. T., IM, S. K. & YUAN, X.
3/10/25
1 item of Media coverage
Press/Media
Studies from Faculty of Applied Sciences Describe New Findings in Engineering (TDJSCC: Low Complexity and Bandwidth Efficient Deep Joint Source-Channel Coding With OFDM)
LAM, C. T., IM, S. K., NG, K. K. B. & YUAN, X.
15/09/25
1 item of Media coverage
Press/Media

XIAOCHEN YUAN

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

AMGL: Adaptive Multimodal Graph Learning for Brain Disease Prediction

A noise-assistant network for tampering detection via inconspicuous feature enhancement and multi-perspective perception

A novel quantum dialogue protocol using triangle star cluster states for dynamic multiparty communication

An SAM Fine-Tuning Framework With Frequency-Domain Interactive LoRA for Remote Sensing Change Detection

Decoding coefficients recovery based on modified Gauss-Jordan elimination for tampered content reconstruction

Researchers from Faculty of Applied Sciences Detail Findings in Technology (Lungscope: an Intelligent Embedded System With a Lightweight Model for Real-time Lung Sound Analysis)

New Information and Data Encoding and Encryption Data Have Been Reported by Researchers at Faculty of Applied Sciences (Using 3d-lmm-based Encryption To Secure Digital Images With 3-d S-box and Fibonacci q -matrix)

Investigators from Faculty of Applied Sciences Zero in on Engineering (A Noise-assistant Network for Tampering Detection Via Inconspicuous Feature Enhancement and Multi-perspective Perception)

New Computers and Electrical Engineering Findings from Faculty of Applied Sciences Discussed (Low-complexity Dqed: Advancing Dual-scenario Quantum Edge Detection for Enhanced Image Analysis)

Studies from Faculty of Applied Sciences Describe New Findings in Engineering (TDJSCC: Low Complexity and Bandwidth Efficient Deep Joint Source-Channel Coding With OFDM)

XIAOCHEN YUAN

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media